Abstract Detail

Functional Genetics/Genomics

DeTemple, Joseph [1], Mosquera, Veronica [2], Whipple, Clinton [3].

Floral Trait Differences between Gilia yorkii and G. capitata.

 Gilia yorkii and G. capitata are two closely related species that show striking differences in floral morphology. In this study, we are seeking to identify regions of the genome that differ between the two species and that are tightly correlated with differences in specific floral traits. G. yorkii and G. capitata are ideal for this kind of analysis because they produce a fertile hybrid that can be self-pollinated to create an F2 population. Furthermore, we chose to focus on the floral traits of these plants based on the success of similar flower hybridization experiments (see Wessinger et al, "Identification of major quantitative trait loci underlying floral pollination syndrome divergence in Penstemon") . Our data came from an F2 generation of 300 individuals that were grown under a controlled environment. One representative flower from each F2 plant was dissected and measured for 18 different floral traits. These F2 measurements were then compared to measurements taken from G. yorkii and G. capitata. From an initial analysis of these measurements, several traits showed promising segregation of phenotypes in the F2 population. In particular, stamen length and ovary width showed distributions that matched the distribution of G. yorkii almost exactly, thus indicating that genetic regions influencing this trait were inherited primarily from G. yorkii and not from G. capitata. This will make identifying those regions simpler in further analyses. In addition to collecting physical measurements, we also collected DNA samples and had them sequenced for genetic markers, resulting in 73,482 polymorphic markers. These were mapped to a reference genome of G. yorkii that was created with Pacbio and Illumina reads, and Hi-C for final scaffolding. Many of these markers showed significant segregation distortion. We are currently working on quality control tests on this subset of markers, and will then go on to do a QTL (Quantitative Trait Loci) analysis that will combine our morphological data with our genetic marker data to identify loci that are correlated with specific traits. Once we have this analysis, we also plan to go on and identify specific genes within loci that affect morphological differences between the two species

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1 - 1000 E 450 N #12, Provo, UT, 84606, United States
2 - Brigham Young University, Biology, 4102 Life Science Building (LSB), Provo, UT, 84602, USA
3 - BYU Department Of Biology, 4102 Lsb, Provo, UT, 84602, United States

quantitative trait loci
quantitative genetics
floral traits

Presentation Type: Poster
Session: P, Functional Genetics and Genomics Posters
Location: Virtual/Virtual
Date: Wednesday, July 29th, 2020
Time: 5:00 PM Time and date to be determined
Number: PCG004
Abstract ID:536
Candidate for Awards:None

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