The influence of genetic structure on phenotypic diversity in the Australian mango (<i>Mangifera indica</i>) gene pool

Abstract Genomic selection is a promising breeding technique for tree crops to accelerate the development of new cultivars. However, factors such as genetic structure can create spurious associations between genotype and phenotype due to the shared history between populations with different trait values. Genetic structure can therefore reduce the accuracy of the genotype to phenotype map, a fundamental requirement of genomic selection models. Here, we employed 272 single nucleotide polymorphisms from 208 Mangifera indica cultivars to explore whether the genetic structure of the Australian mango gene pool explained variation in tree size, fruit blush colour and intensity. Our results show that genetic structure is weak, but cultivars imported from Southeast Asia (mainly those from Thailand) were genetically differentiated across multiple population genetic analyses. We find that genetic structure was strongly associated with phenotypic diversity in M. indica, suggesting that the history of these cultivars could drive spurious associations between loci and key mango phenotypes in the Australian mango gene pool. Incorporating such genetic structure in associations between genotype and phenotype has the potential to improve the accuracy of genomic selection, which can assist the development of new cultivars..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 09. Sept. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Wilkinson, Melanie J. [VerfasserIn]
Yamashita, Risa [VerfasserIn]
James, Maddie E. [VerfasserIn]
Bally, Ian S.E. [VerfasserIn]
Dillon, Natalie L. [VerfasserIn]
Ali, Asjad [VerfasserIn]
Hardner, Craig M. [VerfasserIn]
Ortiz-Barrientos, Daniel [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2022.09.04.506567

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI037201670