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      A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

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          Abstract

          Rye is a valuable food and forage crop, an important genetic resource for wheat and triticale improvement and an indispensable material for efficient comparative genomic studies in grasses. Here, we sequenced the genome of Weining rye, an elite Chinese rye variety. The assembled contigs (7.74 Gb) accounted for 98.47% of the estimated genome size (7.86 Gb), with 93.67% of the contigs (7.25 Gb) assigned to seven chromosomes. Repetitive elements constituted 90.31% of the assembled genome. Compared to previously sequenced Triticeae genomes, Daniela, Sumaya and Sumana retrotransposons showed strong expansion in rye. Further analyses of the Weining assembly shed new light on genome-wide gene duplications and their impact on starch biosynthesis genes, physical organization of complex prolamin loci, gene expression features underlying early heading trait and putative domestication-associated chromosomal regions and loci in rye. This genome sequence promises to accelerate genomic and breeding studies in rye and related cereal crops.

          Abstract

          A high-quality genome assembly of Weining rye sheds new light on gene duplications and their effects on starch biosynthesis genes, gene expression features underlying early heading trait and putative domestication-associated chromosomal regions.

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          BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

          Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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            MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity

            MCScan is an algorithm able to scan multiple genomes or subgenomes in order to identify putative homologous chromosomal regions, and align these regions using genes as anchors. The MCScanX toolkit implements an adjusted MCScan algorithm for detection of synteny and collinearity that extends the original software by incorporating 14 utility programs for visualization of results and additional downstream analyses. Applications of MCScanX to several sequenced plant genomes and gene families are shown as examples. MCScanX can be used to effectively analyze chromosome structural changes, and reveal the history of gene family expansions that might contribute to the adaptation of lineages and taxa. An integrated view of various modes of gene duplication can supplement the traditional gene tree analysis in specific families. The source code and documentation of MCScanX are freely available at http://chibba.pgml.uga.edu/mcscan2/.
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              Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions.

              Genomes assembled de novo from short reads are highly fragmented relative to the finished chromosomes of Homo sapiens and key model organisms generated by the Human Genome Project. To address this problem, we need scalable, cost-effective methods to obtain assemblies with chromosome-scale contiguity. Here we show that genome-wide chromatin interaction data sets, such as those generated by Hi-C, are a rich source of long-range information for assigning, ordering and orienting genomic sequences to chromosomes, including across centromeres. To exploit this finding, we developed an algorithm that uses Hi-C data for ultra-long-range scaffolding of de novo genome assemblies. We demonstrate the approach by combining shotgun fragment and short jump mate-pair sequences with Hi-C data to generate chromosome-scale de novo assemblies of the human, mouse and Drosophila genomes, achieving--for the human genome--98% accuracy in assigning scaffolds to chromosome groups and 99% accuracy in ordering and orienting scaffolds within chromosome groups. Hi-C data can also be used to validate chromosomal translocations in cancer genomes.
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                Author and article information

                Contributors
                jpyang@henau.edu.cn
                yangqh2000@163.com
                zkp66@126.com
                dwwang@henau.edu.cn
                Journal
                Nat Genet
                Nat Genet
                Nature Genetics
                Nature Publishing Group US (New York )
                1061-4036
                1546-1718
                18 March 2021
                18 March 2021
                2021
                : 53
                : 4
                : 574-584
                Affiliations
                [1 ]GRID grid.108266.b, ISNI 0000 0004 1803 0494, College of Agronomy, Longzi Lake Campus, , Henan Agricultural University, ; Zhengzhou, China
                [2 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Peking University Institute of Advanced Agricultural Sciences, ; Weifang, China
                [3 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, , Peking University, ; Beijing, China
                [4 ]GRID grid.410751.6, Biomarker Technologies Corporation, ; Beijing, China
                [5 ]GRID grid.80510.3c, ISNI 0000 0001 0185 3134, Agronomy College, , Sichuan Agricultural University, ; Chengdu, China
                [6 ]GRID grid.9227.e, ISNI 0000000119573309, The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, , Chinese Academy of Sciences, ; Beijing, China
                [7 ]GRID grid.80510.3c, ISNI 0000 0001 0185 3134, Triticeae Research Institute, , Sichuan Agricultural University, ; Chengdu, China
                [8 ]GRID grid.454748.e, Institute of Experimental Botany of the Czech Academy of Sciences, , Centre of the Region Hana for Biotechnological and Agricultural Research, ; Olomouc, Czech Republic
                [9 ]GRID grid.418934.3, ISNI 0000 0001 0943 9907, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), ; Seeland, Germany
                [10 ]GRID grid.7450.6, ISNI 0000 0001 2364 4210, Center for Integrated Breeding Research (CiBreed), Department of Crop Sciences, , Georg-August-University, ; Göttingen, Germany
                [11 ]GRID grid.108266.b, ISNI 0000 0004 1803 0494, The State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, , Henan Agricultural University, ; Zhengzhou, China
                Author information
                http://orcid.org/0000-0001-6128-675X
                http://orcid.org/0000-0001-9745-0582
                http://orcid.org/0000-0003-3165-283X
                http://orcid.org/0000-0003-3376-1693
                http://orcid.org/0000-0002-5049-9706
                http://orcid.org/0000-0002-4962-9032
                http://orcid.org/0000-0002-9404-8245
                http://orcid.org/0000-0001-8855-6617
                http://orcid.org/0000-0001-8781-4063
                http://orcid.org/0000-0002-9426-3615
                http://orcid.org/0000-0002-6263-0492
                http://orcid.org/0000-0001-8709-1467
                http://orcid.org/0000-0003-3011-8731
                http://orcid.org/0000-0002-8961-4900
                http://orcid.org/0000-0002-1561-916X
                http://orcid.org/0000-0002-6230-8735
                Article
                808
                10.1038/s41588-021-00808-z
                8035075
                33737755
                211c1a28-6fe2-4d70-a2a1-5c0ebb6facc7
                © The Author(s) 2021

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

                History
                : 9 December 2019
                : 29 January 2021
                Funding
                Funded by: Ministry of Science and Technology of China (2016YFD0100500), the National Natural Science Foundation of China (91935304), the Collaborative Innovation Center for Henan Grain Crops (construction fund).
                Funded by: The Ministry of Science and Technology of China (2016YFD0100500), the National Natural Science Foundation of China (91935304), the Collaborative Innovation Center for Henan Grain Crops (construction fund), and the Innovative Postdoctoral Research Initiative of Henan Province.
                Funded by: The Ministry of Science and Technology of China (2016YFD0100500), the National Natural Science Foundation of China (91935304)
                Funded by: ERDF project “Plants as a tool for sustainable global development” (No. CZ.02.1.01/0.0/0.0/16_019/0000827)
                Categories
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                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021

                Genetics
                genomics,plant genetics
                Genetics
                genomics, plant genetics

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