Sociomics: Using Omic Approaches to Understand Social Evolution

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Sociomics : Using Omic Approaches to Understand Social Evolution. / Ghoul, Melanie; Andersen, Sandra B.; West, Stuart A.

In: Trends in Genetics, Vol. 33, No. 6, 01.06.2017, p. 408-419.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Ghoul, M, Andersen, SB & West, SA 2017, 'Sociomics: Using Omic Approaches to Understand Social Evolution', Trends in Genetics, vol. 33, no. 6, pp. 408-419. https://doi.org/10.1016/j.tig.2017.03.009

APA

Ghoul, M., Andersen, S. B., & West, S. A. (2017). Sociomics: Using Omic Approaches to Understand Social Evolution. Trends in Genetics, 33(6), 408-419. https://doi.org/10.1016/j.tig.2017.03.009

Vancouver

Ghoul M, Andersen SB, West SA. Sociomics: Using Omic Approaches to Understand Social Evolution. Trends in Genetics. 2017 Jun 1;33(6):408-419. https://doi.org/10.1016/j.tig.2017.03.009

Author

Ghoul, Melanie ; Andersen, Sandra B. ; West, Stuart A. / Sociomics : Using Omic Approaches to Understand Social Evolution. In: Trends in Genetics. 2017 ; Vol. 33, No. 6. pp. 408-419.

Bibtex

@article{08ad873b8df9407fa0d9100a5a967715,
title = "Sociomics: Using Omic Approaches to Understand Social Evolution",
abstract = "All of life is social, from genes cooperating to form organisms, to animals cooperating to form societies. Omic approaches offer exceptional opportunities to solve major outstanding problems in the study of how sociality evolves. First, omics can be used to clarify the extent and form of sociality in natural populations. This is especially useful in species where it is difficult to study social traits in natural populations, such as bacteria and other microbes. Second, omics can be used to examine the consequences of sociality for genome evolution and gene expression. This is especially useful in cases where there is clear variation in the level of sociality, such as the social insects. Major tasks for the future are to apply these approaches to a wider range of non-model organisms, and to move from exploratory analyses to the testing of evolutionary theory.",
keywords = "altruism, conflict, cooperation, genomics, metabolomics, proteomics, transcriptomics",
author = "Melanie Ghoul and Andersen, {Sandra B.} and West, {Stuart A.}",
year = "2017",
month = jun,
day = "1",
doi = "10.1016/j.tig.2017.03.009",
language = "English",
volume = "33",
pages = "408--419",
journal = "Trends in Genetics",
issn = "0168-9525",
publisher = "Elsevier Ltd. * Trends Journals",
number = "6",

}

RIS

TY - JOUR

T1 - Sociomics

T2 - Using Omic Approaches to Understand Social Evolution

AU - Ghoul, Melanie

AU - Andersen, Sandra B.

AU - West, Stuart A.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - All of life is social, from genes cooperating to form organisms, to animals cooperating to form societies. Omic approaches offer exceptional opportunities to solve major outstanding problems in the study of how sociality evolves. First, omics can be used to clarify the extent and form of sociality in natural populations. This is especially useful in species where it is difficult to study social traits in natural populations, such as bacteria and other microbes. Second, omics can be used to examine the consequences of sociality for genome evolution and gene expression. This is especially useful in cases where there is clear variation in the level of sociality, such as the social insects. Major tasks for the future are to apply these approaches to a wider range of non-model organisms, and to move from exploratory analyses to the testing of evolutionary theory.

AB - All of life is social, from genes cooperating to form organisms, to animals cooperating to form societies. Omic approaches offer exceptional opportunities to solve major outstanding problems in the study of how sociality evolves. First, omics can be used to clarify the extent and form of sociality in natural populations. This is especially useful in species where it is difficult to study social traits in natural populations, such as bacteria and other microbes. Second, omics can be used to examine the consequences of sociality for genome evolution and gene expression. This is especially useful in cases where there is clear variation in the level of sociality, such as the social insects. Major tasks for the future are to apply these approaches to a wider range of non-model organisms, and to move from exploratory analyses to the testing of evolutionary theory.

KW - altruism

KW - conflict

KW - cooperation

KW - genomics

KW - metabolomics

KW - proteomics

KW - transcriptomics

UR - http://www.scopus.com/inward/record.url?scp=85018903282&partnerID=8YFLogxK

U2 - 10.1016/j.tig.2017.03.009

DO - 10.1016/j.tig.2017.03.009

M3 - Review

C2 - 28506494

AN - SCOPUS:85018903282

VL - 33

SP - 408

EP - 419

JO - Trends in Genetics

JF - Trends in Genetics

SN - 0168-9525

IS - 6

ER -

ID: 220859461