10.5061/DRYAD.4QRFJ6Q7J
Perez, Manolo
0000-0002-4642-7793
Federal University of São Carlos
Oliveira, Ezequiel
Federal University of São Carlos
Bertollo, Luiz
Federal University of São Carlos
Gestich, Carla
Federal University of São Carlos
Rab, Petr
Institute of Animal Physiology and Genetics
Ezaz, Tariq
University of Canberra
Souza, Fernando
Federal University of São Carlos
Viana, Patrik
National Institute of Amazonian Research
Feldberg, Eliana
National Institute of Amazonian Research
de Oliveira, Edivaldo Herculano Correa
Instituto Evandro Chagas
Cioffi, Marcelo
Federal University of São Carlos
Data from: Historical demography and climate driven distributional changes
in a widespread Neotropical freshwater species with high economic
importance
Dryad
dataset
2020
Neotropical diversity
DArTseq
São Paulo Research Foundation
https://ror.org/02ddkpn78
2017/10240-0
São Paulo Research Foundation
https://ror.org/02ddkpn78
2018/22033-1
National Council for Scientific and Technological Development
https://ror.org/03swz6y49
302449/2018-3
Alexander von Humboldt Foundation
https://ror.org/012kf4317
88881.136128/2017-01
Technology Agency of the Czech Republic
https://ror.org/04v0fk911
CZ.02.1.01/0.0/0.0/15_003/0000460 OP RDE
Coordenação de Aperfeicoamento de Pessoal de Nível Superior
https://ror.org/00x0ma614
001
2020-06-03T00:00:00Z
2020-06-03T00:00:00Z
en
1984866 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The Neotropical region exhibits the greatest worldwide diversity and the
diversification history of several clades is related to the puzzling
geomorphologic and climatic history of this region. The freshwater Amazon
ecoregion contains the main hydrographic basins of the Neotropical region
that are highly dendritic and ecologically diverse. It contains a rich and
endemic fish fauna, including one of its most iconic and economically
important representatives, the bony-tongue Arapaima gigas (Teleostei,
Osteoglossiformes). Here, we evaluated the projected distribution of the
genus in different historical periods (Present, Last Glacial Maximum, Last
Interglacial Maximum and Near Future) and interpreted these results in
light of the genomic diversity and modeled historical demography. For
that, we combined species distribution models, population genetic analysis
using SNPs and deep learning model selection. We analyzed a representative
sample of the genus from the two basins where it naturally occurs, four
localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar)
basin, as well as individuals from three fish farms. We inferred a
potentially smaller distribution in the glacial period, with a possible
refuge in central Am. Our genetic data agrees with this result, suggesting
a higher level of genetic diversity in the Am basin, compared to that
observed in To-Ar. Our deep learning model comparison indicated that the
To-Ar basin was colonized by the population from the Am basin. Considering
a global warming scenario in the near future, A. gigas could reach an even
larger range, especially if anthropogenic related dispersal occurs,
potentially invading new areas and impacting their communities.