Skip to Main content Skip to Navigation
Journal articles

Dissecting adaptive traits with nested association mapping: genetic architecture of inflorescence morphology in sorghum

Abstract : In the cereal crop sorghum (Sorghum bicolor) inflorescence morphology variation underlies yield variation and confers adaptation across precipitation gradients, but its genetic basis is poorly understood. We characterized the genetic architecture of sorghum inflorescence morphology using a global nested association mapping (NAM) population (2200 recombinant inbred lines) and 198,000 phenotypic observations from multi-environment trials for four inflorescence morphology traits (upper branch length, lower branch length, rachis length, and rachis diameter). Trait correlations suggest that lower and upper branch length are under somewhat independent control, while lower branch length and rachis diameter are highly pleiotropic. Joint linkage and genome-wide association mapping revealed an oligogenic architecture with 1-22 QTL per trait, each explaining 0.1-5.0% of variation across the entire NAM population. There is a significant enrichment (2.twofold) of QTL colocalizing with grass inflorescence gene homologs, notably with orthologs of maize Ramosa2 and rice Aberrant Panicle Organization1 and TAWAWA1. Still, many QTL do not colocalize with inflorescence gene homologs. In global georeferenced germplasm, allelic variation at the major inflorescence QTL is geographically patterned but only weakly associated with the gradient of annual precipitation. Comparison of NAM with diversity panel association suggests that naive association models may capture some true associations not identified by mixed linear models. Overall, the findings suggest that global inflorescence diversity in sorghum is largely controlled by oligogenic, epistatic, and pleiotropic variation in ancestral regulatory networks. The findings also provide a basis for genomics-enabled breeding of locally-adapted inflorescence morphology.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02911856
Contributor : Christine Molé <>
Submitted on : Monday, June 7, 2021 - 11:17:25 AM
Last modification on : Wednesday, June 9, 2021 - 3:08:30 AM

File

2020_Olatoye_G3.pdf
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Marcus Olatoye, Sandeep Marla, Zhenbin Hu, Sophie Bouchet, Ramasamy Perumal, et al.. Dissecting adaptive traits with nested association mapping: genetic architecture of inflorescence morphology in sorghum. G3, Genetics Society of America, 2020, 10 (5), pp.1785-1796. ⟨10.1534/g3.119.400658⟩. ⟨hal-02911856⟩

Share

Metrics

Record views

66

Files downloads

26