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Delineating the Tnt1 Insertion Landscape of the Model Legume Medicago truncatula cv. R108 at the Hi-C Resolution Using a Chromosome-Length Genome Assembly.
Kaur, Parwinder; Lui, Christopher; Dudchenko, Olga; Nandety, Raja Sekhar; Hurgobin, Bhavna; Pham, Melanie; Lieberman Aiden, Erez; Wen, Jiangqi; Mysore, Kirankumar.
Afiliação
  • Kaur P; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA 6009, Australia.
  • Lui C; The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Dudchenko O; The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Nandety RS; Center for Theoretical and Biological Physics, Departments of Computer Science and Computational and Applied Mathematics, Rice University, Houston, TX 77030, USA.
  • Hurgobin B; Noble Research Institute, LLC., Ardmore, OK 73401, USA.
  • Pham M; La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Life Sciences, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.
  • Lieberman Aiden E; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.
  • Wen J; The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Mysore K; Center for Theoretical and Biological Physics, Departments of Computer Science and Computational and Applied Mathematics, Rice University, Houston, TX 77030, USA.
Int J Mol Sci ; 22(9)2021 Apr 21.
Article em En | MEDLINE | ID: mdl-33919286
ABSTRACT
Legumes are of great interest for sustainable agricultural production as they fix atmospheric nitrogen to improve the soil. Medicago truncatula is a well-established model legume, and extensive studies in fundamental molecular, physiological, and developmental biology have been undertaken to translate into trait improvements in economically important legume crops worldwide. However, M. truncatula reference genome was generated in the accession Jemalong A17, which is highly recalcitrant to transformation. M. truncatula R108 is more attractive for genetic studies due to its high transformation efficiency and Tnt1-insertion population resource for functional genomics. The need to perform accurate synteny analysis and comprehensive genome-scale comparisons necessitates a chromosome-length genome assembly for M. truncatula cv. R108. Here, we performed in situ Hi-C (48×) to anchor, order, orient scaffolds, and correct misjoins of contigs in a previously published genome assembly (R108 v1.0), resulting in an improved genome assembly containing eight chromosome-length scaffolds that span 97.62% of the sequenced bases in the input assembly. The long-range physical information data generated using Hi-C allowed us to obtain a chromosome-length ordering of the genome assembly, better validate previous draft misjoins, and provide further insights accurately predicting synteny between A17 and R108 regions corresponding to the known chromosome 4/8 translocation. Furthermore, mapping the Tnt1 insertion landscape on this reference assembly presents an important resource for M. truncatula functional genomics by supporting efficient mutant gene identification in Tnt1 insertion lines. Our data provide a much-needed foundational resource that supports functional and molecular research into the Leguminosae for sustainable agriculture and feeding the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Genoma de Planta / Medicago truncatula Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Genoma de Planta / Medicago truncatula Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália