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    Attenuation Regulation as a Term Rewriting System

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    The classical attenuation regulation of gene expression in bacteria is considered. We propose to represent the secondary RNA structure in the leader region of a gene or an operon by a term, and we give a probabilistic term rewriting system modeling the whole process of such a regulation.Comment: to appea

    Ribosome reinitiation at leader peptides increases translation of bacterial proteins

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    Part 1. RNA secondary structures of 5'-untranslated regions of proteins with the PF00270 and PF00271 domains in Corynebacterium diphtheria, C. glutamicum, and Bifidobacterium animalis. Figure S1.1. RNA duplex in the region from the stop codon of the leader gene to the start codon of the structural gene encoding helicase in C. diphtheria; Figure S1.2. RNA hairpin overlapping the Shine-Dalgarno sequence in the helicase in C. glutamicum; Figure S1.3. RNA hairpin overlapping two nucleotides of the helicase start codon in B. animalis and Streptomyces griseus. Part 2. Frequency of the leader-structural gene pairs as a function of the leader gene stop codon in Spirochaetales, Acidobacteria, Deinococcus-Thermus group, and Planctomycetes. Figure S2.1. Acidobacteria; Figure S2.2. Deinococcusรขย€ย“Thermus group; Figure S2.3. Planctomycetes; Figure S2.4. Spirochaetales; Figure S2.5. Actinobacteria. Part 3. Sequence logo of the 30-nt 5'-leader regions of all structural genes in Actinobacteria. (PDF 365 kb

    ๋ฐฉ์„ ๊ท  Streptomyces coelicolor์—์„œ ์ „์‚ฌ์ธ์ž WblC๋ฅผ ํ†ตํ•œ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ์˜ ์œ ๋„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ƒ๋ช…๊ณผํ•™๋ถ€, 2020. 8. ์„์˜์žฌ.Many antibiotics target bacterial translation, a fundamental metabolic process of protein synthesis. Translation-inhibitory antibiotics interfere with ribosome and other translational apparatus by diverse mode of action. Bacteria exhibit intrinsic resistance to antibiotics by utilizing indigenous genetic factors. Many types of intrinsic resistance mechanisms are known, but it has been observed that there are many undiscovered mechanisms as well. Actinomycetes of the gram-positive phylum Actinobacteria include environmental microbes, animal and plant symbionts, and pathogens. Actinomycetes include Streptomyces, which not only produce most of the commercial antibiotics but retains many antibiotic resistance mechanisms, and Mycobacterium, which includes major pathogens causing antibiotic resistance problems such as M. tuberculosis. WblC or WhiB7 of actinomycetes is a factor conferring intrinsic resistance to translation-inhibitory antibiotics. WblC (WhiB7), along with HrdB (SigA) is known to bind to target gene promoters and activate transcription. WblC (WhiB7) target gene products execute multiple antibiotic resistance mechanisms. However, the composition of WblC (WhiB7) regulon varies greatly among species as well as encompasses many genes of unknown functions. Moreover, there were several problems in the mode of defining WhiB7 regulon. On the other hand, while wblC (whiB7) is thought to be regulated by ribosome-mediated transcriptional attenuation, experimental evidences were insufficient and, most of all, no explanations were suggested regarding how the transcriptional attenuation is suppressed during antibiotic stress. The regulatory targets of WblC in Streptomyces coelicolor were examined in this study. 7.8% of all S. coelicolor genes exhibited WblC-dependent changes in transcript level during antibiotic stress, and 312 of these genes were confirmed as WblC regulon with observed direct binding of WblC to the promoters. As in mycobacteria, promoters of 288 WblC-upregulated regulon genes had 2 promoter sequence elements and a WblC-binding site in common, and showed WblC binding and transcriptional activation correlated to the degree of conservation of these common sequences. On the contrary, promoters of 24 WblC-downregulated regulon genes had no consensus sequence and exhibited no recruitment of HrdB by WblC. Meanwhile, WblC also regulated expression of many noncoding RNAs other than the regulon genes. Many of the WblC regulon products were identified to associate with ribosome and function as novel antibiotic resistance factors. S. coelicolor WblC regulon consists of multiple known antibiotic resistance genes and several overrepresented functional groups of genes, especially those involved in translation. WblC caused increase in global intracellular translation rate and a corresponding increase in growth rate at low-concentration antibiotic stress conditions, which may be due to diminished effective antibiotic concentration or stimulation of translation by WblC regulon products. Proteins showing both antibiotic stress- and WblC-dependent increase in ribosome association were identified, most of which were products of WblC regulon and many of which were reported to relieve translation stress. Respective mutation of 3 ribosome associate protein-coding WblC regulon genes resulted in increased susceptibility to erythromycin and/or tetracycline, which were recovered by complementation of the mutated genes. This study also deals with the mechanism how transcriptional attenuation is suppressed during antibiotic induction of wblC. First, the sequence elements of transcriptional attenuation were confirmed to be conserved among most of the wblC leader sequences of actinomycetes. Then, transcriptional termination caused by the Rho-independent terminator (RIT) of the leader sequence was verified to attenuate wblC expression. Putative antiterminator RNA structures were conserved in wblC leader sequences of sub-clades of actinomycetes, and the putative antiterminator of S. coelicolor actually functioned as an mechanism facilitating transcription readthrough during antibiotic stress. Lastly, it was found that amino acid starvation can also induce wblC expression by suppressing premature transcription termination, implying that ribosome-mediated attenuation of wblC responds to diverse translation deficiencies.์„ธ๊ท ์˜ ๊ธฐ์ดˆ ๋Œ€์‚ฌ์ธ ๋‹จ๋ฐฑ์งˆ ํ•ฉ์„ฑ ๊ณผ์ •, ์ฆ‰ ๋ฒˆ์—ญ์€ ์ˆ˜๋งŽ์€ ํ•ญ์ƒ์ œ์˜ ์ž‘์šฉ ํ‘œ์ ์ด๋‹ค. ๋ฒˆ์—ญ ์ €ํ•ด ํ•ญ์ƒ์ œ๋“ค์€ ๋‹ค์–‘ํ•œ ์ž‘์šฉ ๋ฐฉ์‹์œผ๋กœ ๋ฆฌ๋ณด์†œ์„ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ๋ฒˆ์—ญ ๊ธฐ๊ตฌ๋“ค์˜ ๊ธฐ๋Šฅ์„ ์ €ํ•ดํ•œ๋‹ค. ์„ธ๊ท ์€ ์œ ์ „์  ๋ณ€ํ™”๋ฅผ ํ†ตํ•œ ์ €ํ•ญ์„ฑ ํš๋“ ์™ธ์—๋„ ๊ณ ์œ ์˜ ์œ ์ „์ธ์ž๋ฅผ ํ™œ์šฉํ•ด ํ•ญ์ƒ์ œ์— ๋Œ€ํ•œ ๋‚ด์žฌ์  ์ €ํ•ญ์„ฑ์„ ๋ณด์ด๊ณค ํ•œ๋‹ค. ์—ฌ๋Ÿฌ ์œ ํ˜•์˜ ๋‚ด์žฌ์  ์ €ํ•ญ์„ฑ ๊ธฐ์ž‘์ด ์•Œ๋ ค์ ธ ์žˆ์œผ๋‚˜ ์•„์ง ๋ฐํ˜€์ง€์ง€ ์•Š์€ ๊ธฐ์ž‘๋„ ๋งŽ์ด ์กด์žฌํ•จ์ด ์„ธ๊ท ๋“ค์—์„œ ๊ด€์ฐฐ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋žŒ ์–‘์„ฑ ๋ฐฉ์„ ๊ท ๋ฌธ (Actinobacteria)์˜ ๋ฐฉ์„ ๊ท ๋ชฉ (actinomycetes) ์€ ํ™˜๊ฒฝ ๋ฏธ์ƒ๋ฌผ, ๋™์‹๋ฌผ ๊ณต์ƒ์ฒด, ๋ณ‘์›๊ท ๋“ค์„ ํฌํ•จํ•œ๋‹ค. ์ƒ์šฉ ํ•ญ์ƒ์ œ ๋Œ€๋‹ค์ˆ˜๋ฅผ ์ƒํ•ฉ์„ฑํ•˜๋Š” ํ•œํŽธ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ ๊ธฐ์ž‘์„ ๋‹ค์ˆ˜ ๋ณด์œ ํ•˜๋Š” Streptomyces ์†๊ณผ ๊ฒฐํ•ต๊ท  ๋“ฑ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ ๋ฌธ์ œ๋ฅผ ์ผ์œผํ‚ค๋Š” ์ฃผ์š” ๋ณ‘์›๊ท ์ด ์†ํ•œ Mycobacterium ์†์ด ๋ฐฉ์„ ๊ท ๋ชฉ์— ํฌํ•จ๋œ๋‹ค. WblC ํ˜น์€ WhiB7์€ ๋ฒˆ์—ญ ์ €ํ•ด ํ•ญ์ƒ์ œ์— ๋Œ€ํ•œ ๋ฐฉ์„ ๊ท ์˜ ๋‚ด์žฌ์  ์ €ํ•ญ์„ฑ ์ธ์ž์ด๋‹ค. WblC (WhiB7)๋Š” ์‹œ๊ทธ๋งˆ ์ธ์ž HrdB (SigA)์™€ ํ•จ๊ป˜ ํ‘œ์  ์œ ์ „์ž ํ”„๋กœ๋ชจํ„ฐ์— ๊ฒฐํ•ฉํ•ด ์ „์‚ฌ๋ฅผ ํ™œ์„ฑํ™”ํ•œ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ๋‹ค. WblC (WhiB7) ํ‘œ์  ์œ ์ „์ž ์‚ฐ๋ฌผ๋“ค์€ ๋‹ค์ˆ˜์˜ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ ๊ธฐ์ž‘์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ํ•˜์ง€๋งŒ WblC (WhiB7) ์กฐ์ ˆ ํ‘œ์  ์œ ์ „์ž๊ตฐ (์กฐ์ ˆ๊ตฐ)์˜ ๊ตฌ์„ฑ์€ ์ข… ๊ฐ„์— ๋งค์šฐ ์ƒ์ดํ•  ๋ฟ ์•„๋‹ˆ๋ผ ๋‹ค์ˆ˜์˜ ๊ธฐ๋Šฅ ๋ถˆ๋ช… ์œ ์ „์ž๋ฅผ ํฌํ•จํ•œ๋‹ค. ๋˜ํ•œ ๊ธฐ์กด์˜ WhiB7 ์กฐ์ ˆ๊ตฐ์˜ ์ •์˜ ๋ฐฉ์‹์—๋Š” ๋ช‡ ๊ฐ€์ง€ ๋ฌธ์ œ์ ๋“ค์ด ์žˆ์—ˆ๋‹ค. ํ•œํŽธ wblC (whiB7)๋Š” ๋ฆฌ๋ณด์†œ ๋งค๊ฐœ ์ „์‚ฌ ๊ฐ์‡  ๊ธฐ์ž‘์— ์˜ํ•œ ๋ฐœํ˜„ ์กฐ์ ˆ์„ ๋ฐ›๋Š”๋‹ค๊ณ  ์—ฌ๊ฒจ์ง€๋Š”๋ฐ ์ด์— ๋Œ€ํ•œ ์‹คํ—˜์  ์ฆ๋ช…์ด ์•„์ง ๋ถ€์กฑํ•˜๋ฉฐ ๋ฌด์—‡๋ณด๋‹ค ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค ์‹œ ์–ด๋–ป๊ฒŒ ์ „์‚ฌ ๊ฐ์‡ ๊ฐ€ ์–ต์ œ๋˜๋Š”์ง€๋Š” ์ œ์‹œ๋œ ๋ฐ”๊ฐ€ ์—†๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” Streptomyces coelicolor์—์„œ WblC์˜ ์กฐ์ ˆ ํ‘œ์ ๋“ค์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. S. coelicolor ์œ ์ „์ž์˜ 7.8%๊ฐ€ ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค ์ƒํ™ฉ์—์„œ WblC์— ์˜ํ•œ ์ „์‚ฌ๋Ÿ‰ ๋ณ€ํ™”๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์ด๋“ค ์ค‘ 312๊ฐœ ์œ ์ „์ž๊ฐ€ ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค ์ƒํ™ฉ์—์„œ WblC์˜ ์ง์ ‘์  ํ”„๋กœ๋ชจํ„ฐ ๊ฒฐํ•ฉ์ด ๊ด€์ฐฐ๋˜๋Š” WblC ์กฐ์ ˆ๊ตฐ (regulon) ์œผ๋กœ ํŒŒ์•…๋˜์—ˆ๋‹ค. WblC์— ์˜ํ•ด ๋ฐœํ˜„์ด ์ฆ๊ฐ€ํ•˜๋Š” 288๊ฐœ ์กฐ์ ˆ๊ตฐ ์œ ์ „์ž๋“ค์˜ ํ”„๋กœ๋ชจํ„ฐ๋“ค์€ mycobacteria์—์„œ์™€ ๊ฐ™์ด 2๊ฐœ์˜ ํ”„๋กœ๋ชจํ„ฐ ์„œ์—ด ์ธ์ž์™€ WblC ๊ฒฐํ•ฉ ๋ถ€์œ„๋ฅผ ๊ณตํ†ต์ ์œผ๋กœ ์ง€๋‹ˆ๊ณ  ์žˆ์—ˆ๊ณ , ์ด๋“ค ๊ณตํ†ต ์„œ์—ด์˜ ๋ณด์กด์„ฑ์— ์ƒ์‘ํ•˜๋Š” WblC ๊ฒฐํ•ฉ ๋ฐ ์ „์‚ฌ ํ™œ์„ฑํ™” ์ •๋„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, WblC ์˜์กด์  HrdB ๊ฒฐํ•ฉ ์ฆ๊ฐ€๊ฐ€ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ๋ฐ˜๋ฉด WblC์— ์˜ํ•œ ๋ฐœํ˜„ ๊ฐ์†Œ๋ฅผ ๋ณด์ด๋Š” 24๊ฐœ ์กฐ์ ˆ๊ตฐ ์œ ์ „์ž๋“ค์˜ ํ”„๋กœ๋ชจํ„ฐ๋“ค์—์„œ๋Š” ๊ณตํ†ต ์„œ์—ด์ด ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์•˜์œผ๋ฉฐ WblC์— ์˜ํ•œ HrdB ๊ฒฐํ•ฉ ์œ ๋„๋„ ์ผ์–ด๋‚˜์ง€ ์•Š์•˜๋‹ค. ํ•œํŽธ WblC๋Š” ์กฐ์ ˆ๊ตฐ ์œ ์ „์ž๋“ค ์™ธ์—๋„ ๋‹ค์ˆ˜์˜ noncoding RNA ๋ฐœํ˜„์„ ์กฐ์ ˆํ•˜์˜€๋‹ค. WblC ์กฐ์ ˆ๊ตฐ ์‚ฐ๋ฌผ ๋‹ค์ˆ˜๊ฐ€ ๋ฆฌ๋ณด์†œ์— ๊ฒฐํ•ฉํ•˜๋ฉฐ ์ƒˆ๋กœ์šด ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ ์ธ์ž๋“ค๋กœ ์ž‘์šฉํ•จ๋„ ํ™•์ธํ•˜์˜€๋‹ค. S. coelicolor์˜ WblC ์กฐ์ ˆ๊ตฐ์€ ๊ธฐ์กด์— ์•Œ๋ ค์ง„ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ ์œ ์ „์ž๋“ค์„ ๋‹ค์ˆ˜ ํฌํ•จํ•˜๋Š” ํ•œํŽธ ๋ช‡๋ช‡ ๊ธฐ๋Šฅ ์œ ํ˜•์˜ ์œ ์ „์ž๋“ค์„ ๋†’์€ ๋น„์œจ๋กœ ํฌํ•จํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ํŠนํžˆ ๋‹ค์ˆ˜์˜ ๋‹จ๋ฐฑ์งˆ ํ•ฉ์„ฑ ๊ด€์—ฌ ์œ ์ „์ž๋“ค์„ ํฌํ•จํ•˜์˜€๋‹ค. WblC๋Š” ์ €๋†๋„ ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค ์ƒํ™ฉ์—์„œ ์„ธํฌ ๋‚ด ์ „๋ฐ˜์  ๋ฒˆ์—ญ ์†๋„ ์ฆ๊ฐ€์™€ ์ด์— ์ƒ์‘ํ•˜๋Š” ์ƒ์žฅ ์†๋„ ์ฆ์ง„์„ ์œ ๋ฐœํ–ˆ๋Š”๋ฐ, ์ด๋Š” WblC ์กฐ์ ˆ๊ตฐ ์‚ฐ๋ฌผ๋“ค์— ์˜ํ•œ ์œ ํšจ ํ•ญ์ƒ์ œ ๋†๋„ ์ €๊ฐ ํ˜น์€ ๋ฒˆ์—ญ ์ด‰์ง„์— ๊ธฐ์ธํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค์™€ WblC์— ์˜์กด์ ์ธ ๋ฆฌ๋ณด์†œ ๊ฒฐํ•ฉ๋Ÿ‰ ์ฆ๊ฐ€๊ฐ€ ์ผ์–ด๋‚˜๋Š” ๋‹จ๋ฐฑ์งˆ๋“ค์„ ํŒŒ์•…ํ•ด ๋ณธ ๊ฒฐ๊ณผ ๋Œ€๋ถ€๋ถ„์ด WblC ์กฐ์ ˆ๊ตฐ์˜ ์‚ฐ๋ฌผ์ด์—ˆ์œผ๋ฉฐ ์ด๋“ค ์ค‘ ์ƒ๋‹น์ˆ˜๊ฐ€ ๋ฒˆ์—ญ ์ŠคํŠธ๋ ˆ์Šค์˜ ํ•ด์†Œ์— ๊ด€์—ฌํ•œ๋‹ค๋Š” ๋ณด๊ณ ๋“ค์„ ์ฐพ์„ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ฆฌ๋ณด์†œ ๊ฒฐํ•ฉ ๋‹จ๋ฐฑ์งˆ๋“ค์„ ์•”ํ˜ธํ™”ํ•˜๋Š” 3๊ฐœ ์œ ์ „์ž์˜ ๋ณ€์ด๊ฐ€ erythromycin, tetracycline์— ๋Œ€ํ•œ ์ €ํ•ญ์„ฑ์˜ ๊ฐ์†Œ๋ฅผ ์ผ์œผ์ผฐ์œผ๋ฉฐ ๋ณ€์ด๋œ ์œ ์ „์ž์˜ ๋ณด์™„ ์‹œ ํ•ญ์ƒ์ œ ์ €ํ•ญ์„ฑ์ด ํšŒ๋ณต๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋˜ํ•œ ํ•ญ์ƒ์ œ์— ์˜ํ•œ wblC ๋ฐœํ˜„ ์œ ๋„ ์ค‘ ์ „์‚ฌ ๊ฐ์‡ ๊ฐ€ ์–ต์ œ๋˜๋Š” ๊ธฐ์ž‘์„ ๋‹ค๋ฃจ์—ˆ๋‹ค. ๋จผ์ € ๋Œ€๋‹ค์ˆ˜์˜ ๋ฐฉ์„ ๊ท  wblC ์„ ๋„ ์„œ์—ด (leader sequence)์— ์ „์‚ฌ ๊ฐ์‡ ์˜ ์„œ์—ด ์ธ์ž๋“ค์ด ๋ณด์กด๋˜์–ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์„ ๋„ ์„œ์—ด ๋‚ด Rho ๋น„์˜์กด์  ์ข…๊ฒฐ์ž๊ฐ€ ์ผ์œผํ‚ค๋Š” ์ „์‚ฌ ์ข…๊ฒฐ์ด wblC ๋ฐœํ˜„ ๊ฐ์‡ ๋ฅผ ์ผ์œผํ‚ด์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ฐฉ์„ ๊ท ๋ชฉ ํ•˜์œ„ ๋ถ„๋ฅ˜๊ตฐ๋“ค์˜ ์„ ๋„ ์„œ์—ด ๋‚ด์— ๋ณด์กด๋œ ํ•ญ์ข…๊ฒฐ์ธ์ž (antiterminator) ์ถ”์ • RNA ๊ตฌ์กฐ๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ๊ณ , S. coelicolor์˜ ํ•ด๋‹น ํ•ญ์ข…๊ฒฐ์ธ์ž ์ถ”์ • ์„œ์—ด์€ ์‹ค์ œ๋กœ ํ•ญ์ƒ์ œ ์ŠคํŠธ๋ ˆ์Šค ์ƒํ™ฉ์—์„œ ์ „์‚ฌ ๊ฐ์‡ ๋ฅผ ์–ต์ œํ•˜๋Š” ๊ธฐ์ž‘์œผ๋กœ ์ž‘์šฉํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์•„๋ฏธ๋…ธ์‚ฐ ๊ณ ๊ฐˆ ์—ญ์‹œ ์ „์‚ฌ ์กฐ๊ธฐ ์ข…๊ฒฐ์„ ์–ต์ œํ•ด wblC ๋ฐœํ˜„์„ ์œ ๋„ํ•จ์„ ๋ฐœ๊ฒฌํ•จ์œผ๋กœ์จ wblC์˜ ๋ฆฌ๋ณด์†œ ๋งค๊ฐœ ์ „์‚ฌ ๊ฐ์‡ ๋Š” ๋‹ค์–‘ํ•œ ๋ฒˆ์—ญ ๊ฒฐํ•จ์— ๋ฐ˜์‘ํ•จ์„ ์ œ์‹œํ•˜์˜€๋‹ค.Chapter 1. Introduction 1 1-1. Translation-inhibitory antibiotics 1 1-2. Intrinsic antibiotic resistance of bacteria 2 1-3. Intrinsic antibiotic resistance of actinomycetes 3 1-4. WblC/WhiB7, a transcriptional regulator of intrinsic antibiotic resistance 4 1-5. Antibiotic resistance genes of WblC/WhiB7 regulon 7 1-6. Criteria of defining WblC/WhiB7 regulon 8 1-7. Regulation of antibiotic resistance by ribosome-mediated attenuation 9 1-8. Ribosome-mediated transcriptional attenuation of wblC/whiB7 12 Chapter 2. Materials and Methods 13 2-1. Strains, plasmids, and reagents 13 2-2. Culture conditions 19 2-3. RNA sequencing (RNA-seq) 19 2-4. Chromatin immunoprecipitation-sequencing (ChIP-seq) 20 2-5. In silico sequence analyses 20 2-6. Chromatin immunoprecipitation-quantitative PCR (ChIP-qPCR) 21 2-7. In silico Analyses of gene-protein functions 22 2-8. In vivo 35S-methionine/cysteine incorporation assay 23 2-9. Ribosome isolation 23 2-10. Liquid chromatography-tandem mass spectrometry 24 2-11. Construction of mutant strains 25 2-12. Introduction of genes via integrative vectors 26 2-13. Minimum inhibitory concentration (MIC) test 27 2-14. S1 nuclease protection assay 27 2-15. Probe preparation for S1 nuclease protection assay 28 2-16. Quantitative reverse transcription-PCR (qRT-PCR) 29 Chapter 3. WblC-regulated targets in S. coelicolor 30 3-1. Direct target genes controlled by WblC 30 3-2. Promoter sequence motif of WblC-upregulated regulon 33 3-3. Different modes of WblC binding to activated and repressed regulon promoters 37 3-4. Noncoding RNA targets controlled by WblC 39 Chapter 4. Antibiotic resistance conferred by ribosome-associated proteins of WblC regulon 41 4-1. Functions of WblC-upregulated regulon gene products and relationship with antibiotic resistance 41 4-2. Maintenance of translation rate by WblC during antibiotic stress 48 4-3. Association of WblC-upregulated gene products with ribosome 51 4-4. Contribution of ribosome-associated WblC regulon gene products to intrinsic resistance 57 Chapter 5. The mechanism of wblC induction by translation stress 59 5-1. Conservation of ribosome-mediated transcriptional attenuation of wblC/whiB7 orthologs 59 5-2. Attenuation caused by leader RIT 61 5-3. Conservation of putative antiterminator structure in wblC leader sequences 64 5-4. Transcription readthrough caused by antiterminator formation during antibiotic stress 69 5-5. Induction of wblC by amino acid starvation 72 Chapter 6. Discussion 77 6-1. Transcriptional regulation by WblC 77 6-2. Antibiotic resistance and functions of WblC regulon 78 6-3. The mechanism of wblC induction by translation stress 79 Bibliography 81 Appendix 97 List of abbreviations 97 Abstract in Korean 99Docto

    Adaptive Mechanisms of Niche Remodeling in Streptococcus pyogenes

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    The Gram-positive bacterium Streptococcus pyogenes is a remarkably successful pathogen, capable of infecting numerous tissue sites within its human host. The ability of S. pyogenes to invade these different niches is, in part, due to the speciesโ€™ ability to monitor various physical and chemical signals in its environment and alter its transcriptional profile in response to these differential conditions. As a member of the lactic acid bacteria, S. pyogenes has a simple fermentative metabolism and relies exclusively on a combination of homo-lactic and mixed acid fermentation as a means of generating energy in the cell. As a consequence of its fermentative metabolism, S. pyogenes produces several organic acid end products that, over time, accumulate in the surrounding environment, causing a substantial reduction in pH. Thus, growth of the bacterium itself results in a significant remodeling of its local tissue environment. It also indicates that over the course of infection, it must both adapt to its self-inflicted acid stress as well as exploit alternative carbon sources for survival. Although pH has been identified as a signal utilized by S. pyogenes to induce global transcriptional changes, the specific regulatory mechanisms behind this transcriptional remodeling have largely remained unclear. To further characterize the process of S. pyogenesโ€™ pH adaptive response we have identified several novel pH-sensitive transcriptional regulators and analyzed their contribution to gene expression and S. pyogenes pathogenesis. The malic enzyme pathway, which allows the cell to utilize malate as a carbon source for growth, consists of four genes in two adjacent operons, with the regulatory TCS MaeKR being required for the expression of the genes encoding a malate permease (maeP) and malic enzyme (maeE). Results show that expression of the maePE operon is influenced independently by external malate concentrations and pH in a MaeK-dependent mechanism. The ME genes are additionally regulated by a unique CcpA-independent form of catabolite repression which involves the PTS proteins PtsI and HPr. Furthermore, in vivo experiments demonstrate that loss of any individual ME gene has a significant effect on the outcome of a soft tissue infection. The secreted toxins SPN and SLO have been shown to contribute to S. pyogenes cytotoxicity and virulence in multiple models of pathogenesis, however little information is known about the specific regulatory mechanism that control expression of these toxins. Our work has determined that the growth-phase pattern of expression of the spn/slo operon is regulated by environmental pH. Additionally, this regulation requires both the CovRS two-component system as well as an additional protein, RocA. Additional data suggests that RocA does not function as a traditional histidine kinase, despite high structural and sequence homology to known histidine kinases such as CovS. However, all three regulatory proteins are required for the pH-mediated regulation of this virulence operon

    Control Theory for Synthetic Biology: Recent Advances in System Characterization, Control Design, and Controller Implementation for Synthetic Biology

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    Living organisms are differentiated by their genetic material-millions to billions of DNA bases encoding thousands of genes. These genes are translated into a vast array of proteins, many of which have functions that are still unknown. Previously, it was believed that simply knowing the genetic sequence of an organism would be the key to unlocking all understanding. However, as DNA sequencing technology has become affordable, it has become clear that living cells are governed by complex, multilayered networks of gene regulation that cannot be deduced from sequence alone. Synthetic biology as a field might best be characterized as a learn-by-building approach, in which scientists attempt to engineer molecular pathways that do not exist in nature. In doing so, they test the limits of both natural and engineered organisms
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