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      GmFULa improves soybean yield by enhancing carbon assimilation without altering flowering time or maturity

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          GmFULa improved soybean yield by enhancing carbon assimilation. Meanwhile, different from known yield-related genes, it did not alter flowering time or maturity.

          Abstract

          Soybean ( Glycine max (L.) Merr.) is highly demanded by a continuously growing human population. However, increasing soybean yield is a major challenge. FRUITFULL ( FUL), a MADS-box transcription factor, plays important roles in multiple developmental processes, especially fruit and pod development, which are crucial for soybean yield formation. However, the functions of its homologs in soybean are not clear. Here, through haplotype analysis, we found that one haplotype of the soybean homolog GmFULa ( GmFULa-H02) is dominant in cultivated soybeans, suggesting that GmFULa-H02 was highly selected during domestication and varietal improvement of soybean. Interestingly, transgenic overexpression of GmFULa enhanced vegetative growth with more biomass accumulated and ultimately increased the yield but without affecting the plant height or changing the flowering time and maturity, indicating that it enhances the efficiency of dry matter accumulation. It also promoted the yield factors like branch number, pod number and 100-seed weight, which ultimately increased the yield. It increased the palisade tissue cell number and the chlorophyll content to promote photosynthesis and increase the soluble sugar content in leaves and fresh seeds. Furthermore, GmFULa were found to be sublocalized in the nucleus and positively regulate sucrose synthases ( SUSs) and sucrose transporters ( SUTs) by binding with the conserved CArG boxes in their promoters. Overall, these results showed GmFULa promotes the capacity of assimilation and the transport of the resultant assimilates to increase yield, and provided insights into the link between GmFULa and sucrose synthesis with transport-related molecular pathways that control seed yield.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00299-021-02752-y.

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          Most cited references61

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          Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis.

          The transient gene expression system using Arabidopsis mesophyll protoplasts has proven an important and versatile tool for conducting cell-based experiments using molecular, cellular, biochemical, genetic, genomic and proteomic approaches to analyze the functions of diverse signaling pathways and cellular machineries. A well-established protocol that has been extensively tested and applied in numerous experiments is presented here. The method includes protoplast isolation, PEG-calcium transfection of plasmid DNA and protoplast culture. Physiological responses and high-throughput capability enable facile and cost-effective explorations as well as hypothesis-driven tests. The protoplast isolation and DNA transfection procedures take 6-8 h, and the results can be obtained in 2-24 h. The cell system offers reliable guidelines for further comprehensive analysis of complex regulatory mechanisms in whole-plant physiology, immunity, growth and development.
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            Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection.

            We report a large-scale analysis of the patterns of genome-wide genetic variation in soybeans. We re-sequenced a total of 17 wild and 14 cultivated soybean genomes to an average of approximately ×5 depth and >90% coverage using the Illumina Genome Analyzer II platform. We compared the patterns of genetic variation between wild and cultivated soybeans and identified higher allelic diversity in wild soybeans. We identified a high level of linkage disequilibrium in the soybean genome, suggesting that marker-assisted breeding of soybean will be less challenging than map-based cloning. We report linkage disequilibrium block location and distribution, and we identified a set of 205,614 tag SNPs that may be useful for QTL mapping and association studies. The data here provide a valuable resource for the analysis of wild soybeans and to facilitate future breeding and quantitative trait analysis.
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              Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean.

              Understanding soybean (Glycine max) domestication and improvement at a genetic level is important to inform future efforts to further improve a crop that provides the world's main source of oilseed. We detect 230 selective sweeps and 162 selected copy number variants by analysis of 302 resequenced wild, landrace and improved soybean accessions at >11× depth. A genome-wide association study using these new sequences reveals associations between 10 selected regions and 9 domestication or improvement traits, and identifies 13 previously uncharacterized loci for agronomic traits including oil content, plant height and pubescence form. Combined with previous quantitative trait loci (QTL) information, we find that, of the 230 selected regions, 96 correlate with reported oil QTLs and 21 contain fatty acid biosynthesis genes. Moreover, we observe that some traits and loci are associated with geographical regions, which shows that soybean populations are structured geographically. This study provides resources for genomics-enabled improvements in soybean breeding.
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                Author and article information

                Contributors
                litao0504@henau.edu.cn
                hantianfu@caas.cn
                jiangbingjun@caas.cn
                Journal
                Plant Cell Rep
                Plant Cell Rep
                Plant Cell Reports
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0721-7714
                1432-203X
                16 July 2021
                16 July 2021
                2021
                : 40
                : 10
                : 1875-1888
                Affiliations
                [1 ]GRID grid.108266.b, ISNI 0000 0004 1803 0494, College of Life Sciences, , Henan Agricultural University, ; Zhengzhou, 450002 China
                [2 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, MARA Key Lab of Soybean Biology (Beijing), Institute of Crop Sciences, , The Chinese Academy of Agricultural Sciences, ; Beijing, 100081 China
                Author notes

                Communicated by Prakash P. Kumar.

                Author information
                http://orcid.org/0000-0002-8172-4646
                Article
                2752
                10.1007/s00299-021-02752-y
                8494661
                34272585
                3c18ad34-877e-4ea6-b975-8e8894caf758
                © 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
                : 30 April 2021
                : 4 July 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 32001573
                Funded by: National Key R&D Program of China
                Award ID: 2017YFD0101400
                Funded by: China Agriculture Research System
                Award ID: CARS-04
                Funded by: CAAS Agricultural Science and Technology Innovation Project
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Plant science & Botany
                soybean (glycine max (l.) merr.),gmfula,yield,biomass,palisade tissue,sucrose synthesis,transport

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