Abstract
Silphium integrifolium (Asteraceae) has been identified as a candidate for domestication as a perennial oilseed crop and is assumed to have sporophytic self-incompatibility system—the genetic basis of which is not well understood in the Asteraceae. To address this gap, we sought to map the genomic location of the self-recognition locus (S-locus) in this species. We used a biparental population and genotyping-by-sequencing to create the first genetic linkage map for this species, which contained 198 SNP markers and resolved into the correct number of linkage groups. Then we developed a novel crossing scheme and set of analysis methods in order to infer S-locus genotypes for a subset of these individuals, allowing us to map the trait. Finally, we evaluated potential genes of interest using synteny analysis with the annual sunflower (Helianthus annuus) and lettuce (Lactuca sativa) genomes. Our results confirm that S. integrifolium does indeed have a sporophytic self-incompatibility system. Our method is effective and efficient, allowed us to map the S. integrifolium S-locus using fewer resources than existing methods, and could be readily applied to other species.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 304-312 |
| Number of pages | 9 |
| Journal | Heredity |
| Volume | 128 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2022 |
Bibliographical note
Funding Information:Funding for this work was provided by The Perennial Agriculture project in conjunction with The Land Institute and the Malone Family Land Preservation Fund, the United States Department of Agriculture’s National Institute of Food and Agriculture Grant no. 2019-67011-29607 to JHP, the Minnesota Department of Agriculture - Forever Green Agricultural Initiative, and NSF grant #1737827 Dimensions US-China to YB. The authors thank Shannon Lee Anderson, Karen Beaubein, and Jill Ekar for their help in completing the controlled crosses for this experiment. In addition, the authors thank Dr. Kevin Dorn for assistance in developing a GBS protocol, Dr. Adam Herman for bioinformatics advice, and Dr. Owen Beisel for inspiring the hill-climbing algorithm method. Finally, the authors acknowledge the Minnesota Supercomputing Institute (MSI) at the University of Minnesota for providing computing resources that contributed to the analysis of this study.
Funding Information:
Funding for this work was provided by The Perennial Agriculture project in conjunction with The Land Institute and the Malone Family Land Preservation Fund, the United States Department of Agriculture’s National Institute of Food and Agriculture Grant no. 2019-67011-29607 to JHP, the Minnesota Department of Agriculture - Forever Green Agricultural Initiative, and NSF grant #1737827 Dimensions US-China to YB. The authors thank Shannon Lee Anderson, Karen Beaubein, and Jill Ekar for their help in completing the controlled crosses for this experiment. In addition, the authors thank Dr. Kevin Dorn for assistance in developing a GBS protocol, Dr. Adam Herman for bioinformatics advice, and Dr. Owen Beisel for inspiring the hill-climbing algorithm method. Finally, the authors acknowledge the Minnesota Supercomputing Institute (MSI) at the University of Minnesota for providing computing resources that contributed to the analysis of this study.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to The Genetics Society.
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't
- Research Support, U.S. Gov't, Non-P.H.S.
