Article (Scientific journals)
Using molecular markers to assess the genetic diversity and population structure of finger millet (Eleusine coracana (L.) Gaertn.) from various geographical regions
Ramakrishnan, M.; Stanislaus, Antony Ceasar; Duraipandiyan, V et al.
2015In Genetic Resources and Crop Evolution, 63, p. 361-376
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Keywords :
AMOVA; PCO; RAPD; Southern India; Subpopulations; UPGMA
Abstract :
[en] A genetic diversity study of 128 finger millet genotypes collected from various geographical regions was performed using RAPD markers. The average locus obtained across all genotypes was 115.56 per primer and 0.9 per genotype; the average polymorphism was 76.48 % per primer and average PIC value was 0.40 per primer. The Jaccard’s similarity coefficient value ranged from 0.0085 to 0.81, and UPGMA cluster analysis showed that the bootstrap value was 100 %. These analyses confirmed that all the genotypes were genetically diverse. The genotypes have been grouped into twelve subclusters. Paiyur-2 and KRI007-01 showed the highest Jaccard’s similarity value of 0.81 in UPGMA analysis. All Indian genotypes were placed in subclusters EcC1 to EcC7 along with nine non-Indian genotypes based on UPGMA analysis. AMOVA analysis showed that the percentage of molecular variance among the various geographical regions was 1 %, among populations it was 5 % and within populations it was 94 %. PCA analysis revealed that first and third component axes accounted for 11.3 and 3.7 % of total variance respectively and genotypes were distributed according to their various geographical regions. The correlation value ranged from −0.4 to 0.5 in PCA loadings analysis. Cophenetic correlation coefficient value was 0.8802. In structural analysis, the genotypes were divided into four subpopulations (SP1, SP2, SP3 and SP4) and it revealed that all the four subpopulations had an admixture of alleles and only one pure line (Paiyur-2) was observed. There was good correspondence between the Radial tree analysis and the population structure. This study may form the basis for finger millet breeding and improvement program.
Disciplines :
Genetics & genetic processes
Author, co-author :
Ramakrishnan, M.
Stanislaus, Antony Ceasar ;  Université de Liège - ULiège > Département des sciences de la vie > Génomique fonctionnelle et imagerie moléculaire végétale
Duraipandiyan, V
Ignacimuthu, S
Language :
English
Title :
Using molecular markers to assess the genetic diversity and population structure of finger millet (Eleusine coracana (L.) Gaertn.) from various geographical regions
Publication date :
April 2015
Journal title :
Genetic Resources and Crop Evolution
ISSN :
0925-9864
eISSN :
1573-5109
Publisher :
Kluwer Academic Publishers, Netherlands
Volume :
63
Pages :
361-376
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Department of Biotechnology, New Delhi, India (BT/PR15011/AGR/02/772/2010).
Available on ORBi :
since 08 February 2018

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