Award Abstract # 1546727
ECA-PGR: Dissecting Natural Mechanisms for Genome Content Variation and the Impact on Phenotypic Variation

NSF Org: IOS
Division Of Integrative Organismal Systems
Recipient: REGENTS OF THE UNIVERSITY OF MINNESOTA
Initial Amendment Date: July 30, 2016
Latest Amendment Date: August 10, 2022
Award Number: 1546727
Award Instrument: Continuing Grant
Program Manager: Gerald Schoenknecht
IOS
 Division Of Integrative Organismal Systems
BIO
 Directorate for Biological Sciences
Start Date: October 1, 2016
End Date: September 30, 2023 (Estimated)
Total Intended Award Amount: $2,198,800.00
Total Awarded Amount to Date: $2,198,800.00
Funds Obligated to Date: FY 2016 = $440,284.00
FY 2017 = $1,283,062.00

FY 2018 = $475,454.00
History of Investigator:
  • Candice Hirsch (Principal Investigator)
    cnhirsch@umn.edu
  • Marna Yandeau-Nelson (Co-Principal Investigator)
  • Suzanne McGaugh (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Minnesota-Twin Cities
2221 UNIVERSITY AVE SE STE 100
MINNEAPOLIS
MN  US  55414-3074
(612)624-5599
Sponsor Congressional District: 05
Primary Place of Performance: University of Minnesota-Twin Cities
1991 Upper Buford Circle
St Paul
MN  US  55108-6026
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): KABJZBBJ4B54
Parent UEI:
NSF Program(s): Plant Genome Research Project,
Cross-BIO Activities
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
01001617DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7218, BIOT, 9179, 7577, 9178, 9109, 9251
Program Element Code(s): 132900, 727500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

The nature of a plant or animal is defined in part by the DNA content in its genome. One might expect that this important role of imparting information is preserved in genomes over generations. In fact, genomes are known to be unstable and the constituent gene and non-gene content can change over time; genes can be copied, lost, or altered slightly, and such variation has significant impact on the appearance and function of an individual. As an example, the change in gene content in a corn plant can affect its growth or important agronomic traits, such as drought resistance, seed size or yield. The variation in gene content in individuals is puzzling to scientists and clearly beneficial to breeders: How and when does gene content change? What impact does it have on the traits, or phenotype, of the plant? And can the process be harnessed to identify new traits for agricultural improvement? This research project uses corn, or maize, as a model crop to answer these questions. The research is possible because the maize genome is remarkably variable in closely related lines, and there are extensive genetic resources that can be used to test how, when and why genome content changes. The project will identify signatures of genome change and will associate these changes to new traits. In the process, new participants will be trained from many educational levels. Specific efforts will focus on attracting young girls and women to scientific careers. Students and teachers will engage in a type of authentic research in plant genomics that has clear connections to outcomes in agriculture. Mentoring and training opportunities for female scientists will also be collated and disseminated through databases and public web portals.

Using maize as a model system, this project will systematically characterize the extent of genome content variation among a panel of diverse genotypes, identify the genetic mechanisms responsible for this variation in genome content through genomic signatures, and measure the impact on phenotypic variation. The research plan integrates genomics, metabolomics, quantitative genetics, and statistical genetics to further our understanding of genome content variation and the role mechanistic origin plays in phenotypic outcomes. Specifically, this project will 1) identify genome content variation between maize inbred lines using a combination of de novo genome assemblies and exome capture using a combination of short- and long-read sequencing technologies, 2) identify mechanistic signatures that elucidate the origin of genome content variation on a genome-wide scale, 3) implement Genome Wide Association Studies to identify genome content variation associated with quantitative, qualitative, essential, and dispensable phenotypic and chemotypic (surface lipid profiles and kernel content) classes of traits in a diverse panel of maize inbred lines, and 4) use statistical genetic approaches to determine if there is a relationship between the mechanisms that create genome content variation and phenotypic outcomes. The project also provides mentoring and training opportunities in new tools and technologies in metabolomics, genomics, and statistical genetics for high school, undergraduate and graduate students, postdoctoral associates, and faculty at primarily undergraduate institutions.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 21)
Anderson, S.**, M. Stitzer**, A. Brohammer**, P. Zhou, J. Noshay, C. O?Connor, C.D. Hirsch, J. Ross-Ibarra, C.N. Hirsch, N. Springer. "Transposable elements contribute to dynamic genome content in maize." The Plant Journal , 2019 10.1111/tpj.14489
Bornowski, N., K. Michel, J. Hamilton, S. Ou, A. Somwarpet-Seetharama, J. Jenkins, J. Grimwood, C. Plott, S. Shu, J. Talag, M. Kennedy, H. Hundly, V. Singan, K. Barry, C. Daum, Y. Yoshinga, J. Schmutz, C. Hirsch, M. Hufford, N. de Leon, S. Kaeppler, C.R. "Genomic variation within the maize Stiff Stalk heterotic germplasm pool" The Plant Genome , 2021 , p.E20114
Brohammer, A., T. Kono, N. Springer, S. McGaugh, C. Hirsch "Limited role of differential fractionation in genome content variation and function in maize (Zea mays L.) inbred lines" The Plant Journal , v.93 , 2018 , p.131
Burns, M., J. Renk, D. Eickholt, A. Gilbert, T. Hattery, M. Holmes, N. Anderson, A. Waters, S. Kalambur, S. Flint-Garcia, M. Yandeau-Nelson, G. Annor, C. Hirsch "Predicting Moisture Content During Maize Nixtamalization Using Machine Learning with NIR Spectroscopy" Theoretical and Applied Genetics , 2021 doi.org/10.1007/s00122-021-03926-8
Della Coletta, R., S. Fernandes, P. Monnahan, M. Mikel, M. Bohn, A. Lipka, C. Hirsch "Importance of genetic architecture in marker selection decisions for genomic prediction" Theoretical and Applied Genetics , v.136 , 2023 , p.220
Della Coletta, R., Y. Qiu, S. Ou, M. Hufford, C. Hirsch "How the pan-genome is changing crop genomics and improvement" Genome Biology , v.22 , 2021 , p.1-19
Hufford, M., A. Seetharam, M. Woodhouse, K. Chougule, S. Ou, J. Liu, W. Ricci, T. Guo, A. Olson, Y. Qiu, R. Della Coletta, S. Tittes, A. Hudson, A. Marand, S. Wei, Z. Lu, B. Wang, M. Tello-Ruiz, R. Piri, N. Wang, D. Kim, Y. Zeng, C. OConnor, X. Li, A. Gi "De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes" Science , v.373 , 2021 , p.655-662
Kono, T., A. Brohammer, S. McGaugh, C. Hirsch "Tandem Duplicate Genes in Maize are Abundant and Date to Two Distinct Periods of Time" Genes Genomes and Genetics , v.8 , 2018 , p.3049
Liu, J., A. Seetharam, K. Chougule, S. Ou, K. Swentowsky, J. Gent, V. Llaca, M. Woodhouse, N. Manchanda, G. Presting, D. Kudrna, M. Alabady, C. Hirsch, K. Fengler, D. Ware, T. Michael, M. Hufford, R.K. Dawe "Gapless assembly of maize chromosomes using long read technologies" Genome Biology , v.21 , 2020 , p.121
Li, Z., P. Zhou, R. Della Coletta, T. Zhang, A. Brohammer, B. Vaillancourt, A. Lipzen, C. Daum, K. Barry, N. de Leon, C.D. Hirsch, C.R. Buell, S. Kaeppler, N. Springer, C.N. Hirsch. "Single Parent Expression Drives Dynamic Gene Expression Complementation in Maize Hybrids" The Plant Journal , v.105 , 2020 , p.93-107
Mazaheri, M., M. Heckwolf, B. Vaillancourt, J. Gage, B. Burdo, S. Heckwolf, K. Barry, A. Lipzen, C. Ribeiro, T. Kono, H. Kaeppler, E. Spalding, C. Hirsch, C.R. Buell, N. de Leon, S. Kaeppler "Genome-wide association analysis of stalk biomass and anatomical traits in maize" BMC Plant Biology , v.19 , 2019
(Showing: 1 - 10 of 21)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The goal of our project "Dissecting Natural Mechanisms for Genome Content Variation and the Impact on Phenotypic Variation" was to understand genomic variation that exists between cultivars (i.e. varieties) within a species with regard to what genes are present in each cultivar and how the presence or absence of genes in a genome impact the phenotypic traits of a cultivar. There are a portion of genes that are present in all cultivars within a species, termed 'core genes', and another portion of genes that are present in only some cultivars within a species, termed 'dispensable genes'. There are many ways these dispensable genes can come to exist in a genome, but the relative contribution of each mechanism is not well understood, nor is the importance of these dispensable genes to trait variation within a species. In this project we sequenced the genomes of over 500 different maize cultivars to document the presence or absence of each gene in the genome in each of these cultivars. We studied signatures in the genome that indicate the likely origin of dispensable genes, and we linked this variation in gene content across cultivars to phenotypic trait variation. We found that while there are approximately 40,000 genes in any given maize cultivar, collectively across the species there are well over 100,000 genes that vary relative to their presence in any given cultivar. We evaluated many potential mechanisms that generate this variation and demonstrate 1) there is substantial variability in copy number of tandem duplicate genes due to unequal recombination and 2) transposable elements contribute significantly to the dynamic gene content in maize as they move throughout the genome. In contrast, differential fractionation, which are non-shared gene loss events that occur between cultivars following a whole-genome duplication event, played a more limited role in generating genome content variation. When linking this genetic variation to phenotypic trait variation, we demonstrated that genome-wide association analyses using both single nucleotide polymorphisms and structural variations (e.g. presence/absence of whole genes or transposons) can improve the power of quantitative mapping studies.  For example, we identified specific gene content variants associated with important phenotypic traits, including 1) the presence/absence of the sugary enhancer1 gene that generates the super sweet flavors of fresh market sweet corn varieties, and 2) variation in the pericarp color1 genethat underlies variation in seed color. Further, we documented genome content complementation between the two major heterotic groups in US commercial corn germplasm that contributes to the superior performance of hybrid varieties over their inbred parents. This has important implications in plant breeding decisions as demonstrated in a simulation study we conducted. 

The genomic variation present among the cultivars also drives phenotypic variation at the molecular level, specifically of metabolites. We focused on metabolites that comprise the cuticular waxes within the cuticle, which covers the external epidermal surfaces of aerial plant tissues to provide a protective barrier against environmental stresses. We observed substantial natural variation in cuticular wax load and composition on maize silks, which are flower parts that facilitate pollination and therefore corn yield. Joint statistical analysis of weather parameters and silk cuticular wax composition suggests that precipitation patterns late in plant development, and solar radiation earlier in development impact cuticular wax composition. This work enhances our understanding of how weather modulates cuticular wax composition in genotype-specific manners. Finally, genome-wide association analyses of cuticular wax compositions across the cultivars identified novel candidate genes enriched for roles in regulatory mechanisms at the transcriptional, co-transcriptional, translational, and post-translational levels. Also implicated were protein-coding genes associated with known enzymatic functions in cuticular wax biosynthesis, and cuticular wax transport mechanisms. Collectively, these results have impact on future maize breeding programs targeting cuticle deposition as a means of enhanced stress response.

The successful completion of this project has provided important insights into the dynamics of intraspecies genomic variation and the impacts on phenotypic trait variation. This project successfully trained 6 post-docs, 7 graduate students, 45 undergraduate students, and 8 high school students in quantitative genetics, genomics, phenomics, biochemistry, and metabolomics, and 59 of the 66 individuals trained on this project were from groups traditionally underrepresented in STEM fields. All raw data generated throughout this project were deposited at NCBI SRA (sequence data) and the PMR (surface lipid profiles). Results of this project have been widely disseminated to the community through 22 peer-reviewed publications and numerous invited presentations. 

 


Last Modified: 01/07/2024
Modified by: Candice N Hirsch

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