Unknown

Dataset Information

0

Assessment of genetic diversity of Saltol QTL among the rice (Oryza sativa L.) genotypes.


ABSTRACT: Eight Saltol quantitative trait locus (QTL) linked simple sequence repeat (SSR) markers of rice (Oryza sativa L.) were used to study the polymorphism of this QTL in 142 diverse rice genotypes that comprised salt tolerant as well as sensitive genotypes. The SSR profiles of the eight markers generated 99 alleles including 20rare alleles and 16 null alleles. RM8094 showed the highest number (13) of alleles followed by RM3412 (12), RM562 (11), RM493 (9) and RM1287 (8) while as, RM10764 and RM10745 showed the lowest number (6) of alleles. Based on the highest number of alleles and PIC value (0.991), we identified RM8094 as suitable marker for discerning salt tolerant genotypes from the sensitive ones. Based upon the haplotype analysis using FL478 as a reference (salt tolerant genotypes containing Saltol QTL), we short listed 68 rice genotypes that may have at least one allele of FL478 haplotype. Further study may confirm that some of these genotypes might have Saltol QTL and can be used as alternative donors in salt tolerant rice breeding programmes.

SUBMITTER: Ganie SA 

PROVIDER: S-EPMC4840144 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Assessment of genetic diversity of Saltol QTL among the rice (Oryza sativa L.) genotypes.

Ganie Showkat Ahmad SA   Borgohain Mrinmoi Jyoti MJ   Kritika Kashyap K   Talukdar Akshay A   Pani Dipti Ranjan DR   Mondal Tapan Kumar TK  

Physiology and molecular biology of plants : an international journal of functional plant biology 20160101 1


Eight Saltol quantitative trait locus (QTL) linked simple sequence repeat (SSR) markers of rice (Oryza sativa L.) were used to study the polymorphism of this QTL in 142 diverse rice genotypes that comprised salt tolerant as well as sensitive genotypes. The SSR profiles of the eight markers generated 99 alleles including 20rare alleles and 16 null alleles. RM8094 showed the highest number (13) of alleles followed by RM3412 (12), RM562 (11), RM493 (9) and RM1287 (8) while as, RM10764 and RM10745 s  ...[more]

Similar Datasets

| S-EPMC3998783 | biostudies-literature
| S-EPMC7538587 | biostudies-literature
| S-EPMC7736384 | biostudies-literature
| S-EPMC5615080 | biostudies-other
| S-EPMC4064972 | biostudies-literature