Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data

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Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data. / Raes, Jeroen; Letunic, Ivica; Yamada, Takuji; Jensen, Lars Juhl; Bork, Peer.

In: Molecular Systems Biology, Vol. 7, 2011, p. 473.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Raes, J, Letunic, I, Yamada, T, Jensen, LJ & Bork, P 2011, 'Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data', Molecular Systems Biology, vol. 7, pp. 473. https://doi.org/10.1038/msb.2011.6

APA

Raes, J., Letunic, I., Yamada, T., Jensen, L. J., & Bork, P. (2011). Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data. Molecular Systems Biology, 7, 473. https://doi.org/10.1038/msb.2011.6

Vancouver

Raes J, Letunic I, Yamada T, Jensen LJ, Bork P. Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data. Molecular Systems Biology. 2011;7:473. https://doi.org/10.1038/msb.2011.6

Author

Raes, Jeroen ; Letunic, Ivica ; Yamada, Takuji ; Jensen, Lars Juhl ; Bork, Peer. / Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data. In: Molecular Systems Biology. 2011 ; Vol. 7. pp. 473.

Bibtex

@article{9f1f3b293fc143f89f1967bb590912b7,

title = "Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data",

abstract = "Using metagenomic 'parts lists' to infer global patterns on microbial ecology remains a significant challenge. To deduce important ecological indicators such as environmental adaptation, molecular trait dispersal, diversity variation and primary production from the gene pool of an ecosystem, we integrated 25 ocean metagenomes with geographical, meteorological and geophysicochemical data. We find that climatic factors (temperature, sunlight) are the major determinants of the biomolecular repertoire of each sample and the main limiting factor on functional trait dispersal (absence of biogeographic provincialism). Molecular functional richness and diversity show a distinct latitudinal gradient peaking at 20° N and correlate with primary production. The latter can also be predicted from the molecular functional composition of an environmental sample. Together, our results show that the functional community composition derived from metagenomes is an important quantitative readout for molecular trait-based biogeography and ecology.",

keywords = "Adaptation, Physiological, Algorithms, Biodiversity, Climate, Data Interpretation, Statistical, Ecology, Ecosystem, Genetic Loci, Geography, Metabolic Networks and Pathways, Metagenomics, Molecular Sequence Annotation, Oceans and Seas, Regression Analysis, Seawater, Species Specificity",

author = "Jeroen Raes and Ivica Letunic and Takuji Yamada and Jensen, {Lars Juhl} and Peer Bork",

note = "{\textcopyright} 2011 EMBO and Macmillan Publishers Limited",

year = "2011",

doi = "10.1038/msb.2011.6",

language = "English",

volume = "7",

pages = "473",

journal = "Molecular Systems Biology",

issn = "1744-4292",

publisher = "Wiley-Blackwell",

}

RIS

TY - JOUR

T1 - Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data

AU - Raes, Jeroen

AU - Letunic, Ivica

AU - Yamada, Takuji

AU - Jensen, Lars Juhl

AU - Bork, Peer

PY - 2011

Y1 - 2011

N2 - Using metagenomic 'parts lists' to infer global patterns on microbial ecology remains a significant challenge. To deduce important ecological indicators such as environmental adaptation, molecular trait dispersal, diversity variation and primary production from the gene pool of an ecosystem, we integrated 25 ocean metagenomes with geographical, meteorological and geophysicochemical data. We find that climatic factors (temperature, sunlight) are the major determinants of the biomolecular repertoire of each sample and the main limiting factor on functional trait dispersal (absence of biogeographic provincialism). Molecular functional richness and diversity show a distinct latitudinal gradient peaking at 20° N and correlate with primary production. The latter can also be predicted from the molecular functional composition of an environmental sample. Together, our results show that the functional community composition derived from metagenomes is an important quantitative readout for molecular trait-based biogeography and ecology.

AB - Using metagenomic 'parts lists' to infer global patterns on microbial ecology remains a significant challenge. To deduce important ecological indicators such as environmental adaptation, molecular trait dispersal, diversity variation and primary production from the gene pool of an ecosystem, we integrated 25 ocean metagenomes with geographical, meteorological and geophysicochemical data. We find that climatic factors (temperature, sunlight) are the major determinants of the biomolecular repertoire of each sample and the main limiting factor on functional trait dispersal (absence of biogeographic provincialism). Molecular functional richness and diversity show a distinct latitudinal gradient peaking at 20° N and correlate with primary production. The latter can also be predicted from the molecular functional composition of an environmental sample. Together, our results show that the functional community composition derived from metagenomes is an important quantitative readout for molecular trait-based biogeography and ecology.

KW - Adaptation, Physiological

KW - Algorithms

KW - Biodiversity

KW - Climate

KW - Data Interpretation, Statistical

KW - Ecology

KW - Ecosystem

KW - Genetic Loci

KW - Geography

KW - Metabolic Networks and Pathways

KW - Metagenomics

KW - Molecular Sequence Annotation

KW - Oceans and Seas

KW - Regression Analysis

KW - Seawater

KW - Species Specificity

U2 - 10.1038/msb.2011.6

DO - 10.1038/msb.2011.6

M3 - Journal article

C2 - 21407210

VL - 7

SP - 473

JO - Molecular Systems Biology

JF - Molecular Systems Biology

SN - 1744-4292

ER -

ID: 40291032