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      Natural variation and artificial selection of photoperiodic flowering genes and their applications in crop adaptation

      review-article
      , , ,
      aBIOTECH
      Springer Singapore
      Adaptation, Photoperiodic flowering, Crops, Artificial selection

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          Abstract

          Flowering links vegetative growth and reproductive growth and involves the coordination of local environmental cues and plant genetic information. Appropriate timing of floral initiation and maturation in both wild and cultivated plants is important to their fitness and productivity in a given growth environment. The domestication of plants into crops, and later crop expansion and improvement, has often involved selection for early flowering. In this review, we analyze the basic rules for photoperiodic adaptation in several economically important and/or well-researched crop species. The ancestors of rice ( Oryza sativa), maize ( Zea mays), soybean ( Glycine max), and tomato ( Solanum lycopersicum) are short-day plants whose photosensitivity was reduced or lost during domestication and expansion to high-latitude areas. Wheat ( Triticum aestivum) and barley ( Hordeum vulgare) are long-day crops whose photosensitivity is influenced by both latitude and vernalization type. Here, we summarize recent studies about where these crops were domesticated, how they adapted to photoperiodic conditions as their growing area expanded from domestication locations to modern cultivating regions, and how allelic variants of photoperiodic flowering genes were selected during this process. A deeper understanding of photoperiodic flowering in each crop will enable better molecular design and breeding of high-yielding cultivars suited to particular local environments.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s42994-021-00039-0.

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          Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

          Yield potential, plant height and heading date are three classes of traits that determine the productivity of many crop plants. Here we show that the quantitative trait locus (QTL) Ghd7, isolated from an elite rice hybrid and encoding a CCT domain protein, has major effects on an array of traits in rice, including number of grains per panicle, plant height and heading date. Enhanced expression of Ghd7 under long-day conditions delays heading and increases plant height and panicle size. Natural mutants with reduced function enable rice to be cultivated in temperate and cooler regions. Thus, Ghd7 has played crucial roles for increasing productivity and adaptability of rice globally.
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            Evolution of crop species: genetics of domestication and diversification.

            Domestication is a good model for the study of evolutionary processes because of the recent evolution of crop species (<12,000 years ago), the key role of selection in their origins, and good archaeological and historical data on their spread and diversification. Recent studies, such as quantitative trait locus mapping, genome-wide association studies and whole-genome resequencing studies, have identified genes that are associated with the initial domestication and subsequent diversification of crops. Together, these studies reveal the functions of genes that are involved in the evolution of crops that are under domestication, the types of mutations that occur during this process and the parallelism of mutations that occur in the same pathways and proteins, as well as the selective forces that are acting on these mutations and that are associated with geographical adaptation of crop species.
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              Genomic variation in 3,010 diverse accessions of Asian cultivated rice

              Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within- and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence–absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding.
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                Author and article information

                Contributors
                kongfj@gzhu.edu.cn
                Journal
                Abiotech
                Abiotech
                aBIOTECH
                Springer Singapore (Singapore )
                2096-6326
                2662-1738
                2 June 2021
                2 June 2021
                June 2021
                : 2
                : 2
                : 156-169
                Affiliations
                GRID grid.411863.9, ISNI 0000 0001 0067 3588, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, , Guangzhou University, ; Guangzhou, China
                Author information
                http://orcid.org/0000-0001-7138-1478
                Article
                39
                10.1007/s42994-021-00039-0
                9590489
                36304754
                fb0b1322-554c-45b1-9085-21d38583aa0e
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 January 2021
                : 8 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 32090064
                Award ID: 32001568
                Award Recipient :
                Funded by: Major Program of Guangdong Basic and Applied Research
                Award ID: 2019B030302006
                Award Recipient :
                Categories
                Review
                Custom metadata
                © Agricultural Information Institute, Chinese Academy of Agricultural Sciences 2021

                adaptation,photoperiodic flowering,crops,artificial selection

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