The possible future changes in potential suitable habitats of Tetrastigma hemsleyanum (Vitaceae) in China predicted by an ensemble model

Wang, Jiahong; Qian, Qifeng; FenYao, Zhang; Jia, Xiangping; Jia-qi, HE

doi:10.1016/j.gecco.2022.e02083

Cited by 7 publications

(6 citation statements)

References 57 publications

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“…In subtropical areas, the survival and distribution of plants has been reported to be constrained by insufficient precipitation (Allan et al, 2010;Aguirre-Gutiérrez et al, 2019), and across the range of T. hemsleyanum, BIO19 and PETWeQ represented the most important predictors of genome-wide SNP variation when taking the effects of spatial isolation into account, which suggested that populations are responding to selective forces related to drought. This result agrees with the general consensus that T. hemsleyanum is best suited to moist hillsides or valleys and is a drought-sensitive species (Du et al, 2015;Song et al, 2017), and reinforces previous findings of distribution models that identified water availability as a major determinant of contemporary distribution range of this species (Wang et al, 2022). Beyond that, GDD0 was by far the most important variable in the temperature regime associated with genetic variation (Table 1), and its corresponding range was from 51,930 days degrees at Xingshan (CC7) in Central China to 1,03,932 days degrees at Janfengling (HN) in South China (Supplementary Table S1).…”

Section: Regional Climatic Differences Contribute To Genomic Divergencesupporting

confidence: 92%

Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China

et al. 2023

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Understanding adaptive genetic variation of plant populations and their vulnerabilities to climate change are critical to preserve biodiversity and subsequent management interventions. To this end, landscape genomics may represent a cost-efficient approach for investigating molecular signatures underlying local adaptation. Tetrastigma hemsleyanum is, in its native habitat, a widespread perennial herb of warm-temperate evergreen forest in subtropical China. Its ecological and medicinal values constitute a significant revenue for local human populations and ecosystem. Using 30,252 single nucleotide polymorphisms (SNPs) derived from reduced-representation genome sequencing in 156 samples from 24 sites, we conducted a landscape genomics study of the T. hemsleyanum to elucidate its genomic variation across multiple climate gradients and genomic vulnerability to future climate change. Multivariate methods identified that climatic variation explained more genomic variation than that of geographical distance, which implied that local adaptation to heterogeneous environment might represent an important source of genomic variation. Among these climate variables, winter precipitation was the strongest predictor of the contemporary genetic structure. FST outlier tests and environment association analysis totally identified 275 candidate adaptive SNPs along the genetic and environmental gradients. SNP annotations of these putatively adaptive loci uncovered gene functions associated with modulating flowering time and regulating plant response to abiotic stresses, which have implications for breeding and other special agricultural aims on the basis of these selection signatures. Critically, modelling revealed that the high genomic vulnerability of our focal species via a mismatch between current and future genotype-environment relationships located in central-northern region of the T. hemsleyanum’s range, where populations require proactive management efforts such as assistant adaptation to cope with ongoing climate change. Taken together, our results provide robust evidence of local climate adaption for T. hemsleyanum and further deepen our understanding of adaptation basis of herbs in subtropical China.

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Section: Regional Climatic Differences Contribute To Genomic Divergencesupporting

confidence: 92%

Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China

et al. 2023

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“…These variables are regarded to be more biological relevant than the others and are widely used to build SDMs (Guisan et al 2017). Following Wang et al (2022), we used a variance inflation factor (VIF) analysis to select environment variables. The VIF can identify the hidden correlation structures between variables (e.g., Graham 2003, Dormann et al 2013, Guisan et al 2017, Qin et al 2017, Yan et al 2020, Qin et al 2020a, 2020b and help to avoid the multicollinearity problem in SDM (e.g., Harrell 2001, Guisan et al 2002, Guisan et al 2006.…”

Section: Current Environment Variablesmentioning

confidence: 99%

“…The variables with a VIF value greater than 10 were removed (Guisan et al 2017). After VIF analysis, seven environment variables were selected and used in this study to construct SDM: bio 2 (mean diurnal range), bio 3 (isothermality), bio 8 (mean temperature of wettest quarter), bio 9 (mean temperature of driest quarter), bio 14 (precipitation of driest month), bio 15 (precipitation seasonality) and bio 18 (precipitation of warmest quarter), which is the same as Wang et al (2022).…”

Section: Current Environment Variablesmentioning

confidence: 99%

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The possible impact of human activity and climate change on the potential suitable habitats of Taxus wallichianavar.mairei (Taxaceae) evaluated by ensemble modeling techniques

Wang,

Qian,

Jia

et al. 2023

Environ. Res. Commun.

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In the current work, we examined the possible changes in potential suitable habitats of Taxus wallichiana var. mairei (Taxaceae) under the influence of human activity and climate change using ensemble modeling techniques. T. wallichiana var. mairei is an endangered subtropical coniferous evergreen tree and is often used in medical applications. It is mainly distributed in southern China and has experienced several degenerations due to human activity in recent decades. Its growth is also very sensitive to climate change. The area of its highly suitable habitat under current climate conditions was approximately 2.31×106 km2, as estimated by our ensemble models, accounting for 81.85% of its total suitable habitat. The ensemble model results showed that the mean diurnal range (bio2) was the most critical environment variable affecting the performance of the ensemble models. Human activity had an overall negative influence on the suitable habitats of T. wallichiana var. mairei under current climate conditions. Under the influence of future climate change, the ensemble model predicted that the highly suitable habitat would convert to low- to medium-suitability or be lost, with the predicted loss of highly suitable habitat at the end of this century ranging from 30.40% to 96.55%. The predicted changes were more intense with increases in the severity of global warming. In addition, the ensemble model also predicted a shift in the distribution of total suitable habitats toward higher elevations. The results of this study should provide information for conservation purposes.

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“…However, its availability decreases severely owing to over-exploration and the specific growth environment. Therefore, the cultivation of T. hemsleyanum has attracted increasing attention, and is planned on a grand scale in provinces south of the Yangtze River ( Wang et al., 2022 ). Geographical origin is important for cultivation techniques and affects its medical value ( Farzaneh and Carvalho, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Determination of the geographical origin of Tetrastigma hemsleyanum Diels & Gilg using an electronic nose technique with multiple algorithms

Bian

et al. 2022

Heliyon

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The possible future changes in potential suitable habitats of Tetrastigma hemsleyanum (Vitaceae) in China predicted by an ensemble model

Cited by 7 publications

References 57 publications

Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China

Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China

The possible impact of human activity and climate change on the potential suitable habitats of Taxus wallichianavar.mairei (Taxaceae) evaluated by ensemble modeling techniques

Determination of the geographical origin of Tetrastigma hemsleyanum Diels & Gilg using an electronic nose technique with multiple algorithms

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