Incorporating Genetic Diversity to Optimize the Plant Conservation Network in the Third Pole

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

Climate change poses a significant threat to the survival of many species. Although protected areas can slow down biodiversity loss, they often lack systematic planning and do not integrate genetic diversity. Genetic diversity is key prerequisite for species ability tolerate new conditions. Using population distribution data from 96 plant in Third Pole (encompassing Tibetan Plateau adjacent mountains), we mapped patterns diversity, projected climate-driven range dynamics future erosion, designed an optimal conservation framework region. We identified several patches high haplotype (HD), with relatively number haplotypes southeastern Pole. Regression models revealed that climate topography have interacted shape latitude precipitation being best predictors HD cpDNA nrDNA, respectively. Ecological niche modeling predicted approximate 43 km northwestward 86 m upward shift suitable habitats under scenarios, likely leading loss up 13.19% 15.49% nrDNA Alarmingly, 71.20% newly priority fall outside existing planned National Park Clusters. Therefore, recommend expanding network by 2.02 × 105 km2 (5.91%) Pole, increasing total conserved area 1.36 106 (39.93%) effectively preserve evolutionary potential plants. This study represents innovative attempt incorporate into efforts.

Language: Английский

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Intraspecific variation in tolerance of warming in fishes

Journal of Fish Biology, Journal Year: 2020, Volume and Issue: 98(6), P. 1536 - 1555

Published: Nov. 20, 2020

Abstract Intraspecific variation in key traits such as tolerance of warming can have profound effects on ecological and evolutionary processes, notably responses to climate change. The empirical evidence for three primary elements intraspecific fishes is reviewed. first purely mechanistic that varies across life stages become mature. limited indicates strongly this the case, possibly because universal physiological principles. second phenotypic plasticity, also a phenomenon buffers individuals’ sensitivity negative impacts global their lifetime, or some extent through epigenetic over successive generations. Although plasticity extensive, more work required understand underlying mechanisms reveal whether there are general patterns. third element based heritable genetic differences tolerance, which underlies local adaptation may define long‐term adaptability species face ongoing There clear heritability warming, but knowledge base with detailed information only few model emblematic species. strong structured within species, significance irrespective it reflects adaptation. overwhelming consensus having broader should reduce vulnerability no sufficient data provide insights into particular by occur.

Language: Английский

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Evolutionary origins of genomic adaptations in an invasive copepod

Nature Ecology & Evolution, Journal Year: 2020, Volume and Issue: 4(8), P. 1084 - 1094

Published: June 22, 2020

Language: Английский

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From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe

Sustainability, Journal Year: 2020, Volume and Issue: 12(11), P. 4508 - 4508

Published: June 2, 2020

Biological invasions represent some of the most severe threats to local communities and ecosystems. Among invasive species, vector-borne pathogen Xylella fastidiosa is responsible for a wide variety plant diseases has profound environmental, social economic impacts. Once restricted Americas, it recently invaded Europe, where multiple dramatic outbreaks have highlighted critical challenges its management. Here, we review recent advances on identification, distribution management X. insect vectors in Europe through genetic spatial ecology methodologies. We underline important theoretical technological gaps that remain be bridged. Challenges future research directions are discussed light improving our understanding this host–pathogen interactions. highlight need including different, complimentary outlooks integrated frameworks substantially improve knowledge processes optimize resources allocation. provide an overview genetic, approaches will aid successful sustainable one dangerous European agriculture

Language: Английский

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How will mosquitoes adapt to climate warming?

eLife, Journal Year: 2021, Volume and Issue: 10

Published: Aug. 17, 2021

The potential for adaptive evolution to enable species persistence under a changing climate is one of the most important questions understanding impacts future change. Climate adaptation may be particularly likely short-lived ectotherms, including many pest, pathogen, and vector species. For these taxa, estimating critical accurate predictive modeling public health preparedness. Here, we demonstrate how simple theoretical framework used in conservation biology-evolutionary rescue models-can investigate using mosquito thermal as focal case. Synthesizing current evidence, find that short generation times, high population growth rates, strong temperature-imposed selection favor adaptation. However, knowledge gaps about extent phenotypic genotypic variation tolerance within populations, environmental sensitivity selection, role plasticity constrain our ability make more precise estimates. We describe common garden experiments can fill data gaps. Lastly, consequences on disease transmission Aedes aegypti-transmitted dengue virus Northern Brazil case study. approach outlined here applied any or pest type

Language: Английский

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LEA 3: Factor models in population genetics and ecological genomics with R

Molecular Ecology Resources, Journal Year: 2021, Volume and Issue: 21(8), P. 2738 - 2748

Published: Feb. 27, 2021

Abstract A major objective of evolutionary biology is to understand the processes by which organisms have adapted various environments, and predict response new or future conditions. The availability large genomic environmental data sets provides an opportunity address those questions, R package LEA has been introduced facilitate population ecological analyses in this context. By using latent factor models, program computes ancestry coefficients from genetic performs genotype–environment association with correction for unobserved confounding variables. In study, we present functionalities LEA, include imputation missing genotypes, fast algorithms mixed models multivariate predictors studies, differentiation tests admixed continuous populations, estimation offset based on climate models. are implemented version 3.1 higher releases package. Using simulated real sets, our study evaluations examples applications, outlining important practical considerations when analysing .

Language: Английский

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eDNA in subterranean ecosystems: Applications, technical aspects, and future prospects

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 820, P. 153223 - 153223

Published: Jan. 19, 2022

Monitoring of biota is pivotal for the assessment and conservation ecosystems. Environments worldwide are being continuously increasingly exposed to multiple adverse impacts, accuracy reliability biomonitoring tools that can be employed shape not only present, but more importantly, future entire habitats. The analysis environmental DNA (eDNA) metabarcoding data provides a quick, affordable, reliable molecular approach biodiversity assessments. However, while extensively in aquatic terrestrial surface environments, eDNA-based studies targeting subterranean ecosystems still uncommon due lack accessibility cryptic nature these environments their species. Recent advances genetic genomic analyses have established promising framework shedding new light on ecology. To address current knowledge use eDNA methods groundwaters caves, this review explores conceptual technical aspects application its potential systems. We briefly introduce describe most used traditional sampling techniques. Next, characteristics, application, limitations subsurface environment outlined. Last, we provide suggestions how overcome caveats delineate some research avenues will likely field near future. advocate analyses, when carefully conducted ideally combined with conventional techniques, substantially increase understanding enable crucial expansion community characterisation. Given importance groundwater cave humans, bring essential insights, such as study ecosystem assemblages rare species detection, which critical preservation life below, well above, ground.

Language: Английский

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Seeing the forest for the trees: Assessing genetic offset predictions from gradient forest

Evolutionary Applications, Journal Year: 2022, Volume and Issue: 15(3), P. 403 - 416

Published: Feb. 4, 2022

Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of biodiversity as function environmental gradients. An offset measure between the GF-predicted association adapted alleles and new environment (GF Offset) increasingly being used predict loss environmentally under rapid change, but remains mostly untested for this purpose. Here, we explore robustness GF Offset assumption violations, its relationship measures fitness, using SLiM simulations with explicit genome architecture metapopulation. We evaluate in: (1) neutral model no adaptation; (2) monogenic "population genetic" single locus; (3) polygenic "quantitative two adaptive traits, each adapting different environment. found be broadly correlated fitness offsets both locus architectures. However, demography, genomic architecture, nature can all confound relationships fitness. promising tool, it important understand limitations underlying assumptions, especially when in context predicting maladaptation.

Language: Английский

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Biodiversity, climate change, and adaptation in the Mediterranean

Ecosphere, Journal Year: 2022, Volume and Issue: 13(4)

Published: April 1, 2022

Abstract Potential for, and limits to, adaptation to environmental changes are critical for resilience risk mitigation. The Mediterranean basin is a mosaic of biodiversity‐rich ecosystems long affected by human influence, whose now questioned climate change. After reviewing the different components biological adaptation, we present main characteristics marine terrestrial biodiversity in pressures they face. Taking climatic trends into consideration, discuss adaptive potential range dominated species without active dispersal. We argue that high heterogeneity landscapes seascapes constitutes laboratory study when conditions change rapidly may provide opportunities adaptability ecosystems. Adaptive management can should harness nature‐based solutions offered both ecological evolutionary processes increasing

Language: Английский

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Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource

Molecular Biology and Evolution, Journal Year: 2021, Volume and Issue: 38(12), P. 5782 - 5805

Published: Sept. 1, 2021

Abstract Drosophila melanogaster is a leading model in population genetics and genomics, growing number of whole-genome data sets from natural populations this species have been published over the last years. A major challenge integration disparate sets, often generated using different sequencing technologies bioinformatic pipelines, which hampers our ability to address questions about evolution species. Here we these issues by developing bioinformatics pipeline that maps pooled (Pool-Seq) reads D. hologenome consisting fly symbiont genomes estimates allele frequencies either heuristic (PoolSNP) or probabilistic variant caller (SNAPE-pooled). We use generate largest repository genomic available for date, encompassing 271 previously unpublished samples 100 locations >20 countries on four continents. Several sampled at seasons across multiple This set, call Evolution Space Time (DEST), coupled with sampling environmental metadata. web-based genome browser web portal provide easy access SNP set. further guidelines how Pool-Seq model-based demographic inference. Our aim scalable platform as community resource can be easily extended via future efforts an even more extensive cosmopolitan will enable geneticists analyze spatiotemporal genetic patterns evolutionary dynamics unprecedented detail.

Language: Английский

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