Genetic Signature Controlling Root System Architecture in Diverse Spring Wheat Germplasm.

Autor: Zaman Z; Department of Biotechnology, Mirpur University of Science and Technology (MUST), Pakistan.; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan., Iqbal R; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan.; Department of Botany, University of Agriculture, Faisalabad., Jabbar A; Department of Biotechnology, Mirpur University of Science and Technology (MUST), Pakistan., Zahra N; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan., Saleem B; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan., Kiran A; Department of Botany, University of Agriculture, Faisalabad., Maqbool S; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan., Rasheed A; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan., Naeem MK; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan., Khan MR; National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, Pakistan.
Jazyk: angličtina
Zdroj: Physiologia plantarum [Physiol Plant] 2024 Jan-Feb; Vol. 176 (1), pp. e14183.
DOI: 10.1111/ppl.14183
Abstrakt: Roots are the main sensing organ, initiating multiple signaling pathways in response to abiotic factors, including nutrients, drought, and salt stress. A focus on improving the root system architecture is a key strategy to mitigate these stresses in wheat crop. In the present study, a diversity panel comprising indigenous landraces and historical cultivars from Pakistan was characterized for the root system architecture (RSA) and important loci were identified using a genome-wide association study (GWAS). RSA of the diversity panel was characterized 30 days after sowing in brunch tubes, and root images were taken. A high-throughput root imaging analysis using Rhizovision software was performed by setting the scale to extract the eight RSA traits and four plant biomass-related traits. GWAS identified 323 association signals for 12 root and biomass traits present on all wheat chromosomes, while the most important and reliable genetic loci (based on pleotropic loci and candidate genes) were identified on chromosomes 2A, 2B, 5A, 5D, 6A, 7B, and 7D for RSA. SNP annotation and transcriptome profiling identified nine candidate genes regulating the RSA and plant biomass traits, including ROOTLESS WITH UNDETECTABLE MERISTEM1, MYB TRANSCRIPTION FACTOR4, BRASSINOSTEROID INSENSITIVE1, SLENDER RICE1, AUXIN-RESPONSIVE FACTOR25, SCARECROW, NARROW LEAF2, PIN-FORMED1 AND PHOSPHATE TRANSCRIPTION FACTOR1. This study provided pre-breeding information for deep-rooting genotypes and associated markers that will accelerate the incorporation of such traits in breeding.
(© 2024 Scandinavian Plant Physiology Society.)
Databáze: MEDLINE