Evidence map›Paper›PMID 40057468›Full record

ArticleAnnals of botany2026

Genetic-based conservation status indicators applied to endemics with restricted distributions: a case for eastern Amazonian cangas plants.

Bárbara Simões Santos Leal, Valéria da Cunha Tavares, Maurício Takashi Coutinho Watanabe, André Luiz de Rezende Cardoso, Lourival Tyski, Alessandro Alves-Pereira, Jeronymo Dalapicolla, Guilherme Oliveira, Carolina da Silva Carvalho

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Article in Annals of botany, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Bárbara Simões Santos LealInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.
Valéria da Cunha TavaresInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.
Maurício Takashi Coutinho WatanabeInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.
André Luiz de Rezende CardosoBioparque Vale Amazônia, Núcleo Urbano de Carajás, CEP 68516-000, Parauapebas, Pará, Brazil.
Lourival TyskiBioparque Vale Amazônia, Núcleo Urbano de Carajás, CEP 68516-000, Parauapebas, Pará, Brazil.
Alessandro Alves-PereiraInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.
Jeronymo DalapicollaInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.ORCID 0000-0002-4819-9720
Guilherme OliveiraInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.
Carolina da Silva CarvalhoInstituto Tecnológico Vale (ITV), CEP 66055-090, Belém, Pará, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCritical analyses of genetic data are essential to assessing the conservation status of populations and species and establishing strategies for their protection, which include best monitoring and management practices. This is especially crucial for endemic species with restricted distribution ranges.

methodsWe used genomic data to evaluate the efficacy of Kunming-Montreal Global Biodiversity Framework (GBF) genetic indicators in assessing the conservation status of three endemic plants to the ironstone outcrops (cangas) from the Amazon: Carajasia cangae, Parapiqueria cavalcantei and Ipomoea cavalcantei. We also simulated population bottlenecks to estimate potential effects of future habitat fragmentation. KEY

resultsCarajasia cangae and P. cavalcantei exhibited low effective population sizes (NE), low genetic diversity and high inbreeding. Simulations indicated a decrease in genetic diversity and an increase in inbreeding within decades triggered by NE decline. Conversely, I. cavalcantei retains larger NE, greater genetic diversity and low inbreeding, and it demands attention relative to the maintenance of the two genetically distinct populations. Parameters estimated for C. cangae and P. cavalcantei are likely to reflect their higher self-reproduction rates, as opposed to I. cavalcantei, which is self-incompatible. We highlight some problems regarding the application of GBF genetic indicators to predominantly selfing species, such as the fact that their ratio of effective to census population size is far lower than 10 % (the usual threshold to obtain NE when genetic data are unavailable), and their NE often falls below the threshold of 500 to maintain the species long-term evolutionary potential.

conclusionsWe suggest that the reproductive system of endemic plants should be considered to refine guidelines and improve the application of genetic indicators, such as a more appropriate minimum NE and group-specific ratios of effective to census population size. Applying these constraints to GBF indicators might also be appropriate to other organisms with similar biology, independent of their levels of endemism.

Indexed as

Conservation of Natural ResourcesGenetic VariationIpomoeaRubiaceaeBiodiversityEcosystemInbreedingPopulation DensityAsteraceaeCangasconservation geneticsConvolvulaceaeessential biodiversity variablesironstone outcropsmicroendemismreduced-representation sequencingRubiaceae

Identifiers

PMID40057468
PMCPMC13409320

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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 OpenQuestion graph.