Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers

Mutegi, E and Sagnard, F and Semagn, K and Deu, M and Muraya, M M and Kanyenji, B and de Villiers, S M and Kiambi, D and Herselman, L and Labuschagne, M (2011) Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers. TAG Theoretical and Applied Genetics, 122 (5). pp. 989-1004.

[img] PDF - Published Version
Restricted to ICRISAT users only

Download (731kB) | Request a copy
[img]
Preview
PDF (Open access post-print) - Accepted Version
Download (516kB) | Preview

Abstract

Understanding the extent and partitioning of diversity within and among crop landraces and their wild/weedy relatives constitutes the first step in conserving and unlocking their genetic potential. This study aimed to characterize the genetic structure and relationships within and between cultivated and wild sorghum at country scale in Kenya, and to elucidate some of the underlying evolutionary mechanisms. We analyzed at total of 439 individuals comprising 329 cultivated and 110 wild sorghums using 24 microsatellite markers. We observed a total of 295 alleles across all loci and individuals, with 257 different alleles being detected in the cultivated sorghum gene pool and 238 alleles in the wild sorghum gene pool. We found that the wild sorghum gene pool harbored significantly more genetic diversity than its domesticated counterpart, a reflection that domestication of sorghum was accompanied by a genetic bottleneck. Overall, our study found close genetic proximity between cultivated sorghum and its wild progenitor, with the extent of crop-wild divergence varying among cultivation regions. The observed genetic proximity may have arisen primarily due to historical and/or contemporary gene flow between the two congeners, with differences in farmers' practices explaining inter-regional gene flow differences. This suggests that deployment of transgenic sorghum in Kenya may lead to escape of transgenes into wild-weedy sorghum relatives. In both cultivated and wild sorghum, genetic diversity was found to be structured more along geographical level than agro-climatic level. This indicated that gene flow and genetic drift contributed to shaping the contemporary genetic structure in the two congeners. Spatial autocorrelation analysis revealed a strong spatial genetic structure in both cultivated and wild sorghums at the country scale, which could be explained by medium- to long-distance seed movement.

Item Type: Article
Divisions: UNSPECIFIED
CRP: UNSPECIFIED
Uncontrolled Keywords: Ecological Risk-Assessment; Polymorphic DNA Rapd; Population-Structure; Allozyme Variation; Computer-Program; SSR Markers; Diversity; Landraces; Relatives; Flow
Agro Tags: <b>Agrotags</b> - sorghum | genetics | tillage equipment | genes | crops | alleles | social groups | sampling | planting | dna <br><b>Fishtags</b> - NOT-AVAILABLE<br><b>Geopoliticaltags</b> - kenya | africa | ethiopia | niger | morocco | usa | new york | act | eritrea | near east
Subjects: Mandate crops > Sorghum
Depositing User: Siva Shankar
Date Deposited: 31 May 2011 09:26
Last Modified: 10 Jun 2011 09:15
URI: http://oar.icrisat.org/id/eprint/57
Official URL: http://dx.doi.org/10.1007/s00122-010-1504-5
Projects: UNSPECIFIED
Funders: United States Agency for International Development
Acknowledgement: This study formed part of the project, "Environmental risk assessment for the introduction of genetically modified sorghum in Mali and Kenya" funded by the United States Agency for International Development (USAID) Biotechnology and Biodiversity Interface (BBI) Program. We are deeply indebted to the late Dr. Fabrice Sagnard (Principle Investigator), who offered exemplary leadership and immense scientific contribution to the entire project. We acknowledge Caroline Mwongera, Charles Marangu and Bernard Rono who participated in collections as well as farmers from various sorghum growing areas of Kenya and the National Genebank of Kenya for providing the seed samples used in this study.
Links:
View Statistics

Actions (login required)

View Item View Item