scholarly journals Intraspecific genetic variation matters when predicting seagrass distribution under climate change

2021 ◽  
Author(s):  
Zi‐Min Hu ◽  
Quan‐Sheng Zhang ◽  
Jie Zhang ◽  
Jamie M. Kass ◽  
Stefano Mammola ◽  
...  
Keyword(s):  
Climate Change ◽  
Genetic Variation ◽  
Intraspecific Genetic Variation

scholarly journals Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections

2019 ◽  
Vol 116 (21) ◽  
pp. 10418-10423 ◽  
Author(s):  
Orly Razgour ◽  
Brenna Forester ◽  
John B. Taggart ◽  
Michaël Bekaert ◽  
Javier Juste ◽  
...  
Keyword(s):  
Climate Change ◽  
Genetic Variation ◽  
Environmental Changes ◽  
Landscape Connectivity ◽  
Future Climate ◽  
Future Climate Change ◽  
Adaptive Genetic Variation ◽  
Climate Change Vulnerability ◽  
Species Vulnerability ◽  
Evolutionary Rescue

Local adaptations can determine the potential of populations to respond to environmental changes, yet adaptive genetic variation is commonly ignored in models forecasting species vulnerability and biogeographical shifts under future climate change. Here we integrate genomic and ecological modeling approaches to identify genetic adaptations associated with climate in two cryptic forest bats. We then incorporate this information directly into forecasts of range changes under future climate change and assessment of population persistence through the spread of climate-adaptive genetic variation (evolutionary rescue potential). Considering climate-adaptive potential reduced range loss projections, suggesting that failure to account for intraspecific variability can result in overestimation of future losses. On the other hand, range overlap between species was projected to increase, indicating that interspecific competition is likely to play an important role in limiting species’ future ranges. We show that although evolutionary rescue is possible, it depends on a population’s adaptive capacity and connectivity. Hence, we stress the importance of incorporating genomic data and landscape connectivity in climate change vulnerability assessments and conservation management.

scholarly journals Predicting Adaptive Genetic Variation of Loblolly Pine (Pinus taeda L.) Populations Under Projected Future Climates Based on Multivariate Models

2019 ◽  
Vol 110 (7) ◽  
pp. 857-865 ◽  
Author(s):  
Mengmeng Lu ◽  
Konstantin V Krutovsky ◽  
Carol A Loopstra
Keyword(s):  
Climate Change ◽  
South Carolina ◽  
Genetic Variation ◽  
Loblolly Pine ◽  
Greenhouse Gas Emission ◽  
Isolation By Distance ◽  
Adaptive Genetic Variation ◽  
Climate Conditions ◽  
Geographical Regions ◽  
Bioclimatic Variables

Abstract Greenhouse gas emission and global warming are likely to cause rapid climate change within the natural range of loblolly pine over the next few decades, thus bringing uncertainty to their adaptation to the environment. Here, we studied adaptive genetic variation of loblolly pine and correlated genetic variation with bioclimatic variables using multivariate modeling methods—Redundancy Analysis, Generalized Dissimilarity Modeling, and Gradient Forests. Studied trees (N = 299) were originally sampled from their native range across eight states on the east side of the Mississippi River. Genetic variation was calculated using a total of 44,317 single-nucleotide polymorphisms acquired by exome target sequencing. The fitted models were used to predict the adaptive genetic variation on a large spatial and temporal scale. We observed east-to-west spatial genetic variation across the range, which presented evidence of isolation by distance. Different key factors drive adaptation of loblolly pine from different geographical regions. Trees residing near the northeastern edge of the range, spanning across Delaware and Maryland and mountainous areas of  Virginia, North Carolina, South Carolina, and northern Georgia, were identified to be most likely impacted by climate change based on the large difference in genetic composition under current and future climate conditions. This study provides new perspectives on adaptive genetic variation of loblolly pine in response to different climate scenarios, and the results can be used to target particular populations while developing adaptive forest management guidelines.

Soybean intraspecific genetic variation in response to elevated CO2

2019 ◽  
Vol 65 (12) ◽  
pp. 1733-1744 ◽  
Author(s):  
Li ◽  
Yu ◽  
Yang ◽  
Jin ◽  
Wang ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Elevated Co2 ◽  
Intraspecific Genetic Variation

scholarly journals Genetic specificity of a plant–insect food web: Implications for linking genetic variation to network complexity

2016 ◽  
Vol 113 (8) ◽  
pp. 2128-2133 ◽  
Author(s):  
Matthew A. Barbour ◽  
Miguel A. Fortuna ◽  
Jordi Bascompte ◽  
Joshua R. Nicholson ◽  
Riitta Julkunen-Tiitto ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Food Web ◽  
Host Plant ◽  
Trophic Interactions ◽  
Common Garden ◽  
Ecological Networks ◽  
Experimental Population ◽  
Trait Variation ◽  
Intraspecific Genetic Variation ◽  
Food Web Complexity

Theory predicts that intraspecific genetic variation can increase the complexity of an ecological network. To date, however, we are lacking empirical knowledge of the extent to which genetic variation determines the assembly of ecological networks, as well as how the gain or loss of genetic variation will affect network structure. To address this knowledge gap, we used a common garden experiment to quantify the extent to which heritable trait variation in a host plant determines the assembly of its associated insect food web (network of trophic interactions). We then used a resampling procedure to simulate the additive effects of genetic variation on overall food-web complexity. We found that trait variation among host-plant genotypes was associated with resistance to insect herbivores, which indirectly affected interactions between herbivores and their insect parasitoids. Direct and indirect genetic effects resulted in distinct compositions of trophic interactions associated with each host-plant genotype. Moreover, our simulations suggest that food-web complexity would increase by 20% over the range of genetic variation in the experimental population of host plants. Taken together, our results indicate that intraspecific genetic variation can play a key role in structuring ecological networks, which may in turn affect network persistence.

Author response for "Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps"

2020 ◽  
Author(s):  
Thibaut Capblancq ◽  
Xavier Morin ◽  
Maya Gueguen ◽  
Julien Renaud ◽  
Stéphane Lobreaux ◽  
...  
Keyword(s):  
Climate Change ◽  
Genetic Variation ◽  
Fagus Sylvatica ◽  
Author Response ◽  
French Alps

scholarly journals Intraspecific genetic variation in complex assemblages from mitochondrial metagenomics: comparison with DNA barcodes

2016 ◽  
Vol 8 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Carola Gómez‐Rodríguez ◽  
Martijn J. T. N. Timmermans ◽  
Alex Crampton‐Platt ◽  
Alfried P. Vogler
Keyword(s):  
Genetic Variation ◽  
Dna Barcodes ◽  
Intraspecific Genetic Variation
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