henhaobio
Sign in

Theoretical and Applied GeneticsGeneticsPeer-reviewed journal article

Understanding genetic architecture overcomes tradeoffs between seed quality and insect resistance

Joseph R. WhiteiD, James P. McNellieiD, Kyle G. KeepersiD, Brian C. SmartiD, Zoe M. PortlasiD, Zach E Marcus, Nolan C. KaneiD, Jarrad R. PrasifkaiD, Brent S. HulkeiD

PDFDOIPreprint

Abstract

The sunflower (Helianthus annuus) pericarp protects the seed within from both abiotic and biotic stresses. Achenes with stronger pericarps are less susceptible to damage from insect feeding. Complicating the genetic improvement of pericarp strength is the negative correlation between pericarp thickness (a component of strength) and oil content. As breeding efforts have increased oil content, there has been a concomitant decrease in pericarp thickness. A logical sunflower improvement goal is to improve oil content while preserving pericarp strength through genetic mechanisms independent of the tradeoffs with pericarp thickness. To determine the genetic basis of oil content, pericarp strength, and thickness, we identified QTL in two populations; the Sunflower Association Mapping panel (Mandel et al., 2011) and a recombinant inbred line (RIL) population derived from a thin pericarp oilseed inbred (HA 467) crossed to a thick pericarp open pollinated variety from Turkiye (PI 170415). A region on chromosome 15 was associated with neighboring QTL for banded moth resistance, oil content, and pericarp thickness, partially underlying the trade-offs among these traits. Additional QTL on chromosome 5 and 14 for pericarp strength provide fewer trade-offs with oil content. QTL for pericarp strength on chromosome 5 and pericarp thickness on chromosome 16 were associated with large structural variants, with candidate gene presence/absence variation between the haplotypes on chromosome 5. Understanding the origin and nature of phenotypic tradeoffs is beneficial to plant biologists and sunflower breeders as they seek to understand the origin and genetic architecture of adaptive and maladaptive traits.

Citations
4
FWCI
2.15
Field percentile
top 14%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISTemme '20Temme '19Temme '19Earley '22Ingold '26Delen '26
67% semantic matchPlant Biology
A. A. Temme, K. L. Kerr, R. R. Masalia+2 more·bioRxiv·May 12, 2020