Identification of new genes in Sinorhizobium meliloti using the Genome Sequencer FLX system

Identification of new genes in Sinorhizobium meliloti using the Genome Sequencer FLX system

Chunhong Mao;Clive Evans;Roderick V Jensen;Bruno WS Sobral;Chunhong Mao;Clive Evans;Roderick V Jensen;Bruno WS Sobral;
bmc microbiology 2008 Vol. 8 pp. 1-8
243
mao2008bmcidentification

Abstract

Sinorhizobium meliloti is an agriculturally important model symbiont. There is an ongoing need to update and improve its genome annotation. In this study, we used a high-throughput pyrosequencing approach to sequence the transcriptome of S. meliloti, and search for new bacterial genes missed in the previous genome annotation. This is the first report of sequencing a bacterial transcriptome using the pyrosequencing technology. Our pilot sequencing run generated 19,005 reads with an average length of 136 nucleotides per read. From these data, we identified 20 new genes. These new gene transcripts were confirmed by RT-PCR and their possible functions were analyzed. Our results indicate that high-throughput sequence analysis of bacterial transcriptomes is feasible and next-generation sequencing technologies will greatly facilitate the discovery of new genes and improve genome annotation.

Citation

ID: 116373
Ref Key: mao2008bmcidentification
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
116373
Unique Identifier:
doi:10.1186/1471-2180-8-72
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet