Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters

Full text
Author(s):
Crowell, Samuel [1] ; Korniliev, Pavel [2] ; Falcao, Alexandre [3] ; Ismail, Abdelbagi [4] ; Gregorio, Glenn [5] ; Mezey, Jason [2] ; McCouch, Susan [1, 2, 6]
Total Authors: 7
Affiliation:
[1] Cornell Univ, Plant Biol Sect, Sch Integrat Plant Sci, Ithaca, NY 14853 - USA
[2] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14853 - USA
[3] Univ Estadual Campinas, Dept Informat Syst, Inst Comp, BR-13083852 Sao Paulo - Brazil
[4] Int Rice Res Inst, Crop & Environm Sci Div, DAPO Box 7777, Manila 1301 - Philippines
[5] Int Rice Res Insititute, Plant Breeding Genet & Biotechnol Div, Los Banos 4031, Laguna - Philippines
[6] Cornell Univ, Plant Breeding & Genet Sect, Sch Integrat Plant Sci, 162 Emerson Hall, Ithaca, NY 14853 - USA
Total Affiliations: 6
Document type: Journal article
Source: NATURE COMMUNICATIONS; v. 7, FEB 2016.
Web of Science Citations: 49
Abstract

Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulation structure. Here we quantify 49 panicle phenotypes in 242 tropical rice accessions with the imaging platform PANorama. Using flowering as a covariate, we conduct a genome-wide association study (GWAS), detect numerous subpopulation-specific associations, and dissect multi-trait peaks using panicle phenotype covariates. Ten candidate genes in pathways known to regulate plant architecture fall under GWAS peaks, half of which overlap with quantitative trait loci identified in an experimental population. This is the first study to assess inflorescence phenotypes of field-grown material using a high-resolution phenotyping platform. Herein, we establish a panicle morphocline for domesticated rice, propose a genetic model underlying complex panicle traits, and demonstrate subtle links between panicle size and yield performance. (AU)

FAPESP's process: 11/03110-6 - 3D image analysis of plant roots for genotype-phenotype associations
Grantee:Alexandre Xavier Falcão
Support Opportunities: Scholarships abroad - Research