Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
The genomic basis of trophic strategy in marine bacteria. / Lauro, Federico M.; McDougald, Diane; Thomas, Torsten; Williams, Timothy J.; Egan, Suhelen; Rice, Scott; DeMaere, Matthew Z.; Ting, Lily; Ertan, Haluk; Johnson, Justin; Ferriera, Steven; Lapidus, Alla; Anderson, Iain; Kyrpides, Nikos; Munkf, A. Christine; Detterg, Chris; Hang, Cliff S.; Brown, Mark V.; Robb, Frank T.; Kjelleberg, Staffan; Cavicchioli, Ricardo.
в: Proceedings of the National Academy of Sciences of the United States of America, Том 106, № 37, 15.09.2009, стр. 15527-15533.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - The genomic basis of trophic strategy in marine bacteria
AU - Lauro, Federico M.
AU - McDougald, Diane
AU - Thomas, Torsten
AU - Williams, Timothy J.
AU - Egan, Suhelen
AU - Rice, Scott
AU - DeMaere, Matthew Z.
AU - Ting, Lily
AU - Ertan, Haluk
AU - Johnson, Justin
AU - Ferriera, Steven
AU - Lapidus, Alla
AU - Anderson, Iain
AU - Kyrpides, Nikos
AU - Munkf, A. Christine
AU - Detterg, Chris
AU - Hang, Cliff S.
AU - Brown, Mark V.
AU - Robb, Frank T.
AU - Kjelleberg, Staffan
AU - Cavicchioli, Ricardo
PY - 2009/9/15
Y1 - 2009/9/15
N2 - Many marine bacteria have evolved to grow optimally at either high (copiotrophic) or low (oligotrophic) nutrient concentrations, enabling different species to colonize distinct trophic habitats in the oceans. Here, we compare the genome sequences of two bacteria, Photobacterium angustum S14 and Sphingopyxis alaskensis RB2256, that serve as useful model organisms for copiotrophic and oligotrophic modes of life and specifically relate the genomic features to trophic strategy for these organisms and define their molecular mechanisms of adaptation. We developed a model for predicting trophic lifestyle from genome sequence data and tested >400,000 proteins representing >500 million nucleotides of sequence data from 126 genome sequences with metagenome data of whole environmental samples. When applied to available oceanic metagenome data (e.g., the Global Ocean Survey data) the model demonstrated that oligotrophs, and not the more readily isolatable copiotrophs, dominate the ocean's free-living microbial populations. Using our model, it is now possible to define the types of bacteria that specific ocean niches are capable of sustaining.
AB - Many marine bacteria have evolved to grow optimally at either high (copiotrophic) or low (oligotrophic) nutrient concentrations, enabling different species to colonize distinct trophic habitats in the oceans. Here, we compare the genome sequences of two bacteria, Photobacterium angustum S14 and Sphingopyxis alaskensis RB2256, that serve as useful model organisms for copiotrophic and oligotrophic modes of life and specifically relate the genomic features to trophic strategy for these organisms and define their molecular mechanisms of adaptation. We developed a model for predicting trophic lifestyle from genome sequence data and tested >400,000 proteins representing >500 million nucleotides of sequence data from 126 genome sequences with metagenome data of whole environmental samples. When applied to available oceanic metagenome data (e.g., the Global Ocean Survey data) the model demonstrated that oligotrophs, and not the more readily isolatable copiotrophs, dominate the ocean's free-living microbial populations. Using our model, it is now possible to define the types of bacteria that specific ocean niches are capable of sustaining.
KW - Microbial adaptation and ecology
KW - Microbial genomics and metagenomics
KW - Monitoring environmental health
KW - Trophic adaptation
UR - http://www.scopus.com/inward/record.url?scp=70349458100&partnerID=8YFLogxK
U2 - 10.1073/pnas.0903507106
DO - 10.1073/pnas.0903507106
M3 - Article
C2 - 19805210
AN - SCOPUS:70349458100
VL - 106
SP - 15527
EP - 15533
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 37
ER -
ID: 90033194