Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum

Govindarajulu, Rajanikanth; Hostetler, Ashley N.; Xiao, Yuguo; Chaluvadi, Srinivasa R.; Mauro-Herrera, Margarita; Siddoway, Muriel L.; Whipple, Clinton; Bennetzen, Jeffrey L.; Devos, Katrien M.; Doust, Andrew N.; Hawkins, Jennifer S.

doi:10.1093/g3journal/jkab024

Title: Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum

Journal Article · Thu Feb 04 00:00:00 EST 2021 · G3

DOI:https://doi.org/10.1093/g3journal/jkab024· OSTI ID:1816761

Govindarajulu, Rajanikanth ^[1]; Hostetler, Ashley N. ^[1]; Xiao, Yuguo ^[2];

^[3]; Mauro-Herrera, Margarita ^[4]; Siddoway, Muriel L. ^[2]; Whipple, Clinton ^[2]; Bennetzen, Jeffrey L. ^[3];

^[3];

^[4];

^[1]

West Virginia Univ., Morgantown, WV (United States)
Brigham Young Univ., Provo, UT (United States)
Univ. of Georgia, Athens, GA (United States)
Oklahoma State Univ., Stillwater, OK (United States)

Phenotypes such as branching, photoperiod sensitivity, and height were modified during plant domestication and crop improvement. Here, we perform quantitative trait locus (QTL) mapping of these and other agronomic traits in a recombinant inbred line (RIL) population derived from an interspecific cross between Sorghum propinquum and Sorghum bicolor inbred Tx7000. Using low-coverage Illumina sequencing and a bin-mapping approach, we generated ~1920 bin markers spanning ~875 cM. Phenotyping data were collected and analyzed from two field locations and one greenhouse experiment for six agronomic traits, thereby identifying a total of 30 QTL. Many of these QTL were penetrant across environments and co-mapped with major QTL identified in other studies. Other QTL uncovered new genomic regions associated with these traits, and some of these were environment-specific in their action. To further dissect the genetic underpinnings of tillering, we complemented QTL analysis with transcriptomics, identifying 6189 genes that were differentially expressed during tiller bud elongation. We identified genes such as Dormancy Associated Protein 1 (DRM1) in addition to various transcription factors that are differentially expressed in comparisons of dormant to elongating tiller buds and lie within tillering QTL, suggesting that these genes are key regulators of tiller elongation in sorghum. Our study demonstrates the usefulness of this RIL population in detecting domestication and improvement-associated genes in sorghum, thus providing a valuable resource for genetic investigation and improvement to the sorghum community.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1816761

Journal Information:: G3, Vol. 11, Issue 2; ISSN 2160-1836

Publisher:: Genetics Society of AmericaCopyright Statement

Country of Publication:: United States

Language:: English

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Title: Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum

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