TY - JOUR
T1 - Major impacts of widespread structural variation on sorghum
AU - Zhang, Zhihai
AU - Gomes Viana, Joao Paulo
AU - Zhang, Bosen
AU - Walden, Kimberly K.O.
AU - Müller Paul, Hans
AU - Moose, Stephen P.
AU - Morris, Geoffrey P.
AU - Daum, Chris
AU - Barry, Kerrie W.
AU - Shakoor, Nadia
AU - Hudson, Matthew
N1 - We thank Dr. Amy Marshall-Colon for her assistance with the data storage and computation resources, Drs. Todd Mockler and Jeremy Schmutz for assistance with data access, and Drs. John Vogel and Peggy Lemaux for prepublication access to the RTx430 genome information. This work was funded by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under award no. DE-SC0018420). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy. The work (proposal: 10.46936/10.25585/60001277) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/ 04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under contract no. DE-AC02-05CH11231. Author contributions: Z.Z. helped design the study, performed the analysis, and wrote the manuscript. J.P.G.V. offered R script recommendations. B.Z. contributed to the protocols of RNA extraction and purification and quantification and samples collection. K.K.O.W. offered advice for genome de novo assembly. H.M.P. provided suggestions for Python scripts. S.P.M. contributed to sample collection and RNA sample submission to JGI. G.P.M. assisted with sorghum genetics and phenotype information and provided the phenotypic data sets of BAP. C.D., K.W.B., and N.S. produced and coordinated DNA and RNA sequence data. M.E.H. obtained funding, designed the study, assisted with the analysis, and edited the manuscript.
We thank Dr. Amy Marshall-Colon for her assistance with the data storage and computation resources, Drs. Todd Mockler and Jeremy Schmutz for assistance with data access, and Drs. John Vogel and Peggy Lemaux for prepublication access to the RTx430 genome information. This work was funded by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under award no. DE-SC0018420). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy. The work (proposal: 10.46936/10.25585/60001277) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/ 04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under contract no. DE-AC02-05CH11231.
PY - 2024/2
Y1 - 2024/2
N2 - Genetic diversity is critical to crop breeding and improvement, and dissection of the genomic variation underlying agronomic traits can both assist breeding and give insight into basic biological mechanisms. Although recent genome analyses in plants reveal many structural variants (SVs), most current studies of crop genetic variation are dominated by single-nucleotide polymorphisms (SNPs). The extent of the impact of SVs on global trait variation, as well as their utility in genome-wide selection, is not yet understood. In this study, we built an SV data set based on whole-genome resequencing of diverse sorghum lines (n = 363), validated the correlation of photoperiod sensitivity and variety type, and identified SV hotspots underlying the divergent evolution of cellulosic and sweet sorghum. In addition, we showed the complementary contribution of SVs for heritability of traits related to sorghum adaptation. Importantly, inclusion of SV polymorphisms in association studies revealed genotype-phenotype associations not observed with SNPs alone. Three-way genome-wide association studies (GWAS) based on whole-genome SNP, SV, and integrated SNP + SV data sets showed substantial associations between SVs and sorghum traits. The addition of SVs to GWAS substantially increased heritability estimates for some traits, indicating their important contribution to functional allelic variation at the genome level. Our discovery of the widespread impacts of SVs on heritable gene expression variation could render a plausible mechanism for their disproportionate impact on phenotypic variation. This study expands our knowledge of SVs and emphasizes the extensive impacts of SVs on sorghum.
AB - Genetic diversity is critical to crop breeding and improvement, and dissection of the genomic variation underlying agronomic traits can both assist breeding and give insight into basic biological mechanisms. Although recent genome analyses in plants reveal many structural variants (SVs), most current studies of crop genetic variation are dominated by single-nucleotide polymorphisms (SNPs). The extent of the impact of SVs on global trait variation, as well as their utility in genome-wide selection, is not yet understood. In this study, we built an SV data set based on whole-genome resequencing of diverse sorghum lines (n = 363), validated the correlation of photoperiod sensitivity and variety type, and identified SV hotspots underlying the divergent evolution of cellulosic and sweet sorghum. In addition, we showed the complementary contribution of SVs for heritability of traits related to sorghum adaptation. Importantly, inclusion of SV polymorphisms in association studies revealed genotype-phenotype associations not observed with SNPs alone. Three-way genome-wide association studies (GWAS) based on whole-genome SNP, SV, and integrated SNP + SV data sets showed substantial associations between SVs and sorghum traits. The addition of SVs to GWAS substantially increased heritability estimates for some traits, indicating their important contribution to functional allelic variation at the genome level. Our discovery of the widespread impacts of SVs on heritable gene expression variation could render a plausible mechanism for their disproportionate impact on phenotypic variation. This study expands our knowledge of SVs and emphasizes the extensive impacts of SVs on sorghum.
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U2 - 10.1101/gr.278396.123
DO - 10.1101/gr.278396.123
M3 - Article
C2 - 38479835
SN - 1088-9051
VL - 34
SP - 286
EP - 299
JO - Genome Research
JF - Genome Research
IS - 2
ER -