Pratik Satasiya, Sanyam Patel, Ritesh Patel, Om Prakash, Kaushal Modha, Vipul Parekh, Haimil Joshi, Vipul Patel, Ankit Chaudhary, Deepak Sharma, Maulik Prajapati

Meta-Analysis Sci Rep.; 2024 Mar 8; 14(1):5730. doi: 10.1038/s41598-024-54764-9.

Abstract

Rice output has grown globally, yet abiotic factors are still a key cause for worry. Salinity stress seems to have the more impact on crop production out of all abiotic stresses. Currently one of the most significant challenges in paddy breeding for salinity tolerance with the help of QTLs, is to determine the QTLs having the best chance of improving salinity tolerance with the least amount of background noise from the tolerant parent. Minimizing the size of the QTL confidence interval (CI) is essential in order to primarily include the genes responsible for salinity stress tolerance. By considering that, a genome-wide meta-QTL analysis on 768 QTLs from 35 rice populations published from 2001 to 2022 was conducted to identify consensus regions and the candidate genes underlying those regions responsible for the salinity tolerance, as it reduces the confidence interval (CI) to many folds from the initial QTL studies. In the present investigation, a total of 65 MQTLs were extracted with an average CI reduced from 17.35 to 1.66 cM including the smallest of 0.01 cM. Identification of the MQTLs for individual traits and then classifying the target traits into correlated morphological, physiological and biochemical aspects, resulted in more efficient interpretation of the salinity tolerance, identifying the candidate genes and to understand the salinity tolerance mechanism as a whole. The results of this study have a huge potential to improve the rice genotypes for salinity tolerance with the help of MAS and MABC.

See https://pubmed.ncbi.nlm.nih.gov/38459066/

Figure 3. Visualization of circos plot after MQTL analysis (A) Chromosome number (B) Marker density (C) LOD of the initial QTLs (D) R2 of initial QTLs (E) Confidence interval of initial QTLs (F) Number of candidate QTLs (G) Confidence interval of MQTLs (H) Genes identified in MQTL region (I) Homologous regions of the identified genes.