Molecular Distinguishness among rice (Oryza sativa L.) landrace of Central India using microsatellite markers

Abstract

Molecular characterization of the genotypes gives precise information about the extent of genetic diversity which helps in the development of an appropriate breeding program. A total of 16 microsatellite (SSR) markers distributed across the rice genome were used for molecular characterization and discrimination of 100 local landraces of rice. The molecular data revealed a total of 24 alleles in 100 rice accessions, The number of alleles per locus generated by each marker ranged from 1 to 5 alleles with the mean of 1.5 alleles per locus and an average polymorphism information content (PIC) of 0.387. This suggests that these markers could be potentially used for molecular characterization of rice accession from various sources. Microsatellite markers (SSR) are also used to detect the genetic similarity of accessions of rice under study. The genetic similarity coefficient ranged from 0.76-1.00 as revealed by UPGMA cluster analysis using the 16 SSR markers. A total of four distinct groups resulted at a cut-off similarity coefficient of 0.83 among the 100 rice accessions. Allelic variability among the SSR markers was high enough to categorize landraces and to catalogue the genetic variability observed for future use. The information about the genetic diversity will be very useful for proper identification and selection of appropriate parents for breeding programs, including gene mapping, and ultimately for emphasizing the importance of marker-assisted selection (MAS) in rice improvement.

Genetic Dissection of Yield Determinants in Advance Breeding Lines (ABLs) of Rice (Oryza sativa L.) under Irrigated Condition of Chhattisgarh, India

“…One of the important approaches to rice breeding is hybridization and subsequent selection. Parents' choice is the first step in plant breeding program through hybridization [2]. Hence, it is prerequisite to understand the associations between yield and its component characteristics as well as direct and indirect effects of various yield component traits on grain yield.…”

Identification of markers for root traits using association mapping analysis in rice (Oryza sativa L.)

“…The stress can be managed by screening the drought tolerant cultivars with a focus on yield under stress in spite of the common cultivars like IR-64, IR-36, Swarna, Mahamaya, and Sambha Masuri (Verulkar et al,2010). This marker also associates with many QTLs for various root morphological traits such as root thickness, maximum root length, total root weight, deep root weight, deep root weight per tiller, and deep root to shoot ratio etc (Sao et al, 2020;Yadav et al, 1997). The physical location of marker RM-408 was on chromosome-8, 125297bp to 125487bp which was very close to D63 dwarf gene on the short arm of chromosome-8 near the telomere (Jing-Jing et al, 2013).…”