TY - JOUR

T1 - Holo-Omics

T2 - Integrated Host-Microbiota Multi-omics for Basic and Applied Biological Research

AU - Nyholm, Lasse

AU - Koziol, Adam

AU - Marcos, Sofia

AU - Botnen, Amanda Bolt

AU - Aizpurua, Ostaizka

AU - Gopalakrishnan, Shyam

AU - Limborg, Morten T.

AU - Gilbert, M. Thomas P.

AU - Alberdi, Antton

PY - 2020

Y1 - 2020

N2 - From ontogenesis to homeostasis, the phenotypes of complex organisms are shaped by the bidirectional interactions between the host organisms and their associated microbiota. Current technology can reveal many such interactions by combining multi-omic data from both hosts and microbes. However, exploring the full extent of these interactions requires careful consideration of study design for the efficient generation and optimal integration of data derived from (meta)genomics, (meta)transcriptomics, (meta)proteomics, and (meta)metabolomics. In this perspective, we introduce the holo-omic approach that incorporates multi-omic data from both host and microbiota domains to untangle the interplay between the two. We revisit the recent literature on biomolecular host-microbe interactions and discuss the implementation and current limitations of the holo-omic approach. We anticipate that the application of this approach can contribute to opening new research avenues and discoveries in biomedicine, biotechnology, agricultural and aquacultural sciences, nature conservation, as well as basic ecological and evolutionary research.

AB - From ontogenesis to homeostasis, the phenotypes of complex organisms are shaped by the bidirectional interactions between the host organisms and their associated microbiota. Current technology can reveal many such interactions by combining multi-omic data from both hosts and microbes. However, exploring the full extent of these interactions requires careful consideration of study design for the efficient generation and optimal integration of data derived from (meta)genomics, (meta)transcriptomics, (meta)proteomics, and (meta)metabolomics. In this perspective, we introduce the holo-omic approach that incorporates multi-omic data from both host and microbiota domains to untangle the interplay between the two. We revisit the recent literature on biomolecular host-microbe interactions and discuss the implementation and current limitations of the holo-omic approach. We anticipate that the application of this approach can contribute to opening new research avenues and discoveries in biomedicine, biotechnology, agricultural and aquacultural sciences, nature conservation, as well as basic ecological and evolutionary research.

KW - Evolutionary Biology

KW - Microbiome

U2 - 10.1016/j.isci.2020.101414

DO - 10.1016/j.isci.2020.101414

M3 - Review

C2 - 32777774

AN - SCOPUS:85089145890

VL - 23

SP - 1

EP - 16

JO - iScience

JF - iScience

SN - 2589-0042

IS - 8

M1 - 101414

ER -