In a new study, researchers from the Department of Biotechnology’s National Institute of Plant Genome Research (DBT-NIPGR), ICAR-Indian Agricultural Research Institute (ICAR-IARI), ICAR-National Rice Research Institute (ICAR-NRRI), Cuttack and University of Delhi South Campus (UDSC), have identified a region in the genome of rice, which seems to have the potential for improving productivity.
The scientists conducted their study by sequencing the genomes of four Indian genotypes (LGR, PB 1121, Sonasal & Bindli) that show contrasting phenotype in seed size/weight. After analyzing their genomic variations, they found that the Indian rice germplasms had much more genomic diversity than that estimated so far.
They then studied the DNA from 3,000 rice accessions from across the world along with the four Indian genotypes sequenced in the study. They identified one long (~6 Mb) genomic region, which had an unusually suppressed nucleotide diversity region across the centromere of chromosome 5. They named it as `low diversity region’ or LDR in short.
An in-depth multidimensional analysis of this region revealed that it had played an important role during domestication of rice varieties as it was present in most of the cultivated rice genotypes and absent in wild varieties. Most of the modern cultivated rice varieties belong to japonica and indica genotypes. They had this region prominently. In contrast, it was less prominent in the aus group rice varieties, which are closer to the wild type. Further studies revealed that the LDR region contained one QTL (Quantitative Trait Locus) region that was significantly associated with grain size/weight trait.
The new study assumes importance as in addition to genome-wide exploration, it has highlighted an important and a long domestication-related genomic region, which was found to be evolutionarily crafted to carry multiple agronomic traits associations. “We believe that in future efforts, this LDR region could be utilized for improving rice production by targeting various traits including the seed size QTL identified here”, team leader, Jitendra Kumar Thakur of DBT-NIPGR said.