ArticleEcology and evolution2019
Detecting the genetic basis of local adaptation in loblolly pine (
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 59 citations in OpenAlex.
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- Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine.Ecology and evolution · 2023Article
- The genomic and epigenetic footprint of local adaptation to variable climates in kiwifruit.Horticulture research · 2023Article
- Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herbFrontiers in genetics · 2023Article
- Population transcriptomic sequencing reveals allopatric divergence and local adaptation in Pseudotaxus chienii (Taxaceae).BMC genomics · 2021Article
- Genetic Diversity, Structure and Effective Population Size of Old-Growth vs. Second-Growth Populations of Keystone and Long-Lived Conifer, Eastern White Pine (Frontiers in genetics · 2021Article
- Extensive Variation in Drought-Induced Gene Expression Changes Between Loblolly Pine Genotypes.Frontiers in genetics · 2021Article
- Environment-Driven Adaptations of Leaf Cuticular Waxes Are Inheritable forFrontiers in plant science · 2021Article
- Breeding for Climate Change Resilience: A Case Study of Loblolly Pine (Frontiers in plant science · 2021Review
- Detecting the genetic basis of local adaptation in loblolly pine (Ecology and evolution · 2019Article
- Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments inFrontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the Southern United States, the widely distributed loblolly pine contributes greatly to lumber and pulp production, as well as providing many important ecosystem services. Climate change may affect the productivity and range of loblolly pine. Nevertheless, we have insufficient knowledge of the adaptive potential and the genetics underlying the adaptability of loblolly pine. To address this, we tested the association of 2.8 million whole exome-based single nucleotide polymorphisms (SNPs) with climate and geographic variables, including temperature, precipitation, latitude, longitude, and elevation data. Using an integrative landscape genomics approach by combining multiple environmental association and outlier detection analyses, we identified 611 SNPs associated with 56 climate and geographic variables. Longitude, maximum temperature of the warm months and monthly precipitation associated with most SNPs, indicating their importance and complexity in shaping the genetic variation in loblolly pine. Functions of candidate genes related to terpenoid synthesis, pathogen defense, transcription factors, and abiotic stress response. We provided evidence that environment-associated SNPs also composed the genetic structure of adaptive phenotypic traits including height, diameter, metabolite levels, and gene transcript abundance. Our study promotes understanding of the genetic basis of local adaptation in loblolly pine and provides promising tools for selecting genotypes adapted to local environments in a changing climate.
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