iarroyof
...@@ -21,7 +21,7 @@ The main method follows the next pipeline: ...@@ -21,7 +21,7 @@ The main method follows the next pipeline:
21 For filtering unknown abstracts run 21 For filtering unknown abstracts run
22 22
23 ```bash 23 ```bash
24 -$ python filter_abstracts.py --input data/ecoli_abstracts/useful_abstracts.txt 24 +$ python filter_abstracts.py --input data/test_abstracts.txt
25 ``` 25 ```
26 The predictions will be stored by default at `filter_output/`, unless a different directory is specified by means of the `--out` option. The default names containing the predicitons are 26 The predictions will be stored by default at `filter_output/`, unless a different directory is specified by means of the `--out` option. The default names containing the predicitons are
27 27
......
1 +
2 +1. Methods Mol Biol. 2018;1737:77-88. doi: 10.1007/978-1-4939-7634-8_5.
3 +
4 +Identification of New Bacterial Small RNA Targets Using MS2 Affinity Purification
5 +Coupled to RNA Sequencing.
6 +
7 +Carrier MC(1), Laliberté G(1), Massé E(2).
8 +
9 +Author information:
10 +(1)Department of Biochemistry, RNA Group, Université de Sherbrooke, Sherbrooke,
11 +QC, Canada.
12 +(2)Department of Biochemistry, RNA Group, Université de Sherbrooke, Sherbrooke,
13 +QC, Canada. eric.masse@usherbrooke.ca.
14 +
15 +Small regulatory RNAs (sRNAs) are ubiquitous regulatory molecules expressed in
16 +living cells. In prokaryotes, sRNAs usually bind to target mRNAs to either
17 +promote their degradation or interfere with translation initiation. Because a
18 +single sRNA can regulate a considerable number of target mRNAs, we seek to
19 +identify those targets rapidly and reliably. Here, we present a robust method
20 +based on the co-purification of target mRNAs bound to MS2-tagged sRNAs expressed
21 +in vivo. After purification of the tagged-sRNA, we use RNAseq to determine the
22 +identity of all RNA interacting partners and their enrichment level. We describe
23 +how to analyze the RNAseq data through the Galaxy Project Platform bioinformatics
24 +tools to identify new mRNA targets. This technique is applicable to most sRNAs of
25 +E. coli and Salmonella.
26 +
27 +DOI: 10.1007/978-1-4939-7634-8_5
28 +PMID: 29484588
29 +
30 +
31 +2. BMC Evol Biol. 2018 Feb 12;18(1):21. doi: 10.1186/s12862-018-1134-0.
32 +
33 +A novel short L-arginine responsive protein-coding gene (laoB) antiparallel
34 +overlapping to a CadC-like transcriptional regulator in Escherichia coli O157:H7
35 +Sakai originated by overprinting.
36 +
37 +Hücker SM(1)(2), Vanderhaeghen S(1), Abellan-Schneyder I(1)(3), Wecko R(1), Simon
38 +S(4), Scherer S(1)(5), Neuhaus K(6)(7).
39 +
40 +Author information:
41 +(1)Chair for Microbial Ecology, Wissenschaftszentrum Weihenstephan, Technische
42 +Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany.
43 +(2)Fraunhofer ITEM-R, Am Biopark 9, 93053, Regensburg, Germany.
44 +(3)Core Facility Microbiome/NGS, ZIEL - Institute for Food & Health, Technische
45 +Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany.
46 +(4)Department of Computer and Information Science, University of Konstanz, Box
47 +78, 78457, Konstanz, Germany.
48 +(5)ZIEL - Institute for Food & Health, Technische Universität München,
49 +Weihenstephaner Berg 3, 85354, Freising, Germany.
50 +(6)Chair for Microbial Ecology, Wissenschaftszentrum Weihenstephan, Technische
51 +Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany.
52 +neuhaus@tum.de.
53 +(7)Core Facility Microbiome/NGS, ZIEL - Institute for Food & Health, Technische
54 +Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany.
55 +neuhaus@tum.de.
56 +
57 +BACKGROUND: Due to the DNA triplet code, it is possible that the sequences of two
58 +or more protein-coding genes overlap to a large degree. However, such non-trivial
59 +overlaps are usually excluded by genome annotation pipelines and, thus, only a
60 +few overlapping gene pairs have been described in bacteria. In contrast,
61 +transcriptome and translatome sequencing reveals many signals originated from the
62 +antisense strand of annotated genes, of which we analyzed an example gene pair in
63 +more detail.
64 +RESULTS: A small open reading frame of Escherichia coli O157:H7 strain Sakai
65 +(EHEC), designated laoB (L-arginine responsive overlapping gene), is embedded in
66 +reading frame -2 in the antisense strand of ECs5115, encoding a CadC-like
67 +transcriptional regulator. This overlapping gene shows evidence of transcription
68 +and translation in Luria-Bertani (LB) and brain-heart infusion (BHI) medium based
69 +on RNA sequencing (RNAseq) and ribosomal-footprint sequencing (RIBOseq). The
70 +transcriptional start site is 289 base pairs (bp) upstream of the start codon and
71 +transcription termination is 155 bp downstream of the stop codon. Overexpression
72 +of LaoB fused to an enhanced green fluorescent protein (EGFP) reporter was
73 +possible. The sequence upstream of the transcriptional start site displayed
74 +strong promoter activity under different conditions, whereas promoter activity
75 +was significantly decreased in the presence of L-arginine. A strand-specific
76 +translationally arrested mutant of laoB provided a significant growth advantage
77 +in competitive growth experiments in the presence of L-arginine compared to the
78 +wild type, which returned to wild type level after complementation of laoB in
79 +trans. A phylostratigraphic analysis indicated that the novel gene is restricted
80 +to the Escherichia/Shigella clade and might have originated recently by
81 +overprinting leading to the expression of part of the antisense strand of
82 +ECs5115.
83 +CONCLUSIONS: Here, we present evidence of a novel small protein-coding gene laoB
84 +encoded in the antisense frame -2 of the annotated gene ECs5115. Clearly, laoB is
85 +evolutionarily young and it originated in the Escherichia/Shigella clade by
86 +overprinting, a process which may cause the de novo evolution of bacterial genes
87 +like laoB.
88 +
89 +DOI: 10.1186/s12862-018-1134-0
90 +PMCID: PMC5810103
91 +PMID: 29433444
92 +
93 +
94 +3. PLoS One. 2017 Sep 13;12(9):e0184119. doi: 10.1371/journal.pone.0184119.
95 +eCollection 2017.
96 +
97 +Discovery of numerous novel small genes in the intergenic regions of the
98 +Escherichia coli O157:H7 Sakai genome.
99 +
100 +Hücker SM(1)(2), Ardern Z(1)(2), Goldberg T(3), Schafferhans A(3), Bernhofer
101 +M(3), Vestergaard G(4), Nelson CW(5), Schloter M(4), Rost B(3), Scherer S(1)(2),
102 +Neuhaus K(1)(6).
103 +
104 +Author information:
105 +(1)Chair for Microbial Ecology, Technische Universität München, Freising,
106 +Germany.
107 +(2)ZIEL - Institute for Food & Health, Technische Universität München, Freising,
108 +Germany.
109 +(3)Department of Informatics-Bioinformatics & TUM-IAS, Technische Universität
110 +München, Garching, Germany.
111 +(4)Research Unit Environmental Genomics, Helmholtz Zentrum München, Neuherberg,
112 +Germany.
113 +(5)Sackler Institute for Comparative Genomics, American Museum of Natural History
114 +New York, New York, United States of America.
115 +(6)Core Facility Microbiome/NGS, ZIEL - Institute for Food & Health, Technische
116 +Universität München, Freising, Germany.
117 +
118 +In the past, short protein-coding genes were often disregarded by genome
119 +annotation pipelines. Transcriptome sequencing (RNAseq) signals outside of
120 +annotated genes have usually been interpreted to indicate either ncRNA or
121 +pervasive transcription. Therefore, in addition to the transcriptome, the
122 +translatome (RIBOseq) of the enteric pathogen Escherichia coli O157:H7 strain
123 +Sakai was determined at two optimal growth conditions and a severe stress
124 +condition combining low temperature and high osmotic pressure. All intergenic
125 +open reading frames potentially encoding a protein of ≥ 30 amino acids were
126 +investigated with regard to coverage by transcription and translation signals and
127 +their translatability expressed by the ribosomal coverage value. This led to
128 +discovery of 465 unique, putative novel genes not yet annotated in this E. coli
129 +strain, which are evenly distributed over both DNA strands of the genome. For 255
130 +of the novel genes, annotated homologs in other bacteria were found, and a
131 +machine-learning algorithm, trained on small protein-coding E. coli genes,
132 +predicted that 89% of these translated open reading frames represent bona fide
133 +genes. The remaining 210 putative novel genes without annotated homologs were
134 +compared to the 255 novel genes with homologs and to 250 short annotated genes of
135 +this E. coli strain. All three groups turned out to be similar with respect to
136 +their translatability distribution, fractions of differentially regulated genes,
137 +secondary structure composition, and the distribution of evolutionary constraint,
138 +suggesting that both novel groups represent legitimate genes. However, the
139 +machine-learning algorithm only recognized a small fraction of the 210 genes
140 +without annotated homologs. It is possible that these genes represent a novel
141 +group of genes, which have unusual features dissimilar to the genes of the
142 +machine-learning algorithm training set.
143 +
144 +DOI: 10.1371/journal.pone.0184119
145 +PMCID: PMC5597208
146 +PMID: 28902868 [Indexed for MEDLINE]
147 +
148 +
149 +4. Int J Genomics. 2017;2017:6489383. doi: 10.1155/2017/6489383. Epub 2017 Jul 16.
150 +
151 +Differential MicroRNA Analyses of Burkholderia pseudomallei- and Francisella
152 +tularensis-Exposed hPBMCs Reveal Potential Biomarkers.
153 +
154 +Cer RZ(1)(2), Herrera-Galeano JE(1)(2)(3), Frey KG(1)(2), Schully KL(1)(2), Luu
155 +TV(1)(2), Pesce J(1)(2)(4), Mokashi VP(1)(5), Keane-Myers AM(1)(2)(6),
156 +Bishop-Lilly KA(1)(2).
157 +
158 +Author information:
159 +(1)Genomics and Bioinformatics Department, Biological Defense Research
160 +Directorate, Naval Medical Research Center, Frederick, MD, USA.
161 +(2)Henry M. Jackson Foundation for the Advancement of Military Medicine,
162 +Bethesda, MD, USA.
163 +(3)KCE Services and Consulting LLC, Columbia, MD, USA.
164 +(4)Division of Microbiology and Infectious Diseases, National Institute of
165 +Allergy and Infectious Diseases, Bethesda, MD, USA.
166 +(5)Navy Drug Screening Laboratory, Jacksonville, FL, USA.
167 +(6)Immunology, National Institute of Health, Bethesda, MD, USA.
168 +
169 +Increasing evidence that microRNAs (miRNAs) play important roles in the immune
170 +response against infectious agents suggests that miRNA might be exploitable as
171 +signatures of exposure to specific infectious agents. In order to identify
172 +potential early miRNA biomarkers of bacterial infections, human peripheral blood
173 +mononuclear cells (hPBMCs) were exposed to two select agents, Burkholderia
174 +pseudomallei K96243 and Francisella tularensis SHU S4, as well as to the
175 +nonpathogenic control Escherichia coli DH5α. RNA samples were harvested at three
176 +early time points, 30, 60, and 120 minutes postexposure, then sequenced. RNAseq
177 +analyses identified 87 miRNAs to be differentially expressed (DE) in a linear
178 +fashion. Of these, 31 miRNAs were tested using the miScript miRNA qPCR assay.
179 +Through RNAseq identification and qPCR validation, we identified differentially
180 +expressed miRNA species that may be involved in the early response to bacterial
181 +infections. Based upon its upregulation at early time points postexposure in two
182 +different individuals, hsa-mir-30c-5p is a miRNA species that could be studied
183 +further as a potential biomarker for exposure to these gram-negative
184 +intracellular pathogens. Gene ontology functional analyses demonstrated that
185 +programmed cell death is the first ranking biological process associated with
186 +miRNAs that are upregulated in F. tularensis-exposed hPBMCs.
187 +
188 +DOI: 10.1155/2017/6489383
189 +PMCID: PMC5534298
190 +PMID: 28791299
191 +
192 +
193 +5. PLoS One. 2017 Jun 14;12(6):e0178966. doi: 10.1371/journal.pone.0178966.
194 +eCollection 2017.
195 +
196 +Intestinal organoids model human responses to infection by commensal and Shiga
197 +toxin producing Escherichia coli.
198 +
199 +Karve SS(1), Pradhan S(1), Ward DV(2), Weiss AA(1).
200 +
201 +Author information:
202 +(1)Department of Molecular Genetics, Biochemistry, and Microbiology, University
203 +of Cincinnati, Cincinnati, Ohio, United States of America.
204 +(2)Center for Microbiome Research and Department of Microbiology and
205 +Physiological Systems, University of Massachusetts Medical School, Worcester,
206 +Massachusetts, United States of America.
207 +
208 +Infection with Shiga toxin (Stx) producing Escherichia coli O157:H7 can cause the
209 +potentially fatal complication hemolytic uremic syndrome, and currently only
210 +supportive therapy is available. Lack of suitable animal models has hindered
211 +study of this disease. Induced human intestinal organoids (iHIOs), generated by
212 +in vitro differentiation of pluripotent stem cells, represent differentiated
213 +human intestinal tissue. We show that iHIOs with addition of human neutrophils
214 +can model E. coli intestinal infection and innate cellular responses. Commensal
215 +and O157:H7 introduced into the iHIO lumen replicated rapidly achieving high
216 +numbers. Commensal E. coli did not cause damage, and were completely contained
217 +within the lumen, suggesting defenses, such as mucus production, can constrain
218 +non-pathogenic strains. Some O157:H7 initially co-localized with cellular actin.
219 +Loss of actin and epithelial integrity was observed after 4 hours. O157:H7 grew
220 +as filaments, consistent with activation of the bacterial SOS stress response.
221 +SOS is induced by reactive oxygen species (ROS), and O157:H7 infection increased
222 +ROS production. Transcriptional profiling (RNAseq) demonstrated that both
223 +commensal and O157:H7 upregulated genes associated with gastrointestinal
224 +maturation, while infection with O157:H7 upregulated inflammatory responses,
225 +including interleukin 8 (IL-8). IL-8 is associated with neutrophil recruitment,
226 +and infection with O157:H7 resulted in recruitment of human neutrophils into the
227 +iHIO tissue.
228 +
229 +DOI: 10.1371/journal.pone.0178966
230 +PMCID: PMC5470682
231 +PMID: 28614372 [Indexed for MEDLINE]
232 +
233 +
234 +6. BMC Genet. 2017 Mar 7;18(1):21. doi: 10.1186/s12863-017-0488-4.
235 +
236 +Deciphering alternative splicing and nonsense-mediated decay modulate expression
237 +in primary lymphoid tissues of birds infected with avian pathogenic E. coli
238 +(APEC).
239 +
240 +Sun H(1).
241 +
242 +Author information:
243 +(1)College of Animal Science and Technology, Yangzhou University, Yangzhou,
244 +Jiangsu, 225009, China. hongyans2392@163.com.
245 +
246 +BACKGROUND: Avian pathogenic E. coli (APEC) can lead to a loss in millions of
247 +dollars in poultry annually because of mortality and produce contamination.
248 +Studies have verified that many immune-related genes undergo changes in
249 +alternative splicing (AS), along with nonsense mediated decay (NMD), to regulate
250 +the immune system under different conditions. Therefore, the splicing profiles of
251 +primary lymphoid tissues with systemic APEC infection need to be comprehensively
252 +examined.
253 +RESULTS: Gene expression in RNAseq data were obtained for three different immune
254 +tissues (bone marrow, thymus, and bursa) from three phenotype birds
255 +(non-challenged, resistant, and susceptible birds) at two time points.
256 +Alternative 5' splice sites and exon skipping/inclusion were identified as the
257 +major alternative splicing events in avian primary immune organs under systemic
258 +APEC infection. In this study, we detected hundreds of
259 +differentially-expressed-transcript-containing genes (DETs) between different
260 +phenotype birds at 5 days post-infection (dpi). DETs, PSAP and STT3A, with NMD
261 +have important functions under systemic APEC infection. DETs, CDC45, CDK1, RAG2,
262 +POLR1B, PSAP, and DNASE1L3, from the same transcription start sites (TSS)
263 +indicate that cell death, cell cycle, cellular function, and maintenance were
264 +predominant in host under systemic APEC.
265 +CONCLUSIONS: With the use of RNAseq technology and bioinformatics tools, this
266 +study provides a portrait of the AS event and NMD in primary lymphoid tissues,
267 +which play critical roles in host homeostasis under systemic APEC infection.
268 +According to this study, AS plays a pivotal regulatory role in the immune
269 +response in chicken under systemic APEC infection via either NMD or alternative
270 +TSSs. This study elucidates the regulatory role of AS for the immune complex
271 +under systemic APEC infection.
272 +
273 +DOI: 10.1186/s12863-017-0488-4
274 +PMCID: PMC5341183
275 +PMID: 28270101 [Indexed for MEDLINE]
276 +
277 +
278 +7. BMC Genomics. 2017 Feb 28;18(1):216. doi: 10.1186/s12864-017-3586-9.
279 +
280 +Differentiation of ncRNAs from small mRNAs in Escherichia coli O157:H7 EDL933
281 +(EHEC) by combined RNAseq and RIBOseq - ryhB encodes the regulatory RNA RyhB and
282 +a peptide, RyhP.
283 +
284 +Neuhaus K(1)(2), Landstorfer R(3), Simon S(4), Schober S(5), Wright PR(6), Smith
285 +C(6), Backofen R(6), Wecko R(3), Keim DA(4), Scherer S(3).
286 +
287 +Author information:
288 +(1)Lehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan,
289 +Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising,
290 +Germany. neuhaus@tum.de.
291 +(2)Core Facility Microbiome/NGS, ZIEL Institute for Food & Health,
292 +Weihenstephaner Berg 3, D-85354, Freising, Germany. neuhaus@tum.de.
293 +(3)Lehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan,
294 +Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising,
295 +Germany.
296 +(4)Informatik und Informationswissenschaft, Universität Konstanz, D-78457,
297 +Konstanz, Germany.
298 +(5)Institut für Nachrichtentechnik, Universität Ulm, Albert-Einstein-Allee 43,
299 +D-89081, Ulm, Germany.
300 +(6)Bioinformatics Group, Department of Computer Science and BIOSS Centre for
301 +Biological Signaling Studies, Cluster of Excellence, University of Freiburg,
302 +D-79110, Freiburg, Germany.
303 +
304 +BACKGROUND: While NGS allows rapid global detection of transcripts, it remains
305 +difficult to distinguish ncRNAs from short mRNAs. To detect potentially
306 +translated RNAs, we developed an improved protocol for bacterial ribosomal
307 +footprinting (RIBOseq). This allowed distinguishing ncRNA from mRNA in EHEC. A
308 +high ratio of ribosomal footprints per transcript (ribosomal coverage value, RCV)
309 +is expected to indicate a translated RNA, while a low RCV should point to a
310 +non-translated RNA.
311 +RESULTS: Based on their low RCV, 150 novel non-translated EHEC transcripts were
312 +identified as putative ncRNAs, representing both antisense and intergenic
313 +transcripts, 74 of which had expressed homologs in E. coli MG1655. Bioinformatics
314 +analysis predicted statistically significant target regulons for 15 of the
315 +intergenic transcripts; experimental analysis revealed 4-fold or higher
316 +differential expression of 46 novel ncRNA in different growth media. Out of 329
317 +annotated EHEC ncRNAs, 52 showed an RCV similar to protein-coding genes, of
318 +those, 16 had RIBOseq patterns matching annotated genes in other
319 +enterobacteriaceae, and 11 seem to possess a Shine-Dalgarno sequence, suggesting
320 +that such ncRNAs may encode small proteins instead of being solely non-coding. To
321 +support that the RIBOseq signals are reflecting translation, we tested the
322 +ribosomal-footprint covered ORF of ryhB and found a phenotype for the encoded
323 +peptide in iron-limiting condition.
324 +CONCLUSION: Determination of the RCV is a useful approach for a rapid first-step
325 +differentiation between bacterial ncRNAs and small mRNAs. Further, many known
326 +ncRNAs may encode proteins as well.
327 +
328 +DOI: 10.1186/s12864-017-3586-9
329 +PMCID: PMC5331693
330 +PMID: 28245801 [Indexed for MEDLINE]
331 +
332 +
333 +8. ACS Appl Mater Interfaces. 2017 Mar 22;9(11):10047-10060. doi:
334 +10.1021/acsami.7b02380. Epub 2017 Mar 10.
335 +
336 +Transcriptome Analysis Reveals Silver Nanoparticle-Decorated Quercetin
337 +Antibacterial Molecular Mechanism.
338 +
339 +Sun D(1), Zhang W(1), Mou Z(1), Chen Y(1), Guo F(1), Yang E(1), Wang W(1).
340 +
341 +Author information:
342 +(1)School of Life Sciences, Anhui Agricultural University , Hefei 230036, China.
343 +
344 +Facile and simple method is developed to synthesize silver-nanoparticle-decorated
345 +quercetin nanoparticles (QA NPs). Modification suggests that synergistic
346 +quercetin (Qe) improves the antibacterial effect of silver nanoparticles (Ag
347 +NPs). Characterization experiment indicates that QA NPs have a diameter of
348 +approximately 10 nm. QA NPs show highly effective antibacterial activities
349 +against drug-resistant Escherichia coli (E. coli) and Staphylococcus aureus (S.
350 +aureus). We explore antibacterial mechanisms using S. aureus and E. coli treated
351 +with QA NPs. Through morphological changes in E. coli and S. aureus, mechanisms
352 +are examined for bacterial damage caused by particulate matter from local
353 +dissociation of silver ion and Qe from QA NPs trapped inside membranes. Moreover,
354 +we note that gene expression profiling methods, such as RNA sequencing, can be
355 +used to predict discover mechanisms of toxicity of QA NPs. Gene ontology (GO)
356 +assay analyses demonstrate the molecular mechanism of the antibacterial effect of
357 +QA NPs. Regarding cellular component ontology, "cell wall organization or
358 +biogenesis" (GO: 0071554) and "cell wall macromolecule metabolic process" (GO:
359 +0044036) are the most represented categories. The present study reports that
360 +transcriptome analysis of the mechanism offers novel insights into the molecular
361 +mechanism of antibacterial assays.
362 +
363 +DOI: 10.1021/acsami.7b02380
364 +PMID: 28240544
365 +
366 +
367 +9. Biotechnol Biofuels. 2017 Feb 3;10:32. doi: 10.1186/s13068-017-0720-5.
368 +eCollection 2017.
369 +
370 +Development of a genetically programed vanillin-sensing bacterium for
371 +high-throughput screening of lignin-degrading enzyme libraries.
372 +
373 +Sana B(1), Chia KHB(2), Raghavan SS(1), Ramalingam B(3), Nagarajan N(2), Seayad
374 +J(3), Ghadessy FJ(1).
375 +
376 +Author information:
377 +(1)p53 Laboratory, Agency for Science Technology And Research (ASTAR), 8A
378 +Biomedical Grove, #06-04/05 Neuros/Immunos, Singapore, 138648 Singapore.
379 +(2)Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore,
380 +138672 Singapore.
381 +(3)Institute of Chemical and Engineering Sciences, 8 Biomedical Grove, Neuros,
382 +#07-01, Singapore, 138665 Singapore.
383 +
384 +BACKGROUND: Lignin is a potential biorefinery feedstock for the production of
385 +value-added chemicals including vanillin. A huge amount of lignin is produced as
386 +a by-product of the paper industry, while cellulosic components of plant biomass
387 +are utilized for the production of paper pulp. In spite of vast potential, lignin
388 +remains the least exploited component of plant biomass due to its extremely
389 +complex and heterogenous structure. Several enzymes have been reported to have
390 +lignin-degrading properties and could be potentially used in lignin biorefining
391 +if their catalytic properties could be improved by enzyme engineering. The much
392 +needed improvement of lignin-degrading enzymes by high-throughput selection
393 +techniques such as directed evolution is currently limited, as robust methods for
394 +detecting the conversion of lignin to desired small molecules are not available.
395 +RESULTS: We identified a vanillin-inducible promoter by RNAseq analysis of
396 +Escherichia coli cells treated with a sublethal dose of vanillin and developed a
397 +genetically programmed vanillin-sensing cell by placing the 'very green
398 +fluorescent protein' gene under the control of this promoter. Fluorescence of the
399 +biosensing cell is enhanced significantly when grown in the presence of vanillin
400 +and is readily visualized by fluorescence microscopy. The use of
401 +fluorescence-activated cell sorting analysis further enhances the sensitivity,
402 +enabling dose-dependent detection of as low as 200 µM vanillin. The biosensor is
403 +highly specific to vanillin and no major response is elicited by the presence of
404 +lignin, lignin model compound, DMSO, vanillin analogues or non-specific toxic
405 +chemicals.
406 +CONCLUSIONS: We developed an engineered E. coli cell that can detect vanillin at
407 +a concentration as low as 200 µM. The vanillin-sensing cell did not show
408 +cross-reactivity towards lignin or major lignin degradation products including
409 +vanillin analogues. This engineered E. coli cell could potentially be used as a
410 +host cell for screening lignin-degrading enzymes that can convert lignin to
411 +vanillin.
412 +
413 +DOI: 10.1186/s13068-017-0720-5
414 +PMCID: PMC5291986
415 +PMID: 28174601
416 +
417 +
418 +10. PLoS Negl Trop Dis. 2017 Jan 6;11(1):e0005273. doi: 10.1371/journal.pntd.0005273.
419 +eCollection 2017 Jan.
420 +
421 +Transcriptome Sequencing Reveals Large-Scale Changes in Axenic Aedes aegypti
422 +Larvae.
423 +
424 +Vogel KJ(1), Valzania L(1), Coon KL(1), Brown MR(1), Strand MR(1).
425 +
426 +Author information:
427 +(1)Department of Entomology, The University of Georgia, Athens, Georgia, United
428 +States of America.
429 +
430 +Mosquitoes host communities of microbes in their digestive tract that consist
431 +primarily of bacteria. We previously reported that Aedes aegypti larvae colonized
432 +by a native community of bacteria and gnotobiotic larvae colonized by only
433 +Escherichia coli develop very similarly into adults, whereas axenic larvae never
434 +molt and die as first instars. In this study, we extended these findings by first
435 +comparing the growth and abundance of bacteria in conventional, gnotobiotic, and
436 +axenic larvae during the first instar. Results showed that conventional and
437 +gnotobiotic larvae exhibited no differences in growth, timing of molting, or
438 +number of bacteria in their digestive tract. Axenic larvae in contrast grew
439 +minimally and never achieved the critical size associated with molting by
440 +conventional and gnotobiotic larvae. In the second part of the study we compared
441 +patterns of gene expression in conventional, gnotobiotic and axenic larvae by
442 +conducting an RNAseq analysis of gut and nongut tissues (carcass) at 22 h
443 +post-hatching. Approximately 12% of Ae. aegypti transcripts were differentially
444 +expressed in axenic versus conventional or gnotobiotic larvae. However, this
445 +profile consisted primarily of transcripts in seven categories that included the
446 +down-regulation of select peptidases in the gut and up-regulation of several
447 +genes in the gut and carcass with roles in amino acid transport, hormonal
448 +signaling, and metabolism. Overall, our results indicate that axenic larvae
449 +exhibit alterations in gene expression consistent with defects in acquisition and
450 +assimilation of nutrients required for growth.
451 +
452 +DOI: 10.1371/journal.pntd.0005273
453 +PMCID: PMC5245907
454 +PMID: 28060822 [Indexed for MEDLINE]
455 +
456 +Conflict of interest statement: The authors have declared that no competing
457 +interests exist.
458 +
459 +
460 +11. Methods. 2017 Mar 15;117:28-34. doi: 10.1016/j.ymeth.2016.11.011. Epub 2016 Nov
461 +19.
462 +
463 +Identification of unknown RNA partners using MAPS.
464 +
465 +Lalaouna D(1), Prévost K(1), Eyraud A(1), Massé E(2).
466 +
467 +Author information:
468 +(1)Department of Biochemistry, RNA Group, Université de Sherbrooke, Sherbrooke,
469 +Québec J1E 4K8, Canada.
470 +(2)Department of Biochemistry, RNA Group, Université de Sherbrooke, Sherbrooke,
471 +Québec J1E 4K8, Canada. Electronic address: eric.masse@usherbrooke.ca.
472 +
473 +Recent advances in high-throughput sequencing have led to an explosion in the
474 +rate of small regulatory RNAs (sRNAs) discovery among bacteria. However, only a
475 +handful of them are functionally characterized. Most of the time, little to no
476 +targets are known. In Lalaouna et al. (2015), we proposed a new technology to
477 +uncover sRNAs targetome, which is based on the MS2-affinity purification (MAPS).
478 +We were able to prove its efficiency by applying it on well-characterized sRNAs
479 +of Escherichia coli. Thereafter, we adapted the procedure to other kind of RNA
480 +(mRNAs and tRNA-derived RNA fragments) and bacteria (pathogenic or Gram-positive
481 +strains). Here, we clearly report all improvements and adjustments made to MAPS
482 +technology since it was originally reported.
483 +
484 +Copyright © 2016 Elsevier Inc. All rights reserved.
485 +
486 +DOI: 10.1016/j.ymeth.2016.11.011
487 +PMID: 27876680 [Indexed for MEDLINE]
488 +
489 +
490 +12. FEMS Microbiol Lett. 2017 Jan;364(2). pii: fnw262. doi: 10.1093/femsle/fnw262.
491 +Epub 2016 Nov 16.
492 +
493 +Transcriptional and translational regulation by RNA thermometers, riboswitches
494 +and the sRNA DsrA in Escherichia coli O157:H7 Sakai under combined cold and
495 +osmotic stress adaptation.
496 +
497 +Hücker SM(1), Simon S(2), Scherer S(1), Neuhaus K(3).
498 +
499 +Author information:
500 +(1)Chair for Microbial Ecology, Technische Universität München, Weihenstephaner
501 +Berg 3, 85354 Freising, Germany.
502 +(2)Chair for Data Analysis and Visualization, Department of Computer and
503 +Information Science, University of Konstanz, Box 78, 78457 Konstanz, Germany.
504 +(3)Chair for Microbial Ecology, Technische Universität München, Weihenstephaner
505 +Berg 3, 85354 Freising, Germany neuhaus@wzw.tum.de.
506 +
507 +The enteric pathogen Escherichia coli O157:H7 Sakai (EHEC) is able to grow at
508 +lower temperatures compared to commensal E. coli Growth at environmental
509 +conditions displays complex challenges different to those in a host. EHEC was
510 +grown at 37°C and at 14°C with 4% NaCl, a combination of cold and osmotic stress
511 +as present in the food chain. Comparison of RNAseq and RIBOseq data provided a
512 +snap shot of ongoing transcription and translation, differentiating
513 +transcriptional and post-transcriptional gene regulation, respectively. Indeed,
514 +cold and osmotic stress related genes are simultaneously regulated at both
515 +levels, but translational regulation clearly dominates. Special emphasis was
516 +given to genes regulated by RNA secondary structures in their 5'UTRs, such as RNA
517 +thermometers and riboswitches, or genes controlled by small RNAs encoded in trans
518 +The results reveal large differences in gene expression between short-time shock
519 +compared to adaptation in combined cold and osmotic stress. Whereas the majority
520 +of cold shock proteins, such as CspA, are translationally downregulated after
521 +adaptation, many osmotic stress genes are still significantly upregulated mainly
522 +translationally, but several also transcriptionally.
523 +
524 +© FEMS 2016. All rights reserved. For permissions, please e-mail:
525 +journals.permissions@oup.com.
526 +
527 +DOI: 10.1093/femsle/fnw262
528 +PMID: 27856567 [Indexed for MEDLINE]
529 +
530 +
531 +13. Poult Sci. 2016 Dec 1;95(12):2803-2814. Epub 2016 Jul 27.
532 +
533 +Thymus transcriptome reveals novel pathways in response to avian pathogenic
534 +Escherichia coli infection.
535 +
536 +Sun H(1)(2), Liu P(3), Nolan LK(4), Lamont SJ(5).
537 +
538 +Author information:
539 +(1)College of Animal Science and Technology, Yangzhou University, Yangzhou,
540 +Jiangsu, China, 225009.
541 +(2)Department of Animal Science, Iowa State University, Ames 50011.
542 +(3)Department of Statistics, Iowa State University, Ames 50011.
543 +(4)Department of Veterinary Microbiology and Preventive Medicine, Iowa State
544 +University, Ames 50011.
545 +(5)Department of Animal Science, Iowa State University, Ames 50011
546 +sjlamont@iastate.edu.
547 +
548 +Avian pathogenic Escherichia coli (APEC) can cause significant morbidity in
549 +chickens. The thymus provides the essential environment for T cell development;
550 +however, the thymus transcriptome has not been examined for gene expression in
551 +response to APEC infection. An improved understanding of the host genomic
552 +response to APEC infection could inform future breeding programs for disease
553 +resistance and APEC control. We therefore analyzed the transcriptome of the
554 +thymus of birds challenged with APEC, contrasting susceptible and resistant
555 +phenotypes. Thousands of genes were differentially expressed in birds of the
556 +5-day post infection (dpi) challenged-susceptible group vs. 5 dpi non-challenged,
557 +in 5 dpi challenged-susceptible vs. 5 dpi challenged-resistant birds, as well as
558 +in 5 dpi vs. one dpi challenged-susceptible birds. The Toll-like receptor
559 +signaling pathway was the major innate immune response for birds to respond to
560 +APEC infection. Moreover, lysosome and cell adhesion molecules pathways were
561 +common mechanisms for chicken response to APEC infection. The T-cell receptor
562 +signaling pathway, cell cycle, and p53 signaling pathways were significantly
563 +activated in resistant birds to resist APEC infection. These results provide a
564 +comprehensive assessment of global gene networks and biological functionalities
565 +of differentially expressed genes in the thymus under APEC infection. These
566 +findings provide novel insights into key molecular genetic mechanisms that
567 +differentiate host resistance from susceptibility in this primary lymphoid
568 +tissue, the thymus.
569 +
570 +© The Author 2016. Published by Oxford University Press on behalf of Poultry
571 +Science Association.
572 +
573 +DOI: 10.3382/ps/pew202
574 +PMCID: PMC5144662
575 +PMID: 27466434 [Indexed for MEDLINE]
576 +
577 +
578 +14. Sci Rep. 2016 Jul 18;6:30025. doi: 10.1038/srep30025.
579 +
580 +Systematic analysis of an evolved Thermobifida fusca muC producing malic acid on
581 +organic and inorganic nitrogen sources.
582 +
583 +Deng Y(1)(2), Lin J(3), Mao Y(1)(2), Zhang X(4).
584 +
585 +Author information:
586 +(1)National Engineering Laboratory for Cereal Fermentation Technology (NELCF),
587 +Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
588 +(2)The Key Laboratory of Industrial Biotechnology, Ministry of Education,
589 +Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
590 +(3)College of Life Science, North China University of Science and Technology,
591 +Tangshan 063000, China.
592 +(4)School of pharmaceutical science, Jiangnan University, 1800 Lihu Road, Wuxi,
593 +Jiangsu 214122, China.
594 +
595 +Thermobifida fusca is a thermophilic actinobacterium. T. fusca muC obtained by
596 +adaptive evolution preferred yeast extract to ammonium sulfate for accumulating
597 +malic acid and ammonium sulfate for cell growth. We did transcriptome analysis of
598 +T. fusca muC on Avicel and cellobiose with addition of ammonium sulfate or yeast
599 +extract, respectively by RNAseq. The transcriptional results indicate that
600 +ammonium sulfate induced the transcriptions of the genes related to carbohydrate
601 +metabolisms significantly more than yeast extract. Importantly, Tfu_2487,
602 +encoding histidine-containing protein (HPr), didn't transcribe on yeast extract
603 +at all, while it transcribed highly on ammonium sulfate. In order to understand
604 +the impact of HPr on malate production and cell growth of the muC strain, we
605 +deleted Tfu_2487 to get a mutant strain: muCΔ2487, which had
606 +1.33 mole/mole-glucose equivalent malate yield, much higher than that on yeast
607 +extract. We then developed an E. coli-T. fusca shuttle plasmid for
608 +over-expressing HPr in muCΔ2487, a strain without HPr background, forming the
609 +muCΔ2487S strain. The muCΔ2487S strain had a much lower malate yield but faster
610 +cell growth than the muC strain. The results of both mutant strains confirmed
611 +that HPr was the key regulatory protein for T. fusca's metabolisms on nitrogen
612 +sources.
613 +
614 +DOI: 10.1038/srep30025
615 +PMCID: PMC4948018
616 +PMID: 27424527
617 +
618 +
619 +15. PLoS One. 2016 Jun 23;11(6):e0157480. doi: 10.1371/journal.pone.0157480.
620 +eCollection 2016.
621 +
622 +The Impact of Intramammary Escherichia coli Challenge on Liver and Mammary
623 +Transcriptome and Cross-Talk in Dairy Cows during Early Lactation Using RNAseq.
624 +
625 +Moyes KM(1), Sørensen P(2), Bionaz M(3).
626 +
627 +Author information:
628 +(1)Department of Animal and Avian Sciences, University of Maryland, College Park,
629 +Maryland, United States of America.
630 +(2)Center for Quantitative Genetics and Genomics, Department of Molecular Biology
631 +and Genetics, Aarhus University, 8830 Tjele, Denmark.
632 +(3)Department of Animal and Rangeland Sciences, Oregon State University,
633 +Corvallis, Oregon, United States of America.
634 +
635 +Our objective was to identify the biological response and the cross-talk between
636 +liver and mammary tissue after intramammary infection (IMI) with Escherichia coli
637 +(E. coli) using RNAseq technology. Sixteen cows were inoculated with live E. coli
638 +into one mammary quarter at ~4-6 weeks in lactation. For all cows, biopsies were
639 +performed at -144, 12 and 24 h relative to IMI in liver and at 24 h post-IMI in
640 +infected and non-infected (control) mammary quarters. For a subset of cows (n =
641 +6), RNA was extracted from both liver and mammary tissue and sequenced using a
642 +100 bp paired-end approach. Ingenuity Pathway Analysis and the Dynamic Impact
643 +Approach analysis of differentially expressed genes (overall effect False
644 +Discovery Rate≤0.05) indicated that IMI induced an overall activation of
645 +inflammation at 12 h post-IMI and a strong inhibition of metabolism, especially
646 +related to lipid, glucose, and xenobiotics at 24 h post-IMI in liver. The data
647 +indicated in mammary tissue an overall induction of inflammatory response with
648 +little effect on metabolism at 24 h post-IMI. We identified a large number of
649 +up-stream regulators potentially involved in the response to IMI in both tissues
650 +but a relatively small core network of transcription factors controlling the
651 +response to IMI for liver whereas a large network in mammary tissue.
652 +Transcriptomic results in liver and mammary tissue were supported by changes in
653 +inflammatory and metabolic mediators in blood and milk. The analysis of potential
654 +cross-talk between the two tissues during IMI uncovered a large communication
655 +from the mammary tissue to the liver to coordinate the inflammatory response but
656 +a relatively small communication from the liver to the mammary tissue. Our
657 +results indicate a strong induction of the inflammatory response in mammary
658 +tissue and impairment of liver metabolism 24h post-IMI partly driven by the
659 +signaling from infected mammary tissue.
660 +
661 +DOI: 10.1371/journal.pone.0157480
662 +PMCID: PMC4919052
663 +PMID: 27336699 [Indexed for MEDLINE]
664 +
665 +
666 +16. BMC Genomics. 2016 Feb 24;17:133. doi: 10.1186/s12864-016-2456-1.
667 +
668 +Translatomics combined with transcriptomics and proteomics reveals novel
669 +functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC).
670 +
671 +Neuhaus K(1), Landstorfer R(2), Fellner L(3), Simon S(4), Schafferhans A(5),
672 +Goldberg T(6), Marx H(7), Ozoline ON(8), Rost B(9), Kuster B(10)(11), Keim
673 +DA(12), Scherer S(13).
674 +
675 +Author information:
676 +(1)Lehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und
677 +Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität
678 +München, Weihenstephaner Berg 3, 85354, Freising, Germany. neuhaus@wzw.tum.de.
679 +(2)Lehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und
680 +Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität
681 +München, Weihenstephaner Berg 3, 85354, Freising, Germany. r.landstorfer@gmx.de.
682 +(3)Lehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und
683 +Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität
684 +München, Weihenstephaner Berg 3, 85354, Freising, Germany.
685 +fellnerlea@hotmail.com.
686 +(4)Lehrstuhl für Datenanalyse und Visualisierung, Fachbereich Informatik und
687 +Informationswissenschaft, Universität Konstanz, Box 78, 78457, Konstanz, Germany.
688 +simon@dbvis.inf.uni-konstanz.de.
689 +(5)Department of Informatics - Bioinformatics & TUM-IAS, Technische Universität
690 +München, Boltzmannstraße 3, 85748, Garching, Germany.
691 +andrea.schafferhans@rostlab.org.
692 +(6)Department of Informatics - Bioinformatics & TUM-IAS, Technische Universität
693 +München, Boltzmannstraße 3, 85748, Garching, Germany. goldberg@rostlab.org.
694 +(7)Chair of Proteomics and Bioanalytics, Wissenschaftszentrum Weihenstephan,
695 +Technische Universität München, Emil-Erlenmeyer-Forum 5, 85354, Freising,
696 +Germany. h4r4ld.marx@googlemail.com.
697 +(8)Institute of Cell Biophysics, Russian Academy of Sciences, Moscow Region,
698 +142290, Pushchino, Russia. ozoline@rambler.ru.
699 +(9)Department of Informatics - Bioinformatics & TUM-IAS, Technische Universität
700 +München, Boltzmannstraße 3, 85748, Garching, Germany. rost@rostlab.org.
701 +(10)Chair of Proteomics and Bioanalytics, Wissenschaftszentrum Weihenstephan,
702 +Technische Universität München, Emil-Erlenmeyer-Forum 5, 85354, Freising,
703 +Germany. kuster@wzw.tum.de.
704 +(11)Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS), Technische
705 +Universität München, Gregor-Mendel-Str. 4, 85354, Freising, Germany.
706 +kuster@wzw.tum.de.
707 +(12)Lehrstuhl für Datenanalyse und Visualisierung, Fachbereich Informatik und
708 +Informationswissenschaft, Universität Konstanz, Box 78, 78457, Konstanz, Germany.
709 +keim@informatik.uni-konstanz.de.
710 +(13)Lehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und
711 +Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität
712 +München, Weihenstephaner Berg 3, 85354, Freising, Germany.
713 +siegfried.scherer@wzw.tum.de.
714 +
715 +BACKGROUND: Genomes of E. coli, including that of the human pathogen Escherichia
716 +coli O157:H7 (EHEC) EDL933, still harbor undetected protein-coding genes which,
717 +apparently, have escaped annotation due to their small size and non-essential
718 +function. To find such genes, global gene expression of EHEC EDL933 was examined,
719 +using strand-specific RNAseq (transcriptome), ribosomal footprinting
720 +(translatome) and mass spectrometry (proteome).
721 +RESULTS: Using the above methods, 72 short, non-annotated protein-coding genes
722 +were detected. All of these showed signals in the ribosomal footprinting assay
723 +indicating mRNA translation. Seven were verified by mass spectrometry.
724 +Fifty-seven genes are annotated in other enterobacteriaceae, mainly as
725 +hypothetical genes; the remaining 15 genes constitute novel discoveries. In
726 +addition, protein structure and function were predicted computationally and
727 +compared between EHEC-encoded proteins and 100-times randomly shuffled proteins.
728 +Based on this comparison, 61 of the 72 novel proteins exhibit predicted
729 +structural and functional features similar to those of annotated proteins. Many
730 +of the novel genes show differential transcription when grown under eleven
731 +diverse growth conditions suggesting environmental regulation. Three genes were
732 +found to confer a phenotype in previous studies, e.g., decreased cattle
733 +colonization.
734 +CONCLUSIONS: These findings demonstrate that ribosomal footprinting can be used
735 +to detect novel protein coding genes, contributing to the growing body of
736 +evidence that hypothetical genes are not annotation artifacts and opening an
737 +additional way to study their functionality. All 72 genes are taxonomically
738 +restricted and, therefore, appear to have evolved relatively recently de novo.
739 +
740 +DOI: 10.1186/s12864-016-2456-1
741 +PMCID: PMC4765031
742 +PMID: 26911138 [Indexed for MEDLINE]
743 +
744 +
745 +17. Sci Rep. 2016 Jan 28;6:19899. doi: 10.1038/srep19899.
746 +
747 +Global transcriptomic responses of Escherichia coli K-12 to volatile organic
748 +compounds.
749 +
750 +Yung PY(1), Grasso LL(1), Mohidin AF(1), Acerbi E(1), Hinks J(1), Seviour T(1),
751 +Marsili E(1)(2)(3), Lauro FM(1)(4).
752 +
753 +Author information:
754 +(1)Singapore Centre for Environmental Life Sciences Engineering (SCELSE). 60
755 +Nanyang Drive, SBS-01N-27, Singapore 637551.
756 +(2)School of Chemical and Biomedical Engineering, Nanyang Technological
757 +University, 62 Nanyang Drive, Singapore 637459.
758 +(3)School of Biotechnology, Dublin City University, Collins Avenue, Dublin 9,
759 +Ireland.
760 +(4)Asian School of the Environment, Nanyang Technological University, 50 Nanyang
761 +Avenue, N2-01C-45, Singapore 639798.
762 +
763 +Volatile organic compounds (VOCs) are commonly used as solvents in various
764 +industrial settings. Many of them present a challenge to receiving environments,
765 +due to their toxicity and low bioavailability for degradation. Microorganisms are
766 +capable of sensing and responding to their surroundings and this makes them ideal
767 +detectors for toxic compounds. This study investigates the global transcriptomic
768 +responses of Escherichia coli K-12 to selected VOCs at sub-toxic levels. Cells
769 +grown in the presence of VOCs were harvested during exponential growth, followed
770 +by whole transcriptome shotgun sequencing (RNAseq). The analysis of the data
771 +revealed both shared and unique genetic responses compared to cells without
772 +exposure to VOCs. Results suggest that various functional gene categories, for
773 +example, those relating to Fe/S cluster biogenesis, oxidative stress responses
774 +and transport proteins, are responsive to selected VOCs in E. coli. The
775 +differential expression (DE) of genes was validated using GFP-promoter fusion
776 +assays. A variety of genes were differentially expressed even at non-inhibitory
777 +concentrations and when the cells are at their balanced-growth. Some of these
778 +genes belong to generic stress response and others could be specific to VOCs.
779 +Such candidate genes and their regulatory elements could be used as the basis for
780 +designing biosensors for selected VOCs.
781 +
782 +DOI: 10.1038/srep19899
783 +PMCID: PMC4730218
784 +PMID: 26818886 [Indexed for MEDLINE]
785 +
786 +
787 +18. MBio. 2015 Aug 25;6(4). pii: e00998-15. doi: 10.1128/mBio.00998-15.
788 +
789 +A New Noncoding RNA Arranges Bacterial Chromosome Organization.
790 +
791 +Qian Z(1), Macvanin M(1), Dimitriadis EK(2), He X(3), Zhurkin V(4), Adhya S(5).
792 +
793 +Author information:
794 +(1)Laboratory of Molecular Biology, National Cancer Institute, National
795 +Institutes of Health, Bethesda, Maryland, USA.
796 +(2)Biomedical Engineering and Physical Science, National Institute of Biomedical
797 +Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland,
798 +USA.
799 +(3)Laboratory of Metabolism, National Cancer Institute, National Institutes of
800 +Health, Bethesda, Maryland, USA.
801 +(4)Laboratory of Cell Biology, National Cancer Institute, National Institutes of
802 +Health, Bethesda, Maryland, USA.
803 +(5)Laboratory of Molecular Biology, National Cancer Institute, National
804 +Institutes of Health, Bethesda, Maryland, USA sadhya@helix.nih.gov.
805 +
806 +Repeated extragenic palindromes (REPs) in the enterobacterial genomes are usually
807 +composed of individual palindromic units separated by linker sequences. A total
808 +of 355 annotated REPs are distributed along the Escherichia coli genome. RNA
809 +sequence (RNAseq) analysis showed that almost 80% of the REPs in E. coli are
810 +transcribed. The DNA sequence of REP325 showed that it is a cluster of six
811 +repeats, each with two palindromic units capable of forming cruciform structures
812 +in supercoiled DNA. Here, we report that components of the REP325 element and at
813 +least one of its RNA products play a role in bacterial nucleoid DNA condensation.
814 +These RNA not only are present in the purified nucleoid but bind to the bacterial
815 +nucleoid-associated HU protein as revealed by RNA IP followed by microarray
816 +analysis (RIP-Chip) assays. Deletion of REP325 resulted in a dramatic increase of
817 +the nucleoid size as observed using transmission electron microscopy (TEM), and
818 +expression of one of the REP325 RNAs, nucleoid-associated noncoding RNA 4
819 +(naRNA4), from a plasmid restored the wild-type condensed structure.
820 +Independently, chromosome conformation capture (3C) analysis demonstrated
821 +physical connections among various REP elements around the chromosome. These
822 +connections are dependent in some way upon the presence of HU and the REP325
823 +element; deletion of HU genes and/or the REP325 element removed the connections.
824 +Finally, naRNA4 together with HU condensed DNA in vitro by connecting REP325 or
825 +other DNA sequences that contain cruciform structures in a pairwise manner as
826 +observed by atomic force microscopy (AFM). On the basis of our results, we
827 +propose molecular models to explain connections of remote cruciform structures
828 +mediated by HU and naRNA4.IMPORTANCE: Nucleoid organization in bacteria is being
829 +studied extensively, and several models have been proposed. However, the
830 +molecular nature of the structural organization is not well understood. Here we
831 +characterized the role of a novel nucleoid-associated noncoding RNA, naRNA4, in
832 +nucleoid structures both in vivo and in vitro. We propose models to explain how
833 +naRNA4 together with nucleoid-associated protein HU connects remote DNA elements
834 +for nucleoid condensation. We present the first evidence of a noncoding RNA
835 +together with a nucleoid-associated protein directly condensing nucleoid DNA.
836 +
837 +Copyright © 2015 Qian et al.
838 +
839 +DOI: 10.1128/mBio.00998-15
840 +PMCID: PMC4550694
841 +PMID: 26307168 [Indexed for MEDLINE]
842 +
843 +
844 +19. PLoS One. 2015 Jun 30;10(6):e0130902. doi: 10.1371/journal.pone.0130902.
845 +eCollection 2015.
846 +
847 +Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by
848 +Genomic/Transcriptomic Analysis.
849 +
850 +Zhang Y(1), Rowehl L(2), Krumsiek JM(3), Orner EP(2), Shaikh N(4), Tarr PI(5),
851 +Sodergren E(6), Weinstock GM(6), Boedeker EC(7), Xiong X(8), Parkinson J(9),
852 +Frank DN(10), Li E(2), Gathungu G(3).
853 +
854 +Author information:
855 +(1)Department of Applied Mathematics and Statistics, Stony Brook University,
856 +Stony Brook, New York, United States of America.
857 +(2)Department of Medicine, Stony Brook University, Stony Brook, New York, United
858 +States of America.
859 +(3)Department of Pediatrics, Stony Brook University, Stony Brook, New York,
860 +United States of America.
861 +(4)Department of Pediatrics, Washington University St. Louis, St. Louis,
862 +Missouri, United States of America.
863 +(5)Department of Pediatrics, Washington University St. Louis, St. Louis,
864 +Missouri, United States of America; Department of Molecular Microbiology,
865 +Washington University St. Louis, St. Louis, Missouri, United States of America.
866 +(6)The Genome Institute, Washington University St. Louis, St. Louis, Missouri,
867 +United States of America.
868 +(7)Department of Medicine, University of New Mexico, Albuquerque, New Mexico,
869 +United States of America.
870 +(8)Program in Molecular Structure and Function, The Hospital for Sick Children,
871 +Toronto, Canada.
872 +(9)Department of Biochemistry & Molecular and Medical Genetics, University of
873 +Toronto, Toronto, Canada.
874 +(10)Department of Medicine, University of Colorado, Denver, Colorado, United
875 +States of America.
876 +
877 +Erratum in
878 + PLoS One. 2015;10(7):e0134759.
879 +
880 +Adherent-invasive Escherichia coli (AIEC) strains are detected more frequently
881 +within mucosal lesions of patients with Crohn's disease (CD). The AIEC phenotype
882 +consists of adherence and invasion of intestinal epithelial cells and survival
883 +within macrophages of these bacteria in vitro. Our aim was to identify candidate
884 +transcripts that distinguish AIEC from non-invasive E. coli (NIEC) strains and
885 +might be useful for rapid and accurate identification of AIEC by
886 +culture-independent technology. We performed comparative RNA-Sequence (RNASeq)
887 +analysis using AIEC strain LF82 and NIEC strain HS during exponential and
888 +stationary growth. Differential expression analysis of coding sequences (CDS)
889 +homologous to both strains demonstrated 224 and 241 genes with increased and
890 +decreased expression, respectively, in LF82 relative to HS. Transition metal
891 +transport and siderophore metabolism related pathway genes were up-regulated,
892 +while glycogen metabolic and oxidation-reduction related pathway genes were
893 +down-regulated, in LF82. Chemotaxis related transcripts were up-regulated in LF82
894 +during the exponential phase, but flagellum-dependent motility pathway genes were
895 +down-regulated in LF82 during the stationary phase. CDS that mapped only to the
896 +LF82 genome accounted for 747 genes. We applied an in silico subtractive genomics
897 +approach to identify CDS specific to AIEC by incorporating the genomes of 10
898 +other previously phenotyped NIEC. From this analysis, 166 CDS mapped to the LF82
899 +genome and lacked homology to any of the 11 human NIEC strains. We compared these
900 +CDS across 13 AIEC, but none were homologous in each. Four LF82 gene loci
901 +belonging to clustered regularly interspaced short palindromic repeats region
902 +(CRISPR)--CRISPR-associated (Cas) genes were identified in 4 to 6 AIEC and absent
903 +from all non-pathogenic bacteria. As previously reported, AIEC strains were
904 +enriched for pdu operon genes. One CDS, encoding an excisionase, was shared by 9
905 +AIEC strains. Reverse transcription quantitative polymerase chain reaction assays
906 +for 6 genes were conducted on fecal and ileal RNA samples from 22 inflammatory
907 +bowel disease (IBD), and 32 patients without IBD (non-IBD). The expression of Cas
908 +loci was detected in a higher proportion of CD than non-IBD fecal and ileal RNA
909 +samples (p <0.05). These results support a comparative genomic/transcriptomic
910 +approach towards identifying candidate AIEC signature transcripts.
911 +
912 +DOI: 10.1371/journal.pone.0130902
913 +PMCID: PMC4509574
914 +PMID: 26125937 [Indexed for MEDLINE]
915 +
916 +
917 +20. Front Microbiol. 2014 Aug 13;5:402. doi: 10.3389/fmicb.2014.00402. eCollection
918 +2014.
919 +
920 +Aromatic inhibitors derived from ammonia-pretreated lignocellulose hinder
921 +bacterial ethanologenesis by activating regulatory circuits controlling inhibitor
922 +efflux and detoxification.
923 +
924 +Keating DH(1), Zhang Y(1), Ong IM(1), McIlwain S(1), Morales EH(2), Grass JA(3),
925 +Tremaine M(1), Bothfeld W(1), Higbee A(1), Ulbrich A(4), Balloon AJ(4), Westphall
926 +MS(5), Aldrich J(6), Lipton MS(6), Kim J(7), Moskvin OV(1), Bukhman YV(1), Coon
927 +JJ(8), Kiley PJ(2), Bates DM(1), Landick R(9).
928 +
929 +Author information:
930 +(1)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
931 +Madison, WI, USA.
932 +(2)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
933 +Madison, WI, USA ; Department of Biomolecular Chemistry, University of
934 +Wisconsin-Madison Madison, WI, USA.
935 +(3)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
936 +Madison, WI, USA ; Department of Biochemistry, University of Wisconsin-Madison
937 +Madison, WI, USA.
938 +(4)Department of Chemistry, University of Wisconsin-Madison Madison, WI, USA.
939 +(5)Department of Biomolecular Chemistry, University of Wisconsin-Madison Madison,
940 +WI, USA ; Department of Chemistry, University of Wisconsin-Madison Madison, WI,
941 +USA.
942 +(6)Pacific Northwest National Laboratory Richland, WA, USA.
943 +(7)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
944 +Madison, WI, USA ; Department of Chemical and Biological Engineering, University
945 +of Wisconsin-Madison Madison, WI, USA.
946 +(8)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
947 +Madison, WI, USA ; Department of Biomolecular Chemistry, University of
948 +Wisconsin-Madison Madison, WI, USA ; Department of Chemistry, University of
949 +Wisconsin-Madison Madison, WI, USA.
950 +(9)Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
951 +Madison, WI, USA ; Department of Biochemistry, University of Wisconsin-Madison
952 +Madison, WI, USA ; Department of Bacteriology, University of Wisconsin-Madison
953 +Madison, WI, USA.
954 +
955 +Efficient microbial conversion of lignocellulosic hydrolysates to biofuels is a
956 +key barrier to the economically viable deployment of lignocellulosic biofuels. A
957 +chief contributor to this barrier is the impact on microbial processes and energy
958 +metabolism of lignocellulose-derived inhibitors, including phenolic carboxylates,
959 +phenolic amides (for ammonia-pretreated biomass), phenolic aldehydes, and
960 +furfurals. To understand the bacterial pathways induced by inhibitors present in
961 +ammonia-pretreated biomass hydrolysates, which are less well studied than
962 +acid-pretreated biomass hydrolysates, we developed and exploited synthetic mimics
963 +of ammonia-pretreated corn stover hydrolysate (ACSH). To determine regulatory
964 +responses to the inhibitors normally present in ACSH, we measured transcript and
965 +protein levels in an Escherichia coli ethanologen using RNA-seq and quantitative
966 +proteomics during fermentation to ethanol of synthetic hydrolysates containing or
967 +lacking the inhibitors. Our study identified four major regulators mediating
968 +these responses, the MarA/SoxS/Rob network, AaeR, FrmR, and YqhC. Induction of
969 +these regulons was correlated with a reduced rate of ethanol production, buildup
970 +of pyruvate, depletion of ATP and NAD(P)H, and an inhibition of xylose
971 +conversion. The aromatic aldehyde inhibitor 5-hydroxymethylfurfural appeared to
972 +be reduced to its alcohol form by the ethanologen during fermentation, whereas
973 +phenolic acid and amide inhibitors were not metabolized. Together, our findings
974 +establish that the major regulatory responses to lignocellulose-derived
975 +inhibitors are mediated by transcriptional rather than translational regulators,
976 +suggest that energy consumed for inhibitor efflux and detoxification may limit
977 +biofuel production, and identify a network of regulators for future synthetic
978 +biology efforts.
979 +
980 +DOI: 10.3389/fmicb.2014.00402
981 +PMCID: PMC4132294
982 +PMID: 25177315
983 +
984 +
985 +21. BMC Microbiol. 2014 Aug 1;14:206. doi: 10.1186/s12866-014-0206-6.
986 +
987 +Characterization and analysis of the Burkholderia pseudomallei BsaN virulence
988 +regulon.
989 +
990 +Chen Y, Schröder I, French CT, Jaroszewicz A, Yee XJ, Teh BE, Toesca IJ, Miller
991 +JF, Gan YH(1).
992 +
993 +Author information:
994 +(1)Department of Biochemistry, Yong Loo Lin School of Medicine, National
995 +University of Singapore, Singapore 117597, Singapore. yunn_hwen_gan@nuhs.edu.sg.
996 +
997 +BACKGROUND: Burkholderia pseudomallei is a facultative intracellular pathogen and
998 +the causative agent of melioidosis. A conserved type III secretion system (T3SS3)
999 +and type VI secretion system (T6SS1) are critical for intracellular survival and
1000 +growth. The T3SS3 and T6SS1 genes are coordinately and hierarchically regulated
1001 +by a TetR-type regulator, BspR. A central transcriptional regulator of the BspR
1002 +regulatory cascade, BsaN, activates a subset of T3SS3 and T6SS1 loci.
1003 +RESULTS: To elucidate the scope of the BsaN regulon, we used RNAseq analysis to
1004 +compare the transcriptomes of wild-type B. pseudomallei KHW and a bsaN deletion
1005 +mutant. The 60 genes positively-regulated by BsaN include those that we had
1006 +previously identified in addition to a polyketide biosynthesis locus and genes
1007 +involved in amino acid biosynthesis. BsaN was also found to repress the
1008 +transcription of 51 genes including flagellar motility loci and those encoding
1009 +components of the T3SS3 apparatus. Using a promoter-lacZ fusion assay in E. coli,
1010 +we show that BsaN together with the chaperone BicA directly control the
1011 +expression of the T3SS3 translocon, effector and associated regulatory genes that
1012 +are organized into at least five operons (BPSS1516-BPSS1552). Using a mutagenesis
1013 +approach, a consensus regulatory motif in the promoter regions of BsaN-regulated
1014 +genes was shown to be essential for transcriptional activation.
1015 +CONCLUSIONS: BsaN/BicA functions as a central regulator of key virulence clusters
1016 +in B. pseudomallei within a more extensive network of genetic regulation. We
1017 +propose that BsaN/BicA controls a gene expression program that facilitates the
1018 +adaption and intracellular survival of the pathogen within eukaryotic hosts.
1019 +
1020 +DOI: 10.1186/s12866-014-0206-6
1021 +PMCID: PMC4236580
1022 +PMID: 25085508 [Indexed for MEDLINE]
1023 +
1024 +
1025 +22. Proc Natl Acad Sci U S A. 2014 Jun 24;111(25):E2576-85. doi:
1026 +10.1073/pnas.1401853111. Epub 2014 Jun 9.
1027 +
1028 +Correcting direct effects of ethanol on translation and transcription machinery
1029 +confers ethanol tolerance in bacteria.
1030 +
1031 +Haft RJ(1), Keating DH(1), Schwaegler T(1), Schwalbach MS(1), Vinokur J(1),
1032 +Tremaine M(1), Peters JM(2), Kotlajich MV(3), Pohlmann EL(1), Ong IM(1), Grass
1033 +JA(1), Kiley PJ(4), Landick R(5).
1034 +
1035 +Author information:
1036 +(1)Great Lakes Bioenergy Research Center and.
1037 +(2)Departments of Biochemistry,Genetics.
1038 +(3)Departments of Biochemistry.
1039 +(4)Great Lakes Bioenergy Research Center andBiomolecular Chemistry, and.
1040 +(5)Great Lakes Bioenergy Research Center andDepartments of
1041 +Biochemistry,Bacteriology, University of Wisconsin-Madison, Madison, WI 53706
1042 +landick@biochem.wisc.edu.
1043 +
1044 +The molecular mechanisms of ethanol toxicity and tolerance in bacteria, although
1045 +important for biotechnology and bioenergy applications, remain incompletely
1046 +understood. Genetic studies have identified potential cellular targets for
1047 +ethanol and have revealed multiple mechanisms of tolerance, but it remains
1048 +difficult to separate the direct and indirect effects of ethanol. We used
1049 +adaptive evolution to generate spontaneous ethanol-tolerant strains of
1050 +Escherichia coli, and then characterized mechanisms of toxicity and resistance
1051 +using genome-scale DNAseq, RNAseq, and ribosome profiling coupled with specific
1052 +assays of ribosome and RNA polymerase function. Evolved alleles of metJ, rho, and
1053 +rpsQ recapitulated most of the observed ethanol tolerance, implicating
1054 +translation and transcription as key processes affected by ethanol. Ethanol
1055 +induced miscoding errors during protein synthesis, from which the evolved rpsQ
1056 +allele protected cells by increasing ribosome accuracy. Ribosome profiling and
1057 +RNAseq analyses established that ethanol negatively affects transcriptional and
1058 +translational processivity. Ethanol-stressed cells exhibited ribosomal stalling
1059 +at internal AUG codons, which may be ameliorated by the adaptive inactivation of
1060 +the MetJ repressor of methionine biosynthesis genes. Ethanol also caused aberrant
1061 +intragenic transcription termination for mRNAs with low ribosome density, which
1062 +was reduced in a strain with the adaptive rho mutation. Furthermore, ethanol
1063 +inhibited transcript elongation by RNA polymerase in vitro. We propose that
1064 +ethanol-induced inhibition and uncoupling of mRNA and protein synthesis through
1065 +direct effects on ribosomes and RNA polymerase conformations are major
1066 +contributors to ethanol toxicity in E. coli, and that adaptive mutations in metJ,
1067 +rho, and rpsQ help protect these central dogma processes in the presence of
1068 +ethanol.
1069 +
1070 +DOI: 10.1073/pnas.1401853111
1071 +PMCID: PMC4078849
1072 +PMID: 24927582 [Indexed for MEDLINE]
1073 +
1074 +
1075 +23. Nucleic Acids Res. 2013 Jan;41(Database issue):D1-7. doi: 10.1093/nar/gks1297.
1076 +Epub 2012 Nov 30.
1077 +
1078 +The 2013 Nucleic Acids Research Database Issue and the online molecular biology
1079 +database collection.
1080 +
1081 +Fernández-Suárez XM(1), Galperin MY.
1082 +
1083 +Author information:
1084 +(1)nardatabase@gmail.com
1085 +
1086 +The 20th annual Database Issue of Nucleic Acids Research includes 176 articles,
1087 +half of which describe new online molecular biology databases and the other half
1088 +provide updates on the databases previously featured in NAR and other journals.
1089 +This year's highlights include two databases of DNA repeat elements; several
1090 +databases of transcriptional factors and transcriptional factor-binding sites;
1091 +databases on various aspects of protein structure and protein-protein
1092 +interactions; databases for metagenomic and rRNA sequence analysis; and four
1093 +databases specifically dedicated to Escherichia coli. The increased emphasis on
1094 +using the genome data to improve human health is reflected in the development of
1095 +the databases of genomic structural variation (NCBI's dbVar and EBI's DGVa), the
1096 +NIH Genetic Testing Registry and several other databases centered on the genetic
1097 +basis of human disease, potential drugs, their targets and the mechanisms of
1098 +protein-ligand binding. Two new databases present genomic and RNAseq data for
1099 +monkeys, providing wealth of data on our closest relatives for comparative
1100 +genomics purposes. The NAR online Molecular Biology Database Collection,
1101 +available at http://www.oxfordjournals.org/nar/database/a/, has been updated and
1102 +currently lists 1512 online databases. The full content of the Database Issue is
1103 +freely available online on the Nucleic Acids Research website
1104 +(http://nar.oxfordjournals.org/).
1105 +
1106 +DOI: 10.1093/nar/gks1297
1107 +PMCID: PMC3531151
1108 +PMID: 23203983 [Indexed for MEDLINE]
1109 +
1110 +
1111 +24. Nucleic Acids Res. 2012 Nov 1;40(20):e156. doi: 10.1093/nar/gks680. Epub 2012 Jul
1112 +19.
1113 +
1114 +RNAsnap™: a rapid, quantitative and inexpensive, method for isolating total RNA
1115 +from bacteria.
1116 +
1117 +Stead MB(1), Agrawal A, Bowden KE, Nasir R, Mohanty BK, Meagher RB, Kushner SR.
1118 +
1119 +Author information:
1120 +(1)Department of Genetics, University of Georgia, Athens, GA 30602, USA.
1121 +
1122 +RNAsnap™ is a simple and novel method that recovers all intracellular RNA
1123 +quantitatively (>99%), faster (<15 min) and less expensively (∼3 cents/sample)
1124 +than any of the currently available RNA isolation methods. In fact, none of the
1125 +bacterial RNA isolation methods, including the commercial kits, are effective in
1126 +recovering all species of intracellular RNAs (76-5700 nt) with equal efficiency,
1127 +which can lead to biased results in genome-wide studies involving microarray or
1128 +RNAseq analysis. The RNAsnap™ procedure yields ∼60 µg of RNA from 10(8)
1129 +Escherichia coli cells that can be used directly for northern analysis without
1130 +any further purification. Based on a comparative analysis of specific transcripts
1131 +ranging in size from 76 to 5700 nt, the RNAsnap™ method provided the most
1132 +accurate measure of the relative amounts of the various intracellular RNAs.
1133 +Furthermore, the RNAsnap™ RNA was successfully used in enzymatic reactions such
1134 +as RNA ligation, reverse transcription, primer extension and reverse
1135 +transcriptase-polymerase chain reaction, following sodium acetate/ethanol
1136 +precipitation. The RNAsnap™ method can be used to isolate RNA from a wide range
1137 +of Gram-negative and Gram-positive bacteria as well as yeast.
1138 +
1139 +DOI: 10.1093/nar/gks680
1140 +PMCID: PMC3488207
1141 +PMID: 22821568 [Indexed for MEDLINE]
1142 +
1143 +
1144 +25. Nucleic Acids Res. 2012 Sep;40(16):7870-84. doi: 10.1093/nar/gks503. Epub 2012
1145 +Jun 11.
1146 +
1147 +Altered tRNA characteristics and 3' maturation in bacterial symbionts with
1148 +reduced genomes.
1149 +
1150 +Hansen AK(1), Moran NA.
1151 +
1152 +Author information:
1153 +(1)Department of Ecology and Evolutionary Biology, West Campus, Yale University,
1154 +PO Box 27388 West Haven, CT 06516-7388, USA. allison.hansen@yale.edu
1155 +
1156 +Translational efficiency is controlled by tRNAs and other genome-encoded
1157 +mechanisms. In organelles, translational processes are dramatically altered
1158 +because of genome shrinkage and horizontal acquisition of gene products. The
1159 +influence of genome reduction on translation in endosymbionts is largely unknown.
1160 +Here, we investigate whether divergent lineages of Buchnera aphidicola, the
1161 +reduced-genome bacterial endosymbiont of aphids, possess altered translational
1162 +features compared with their free-living relative, Escherichia coli. Our RNAseq
1163 +data support the hypothesis that translation is less optimal in Buchnera than in
1164 +E. coli. We observed a specific, convergent, pattern of tRNA loss in Buchnera and
1165 +other endosymbionts that have undergone genome shrinkage. Furthermore, many
1166 +modified nucleoside pathways that are important for E. coli translation are lost
1167 +in Buchnera. Additionally, Buchnera's A + T compositional bias has resulted in
1168 +reduced tRNA thermostability, and may have altered aminoacyl-tRNA synthetase
1169 +recognition sites. Buchnera tRNA genes are shorter than those of E. coli, as the
1170 +majority no longer has a genome-encoded 3' CCA; however, all the expressed,
1171 +shortened tRNAs undergo 3' CCA maturation. Moreover, expression of tRNA
1172 +isoacceptors was not correlated with the usage of corresponding codons. Overall,
1173 +our data suggest that endosymbiont genome evolution alters tRNA characteristics
1174 +that are known to influence translational efficiency in their free-living
1175 +relative.
1176 +
1177 +DOI: 10.1093/nar/gks503
1178 +PMCID: PMC3439896
1179 +PMID: 22689638 [Indexed for MEDLINE]
1180 +