RT Journal Article
SR Electronic
T1 Combining genotype, phenotype, and environmental data to delineate site-adjusted provenance strategies for ecological restoration
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2019.12.11.872747
DO 10.1101/2019.12.11.872747
A1 Carolina S. Carvalho
A1 Brenna R. Forester
A1 Simone K. Mitre
A1 Ronnie Alves
A1 Vera L. Imperatriz-Fonseca
A1 Silvio J. Ramos
A1 Luciana C. Resende-Moreira
A1 José O. Siqueira
A1 Leonardo C. Trevelin
A1 Cecilio F. Caldeira
A1 Markus Gastauer
A1 Rodolfo Jaffé
YR 2020
UL http://biorxiv.org/content/early/2020/04/24/2019.12.11.872747.abstract
AB Despite the importance of climate-adjusted provenancing to mitigate the effects of environmental change, climatic considerations alone are insufficient when restoring highly degraded sites. Here we propose a comprehensive landscape genomic approach to assist the restoration of moderately disturbed and highly degraded sites. To illustrate it we employ genomic datasets comprising thousands of single nucleotide polymorphisms from two plant species suitable for the restoration of iron-rich Amazonian Savannas. We first use a subset of neutral loci to assess genetic structure and determine the genetic neighborhood size. We then identify genotype-phenotype-environment associations, map adaptive genetic variation, and predict adaptive genotypes for restoration sites. Whereas local provenances were found optimal to restore a moderately disturbed site, a mixture of genotypes seemed the most promising strategy to recover a highly degraded mining site. We discuss how our results can help define site-adjusted provenancing strategies, and argue that our methods can be more broadly applied to assist other restoration initiatives.Competing Interest StatementThe authors have declared no competing interest.