Genetic diversity and association of EST-SSR and SCoT markers with rust traits in Orchardgrass (Dactylis glomerata L.)
Yan, Haidong (Sichuan Agricultural University. Department of Grassland Science (China))
Zhang, Yu (Centre de Recerca en Agrigenòmica)
Zeng, Bing (Southwest University. Department of Animal Science (China))
Yin, Guohua (University of Arkansas. Department of Crop, Soil, and Environmental Sciences (USA))
Zhang, Xinquan (Sichuan Agricultural University. Department of Grassland Science (China))
Ji, Yang (Sichuan Animal Science Academy. Department of Grassland Science (China))
Huang, Linkai (Sichuan Agricultural University. Department of Grassland Science (China))
Jiang, Xiaomei (Sichuan Agricultural University. Department of Grassland Science (China))
Liu, Xinchun (Sichuan Agricultural University. Agricultural College (China))
Peng, Yan (Sichuan Agricultural University. Department of Grassland Science (China))
Ma, Xiao (Sichuan Agricultural University. Department of Grassland Science (China))
Yan, Yanhong (Sichuan Agricultural University. Department of Grassland Science (China))

Date:	2016
Abstract:	Orchardgrass (Dactylis glomerata L. ), is a well-known perennial forage species; however, rust diseases have caused a noticeable reduction in the quality and production of orchardgrass. In this study, genetic diversity was assessed and the marker-trait associations for rust were examined using 18 EST-SSR and 21 SCoT markers in 75 orchardgrass accessions. A high level of genetic diversity was detected in orchardgrass with an average genetic diversity index of 0. 369. For the EST-SSR and SCoT markers, 164 and 289 total bands were obtained, of which 148 (90. 24%) and 272 (94. 12%) were polymorphic, respectively. Results from an AMOVA analysis showed that more genetic variance existed within populations (87. 57%) than among populations (12. 43%). Using a parameter marker index, the efficiencies of the EST-SSR and SCoT markers were compared to show that SCoTs have higher marker efficiency (8. 07) than EST-SSRs (4. 82). The results of a UPGMA cluster analysis and a STRUCTURE analysis were both correlated with the geographic distribution of the orchardgrass accessions. Linkage disequilibrium analysis revealed an average r 2 of 0. 1627 across all band pairs, indicating a high extent of linkage disequilibrium in the material. An association analysis between the rust trait and 410 bands from the EST-SSR and SCoT markers using TASSEL software revealed 20 band panels were associated with the rust trait in both 2011 and 2012. The 20 bands obtained from association analysis could be used in breeding programs for lineage selection to prevent great losses of orchardgrass caused by rust, and provide valuable information for further association mapping using this collection of orchardgrass.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Association analysis ; EST-SSR ; Genetic diversity ; Orchardgrass ; Rust ; SCoT
Published in:	Molecules, Vol. 21, Issue 1 (January 2016) , art. 66, ISSN 1420-3049

DOI: 10.3390/molecules21010066
PMID: 26760988

13 p, 1.1 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CRAG (Centre for Research in Agricultural Genomics)
Articles > Research articles
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