Biswas_PHHEnseteMicrosatelliteSSRLandscape2020-Scientific_Reports.pdf (2.75 MB)
Download fileThe landscape of microsatellites in the enset (Ensete ventricosum) genome and web-based marker resource development
journal contribution
posted on 2021-10-13, 09:50 authored by Manosh Kumar Biswas, Jaypal N Darbar, James S Borrell, Mita Bagchi, Dhiman Biswas, Gizachew Woldesenbet Nuraga, Sebsebe Demissew, Paul Wilkin, Trude Schwarzacher, J S Pat Heslop-HarrisonEnsete ventricosum (Musaceae, enset) is an Ethiopian food security crop. To realize the potential of enset for rural livelihoods, further knowledge of enset diversity, genetics and genomics is required to support breeding programs and conservation. This study was conducted to explore the enset genome to develop molecular markers, genomics resources, and characterize enset landraces while giving insight into the organization of the genome. We identified 233 microsatellites (simple sequence repeats, SSRs) per Mbp in the enset genome, representing 0.28% of the genome. Mono- and di-nucleotide repeats motifs were found in a higher proportion than other classes of SSR-motifs. In total, 154,586 non-redundant enset microsatellite markers (EMM) were identified and 40 selected for primer development. Marker validation by PCR and low-cost agarose gel electrophoresis revealed that 92.5% were polymorphic, showing a high PIC (Polymorphism Information Content; 0.87) and expected heterozygosity (He = 0.79–0.82). In silico analysis of genomes of closely related species showed 46.86% of the markers were transferable among enset species and 1.90% were transferable to Musa. The SSRs are robust (with basic PCR methods and agarose gel electrophoresis), informative, and applicable in measuring enset diversity, genotyping, selection and potentially breeding. Enset SSRs are available in a web-based database at https://enset-project.org/EnMom@base.html (or https://enset.aau.edu.et/index.html, downloadable from Figshare).
Funding
GCRF Foundation Awards for Global Agricultural and Food Systems Research, entitled, ‘Modelling and genomics resources to enhance exploitation of the sustainable and diverse Ethiopian starch crop enset and support livelihoods’ [Grant No. BB/P02307X/1].
History
Citation
Sci Rep 10, 15312 (2020). https://doi.org/10.1038/s41598-020-71984-xAuthor affiliation
Department of Genetics and Genome BiologyVersion
- VoR (Version of Record)