TY - JOUR
T1 - Non-random patterns in viral diversity
AU - Anthony, Simon J.
AU - Islam, Ariful
AU - Johnson, Christine K
AU - Navarrete-Macias, Isamara
AU - Liang, Eliza
AU - Jain, Komal
AU - Hitchens, Peta L.
AU - Che, Xiaoyu
AU - Soloyvov, Alexander
AU - Hicks, Allison L.
AU - Ojeda-Flores, Rafael
AU - Zambrana-Torrelio, Carlos
AU - Ulrich, Werner
AU - Rostal, Melinda K.
AU - Petrosov, Alexandra
AU - Garcia, Joel
AU - Haider, Najmul
AU - Wolfe, Nathan
AU - Goldstein, Tracey
AU - Morse, Stephen S.
AU - Rahman, Mahmudur
AU - Epstein, Jonathan H.
AU - Mazet, Jonna A
AU - Daszak, Peter
AU - Lipkin, W. Ian
PY - 2015/9/22
Y1 - 2015/9/22
N2 - It is currently unclear whether changes in viral communities will ever be predictable. Here we investigate whether viral communities in wildlife are inherently structured (inferring predictability) by looking at whether communities are assembled through deterministic (often predictable) or stochastic (not predictable) processes. We sample macaque faeces across nine sites in Bangladesh and use consensus PCR and sequencing to discover 184 viruses from 14 viral families. We then use network modelling and statistical null-hypothesis testing to show the presence of non-random deterministic patterns at different scales, between sites and within individuals. We show that the effects of determinism are not absolute however, as stochastic patterns are also observed. In showing that determinism is an important process in viral community assembly we conclude that it should be possible to forecast changes to some portion of a viral community, however there will always be some portion for which prediction will be unlikely.
AB - It is currently unclear whether changes in viral communities will ever be predictable. Here we investigate whether viral communities in wildlife are inherently structured (inferring predictability) by looking at whether communities are assembled through deterministic (often predictable) or stochastic (not predictable) processes. We sample macaque faeces across nine sites in Bangladesh and use consensus PCR and sequencing to discover 184 viruses from 14 viral families. We then use network modelling and statistical null-hypothesis testing to show the presence of non-random deterministic patterns at different scales, between sites and within individuals. We show that the effects of determinism are not absolute however, as stochastic patterns are also observed. In showing that determinism is an important process in viral community assembly we conclude that it should be possible to forecast changes to some portion of a viral community, however there will always be some portion for which prediction will be unlikely.
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U2 - 10.1038/ncomms9147
DO - 10.1038/ncomms9147
M3 - Article
C2 - 26391192
AN - SCOPUS:84942342667
VL - 6
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
M1 - 8147
ER -