| Literature DB >> 31740504 |
Zihao Zheng1,2, Stefan Hey1,3, Talukder Jubery4, Huyu Liu1,2,5, Yu Yang1,5, Lisa Coffey1, Chenyong Miao6, Brandi Sigmon7, James C Schnable8, Frank Hochholdinger3, Baskar Ganapathysubramanian4, Patrick S Schnable9,2,5.
Abstract
Determining the genetic control of root system architecture (RSA) in plants via large-scale genome-wide association study (GWAS) requires high-throughput pipelines for root phenotyping. We developed Core Root Excavation using Compressed-air (CREAMD), a high-throughput pipeline for the cleaning of field-grown roots, and Core Root Feature Extraction (COFE), a semiautomated pipeline for the extraction of RSA traits from images. CREAMD-COFE was applied to diversity panels of maize (Zea mays) and sorghum (Sorghum bicolor), which consisted of 369 and 294 genotypes, respectively. Six RSA-traits were extracted from images collected from >3,300 maize roots and >1,470 sorghum roots. Single nucleotide polymorphism (SNP)-based GWAS identified 87 TAS (trait-associated SNPs) in maize, representing 77 genes and 115 TAS in sorghum. An additional 62 RSA-associated maize genes were identified via expression read depth GWAS. Among the 139 maize RSA-associated genes (or their homologs), 22 (16%) are known to affect RSA in maize or other species. In addition, 26 RSA-associated genes are coregulated with genes previously shown to affect RSA and 51 (37% of RSA-associated genes) are themselves transe-quantitative trait locus for another RSA-associated gene. Finally, the finding that RSA-associated genes from maize and sorghum included seven pairs of syntenic genes demonstrates the conservation of regulation of morphology across taxa.Entities:
Mesh:
Year: 2019 PMID: 31740504 PMCID: PMC6997706 DOI: 10.1104/pp.19.00752
Source DB: PubMed Journal: Plant Physiol ISSN: 0032-0889 Impact factor: 8.340