Literature DB >> 18067578

Reannotation of hypothetical ORFs in plant pathogen Erwinia carotovora subsp. atroseptica SCRI1043.

Ling-Ling Chen1, Bin-Guang Ma, Na Gao.   

Abstract

Over-annotation of hypothetical ORFs is a common phenomenon in bacterial genomes, which necessitates confirming the coding reliability of hypothetical ORFs and then predicting their functions. The important plant pathogen Erwinia carotovora subsp. atroseptica SCRI1043 (Eca1043) is a typical case because more than a quarter of its annotated ORFs are hypothetical. Our analysis focuses on annotation of Eca1043 hypothetical ORFs, and comprises two efforts: (a) based on the Z-curve method, 49 originally annotated hypothetical ORFs are recognized as noncoding, this is further supported by principal components analysis and other evidence; and (b) using sequence-alignment tools and some functional resources, more than a half of the hypothetical genes were assigned functions. The potential functions of 427 hypothetical genes are summarized according to the cluster of orthologous groups functional category. Moreover, 114 and 86 hypothetical genes are recognized as putative 'membrane proteins' and 'exported proteins', respectively. Reannotation of Eca1043 hypothetical ORFs will benefit research into the lifestyle, metabolism and pathogenicity of the important plant pathogen. Also, our study proffers a model for the reannotation of hypothetical ORFs in microbial genomes.

Entities:  

Mesh:

Year:  2007        PMID: 18067578     DOI: 10.1111/j.1742-4658.2007.06190.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  10 in total

1.  Re-annotation is an essential step in systems biology modeling of functional genomics data.

Authors:  Bart H J van den Berg; Fiona M McCarthy; Susan J Lamont; Shane C Burgess
Journal:  PLoS One       Date:  2010-05-14       Impact factor: 3.240

2.  GI-type T4SS-mediated horizontal transfer of the 89K pathogenicity island in epidemic Streptococcus suis serotype 2.

Authors:  Ming Li; Xiaodong Shen; Jinghua Yan; Huiming Han; Beiwen Zheng; Di Liu; Hao Cheng; Yan Zhao; Xiancai Rao; Changjun Wang; Jiaqi Tang; Fuquan Hu; George F Gao
Journal:  Mol Microbiol       Date:  2011-02-10       Impact factor: 3.501

3.  An integrative method for identifying the over-annotated protein-coding genes in microbial genomes.

Authors:  Jia-Feng Yu; Ke Xiao; Dong-Ke Jiang; Jing Guo; Ji-Hua Wang; Xiao Sun
Journal:  DNA Res       Date:  2011-09-08       Impact factor: 4.458

4.  Enhancement of crystallization with nucleotide ligands identified by dye-ligand affinity chromatography.

Authors:  Heungbok Kim; Cecelia Webster; Justin K M Roberts; Juthamas Kositsawat; Li-Wei Hung; Thomas C Terwilliger; Chang-Yub Kim
Journal:  J Struct Funct Genomics       Date:  2012-06

Review 5.  Type IV secretion systems: tools of bacterial horizontal gene transfer and virulence.

Authors:  Mario Juhas; Derrick W Crook; Derek W Hood
Journal:  Cell Microbiol       Date:  2008-06-10       Impact factor: 3.715

6.  Genome reannotation of Escherichia coli CFT073 with new insights into virulence.

Authors:  Chengwei Luo; Gang-Qing Hu; Huaiqiu Zhu
Journal:  BMC Genomics       Date:  2009-11-22       Impact factor: 3.969

7.  Transcriptome profile of a bovine respiratory disease pathogen: Mannheimia haemolytica PHL213.

Authors:  Joseph S Reddy; Ranjit Kumar; James M Watt; Mark L Lawrence; Shane C Burgess; Bindu Nanduri
Journal:  BMC Bioinformatics       Date:  2012-09-11       Impact factor: 3.169

8.  Re-annotation of protein-coding genes in 10 complete genomes of Neisseriaceae family by combining similarity-based and composition-based methods.

Authors:  Feng-Biao Guo; Lifeng Xiong; Jade L L Teng; Kwok-Yung Yuen; Susanna K P Lau; Patrick C Y Woo
Journal:  DNA Res       Date:  2013-04-09       Impact factor: 4.458

9.  Evaluation of reference genes for real-time RT-PCR expression studies in the plant pathogen Pectobacterium atrosepticum.

Authors:  Gunnhild W Takle; Ian K Toth; May B Brurberg
Journal:  BMC Plant Biol       Date:  2007-09-21       Impact factor: 4.215

10.  Recognition of Protein-coding Genes Based on Z-curve Algorithms.

Authors:  Feng -Biao Guo; Yan Lin; Ling -Ling Chen
Journal:  Curr Genomics       Date:  2014-04       Impact factor: 2.236

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.