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Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations
Qian, Chaoju1; Yan, Xia2; Shi, Yong3; Yin, Hengxia4; Chang, Yuxiao5; Chen, Jun6; Ingvarsson, Par K.7; Nevo, Eviatar8; Ma, Xiao-Fei1
Corresponding AuthorNevo, Eviatar( ; Ma, Xiao-Fei(
Source PublicationHEREDITY
AbstractFlowering 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 T1), 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.
Indexed BySCI ; SCI
WOS Research AreaEnvironmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS SubjectEcology ; Evolutionary Biology ; Genetics & Heredity
WOS IDWOS:000502333100006
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Document Type期刊论文
Corresponding AuthorNevo, Eviatar; Ma, Xiao-Fei
Affiliation1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Dept Ecol & Agr Res, Key Lab Stress Physiol & Ecol Cold & Arid Reg, Lanzhou 730000, Gansu, Peoples R China
2.Nantong Univ, Sch Life Sci, Nantong 226019, Jiangsu, Peoples R China
3.Chinese Acad Sci, Kunming Inst Bot, Germplasm Bank Wild Species Southwest China, Kunming 650201, Yunnan, Peoples R China
4.Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China
5.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen 450002, Guangdong, Peoples R China
6.Zhejiang Univ, Coll Life Sci, Hangzhou 310058, Zhejiang, Peoples R China
7.Swedish Univ Agr Sci, Uppsala BioCtr, Dept Plant Biol, SE-75007 Uppsala, Sweden
8.Univ Haifa, Inst Evolut, IL-3498838 Haifa, Israel
Recommended Citation
GB/T 7714
Qian, Chaoju,Yan, Xia,Shi, Yong,et al. Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations[J]. HEREDITY,2020,124(1):62-76.
APA Qian, Chaoju.,Yan, Xia.,Shi, Yong.,Yin, Hengxia.,Chang, Yuxiao.,...&Ma, Xiao-Fei.(2020).Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations.HEREDITY,124(1),62-76.
MLA Qian, Chaoju,et al."Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations".HEREDITY 124.1(2020):62-76.
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