Highre-solution linkage map and chromosome-scale genome assembly for cassava (Manihot esculenta Crantz) from 10 populations

dc.creatorInternational Cassava Genetic Map Consortium
dc.date2015-01-01
dc.date2016-05-25T12:00:15Z
dc.date2016-05-25T12:00:15Z
dc.date.accessioned2026-06-27T16:04:10Z
dc.descriptionCassava (Manihot esculenta Crantz) is a major staple crop in Africa, Asia, and South America, and its starchy roots provide nourishment for 800 million people worldwide. Although native to South America, cassava was brought to Africa 400–500 years ago and is now widely cultivated across sub-Saharan Africa, but it is subject to biotic and abiotic stresses. To assist in the rapid identification of markers for pathogen resistance and crop traits, and to accelerate breeding programs, we generated a framework map for M. esculenta Crantz from reduced representation sequencing [genotyping-by-sequencing (GBS)]. The composite 2412-cM map integrates 10 biparental maps (comprising 3480 meioses) and organizes 22,403 genetic markers on 18 chromosomes, in agreement with the observed karyotype. We used the map to anchor 71.9% of the draft genome assembly and 90.7% of the predicted protein-coding genes. The chromosome-anchored genome sequence will be useful for breeding improvement by assisting in the rapid identification of markers linked to important traits, and in providing a framework for genomic selectionenhanced breeding of this important crop.
dc.formatapplication/octet-stream
dc.identifierhttps://hdl.handle.net/10568/74475
dc.identifier.urihttp://hdl.handle.net/123456789/121605
dc.languageen
dc.publisherOxford University Press
dc.rightsOpen Access
dc.sourceInternational Cassava Genetic Map Consortium. (2015). High-resolution linkage map and chromosome-scale genome assembly for cassava (Manihot esculenta Crantz) from 10 Populations. G3: Genes| Genomes| Genetics, 5(1), 133-144.
dc.subjectgenetic map
dc.subjectcassava
dc.titleHighre-solution linkage map and chromosome-scale genome assembly for cassava (Manihot esculenta Crantz) from 10 populations
dc.typeJournal Article

Archivos