Genetic Analysis of Walnut ( L.) Pellicle Pigment Variation Through a Novel, High-Throughput Phenotyping Platform

Overview

Journal G3 (Bethesda)

Publisher Oxford University Press

Specialties Genetics
Molecular Biology

Date 2020 Oct 3

PMID 33008832

Citations 3

Authors

Gina M Sideli

Peter McAtee

Annarita Marrano

Brian J Allen

Patrick J Brown

Timothy S Butterfield

Abhaya M Dandekar

Charles A Leslie

David B Neale

Affiliations

Soon will be listed here.

Abstract

Walnut pellicle color is a key quality attribute that drives consumer preference and walnut sales. For the first time a high-throughput, computer vision-based phenotyping platform using a custom algorithm to quantitatively score each walnut pellicle in L* a* b* color space was deployed at large-scale. This was compared to traditional qualitative scoring by eye and was used to dissect the genetics of pellicle pigmentation. Progeny from both a bi-parental population of 168 trees ('Chandler' × 'Idaho') and a genome-wide association (GWAS) with 528 trees of the UC Davis Walnut Improvement Program were analyzed. Color phenotypes were found to have overlapping regions in the 'Chandler' genetic map on Chr01 suggesting complex genetic control. In the GWAS population, multiple, small effect QTL across Chr01, Chr07, Chr08, Chr09, Chr10, Chr12 and Chr13 were discovered. Marker trait associations were co-localized with QTL mapping on Chr01, Chr10, Chr14, and Chr16. Putative candidate genes controlling walnut pellicle pigmentation were postulated.

Citing Articles

Genome-Wide Identification of the Gene Family in Walnut ( L.) and Its Expression Profile in Different Colored Varieties.

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Integrated metabolomic and transcriptomic dynamic profiles of endopleura coloration during fruit maturation in three walnut cultivars.

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