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 -