Abstract
A meta-analysis of quantitative trait loci (QTLs) associated with following six major quality traits (i) arabinoxylan, (ii) dough rheology properties, (iii) nutritional traits, (iv) polyphenol content, (v) processing quality traits, and (vi) sedimentation volume was conducted in wheat. For this purpose, as many as 2458 QTLs were collected from the 50 mapping studies published during 2013-20. Of the total QTLs, 1126 QTLs were projected on to the consensus map saturated with 2,50,077 markers resulting into the identification of 110 meta-QTLs (MQTLs) with average confidence interval (CI) of 5.6 cM. These MQTLs had 18.84 times reduced CI compared to CI of initial QTLs. Fifty-one (51) MQTLs were also verified with the marker-trait associations (MTAs) detected in earlier genome-wide association studies (GWAS). Physical region occupied by a single MQTL ranged from 0.12 to 749.71 Mb with an average of 130.25 Mb. Candidate gene mining allowed the identification of 2533 unique gene models from the MQTL regions. In-silico expression analysis discovered 439 differentially expressed gene models with >2 transcripts per million (TPM) expression in grains and related tissues which also included 44 high-confidence candidate genes known to be involved in the various cellular and biochemical processes related to quality traits. Further, nine functionally characterized wheat genes associated with grain protein content, high molecular weight glutenin and starch synthase enzymes were also found to be co-localized with some of the MQTLs. In addition, synteny analysis between wheat and rice MQTL regions identified 23 wheat MQTLs syntenic to 16 rice MQTLs. Furthermore, 64 wheat orthologues of 30 known rice genes were detected in 44 MQTL regions. These genes encoded proteins mainly belonging to the following families: starch synthase, glycosyl transferase, aldehyde dehydrogenase, SWEET sugar transporter, alpha amylase, glycoside hydrolase, glycogen debranching enzyme, protein kinase, peptidase, legumain and seed storage protein enzyme.
Main Conclusion Meta-QTL analysis in wheat for major quality traits identified 110 MQTLs with reduced confidence interval. Candidate gene mining and expression analysis discovered differentially expressed genes involve in quality traits.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Author details,
1. Santosh Gudi Ph.D. student, Punjab Agricultural University, Ludhiana, India Email ID.: Santosh-pbg{at}pau.edu Phone no.: +91-7986168478 (Corresponding author)
2. Dinesh Kumar Saini Ph.D. student, Punjab Agricultural University, Ludhiana, India Email ID.: dineshsaini-pbg{at}pau.edu Phone no.: +91-6280758417
3. Gurjeet Singh Ph.D. student, Punjab Agricultural University, Ludhiana, India Email ID.: gurjeet-pbg{at}pau.edu Phone no.: +91-9462966845
4. Priyanka Halladakeri Ph.D. student, Anand Agricultural University, Gujarat, India Email ID.: priyankahalladakeri6798{at}gmail.com Phone no.: +91-7204170357
5. Pradeep Kumar M.Sc. Student, Punjab Agricultural University, Ludhiana, India Email ID.: pra12jangid{at}gmail.com Phone no.: +91-8949474953
6. Mohammad Shamshad Research Scholar, Punjab Agricultural University, Ludhiana, India Email ID.: shamshad.rattan{at}gmail.com Phone no.: +91-9653188786
7. Mohammad Jafar Tanin Ph.D. student, Punjab Agricultural University, Ludhiana, India Email ID.: jafartanin{at}gmail.com Phone no.: +91-8557919975
8. Dr Achla Sharma Senior Wheat Breeder, Punjab Agricultural University, Ludhiana, India Email ID.: achla{at}pau.edu Phone no.: +91-8146111166
Changed the author order
