Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions

Local adaptation has been proven to be common in plants and extensively studied, from increasing plant yields to predicting species responses to the future changing climate. Compared to main crops and forest trees, however, investigations into the local adaptation of fruit trees across current and f...

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Main Authors: Xu Zhang, Quan Jiang, Yufang Shen, Hengchang Wang, Xiaohong Yao
Format: Article
Language:English
Published: Maximum Academic Press 2024-01-01
Series:Fruit Research
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Online Access:https://www.maxapress.com/article/doi/10.48130/frures-0023-0039
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author Xu Zhang
Quan Jiang
Yufang Shen
Hengchang Wang
Xiaohong Yao
author_facet Xu Zhang
Quan Jiang
Yufang Shen
Hengchang Wang
Xiaohong Yao
author_sort Xu Zhang
collection DOAJ
description Local adaptation has been proven to be common in plants and extensively studied, from increasing plant yields to predicting species responses to the future changing climate. Compared to main crops and forest trees, however, investigations into the local adaptation of fruit trees across current and future climatic landscapes are still lacking. With the explosion of large-scale genomic data, landscape genomics has emerged as a new approach to identify candidate loci that are related to environmental variations (i.e., genotype-environment associations or GEA), while allowing for downstream analyses such as the calculation of adaptive indices and genetic offsets, which can be used to predict spatial-temporal shifts of populations in response to future environmental change. Here, by summarizing the cutting-edge methods for investigating species' local adaptation as well as evaluating the genetic offsets based on the current genotype-environment association, we call for more efforts on elucidating genomic and molecular underpinnings of local adaptation of fruit trees and forecasting the possible maladaptation under rapid climate change. In summary, the study of local adaptation in fruit trees is important for ensuring long-term sustainability and productivity. The emergence of landscape genomics has great potential to advance our understanding of the genomic and molecular mechanisms underlying local adaptation and to predict responses to environmental change.
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spelling doaj-art-d582cef7ece74fba828ee0a1fd088cd82025-08-20T02:27:11ZengMaximum Academic PressFruit Research2769-46152024-01-01411610.48130/frures-0023-0039frures-0023-0039Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditionsXu Zhang0Quan Jiang1Yufang Shen2Hengchang Wang3Xiaohong Yao4CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan, Hubei 430074, ChinaCAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan, Hubei 430074, ChinaCAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan, Hubei 430074, ChinaCAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan, Hubei 430074, ChinaCAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan, Hubei 430074, ChinaLocal adaptation has been proven to be common in plants and extensively studied, from increasing plant yields to predicting species responses to the future changing climate. Compared to main crops and forest trees, however, investigations into the local adaptation of fruit trees across current and future climatic landscapes are still lacking. With the explosion of large-scale genomic data, landscape genomics has emerged as a new approach to identify candidate loci that are related to environmental variations (i.e., genotype-environment associations or GEA), while allowing for downstream analyses such as the calculation of adaptive indices and genetic offsets, which can be used to predict spatial-temporal shifts of populations in response to future environmental change. Here, by summarizing the cutting-edge methods for investigating species' local adaptation as well as evaluating the genetic offsets based on the current genotype-environment association, we call for more efforts on elucidating genomic and molecular underpinnings of local adaptation of fruit trees and forecasting the possible maladaptation under rapid climate change. In summary, the study of local adaptation in fruit trees is important for ensuring long-term sustainability and productivity. The emergence of landscape genomics has great potential to advance our understanding of the genomic and molecular mechanisms underlying local adaptation and to predict responses to environmental change.https://www.maxapress.com/article/doi/10.48130/frures-0023-0039landscape genomicslocal adaptationclimate changefruit trees.
spellingShingle Xu Zhang
Quan Jiang
Yufang Shen
Hengchang Wang
Xiaohong Yao
Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
Fruit Research
landscape genomics
local adaptation
climate change
fruit trees.
title Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
title_full Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
title_fullStr Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
title_full_unstemmed Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
title_short Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
title_sort using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions
topic landscape genomics
local adaptation
climate change
fruit trees.
url https://www.maxapress.com/article/doi/10.48130/frures-0023-0039
work_keys_str_mv AT xuzhang usinglandscapegenomicstoassesslocaladaptationoffruittreestocurrentandfutureclimaticconditions
AT quanjiang usinglandscapegenomicstoassesslocaladaptationoffruittreestocurrentandfutureclimaticconditions
AT yufangshen usinglandscapegenomicstoassesslocaladaptationoffruittreestocurrentandfutureclimaticconditions
AT hengchangwang usinglandscapegenomicstoassesslocaladaptationoffruittreestocurrentandfutureclimaticconditions
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