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Deep Sequencing Analysis of Small Noncoding RNA and mRNA Targets of the Global Post-Transcriptional Regulator, Hfq
被引:433
作者:
Sittka, Alexandra
[1
]
Lucchini, Sacha
[2
]
Papenfort, Kai
[1
]
Sharma, Cynthia M.
[1
]
Rolle, Katarzyna
[1
]
Binnewies, Tim T.
[3
]
Hinton, Jay C. D.
[2
]
Vogel, Joerg
[1
]
机构:
[1] RNA Biol, Max Planck Inst Infect Biol, Berlin, Germany
[2] AFRC, Inst Food Res, Norwich NR4 7UA, Norfolk, England
[3] Tech Univ Denmark, Ctr Biol Sequence Anal, DK-2800 Lyngby, Denmark
来源:
PLOS GENETICS
|
2008年
/
4卷
/
08期
基金:
英国生物技术与生命科学研究理事会;
关键词:
D O I:
10.1371/journal.pgen.1000163
中图分类号:
Q3 [遗传学];
学科分类号:
071007 ;
090102 ;
摘要:
Recent advances in high-throughput pyrosequencing (HTPS) technology now allow a thorough analysis of RNA bound to cellular proteins, and, therefore, of post-transcriptional regulons. We used HTPS to discover the Salmonella RNAs that are targeted by the common bacterial Sm-like protein, Hfq. Initial transcriptomic analysis revealed that Hfq controls the expression of almost a fifth of all Salmonella genes, including several horizontally acquired pathogenicity islands (SPI-1, -2, -4, -5), two sigma factor regulons, and the flagellar gene cascade. Subsequent HTPS analysis of 350,000 cDNAs, derived from RNA co-immunoprecipitation (coIP) with epitope-tagged Hfq or control coIP, identified 727 mRNAs that are Hfq-bound in vivo. The cDNA analysis discovered new, small noncoding RNAs (sRNAs) and more than doubled the number of sRNAs known to be expressed in Salmonella to 64; about half of these are associated with Hfq. Our analysis explained aspects of the pleiotropic effects of Hfq loss-of-function. Specifically, we found that the mRNAs of hilD (master regulator of the SPI-1 invasion genes) and flhDC (flagellar master regulator) were bound by Hfq. We predicted that defective SPI-1 secretion and flagellar phenotypes of the hfq mutant would be rescued by overexpression of HilD and FlhDC, and we proved this to be correct. The combination of epitope-tagging and HTPS of immunoprecipitated RNA detected the expression of many intergenic chromosomal regions of Salmonella. Our approach overcomes the limited availability of high-density microarrays that have impeded expression-based sRNA discovery in microorganisms. We present a generic strategy that is ideal for the systems-level analysis of the post-transcriptional regulons of RNA-binding proteins and for sRNA discovery in a wide range of bacteria.
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