Genetic Basis of Seedling Root Traits in Common Wheat (Triticum aestivum L.) Identified by Genome-Wide Linkage Mapping

Common wheat production is significantly influenced by abiotic stresses. Identifying the genetic loci for seedling root traits and developing the available molecular markers are crucial for breeding high yielding and stable varieties. In this study, five wheat seedling root traits, including root length (RL), root surface area (RA), root volume (RV), number of root tips (RT), and root dry weight (RW), were measured in the Wp-072/Wp-119 recombinant inbred line (RIL) population. Genotyping was conducted for the RIL population and their parents using the wheat 90K single-nucleotide polymorphism (SNP) chip. In total, three quantitative trait loci (QTLs) for RL (<i>QRL.gau-1DS</i>, <i>QRL.gau-1DL</i> and <i>QRL.gau-4AL</i>), two QTLs for RA (<i>QRA.gau-1D</i> and <i>QRA.gau-2DL</i>), one locus for RV (<i>QRV.gau-6AS</i>), two loci for RW (<i>QRW.gau-2DL</i> and <i>QRW.gau-2AS</i>), and two loci for RT (<i>QRT.gau-3AS</i> and <i>QRT.gau-6DL</i>) were identified, with each explaining 4.5-8.4% of the phenotypic variances, respectively. Among these, <i>QRT.gau-3AS</i>, <i>QRL.gau-4AL</i>, and <i>QRV.gau-6AS</i> overlapped with the previous reports, whereas the other seven QTLs were novel. The favorable alleles of <i>QRL.gau-1DS</i>, <i>QRL.gau-1DL</i>, <i>QRL.gau-4AL</i>, <i>QRA.gau-1D</i>, <i>QRW.gau-2AS</i>, <i>QRV.gau-6AS</i>, <i>QRT.gau-3AS</i>, and <i>QRT.gau-6DL</i> were contributed by Wp-072, whereas the other two loci originated from Wp-119. Additionally, five kompetitive allele-specific PCR (KASP) markers, <i>KASP-RL-1DL</i> for RL, <i>KASP-RA-1D</i> and <i>KASP-RA-2DL</i> for RA, <i>KASP-RW-2AS</i> and <i>KASP-RW-2DL</i> for RW, were developed and validated successfully in 149 wheat accessions. Furthermore, seven candidate genes mainly for plant hormones were selected and validated by quantitative real-time PCR (qRT-PCR). This study provides new loci, new candidate genes, available KASP markers, and varieties for optimizing wheat root system architecture.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-02-06
DOI
https://doi.org/10.3390/plants14030490
Citations
1
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Basis of Seedling Root Traits in Common Wheat (Triticum aestivum L.) Identified by Genome-Wide Linkage Mapping

Xiaole Ma, Lirong Yao, H. Zhang, Erjing Si et al.
1 citations
Plants
Wheat and Barley Genetics and Pathology
1.75
article

Genetic Basis of Seedling Root Traits in Common Wheat (Triticum aestivum L.) Identified by Genome-Wide Linkage Mapping

Xiaole Ma, Lirong Yao, H. Zhang, Erjing Si, Baochun Li, Juncheng Wang, Yaxiong Meng, Huajun Wang
article en
1 citations

Abstract

Common wheat production is significantly influenced by abiotic stresses. Identifying the genetic loci for seedling root traits and developing the available molecular markers are crucial for breeding high yielding and stable varieties. In this study, five wheat seedling root traits, including root length (RL), root surface area (RA), root volume (RV), number of root tips (RT), and root dry weight (RW), were measured in the Wp-072/Wp-119 recombinant inbred line (RIL) population. Genotyping was conducted for the RIL population and their parents using the wheat 90K single-nucleotide polymorphism (SNP) chip. In total, three quantitative trait loci (QTLs) for RL (<i>QRL.gau-1DS</i>, <i>QRL.gau-1DL</i> and <i>QRL.gau-4AL</i>), two QTLs for RA (<i>QRA.gau-1D</i> and <i>QRA.gau-2DL</i>), one locus for RV (<i>QRV.gau-6AS</i>), two loci for RW (<i>QRW.gau-2DL</i> and <i>QRW.gau-2AS</i>), and two loci for RT (<i>QRT.gau-3AS</i> and <i>QRT.gau-6DL</i>) were identified, with each explaining 4.5-8.4% of the phenotypic variances, respectively. Among these, <i>QRT.gau-3AS</i>, <i>QRL.gau-4AL</i>, and <i>QRV.gau-6AS</i> overlapped with the previous reports, whereas the other seven QTLs were novel. The favorable alleles of <i>QRL.gau-1DS</i>, <i>QRL.gau-1DL</i>, <i>QRL.gau-4AL</i>, <i>QRA.gau-1D</i>, <i>QRW.gau-2AS</i>, <i>QRV.gau-6AS</i>, <i>QRT.gau-3AS</i>, and <i>QRT.gau-6DL</i> were contributed by Wp-072, whereas the other two loci originated from Wp-119. Additionally, five kompetitive allele-specific PCR (KASP) markers, <i>KASP-RL-1DL</i> for RL, <i>KASP-RA-1D</i> and <i>KASP-RA-2DL</i> for RA, <i>KASP-RW-2AS</i> and <i>KASP-RW-2DL</i> for RW, were developed and validated successfully in 149 wheat accessions. Furthermore, seven candidate genes mainly for plant hormones were selected and validated by quantitative real-time PCR (qRT-PCR). This study provides new loci, new candidate genes, available KASP markers, and varieties for optimizing wheat root system architecture.

PlantsVol. 14(3)
Gansu Agricultural University (CN)
National Natural Science Foundation of China, Science and Technology Program of Gansu Province
Zero hunger
Openalex Percentile: Top 17%
Wheat and Barley Genetics and Pathology
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.