High-depth resequencing of 312 accessions reveals the local adaptation of foxtail millet
- 10 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Theoretical and Applied Genetics
- Vol. 134 (5), 1303-1317
- https://doi.org/10.1007/s00122-020-03760-4
Abstract
Key message Based on the high-density variation map, we identified genome-level evidence for local adaptation and demonstrated that Siprr37 with transposon insertion contributes to the fitness of foxtail millet in the northeastern ecoregion. Abstract Adaptation is a robust way through which plants are able to overcome environmental constraints. The mechanisms of adaptation in heterogeneous natural environments are largely unknown. Deciphering the genomic basis of local adaptation will contribute to further improvement in domesticated plants. To this end, we describe a high-depth (19.4 ×) haplotype map of 3.02 million single nucleotide polymorphisms in foxtail millet (Setaria italica) from whole-genome resequencing of 312 accessions. In the genome-wide scan, we identified a set of improvement signals (including the homologous gene of OsIPA1, a key gene controlling ideal plant architecture) related to the geographical adaptation to four ecoregions in China. In particular, based on the genome-wide association analysis results, we identified the contribution of a pseudo-response regulator gene, SiPRR37, to heading date adaptation in foxtail millet. We observed the expression changes of SiPRR37 resulted from a key Tc1–Mariner transposon insertion in the first intron. Positive selection analyses revealed that SiPRR37 mainly contributed to the adaptation of northeastern ecoregions. Taken together, foxtail millet adapted to the northeastern region by regulating the function of SiPRR37, which sheds lights on genome-level evidence for adaptive geographical divergence. Besides, our data provide a nearly complete catalog of genomic variation aiding the identification of functionally important variants.Keywords
Funding Information
- The National Key R&D Program of China (2018YFD1000706/2018YFD1000700)
- Beijing Municipal Natural Science Foundation (6202011)
- Postdoctoral Research Foundation of China (2019M650555)
- Beijing Postdoctoral Research Foundation (2018–ZZ–054)
- Key Research & Development Plan of Hebei Province (19226378D)
- HAAFS Agriculture Science and Technology Innovation Project (2019-4-2)
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