Niche theory-based modeling of assembly processes of viral communities in bats
Por:
Nieto-Rabiela, Fabiola, Rico-Chavez, Oscar, Suzan, Gerardo, Stephens, Christopher R.
Publicada:
1 jun 2021
Ahead of Print:
1 abr 2021
Resumen:
Understanding the assembly processes of symbiont communities, including
viromes and microbiomes, is important for improving predictions on
symbionts' biogeography and disease ecology. Here, we use phylogenetic,
functional, and geographic filters to predict the similarity between
symbiont communities, using as a test case the assembly process in viral
communities of Mexican bats. We construct generalized linear models to
predict viral community similarity, as measured by the Jaccard index, as
a function of differences in host phylogeny, host functionality, and
spatial co-occurrence, evaluating the models using the Akaike
information criterion. Two model classes are constructed: a ``known''
model, where virus-host relationships are based only on data reported in
Mexico, and a ``potential'' model, where viral reports of all the
Americas are used, but then applied only to bat species that are
distributed in Mexico. Although the ``known'' model shows only weak
dependence on any of the filters, the ``potential'' model highlights
the importance of all three filter types-phylogeny, functional traits,
and co-occurrence-in the assemblage of viral communities. The
differences between the ``known'' and ``potential'' models highlight
the utility of modeling at different ``scales'' so as to compare and
contrast known information at one scale to another one, where, for
example, virus information associated with bats is much scarcer.
Filiaciones:
Nieto-Rabiela, Fabiola:
Facultad de Medicina Veterinaria y Zootecnia, UNAM, Coyoacan, Mexico
Rico-Chavez, Oscar:
Facultad de Medicina Veterinaria y Zootecnia, UNAM, Coyoacan, Mexico
Suzan, Gerardo:
Facultad de Medicina Veterinaria y Zootecnia, UNAM, Coyoacan, Mexico
Stephens, Christopher R.:
C3 - Centro de Ciencias de la Complejidad, UNAM, Coyoacan, Mexico
Instituto de Ciencias Nucleares, UNAM, Coyoacan, Mexico
Gold, Green Published, Green
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