Disentangling host–microbiota complexity through hologenomics
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Disentangling host–microbiota complexity through hologenomics. / Alberdi, Antton; Andersen, Sandra B.; Limborg, Morten T.; Dunn, Robert R.; Gilbert, M. Thomas P.
In: Nature Reviews Genetics, Vol. 23, No. 5, 2022, p. 281-297.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Disentangling host–microbiota complexity through hologenomics
AU - Alberdi, Antton
AU - Andersen, Sandra B.
AU - Limborg, Morten T.
AU - Dunn, Robert R.
AU - Gilbert, M. Thomas P.
N1 - Publisher Copyright: © 2021, Springer Nature Limited.
PY - 2022
Y1 - 2022
N2 - Research on animal–microbiota interactions has become a central topic in biological sciences because of its relevance to basic eco-evolutionary processes and applied questions in agriculture and health. However, animal hosts and their associated microbial communities are still seldom studied in a systemic fashion. Hologenomics, the integrated study of the genetic features of a eukaryotic host alongside that of its associated microbes, is becoming a feasible — yet still underexploited — approach that overcomes this limitation. Acknowledging the biological and genetic properties of both hosts and microbes, along with the advantages and disadvantages of implemented techniques, is essential for designing optimal studies that enable some of the major questions in biology to be addressed.
AB - Research on animal–microbiota interactions has become a central topic in biological sciences because of its relevance to basic eco-evolutionary processes and applied questions in agriculture and health. However, animal hosts and their associated microbial communities are still seldom studied in a systemic fashion. Hologenomics, the integrated study of the genetic features of a eukaryotic host alongside that of its associated microbes, is becoming a feasible — yet still underexploited — approach that overcomes this limitation. Acknowledging the biological and genetic properties of both hosts and microbes, along with the advantages and disadvantages of implemented techniques, is essential for designing optimal studies that enable some of the major questions in biology to be addressed.
U2 - 10.1038/s41576-021-00421-0
DO - 10.1038/s41576-021-00421-0
M3 - Review
C2 - 34675394
AN - SCOPUS:85117477242
VL - 23
SP - 281
EP - 297
JO - Nature Reviews. Genetics
JF - Nature Reviews. Genetics
SN - 1471-0056
IS - 5
ER -
ID: 283213384