Evidence map›Paper›PMID 40325155›Full record

ArticleHeredity2025

Local adaptation has a role in reducing vulnerability to climate change in a widespread Amazonian forest lizard.

André Yves, Josué A R Azevedo, Renata M Pirani, Fernanda P Werneck

Abstract read
In one paragraph

Article in Heredity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

André YvesPrograma de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazonia, Manaus, Brazil. andreyves7@gmail.com.ORCID 0000-0002-5292-8666
Josué A R AzevedoPrograma de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazonia, Manaus, Brazil.
Renata M PiraniEcology and Evolutionary Biology Department, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-0241-7278
Fernanda P WerneckPrograma de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazonia, Manaus, Brazil.ORCID 0000-0002-8779-2607

Funding

Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) #311504/2020-5Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) ##425571/2018-1 and #406239/2022-3Ministry of Science, Technology and Innovation | Instituto Nacional de Pesquisas da Amazônia (National Institute of Amazonian Research) 300739/2022-2
6 · The paper itself

Abstract

The extant genetic variation within and among taxa reflects a long history of diversification and adaptive mechanisms in response to climate change and landscape alterations. However, the velocity of current anthropogenic changes poses an imminent threat to global biodiversity. Understanding how species and populations might respond to global climate change provides valuable information for conservation in the face of these impacts. Here, we use genomic data to observe candidate loci under climate selection and test for genetic vulnerability to climate change in a widespread Amazonian ombrophilous lizard population. We found nine populations across Amazonia with a considerable amount of admixture among them. Distinct approaches of genome-environment association analyses revealed 56 candidate single-nucleotide polymorphisms (SNPs) under climatic selection, showing an east-west gradient in the adaptive landscape and a signal of local climate adaptation across the species range. According to our results, signals of local adaptation indicate that the species may not respond equally throughout its range, with some populations facing higher extinction risks. Genomic offset analysis predicts the southern and central portions of Amazonia to have a higher vulnerability to future climate change. Our findings highlight the importance of considering spatially explicit contexts with a large sampling coverage to evaluate how local adaptation and climatic vulnerability affect Amazonian forest ectothermic fauna.

Indexed as

Adaptation, PhysiologicalClimate ChangeGenetics, PopulationLizardsAnimalsBrazilForestsGenetic VariationPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID40325155
PMCPMC12137694

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.