Genome‐wide mapping and prediction of plant architecture in a sorghum nested association mapping population. Issue 3 (7th August 2020)

• Record Type: Journal Article
• Authors: Olatoye, Marcus O.; Hu, Zhenbin; Morris, Geoffrey P.
• Is Part Of: œplant genome. Volume 13:Issue 3(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-07
• Subjects: Plant genomes -- Periodicals; Plant genome mapping -- Periodicals; 572.862
• DOI: 10.1002/tpg2.20038
• Languages: English
• ISSNs: 1940-3372

Abstract

Abstract: Modifying plant architecture is often necessary for yield improvement and climate adaptation, but we lack understanding of the genotype‐phenotype map for plant morphology in sorghum. Here, we use a nested association mapping (NAM) population that captures global allelic diversity of sorghum to characterize the genetics of leaf erectness, leaf width (at two stages), and stem diameter. Recombinant inbred lines ( n = 2200) were phenotyped in multiple environments (35, 200 observations) and joint linkage mapping was performed with ∼93, 000 markers. Fifty‐four QTL of small to large effect were identified for trait BLUPs (9–16 per trait) each explaining 0.4–4% of variation across the NAM population. While some of these QTL colocalize with sorghum homologs of grass genes (e.g., those involved in transcriptional regulation of hormone synthesis [rice SPINDLY ] and transcriptional regulation of development [rice Ideal plant architecture1 ]), most QTL did not colocalize with an a priori candidate gene (92%). Genomic prediction accuracy was generally high in five‐fold cross‐validation (0.65–0.83), and varied from low to high in leave‐one‐family‐out cross‐validation (0.04–0.61). The findings provide a foundation to identify the molecular basis of architecture variation in sorghum and establish genomic‐enabled breeding for improved plant architecture.