Predicting species invasiveness with genomic data: is Genomic Offset related to establishment probability?

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 21, 2024

Abstract Predicting the risk of establishment and spread populations outside their native range represents a major challenge in evolutionary biology. Various methods have recently been developed to estimate population (mal)adaptation new environment with genomic data via so-called Genomic Offset (GO) statistics. These approaches are particularly promising for studying invasive species, but still rarely used this context. Here, we evaluated relationship between GO estab-lishment probability using both silico empirical data. First, designed invasion simulations evaluate ability predict two computation (Geometric Gradient Forest) under several conditions. Additionally, aimed interpretability absolute Geometric values, which the-oretically represent adaptive genetic distance from distinct environments. Second, utilizing public real crop pest species Bactrocera tryoni , fruit fly Northern Australia, computed “source” diverse locations within invaded areas. This practical application context biological underscores its potential providing insights guiding recommendations future assessment. Overall, our results suggest that statistics good predictors may thus inform risk, although influence factors on prediction performance (e.g. propagule pressure or admixture) will need further investigation.

Language: Английский

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Assessing the Impacts of Adaptation to Native‐Range Habitats and Contemporary Founder Effects on Genetic Diversity in an Invasive Fish

Evolutionary Applications, Journal Year: 2024, Volume and Issue: 17(10)

Published: Oct. 1, 2024

ABSTRACT Species invading non‐native habitats can cause irreversible environmental damage and economic harm. Yet, how introduced species become widespread invaders remains poorly understood. Adaptation within native‐range rapid adaptation to new environments may both influence invasion success. Here, we examine these hypotheses using 7058 SNPs from 36 native, 40 19 farmed populations of tench, a fish native Eurasia. We examined genetic structure among accounted for long‐term evolutionary history the range assess whether exhibited lower diversity than populations. Subsequent infer genotype–environment correlations habitats, assessed have shaped success some At broad scale, two glacial refugia contributed ancestry genomic tench. However, admixed origin up 10‐fold more (i.e., observed heterozygosity, expected heterozygosity allelic richness) compared with predominantly single‐source ancestry. The effects introduction location were also apparent as fewer private alleles (mean = 9.9 18.9 in populations, respectively) higher population‐specific Fst highlighting their distinctiveness relative pool frequencies across tench Finally, varying levels variation similar compositions established persisted under strikingly different climatic ecological conditions. Our results suggest that lack prior low not consistently hinder demonstrated ability expand range.

Language: Английский

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Can We Use Genomic Data to Predict Maladaptation to Environmental Change?

Molecular Ecology Resources, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

Climate change is happening fast, maybe too fast for some species and populations to adapt in time. Therefore, practice science are highly interested predicting how may react future changes. Such information could be used identify at risk or sources assisted gene flow. Ideally, such predictions account intraspecific genetic variation adaptation. A promising approach genomic offset, which aims the disruption adaptation arising from environmental change. In this issue of Molecular Ecology Resources, Lind Lotterhos (2024) perform an enormous simulation effort test performance offset under various evolutionary ecological settings. They show that a valuable fitness changed environments, but can reduced certain conditions, especially novel environments.

Language: Английский

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Niche modelling suggests low feasibility of assisted gene flow for a Neogene relict tree, Castanea sativa Mill.

Dendrobiology, Journal Year: 2023, Volume and Issue: 90, P. 58 - 75

Published: Oct. 11, 2023

Abstract: As many tree species populations are being degraded by climate change, adaptive conservation, and forest management, such as assisted gene flow (AGF), can provide the genetic variation needed to adapt change. The core of this strategy is assist adaptation process in at risk maladaptation introducing individuals with beneficial alleles cope expected changes. Castanea sativa Mill. (sweet chestnut) an essential component natural forests Mediterranean Caucasian regions, a long history cultivation. Current change may seriously threaten long-term persistence species, particularly Caucasus region, where largest range reductions predicted. Here, we used Species Distribution Models (SDMs) assess feasibility AGF European sativa. Bioclimatic variables for present (1981–2010) future (2071–2100) conditions were obtained from CHELSA database. final models ranges averaged across three (IPSL-CM6A-LR, MPIESM1-2-HR UKESM1-0-L) scenarios – SSP1-2.6, SSP3-7.0 SSP5-8.5. There marked differences climatic niches Iberian, Alpine-Apennine, Balkan, populations, significant implications AGF. most suitable areas found only Adriatic region. Iberian not compatible predicted any tested. Suitable Alpine-Apennine within Colchic lowlands, eastern Pontic mountains Hyrcanian SSP1-2.6 scenarios. In contrast, Balkan would be western and, lesser extent, forests. According damaging scenario SSP5-8.5, potential could very limited. Our study showed limited applicability between due low match. Genomic modelling fully species.

Language: Английский

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Using a genomic offset approach to guide assisted gene flow in the South American conifer Araucaria araucana

Forest Ecology and Management, Journal Year: 2023, Volume and Issue: 553, P. 121637 - 121637

Published: Dec. 19, 2023

Language: Английский

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