Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Comparison of simple sequence repeat (SSR) and diversity array technology (DArT) markers for assessing genetic diversity in cassava (Manihot esculenta Crantz)
Plant Genetic Resources: Characterisation and Utilisation, Volume 6, No. 3, Year 2008
Notification
URL copied to clipboard!
Description
Several molecular marker systems have been developed for assessing genetic diversity in crop germplasm collections. A trade-off often exists between the number of loci that can feasibly be sampled by a marker system and the amount of information provided by each locus. We compared the usefulness of two marker systems for revealing genetic diversity and population structure in cassava (Manihot esculenta Crantz): simple sequence repeats (SSRs) and diversity array technology (DArT) markers. DArTs survey many more loci per reaction than do SSRs; however, as bi-allelic, dominant markers, DArTs provide less polymorphism information per locus. Genetic differentiation was assessed in a randomly selected set of 436 cassava accessions, consisting of 155 African and 281 Latin American accessions. A genome-wide set of 36 SSR markers and a DArT array of approximately 1000 polymorphic clones were used to assess genetic diversity and differentiation. Cluster analyses were performed using principal coordinate analysis (PCoA). Results were compared with a priori expectations of genetic differentiation based on previous genetic analyses. Analyses of the two datasets generated broadly similar clustering patterns. However, SSRs revealed greater differentiation than DArTs, and more effectively recovered patterns of genetic differentiation observed in previous analyses (differentiation between Latin American and African accessions, and some geographical differentiation within each of these groups). These results suggest that SSR markers, while low throughput in comparison with DArTs, are relatively better at detecting genetic differentiation in cassava germplasm collections. Nonetheless, DArTs will likely prove useful in 'orphan crop' species, where alternative molecular markers have not been developed. Copyright © NIAB 2008.
Authors & Co-Authors
Hurtado, P.
Colombia, Cali
Centro Internacional de Agricultura Tropical
Olsen, Kenneth M.
United States, St. Louis
Washington University in St. Louis
Buitrago, C.
Colombia, Cali
Centro Internacional de Agricultura Tropical
Ospina, C.
Colombia, Cali
Centro Internacional de Agricultura Tropical
Marín, Juan Diego
Colombia, Cali
Centro Internacional de Agricultura Tropical
Duque, M.
Colombia, Cali
Centro Internacional de Agricultura Tropical
De Vicente, C.
Italy, Rome
Bioversity International
Wongtiem, P.
Thailand, Rayong
Rayong Field Crops Research Centre
Australia, Black Mountain
Cambia
Wenzel, P.
Australia, Black Mountain
Cambia
Killian, A.
Australia, Black Mountain
Cambia
Adeleke, Martina T.V.
Nigeria, Port Harcourt
Rivers State University
Fregene, Martín A.
Colombia, Cali
Centro Internacional de Agricultura Tropical
Statistics
Citations: 36
Authors: 12
Affiliations: 6
Identifiers
Doi:
10.1017/S1479262108994181
ISSN:
14792621
e-ISSN:
1479263X
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative