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Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations
Flowering time is one of the most critical traits for plants’ life cycles, which is influenced by various environment changes, such as global warming. Previous studies have suggested that to guarantee reproductive success, plants have shifted flowering times to adapt to global warming. Although many...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906298/ https://www.ncbi.nlm.nih.gov/pubmed/31527784 http://dx.doi.org/10.1038/s41437-019-0264-5 |
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author | Qian, Chaoju Yan, Xia Shi, Yong Yin, Hengxia Chang, Yuxiao Chen, Jun Ingvarsson, Pär K. Nevo, Eviatar Ma, Xiao-Fei |
author_facet | Qian, Chaoju Yan, Xia Shi, Yong Yin, Hengxia Chang, Yuxiao Chen, Jun Ingvarsson, Pär K. Nevo, Eviatar Ma, Xiao-Fei |
author_sort | Qian, Chaoju |
collection | PubMed |
description | Flowering time is one of the most critical traits for plants’ life cycles, which is influenced by various environment changes, such as global warming. Previous studies have suggested that to guarantee reproductive success, plants have shifted flowering times to adapt to global warming. Although many studies focused on the molecular mechanisms of early flowering, little was supported by the repeated sampling at different time points through the changing climate. To fully dissect the temporal and spatial evolutionary genetics of flowering time, we investigated nucleotide variation in ten flowering time candidate genes and nine reference genes for the same ten wild-barley populations sampled 28 years apart (1980–2008). The overall genetic differentiation was significantly greater in the descendant populations (2008) compared with the ancestral populations (1980); however, local adaptation tests failed to detect any single-nucleotide polymorphism (SNP)/indel under spatial-diversifying selection at either time point. By contrast, the WFABC (Wright–Fisher ABC-based approach) that detected 54 SNPs/indels was under strong selection during the past 28 generations. Moreover, all these 54 alleles were segregated in the ancestral populations, but fixed in the descendent populations. Among the top ten SNPs/indels, seven were located in genes of FT1 (FLOWERING TIME LOCUS T 1), CO1 (CONSTANS-LIKE PROTEIN 1), and VRN-H2 (VERNALIZATION-H2), which have been documented to be associated with flowering time regulation in barley cultivars. This study might suggest that all ten populations have undergone parallel evolution over the past few decades in response to global warming, and even an overwhelming local adaptation and ecological differentiation. |
format | Online Article Text |
id | pubmed-6906298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-69062982019-12-12 Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations Qian, Chaoju Yan, Xia Shi, Yong Yin, Hengxia Chang, Yuxiao Chen, Jun Ingvarsson, Pär K. Nevo, Eviatar Ma, Xiao-Fei Heredity (Edinb) Article Flowering time is one of the most critical traits for plants’ life cycles, which is influenced by various environment changes, such as global warming. Previous studies have suggested that to guarantee reproductive success, plants have shifted flowering times to adapt to global warming. Although many studies focused on the molecular mechanisms of early flowering, little was supported by the repeated sampling at different time points through the changing climate. To fully dissect the temporal and spatial evolutionary genetics of flowering time, we investigated nucleotide variation in ten flowering time candidate genes and nine reference genes for the same ten wild-barley populations sampled 28 years apart (1980–2008). The overall genetic differentiation was significantly greater in the descendant populations (2008) compared with the ancestral populations (1980); however, local adaptation tests failed to detect any single-nucleotide polymorphism (SNP)/indel under spatial-diversifying selection at either time point. By contrast, the WFABC (Wright–Fisher ABC-based approach) that detected 54 SNPs/indels was under strong selection during the past 28 generations. Moreover, all these 54 alleles were segregated in the ancestral populations, but fixed in the descendent populations. Among the top ten SNPs/indels, seven were located in genes of FT1 (FLOWERING TIME LOCUS T 1), CO1 (CONSTANS-LIKE PROTEIN 1), and VRN-H2 (VERNALIZATION-H2), which have been documented to be associated with flowering time regulation in barley cultivars. This study might suggest that all ten populations have undergone parallel evolution over the past few decades in response to global warming, and even an overwhelming local adaptation and ecological differentiation. Springer International Publishing 2019-09-16 2020-01 /pmc/articles/PMC6906298/ /pubmed/31527784 http://dx.doi.org/10.1038/s41437-019-0264-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Qian, Chaoju Yan, Xia Shi, Yong Yin, Hengxia Chang, Yuxiao Chen, Jun Ingvarsson, Pär K. Nevo, Eviatar Ma, Xiao-Fei Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title | Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title_full | Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title_fullStr | Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title_full_unstemmed | Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title_short | Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations |
title_sort | adaptive signals of flowering time pathways in wild barley from israel over 28 generations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906298/ https://www.ncbi.nlm.nih.gov/pubmed/31527784 http://dx.doi.org/10.1038/s41437-019-0264-5 |
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