1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The genome of a wild Medicago species provides insights into the tolerant mechanisms of legume forage to environmental stress

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Medicago ruthenica, a wild and perennial legume forage widely distributed in semi-arid grasslands, is distinguished by its outstanding tolerance to environmental stress. It is a close relative of commonly cultivated forage of alfalfa ( Medicago sativa). The high tolerance of M. ruthenica to environmental stress makes this species a valuable genetic resource for understanding and improving traits associated with tolerance to harsh environments.

          Results

          We sequenced and assembled genome of M. ruthenica using an integrated approach, including PacBio, Illumina, 10×Genomics, and Hi-C. The assembled genome was 904.13 Mb with scaffold N50 of 99.39 Mb, and 50,162 protein-coding genes were annotated. Comparative genomics and transcriptomic analyses were used to elucidate mechanisms underlying its tolerance to environmental stress. The expanded FHY3/FAR1 family was identified to be involved in tolerance of M. ruthenica to drought stress. Many genes involved in tolerance to abiotic stress were retained in M. ruthenica compared to other cultivated Medicago species. Hundreds of candidate genes associated with drought tolerance were identified by analyzing variations in single nucleotide polymorphism using accessions of M. ruthenica with varying tolerance to drought. Transcriptomic data demonstrated the involvements of genes related to transcriptional regulation, stress response, and metabolic regulation in tolerance of M. ruthenica.

          Conclusions

          We present a high-quality genome assembly and identification of drought-related genes in the wild species of M. ruthenica, providing a valuable resource for genomic studies on perennial legume forages.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-021-01033-0.

          Related collections

          Most cited references83

          • Record: found
          • Abstract: found
          • Article: not found

          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cytoscape: a software environment for integrated models of biomolecular interaction networks.

              Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
                Bookmark

                Author and article information

                Contributors
                zhoumengyan@novogene.com
                whzhang@ibcas.ac.cn
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                6 May 2021
                6 May 2021
                2021
                : 19
                : 96
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, , The Chinese Academy of Sciences, ; Beijing, China
                [2 ]GRID grid.410753.4, Novogene Bioinformatics Institute, ; Beijing, China
                [3 ]GRID grid.32566.34, ISNI 0000 0000 8571 0482, School of Life Sciences, , Lanzhou University, ; Lanzhou, China
                [4 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, Institute of Grassland Research, , Chinese Academy of Agricultural Sciences, ; Huhehot, China
                [5 ]GRID grid.411638.9, ISNI 0000 0004 1756 9607, College of Ecology and Environmental Science, , Inner Mongolia Agricultural University, ; Huhehot, China
                [6 ]National Centre for Genome Resources, Santa Fe, New Mexico USA
                [7 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, Institute of Vegetables and Flowers, , Chinese Academy of Agricultural Sciences, ; Beijing, China
                [8 ]GRID grid.17635.36, ISNI 0000000419368657, Departments of Plant Pathology and Plant Biology, , University of Minnesota, ; Minnesota, USA
                [9 ]GRID grid.9227.e, ISNI 0000000119573309, Inner Mongolia Research Centre for Prataculture, , The Chinese Academy of Sciences, ; Beijing, China
                Author information
                http://orcid.org/0000-0003-2708-2221
                Article
                1033
                10.1186/s12915-021-01033-0
                8103640
                33957908
                568fbb55-04a9-4b91-8056-51fb1aaed314
                © 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 September 2020
                : 21 April 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 320703351
                Award Recipient :
                Funded by: National Natural Science Foundation of China
                Award ID: 31830011
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Life sciences
                wild genetic resource,genome,evolution,domestication,comparative genomics,transcriptome,single-nucleotide polymorphism,drought tolerance,medicago ruthenica

                Comments

                Comment on this article