Literature DB >> 17544603

Comparative analysis of predicted gene expression among deep-sea genomes.

Ke Xu1, Bin-Guang Ma.   

Abstract

Deep-sea species live in an environment that is specifically characterized by extreme temperature and hydrostatic pressure. In this work, predicted highly expressed (PHX) genes are comparatively analyzed for six deep-sea microbes, which allows us to pinpoint the common highly expressed genes shared by them. The relationships between gene expression level and some basic properties such as genomic G + C content, optimal growth temperature (OGT), and environmental hydrostatic pressure of the six deep-sea species are also investigated. We find that the percentage of PHX genes out of a whole genome positively correlates to OGT for the deep-sea genomes, whereas such positive correlation seems not to exist between environmental hydrostatic pressure and percentage of PHX genes. Moreover, there exists a negative correlation between genomic G + C content and diversity of gene expression level for the deep-sea genomes, which is in sharp contrast to land-living microbes. We report the top 20 PHX genes for the six deep-sea genomes and find no common highly expressed genes shared by them except for ribosomal proteins, transcription factors, and translation factors. Our present work proffers a paradigm for studying the relationship between environmental factors and microbes' predicted gene expression level.

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Year:  2007        PMID: 17544603     DOI: 10.1016/j.gene.2007.04.023

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

1.  Comparative metagenomic analysis of a microbial community residing at a depth of 4,000 meters at station ALOHA in the North Pacific subtropical gyre.

Authors:  Konstantinos T Konstantinidis; Jennifer Braff; David M Karl; Edward F DeLong
Journal:  Appl Environ Microbiol       Date:  2009-06-19       Impact factor: 4.792

2.  Comparative genomics reveals adaptation by Alteromonas sp. SN2 to marine tidal-flat conditions: cold tolerance and aromatic hydrocarbon metabolism.

Authors:  Renukaradhya K Math; Hyun Mi Jin; Jeong Myeong Kim; Yoonsoo Hahn; Woojun Park; Eugene L Madsen; Che Ok Jeon
Journal:  PLoS One       Date:  2012-04-26       Impact factor: 3.240

3.  Abundance and Temperature Dependency of Protein-Protein Interaction Revealed by Interface Structure Analysis and Stability Evolution.

Authors:  Yi-Ming He; Bin-Guang Ma
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

  3 in total

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