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Peer-reviewedCC BYEvolutionary applications

Influence of Mating Systems, Contemporary Niches, and Historical Demography on the Genetic Patterns of Flagship Plants From the Amazonian Cangas.

  • Bárbara Simões Santos Leal1,2,3
  • Jacqueline Souza Lima1,4
  • Lucas Erickson Nascimento da Costa1
  • Carlos Eduardo Araújo Batista1
  • Ana Carolina Galindo da Costa1
  • Adriano Valentin-Silva1,5
  • Raquel Bezerra Chiavegatto1
  • André Luiz de Rezende Cardoso6
  • Lourival Tyski7
  • Maurício Takashi Coutinho Watanabe1,8
  • Valéria da Cunha Tavares1,2,9
  • Carolina da Silva Carvalho1,8
9 affiliations
  1. 1Instituto Tecnológico Vale - ITV Belém Pará Brazil.
  2. 2Programa de Pós-graduação em Biodiversidade e Evolução Museu Paraense Emílio Goeldi Belém Pará Brazil.
  3. 3Coordenação de Botânica Museu Paraense Emílio Goeldi Belém Pará Brazil.
  4. 4Centro Nacional de Conservação da Flora - CNCFlora Instituto de Pesquisas Jardim Botânico do Rio de Janeiro Rio de Janeiro Brazil.
  5. 5Instituto de Estudos do Xingu, Universidade Federal do Sul e Sudeste do Pará São Félix do Xingu Pará Brazil.
  6. 6Gerência de Recursos Naturais e Áreas Protegidas - Reserva Natural Vale Linhares Espirito Santo Brazil.
  7. 7Bioparque Vale Amazônia Núcleo Urbano de Carajás Parauapebas Pará Brazil.
  8. 8Mestrado Profissional em Uso Sustentável dos Recursos Naturais em Regiões Tropicais Instituto Tecnológico Vale - ITV Belém Pará Brazil.
  9. 9Programa de Pós-Graduação em Ciências Biológicas, Departamento de Sistemática e Ecologia Universidade Federal da Paraíba João Pessoa Paraíba Brazil.
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Abstract

Genetic diversity is shaped by multiple factors, including life-history traits, contemporary range distributions, niche constraints, and historical demography. The interplay of these drivers remains largely unexplored, particularly at scales proven to be relevant to conservation management of tropical biodiversity hotspots. Here, we investigate the relative contribution of each of these factors in shaping the current patterns of genetic diversity of 13 plant species occurring in Carajás, Southeastern Amazon, Brazil. We further test whether species associated with iron-rich substrates in Carajás, known as cangas, share a common demographic history despite their differences in life-history traits, distributions, and niches. We found that inbreeding levels are likely determined by mating systems, while both observed and expected heterozygosity were negatively associated with niche marginality. Surprisingly, distribution range and niche breadth had no effects on genetic parameters, likely due to the absence of correlations with ecological specialization. Demographic reconstructions revealed a lack of synchronous population histories across co-distributed cangas plants, which likely reflects variation in the diversified life-history traits affecting the timing of their responses to past climatic changes. Our results offer valuable insights into future demographic trends of cangas-associated species, refining predictions on the fate of species in the face of anthropogenic pressures such as habitat loss and climate change. Our data further contribute to subsidizing analyses to determine priority areas and species for conservation.

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Cite

BibTeXRIS
BibTeX
@article{leal2026influence,
  title = {{Influence of Mating Systems, Contemporary Niches, and Historical Demography on the Genetic Patterns of Flagship Plants From the Amazonian Cangas.}},
  author = {Bárbara Simões Santos Leal and Jacqueline Souza Lima and Lucas Erickson Nascimento da Costa and Carlos Eduardo Araújo Batista and Ana Carolina Galindo da Costa and Adriano Valentin-Silva and Raquel Bezerra Chiavegatto and André Luiz de Rezende Cardoso and Lourival Tyski and Maurício Takashi Coutinho Watanabe and Valéria da Cunha Tavares and Carolina da Silva Carvalho},
  journal = {Evolutionary applications},
  year = {2026},
  month = oct,
  doi = {10.1111/eva.70325},
  url = {https://europepmc.org/article/MED/42926905},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Influence of Mating Systems, Contemporary Niches, and Historical Demography on the Genetic Patterns of Flagship Plants From the Amazonian Cangas.
AU  - Bárbara Simões Santos Leal
AU  - Jacqueline Souza Lima
AU  - Lucas Erickson Nascimento da Costa
AU  - Carlos Eduardo Araújo Batista
AU  - Ana Carolina Galindo da Costa
AU  - Adriano Valentin-Silva
AU  - Raquel Bezerra Chiavegatto
AU  - André Luiz de Rezende Cardoso
AU  - Lourival Tyski
AU  - Maurício Takashi Coutinho Watanabe
AU  - Valéria da Cunha Tavares
AU  - Carolina da Silva Carvalho
PY  - 2026
DA  - 2026/10/24
JO  - Evolutionary applications
DO  - 10.1111/eva.70325
UR  - https://europepmc.org/article/MED/42926905
AB  - Genetic diversity is shaped by multiple factors, including life-history traits, contemporary range distributions, niche constraints, and historical demography. The interplay of these drivers remains largely unexplored, particularly at scales proven to be relevant to conservation management of tropical biodiversity hotspots. Here, we investigate the relative contribution of each of these factors in shaping the current patterns of genetic diversity of 13 plant species occurring in Carajás, Southeastern Amazon, Brazil. We further test whether species associated with iron-rich substrates in Carajás, known as cangas, share a common demographic history despite their differences in life-history traits, distributions, and niches. We found that inbreeding levels are likely determined by mating systems, while both observed and expected heterozygosity were negatively associated with niche marginality. Surprisingly, distribution range and niche breadth had no effects on genetic parameters, likely due to the absence of correlations with ecological specialization. Demographic reconstructions revealed a lack of synchronous population histories across co-distributed cangas plants, which likely reflects variation in the diversified life-history traits affecting the timing of their responses to past climatic changes. Our results offer valuable insights into future demographic trends of cangas-associated species, refining predictions on the fate of species in the face of anthropogenic pressures such as habitat loss and climate change. Our data further contribute to subsidizing analyses to determine priority areas and species for conservation.
SN  - 1752-4571
ER  -