Trends in animal translocation research DOI Creative Commons
Maldwyn J. Evans, Jennifer C. Pierson, Linda E. Neaves

et al.

Ecography, Journal Year: 2023, Volume and Issue: 2023(3)

Published: Jan. 10, 2023

Translocations are an important conservation tool that enable the restoration of species and their ecological functions. They particularly during current environmental crisis. We used a combination text‐analysis tools to track history evolution peer‐reviewed scientific literature on animal translocation science. compared this corpus with research showcased in IUCNs Global Conservation Translocation Perspectives, curated collection non‐peer‐reviewed reintroduction case studies. show literature, its infancy, was dominated by charismatic species. It then grew two classical threads: management concern environment The exhibits bias towards large mammals, while these data invaluable, expansion under‐represented groups such as insects reptiles will be critical combating biodiversity loss across taxonomic groups. These biases were similar but some subtle differences. To ensure science can address global issues, we need overcome barriers restrict limited number countries.

Language: Английский

Conserving intraspecific variation for nature’s contributions to people DOI
Simone Des Roches, Linwood H. Pendleton, Beth Shapiro

et al.

Nature Ecology & Evolution, Journal Year: 2021, Volume and Issue: 5(5), P. 574 - 582

Published: March 1, 2021

Language: Английский

Citations

191
How genomics can help biodiversity conservation DOI Creative Commons
Kathrin Theißinger, Carlos Fernandes, Giulio Formenti

et al.

Trends in Genetics, Journal Year: 2023, Volume and Issue: 39(7), P. 545 - 559

Published: Feb. 16, 2023

The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches applications in conservation genomics, considering practical factors, such as cost, time, prerequisite skills, current shortcomings applications. Most perform best combination with reference genomes from target species or closely related species. We review case studies to illustrate how facilitate research across tree life. conclude that time is ripe view fundamental integrate their use a practice genomics.

Language: Английский

Citations

191
Plant adaptation to climate change—Where are we? DOI Creative Commons
Jill T. Anderson, Bao‐Hua Song

Journal of Systematics and Evolution, Journal Year: 2020, Volume and Issue: 58(5), P. 533 - 545

Published: June 18, 2020

Abstract Climate change poses critical challenges for population persistence in natural communities, agriculture and environmental sustainability, food security. In this review, we discuss recent progress climatic adaptation plants. We evaluate whether climate exerts novel selection disrupts local adaptation, gene flow can facilitate adaptive responses to change, phenotypic plasticity could sustain populations the short term. Furthermore, how influences species interactions. Through a more in‐depth understanding of these eco‐evolutionary dynamics, will increase our capacity predict potential plants under change. addition, review studies that dissect genetic basis plant Finally, highlight key research gaps, ranging from validating function elucidating molecular mechanisms, expanding systems model other species, testing fitness consequences alleles environments, designing multifactorial closely reflect complex interactive effects multiple factors. By leveraging interdisciplinary tools (e.g., cutting‐edge omics toolkits, ecological strategies, newly developed genome editing technology), researchers accurately probability persist through rapid intense period as well cultivate crops withstand conserve biodiversity systems.

Language: Английский

Citations

142
The evolutionary genomics of species’ responses to climate change DOI
Jonás A. Aguirre‐Liguori, Santiago Ramírez‐Barahona, Brandon S. Gaut

et al.

Nature Ecology & Evolution, Journal Year: 2021, Volume and Issue: 5(10), P. 1350 - 1360

Published: Aug. 9, 2021

Language: Английский

Citations

135
Prospects and limitations of genomic offset in conservation management DOI Creative Commons
Christian Rellstab, Benjamin Dauphin, Moisés Expósito‐Alonso

et al.

Evolutionary Applications, Journal Year: 2021, Volume and Issue: 14(5), P. 1202 - 1212

Published: Feb. 10, 2021

In nature conservation, there is keen interest in predicting how populations will respond to environmental changes such as climate change. These predictions can help determine whether a population be self-sustaining under future alterations of its habitat or it may require human intervention protection, restoration, assisted migration. An increasingly popular approach this respect the concept genomic offset, which combines and data from different time points and/or locations assess degree possible maladaptation new conditions. Here, we argue that offset holds great potential, but an exploration risks limitations needed use for recommendations conservation After briefly describing concept, list important issues consider (e.g., statistical frameworks, genetic structure, migration, independent evidence) when using developing these methods further. We conclude area development still lacks some features should used combination with other approaches inform measures.

Language: Английский

Citations

124
Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia DOI Creative Commons
Yupeng Sang, Zhiqin Long, Xuming Dan

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Nov. 1, 2022

Abstract Rapid global climate change is posing a substantial threat to biodiversity. The assessment of population vulnerability and adaptive capacity under crucial for informing conservation mitigation strategies. Here we generate chromosome-scale genome assembly re-sequence genomes 230 individuals collected from 24 populations Populus koreana , pioneer keystone tree species in temperate forests East Asia. We integrate genomics environmental variables reveal set climate-associated single-nucleotide polymorphisms, insertion/deletions structural variations, especially numerous non-coding variants distributed across the genome. incorporate these into an modeling scheme predict highly spatiotemporal shift this response future change. further identify most vulnerable that need priority many candidate genes may be useful forest breeding with special aims. Our findings highlight importance integrating genomic data key rapid future.

Language: Английский

Citations

70
Genomics for monitoring and understanding species responses to global climate change DOI Creative Commons
Louis Bernatchez, Anne‐Laure Ferchaud, C.S. Berger

et al.

Nature Reviews Genetics, Journal Year: 2023, Volume and Issue: 25(3), P. 165 - 183

Published: Oct. 20, 2023

All life forms across the globe are experiencing drastic changes in environmental conditions as a result of global climate change. These happening rapidly, incur substantial socioeconomic costs, pose threats to biodiversity and diminish species' potential adapt future environments. Understanding monitoring how organisms respond human-driven change is therefore major priority for conservation rapidly changing environment. Recent developments genomic, transcriptomic epigenomic technologies enabling unprecedented insights into evolutionary processes molecular bases adaptation. This Review summarizes methods that apply integrate omics tools experimentally investigate, monitor predict species communities wild cope with change, which by genetically adapting new conditions, through range shifts or phenotypic plasticity. We identify advantages limitations each method discuss research avenues would improve our understanding responses highlighting need holistic, multi-omics approaches ecosystem during Species can shifting their these responses.

Language: Английский

Citations

66
Molecular mechanisms of adaptive evolution in wild animals and plants DOI Open Access
Yibo Hu, Xiaoping Wang, Yong‐Chao Xu

et al.

Science China Life Sciences, Journal Year: 2023, Volume and Issue: 66(3), P. 453 - 495

Published: Jan. 13, 2023

Language: Английский

Citations

54
The paradox of adaptive trait clines with nonclinal patterns in the underlying genes DOI Creative Commons
Katie E. Lotterhos

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(12)

Published: March 14, 2023

Multivariate climate change presents an urgent need to understand how species adapt complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led the wide use of genotype–environment associations (GEAs). This study used a set simulations elucidate conditions are more or less likely evolve as multiple quantitative traits multivariate Phenotypic evolved nonmonotonic (i.e., nonclinal) patterns in frequencies promoted unique combinations mutations achieve optimum different parts landscape. Such resulted from interactions among landscape, demography, pleiotropy, and architecture. GEA methods failed accurately infer basis adaptation range scenarios due first principles (clinal did not evolve) statistical issues but were detected overcorrection for structure). Despite limitations GEAs, this shows back-transformation ordination can predict individual genotype environmental data regardless whether inference GEAs was accurate. In addition, frameworks introduced be by empiricists quantify importance clinal alleles adaptation. research highlights trait prediction lead accurate underlying display patterns.

Language: Английский

Citations

47
How useful is genomic data for predicting maladaptation to future climate? DOI Creative Commons
Brandon M. Lind, Rafael Candido‐Ribeiro, Pooja Singh

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(4)

Published: April 1, 2024

Abstract Methods using genomic information to forecast potential population maladaptation climate change or new environments are becoming increasingly common, yet the lack of model validation poses serious hurdles toward their incorporation into management and policy. Here, we compare estimates derived from two methods—Gradient Forests (GF offset ) risk non‐adaptedness (RONA)—using exome capture pool‐seq data 35 39 populations across three conifer taxa: Douglas‐fir varieties jack pine. We evaluate sensitivity these algorithms source input loci (markers selected genotype–environment associations [GEA] those at random). validate methods against 2‐ 52‐year growth mortality measured in independent transplant experiments. Overall, find that both often better predict performance than climatic geographic distances. also GF RONA models surprisingly not improved GEA candidates. Even with promising results, variation projections future climates makes it difficult identify most maladapted either method. Our work advances understanding applicability approaches, discuss recommendations for use.

Language: Английский

Citations

26