2015
DOI: 10.1007/s10722-015-0255-1
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Using molecular markers to assess the genetic diversity and population structure of finger millet (Eleusine coracana (L.) Gaertn.) from various geographical regions

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Cited by 56 publications
(24 citation statements)
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“…et al (2014) used more accessions (190) than the current study but reported less polymorphism. Consistent with studies in other crops, SSR markers used in the current and previous studies (Dida et al 2008;Arya et al 2013) gave higher PIC values than other genetic diversity studies in finger millet with other markers such as ISSRs (Gupta et al 2010) and RAPDs (Das and Misra 2010;Bezawuletaw 2011;Ramakrishnan et al 2015). Although SNP markers have also been shown to be informative in other polyploid cereal crops such as wheat (Wang et al 2014), there are currently no known SNP assays developed for finger millet.…”
Section: Discussionsupporting
confidence: 84%
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“…et al (2014) used more accessions (190) than the current study but reported less polymorphism. Consistent with studies in other crops, SSR markers used in the current and previous studies (Dida et al 2008;Arya et al 2013) gave higher PIC values than other genetic diversity studies in finger millet with other markers such as ISSRs (Gupta et al 2010) and RAPDs (Das and Misra 2010;Bezawuletaw 2011;Ramakrishnan et al 2015). Although SNP markers have also been shown to be informative in other polyploid cereal crops such as wheat (Wang et al 2014), there are currently no known SNP assays developed for finger millet.…”
Section: Discussionsupporting
confidence: 84%
“…The weighted neighbour-joining tree constructed from pairwise genetic distances in the current study revealed that the clustering of African accessions was not entirely based on their geographical origin, confirming earlier reports for cultivated finger millet (Babu et al 2007;Dida et al 2008;Bezawuletaw 2011;Nethra et al 2014;Manyasa et al 2015). Previous studies that included both Asian and African finger millet collections revealed a distinct clustering pattern between Asian and African collections but not within each collection (Dida et al 2008;Arya et al 2013;Ramakrishnan et al 2015). The lower levels of geographical clustering within African collections could be attributed to cross-boundary farmer-tofarmer seed exchange, inter-population seed dispersal, migration and gene flow.…”
Section: Discussionmentioning
confidence: 86%
“…This study found high percentage of polymorphism (77.78%) using six ISSR primers with inclusion of large number of finger millet accessions from diverse ecological condition and large geographical range such as Ethiopia, Zimbabwe and India. Similarly, Ramakrishnan et al (2016) reported 76.48% polymorphism on 128 genotypes using RAPD marker, Babu et al (2007) reported 91% polymorphism in 32 genotypes using RAPD marker; Bezaweletaw (2011) reported 72.35% percentage of polymorphism on 66 genotypes of finger millet from Ethiopia and Eritrea, and Fakrudin et al (2004) reported 85.82% percentage of polymorphism on 32 germplasms from Indian, while Panwar et al (2010) reported 56.17% polymorphisms in 83 genotypes using RAPD marker, Babu et al (2014) reported only 46% polymorphism in 190 genotypes of finger millet using SSR makers; Salimath et al (1995) reported 26% percentage of polymorphism on 17 genotypes of finger millet from Africa, Asia and Brazil. It may be because finger millet is a highly self-pollinated crop which resulted in low level of polymorphism by SSR marker analysis (Dida et al, 2007).…”
Section: Polymorphism and Genetic Diversitymentioning
confidence: 98%
“…This could be attributed to narrow genetic pool of cultivated finger millet. However, studies using RAPD markers for genetic diversity observed higher polymorphism ranging from 35 to 100% (Fakrudin et al, 2004; Kalyana Babu et al, 2007; Das and Misra, 2010; Kumari and Pande, 2010; Panwar et al, 2010a; Singh and Kumar, 2010; Ramakrishnan et al, 2015). In all these studies, phenograms based on the RAPD markers data could clearly distinguish the genotypes from different geographical regions as separate clusters.…”
Section: Molecular Markers For Assessing Genetic Diversity Species Rmentioning
confidence: 99%