Environmental factors affect population structure of tree ferns in the Brazilian subtropical Atlantic Forest

ABSTRACTTree ferns are common elements in the Atlantic Forest domain, sometimes reaching more than half of total dominance at forest sites. Just as most groups, climate change might impact the distribution and diversity of tree ferns. To investigate the extent of these impacts in the subtropical Atlantic Rainforest, we measured the changes in species distribution, α- and β-diversity between current climate and future climatic scenarios for 2050. Most tree ferns species tend to lose their distribution area. Hence, species richness tends to decrease in the future, especially in the Rainforest sites. In general, β-diversity tend to not change on the regional scale, but some sites can change its relative singularity in composition. Our results show that climate change can impact distribution and α-diversity of tree ferns, but with no trend to cause homogenization in the tree ferns of the study area. Protected Areas (PAs) in our study region manage to withhold more α-diversity than areas without PAs — the same applies to β-diversity. Our study offers a new light into the effects of climate change in tree ferns by integrating the evaluation of its impacts on distribution, α- and β-diversity in all study areas and inside PAs.

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Genetic diversity and population structure of white-lipped peccaries (Tayassu pecari) in the Pantanal, Cerrado and Atlantic Forest from Brazil

Mammalian Biology ◽

10.1016/j.mambio.2019.03.001 ◽

2019 ◽

Vol 95 ◽

pp. 85-92

Author(s):

Fernanda de Góes Maciel ◽

Danilo Aqueu Rufo ◽

Alexine Keuroghlian ◽

Anna Carolina Russo ◽

Nathalia Moreschi Brandt ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Atlantic Forest ◽

Tayassu Pecari

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Life history and ecology might explain incongruent population structure in two co-distributed montane bird species of the Atlantic Forest

Molecular Phylogenetics and Evolution ◽

10.1016/j.ympev.2020.106925 ◽

2020 ◽

Vol 153 ◽

pp. 106925

Author(s):

Tiago da Silva Ribeiro ◽

Henrique Batalha-Filho ◽

Luis Fábio Silveira ◽

Cristina Yumi Miyaki ◽

Marcos Maldonado-Coelho

Keyword(s):

Population Structure ◽

Life History ◽

Atlantic Forest ◽

Bird Species

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Reproduction and population structure of Achelous spinimanus (Crustacea: Portunoidea) in the northern coast of São Paulo, Brazil, and influence of environmental factors

Biologia ◽

10.2478/s11756-019-00399-5 ◽

2019 ◽

Vol 75 (9) ◽

pp. 1373-1383 ◽

Cited By ~ 1

Author(s):

Camila Hipolito Bernardo ◽

Veronica Pereira Bernardes ◽

Thiago Elias da Silva ◽

Aline Nonato de Sousa ◽

Fabiano Gazzi Taddei ◽

...

Keyword(s):

Population Structure ◽

Environmental Factors ◽

Sao Paulo ◽

Northern Coast ◽

São Paulo

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Erratum to: Phylogeography of the sand dune ant Mycetophylax simplex along the Brazilian Atlantic Forest coast: remarkably low mtDNA diversity and shallow population structure

BMC Evolutionary Biology ◽

10.1186/s12862-015-0444-8 ◽

2015 ◽

Vol 15 (1) ◽

Cited By ~ 2

Author(s):

Danon Clemes Cardoso ◽

Maykon Passos Cristiano ◽

Mara Garcia Tavares ◽

Christoph D. Schubart ◽

Jürgen Heinze

Keyword(s):

Population Structure ◽

Atlantic Forest ◽

Sand Dune ◽

Brazilian Atlantic Forest ◽

Mtdna Diversity ◽

Mycetophylax Simplex

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Population Transcriptomes Reveal the Interspecific Adaptive Genetic Differentiation of Liriodendron by Landscape Genetics

10.21203/rs.3.rs-62166/v1 ◽

2020 ◽

Author(s):

Yufang Shen ◽

Hui Xia ◽

Zhonghua Tu ◽

Yaxian Zong ◽

Lichun Yang ◽

...

Keyword(s):

Population Structure ◽

Environmental Factors ◽

Genetic Differentiation ◽

Ecological Niche ◽

Genetic Variations ◽

Biological Pathways ◽

Environmental Data ◽

Genomic Resources ◽

Population Structure Analysis ◽

Precipitation Seasonality

Abstract Background: Adaptive genetic differentiation is a hotspot in the research of speciation mechanisms in evolutionary biology. Genomic resources are important for detecting ecological adaptive evolution of non-model plants. Using RNA-seq for non-model plants is a good approach to obtain their genomic resources. The combination of population transcriptome resources and environmental data can provide insights into the genetic mechanism of adaptive genetic differentiation.Results: Based on the population transcriptome data, we investigated the spatial distribution of genetic variations in Liriodendron to detect relationships between ecological factors and genetic differentiation. Environmental data and genetic variations from 17 populations were integrated to detect the population structure, adaptive genes and key environmental factors that shape the population genetic structure by landscape genetic approach. Here, we identified 16592 high-quality single nucleotide polymorphisms (SNPs). The population structure analysis results showed that 17 populations were divided into three groups: L. tulipifera, eastern group and western group of L. chinense. Redundancy analysis and latent factor mixed model analysis suggested that precipitation seasonality, precipitation in the driest quarter, diurnal temperature, and solar radiation in May were closely associated with the adaptive genetic differentiation of Liriodendron. Ecological niche differentiation analysis implied significant ecological niche divergence between L. chinense and L. tulipifera habitats. In total, 858 environment-related loci were identified, which were associated with 464 genes. Pathway enrichment analysis revealed that these genes were significantly enriched in multiple biological pathways. Related studies confirmed that these biological pathways play vital roles in plant growth, development, stress, immune response and photosynthesis.Conclusions: Our research provided empirical evidence that environmental factors may play a key role in driving adaptive genetic differentiation of species. Furthermore, the combination of population transcriptome resources and environmental datasets provides new insights into the study of adaptive genetic differentiation of species.

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