{"title":"Shared quantitative trait loci underlying root biomass and phenology in wheat (Triticum aestivum L.)","authors":"Maliheh Shaltouki-Rizi, Nathan Evan Smith, Gina Brown-Guedira, Mohsen Mohammadi","doi":"10.1111/jac.12700","DOIUrl":null,"url":null,"abstract":"<p>In this study, we investigated the genetic mapping of root biomass and root/shoot ratio. We utilized a large (<i>n</i> = 345) bi-parental recombinant inbred line (RIL) population from the ‘Penny’ × ‘Yecora-Rojo’ cross to investigate the partitioning of biomass above- and belowground and to identify the quantitative trait loci (QTL) that influence root biomass and root/shoot ratio. Genotyping of 345 RILs by using genotyping by sequencing produced 2918 single-nucleotide polymorphism markers by which a genome-wide map of 3507 cM was constructed. Phenotyping was conducted in an augmented design with large pots in controlled environment. We identified two significant QTL regions, QRt.peye-5A and QRt.peye-5B, which control root biomass and the root/shoot ratio. QRt.peye-5A, marking a 3.15 Mbp region on chromosome 5A, explained 11% of variations in root biomass and 9.5% of variations in root/shoot ratio, with the narrow region harbouring 28 genes. QRt.peye-5B, marking a 12.2 Mbp region on chromosome 5B, explained 7% of variations in root/shoot ratio and harbours 104 genes. The root/shoot ratio enhancing alleles at QRt.peye-5A and QRt.peye-5B come from ‘Penny’ and ‘Yecora-Rojo’ respectively. These QTL regions contains genes such as the two MADS box transcription factors on the 5A QTL that are candidate genes for Vrn1 locus, and other genes previously postulated for root traits such as a COBRA-like <i>COBL2</i> and landmark hormonal responses genes such as <i>IAA16</i>, <i>IAA4</i> and <i>BRI1</i>, <i>DREB2A-INTERACTING PROTEIN2</i> (DRIP2) and <i>bHLH92</i> which has a role in amelioration of stress conditions.</p>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"210 3","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jac.12700","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agronomy and Crop Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jac.12700","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we investigated the genetic mapping of root biomass and root/shoot ratio. We utilized a large (n = 345) bi-parental recombinant inbred line (RIL) population from the ‘Penny’ × ‘Yecora-Rojo’ cross to investigate the partitioning of biomass above- and belowground and to identify the quantitative trait loci (QTL) that influence root biomass and root/shoot ratio. Genotyping of 345 RILs by using genotyping by sequencing produced 2918 single-nucleotide polymorphism markers by which a genome-wide map of 3507 cM was constructed. Phenotyping was conducted in an augmented design with large pots in controlled environment. We identified two significant QTL regions, QRt.peye-5A and QRt.peye-5B, which control root biomass and the root/shoot ratio. QRt.peye-5A, marking a 3.15 Mbp region on chromosome 5A, explained 11% of variations in root biomass and 9.5% of variations in root/shoot ratio, with the narrow region harbouring 28 genes. QRt.peye-5B, marking a 12.2 Mbp region on chromosome 5B, explained 7% of variations in root/shoot ratio and harbours 104 genes. The root/shoot ratio enhancing alleles at QRt.peye-5A and QRt.peye-5B come from ‘Penny’ and ‘Yecora-Rojo’ respectively. These QTL regions contains genes such as the two MADS box transcription factors on the 5A QTL that are candidate genes for Vrn1 locus, and other genes previously postulated for root traits such as a COBRA-like COBL2 and landmark hormonal responses genes such as IAA16, IAA4 and BRI1, DREB2A-INTERACTING PROTEIN2 (DRIP2) and bHLH92 which has a role in amelioration of stress conditions.
期刊介绍:
The effects of stress on crop production of agricultural cultivated plants will grow to paramount importance in the 21st century, and the Journal of Agronomy and Crop Science aims to assist in understanding these challenges. In this context, stress refers to extreme conditions under which crops and forages grow. The journal publishes original papers and reviews on the general and special science of abiotic plant stress. Specific topics include: drought, including water-use efficiency, such as salinity, alkaline and acidic stress, extreme temperatures since heat, cold and chilling stress limit the cultivation of crops, flooding and oxidative stress, and means of restricting them. Special attention is on research which have the topic of narrowing the yield gap. The Journal will give preference to field research and studies on plant stress highlighting these subsections. Particular regard is given to application-oriented basic research and applied research. The application of the scientific principles of agricultural crop experimentation is an essential prerequisite for the publication. Studies based on field experiments must show that they have been repeated (at least three times) on the same organism or have been conducted on several different varieties.