[en] Genetic variation among 45 genotypes of sorghum (Sorghum bicolor L.) representing seven subpopulations was
assessed using three single primer amplification reaction (SPAR) methods viz., inter-simple sequence repeat
(ISSR), random amplified polymorphic DNA (RAPD) and directed amplification of minisatellite-region DNA
(DAMD). Totally 15 ISSR, 8 RAPD and 7 DAMD primers generated 263 amplification products, accounting for
84.6% polymorphism across all the genotypes. The Mantel's test of correlation revealed the best correlation between
ISSR and cumulative data with a correlation coefficient (r) of 0.84. Assessment of population diversity indicated
that the maximum intra population genetic diversity was recorded among high FeZn lines (HFL) having
maximum values of Nei's genetic diversity (h) (0.244), Shannon information index (I) (0.368) and the percentage
of polymorphic loci (Pp) (72.65%) while the corresponding lowest values of 0.074, 0.109 and 17.95% respectively
were observed among the members of MDT subpopulation. The mean coefficient of gene differentiation
(GST) and the gene flow (Nm) between populations were observed to be 0.396 and 0.7680 respectively. The
analysis of molecular variance (AMOVA) suggested that maximum genetic variation exists within populations
(95%) than among populations (5%). Thus the information obtained from this study could be utilized in sorghum
breeding programmes for the development of varieties with improved nutrition and agronomic values in future.
Disciplines :
Biotechnology
Author, co-author :
Satish, Lakkakula
Shilpha, Jayabalan
Pandian, Subramani
Rency, AS
Periyasamy, Rathinapriya
Stanislaus, Antony Ceasar ; Université de Liège - ULiège > Département des sciences de la vie > Génomique fonctionnelle et imagerie moléculaire végétale
Muthiah Joe
Ashok, Kumar
Manikandan, Ramesh
Language :
English
Title :
Analysis of genetic variation in sorghum (Sorghum bicolor (L.) Moench) genotypes with various agronomical traits using SPAR methods
Publication date :
October 2015
Journal title :
Gene
ISSN :
0378-1119
eISSN :
1879-0038
Publisher :
Elsevier, Netherlands
Volume :
576
Pages :
581-585
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
University Grants Commission, New Delhi, India (UGC order no. F.4-1/2006 (BSR)/7-326/2011(BSR)
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