03842naa a2200253 a 450000100080000000500110000800800410001902400350006010000160009524501800011126000090029150008640030052020830116465000150324765300410326265300290330365300170333265300550334970000170340470000170342170000160343870000170345477301170347110642622023-07-21       2023    bl uuuu     u00u1 u    #d7 a10.3389/fpls.2023.11247682DOI1 aQUEZADA, M.  aSingle-step genome-wide association study for susceptibility to Teratosphaeria nubilosa and precocity of vegetative phase change in Eucalyptus globulus.h[electronic resource]  c2023  aArticle history: Received 15 December 2022; Accepted 24 May 2023; Published 03 July 2023. -- Correspondence auhtor: Gustavo Balmelli gbalmelli@inia.org.uy -- Edited by: Shixiao Yu, Sun Yat-sen University, China. -- Reviewed by: Paulino Pérez-Rodríguez, Colegio de Postgraduados (COLPOS), Mexico; Sanushka Naidoo, University of Pretoria, South Africa. -- FUNDING: This work was supported by the Instituto Nacional de Investigación Agropecuaria (INIA). MQ received a postdoctoral fellowship from INIA. -- SUPPLEMENTARY MATERIAL: The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1124768/full#supplementary-material  -- LICENSE: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/ )  aMycosphaerella leaf disease (MLD) is one of the most prevalent foliar diseases of E. globulus plantations around the world. Since resistance management strategies have not been effective in commercial plantations, breeding to develop more resistant genotypes is the most promising strategy. Available genomic information can be used to detect genomic regions associated with resistance to MLD, which could significantly speed up the process of genetic improvement. In this study, we investigated the genetic basis of MLD resistance in a breeding population of E. globulus which was genotyped with the EUChip60K SNP array. Resistance to MLD was evaluated for resistance of the juvenile foliage, as defoliation and leaf spot severity, and for precocity of change to resistant adult foliage. Genome-wide association studies (GWAS) were carried out applying four Single-SNP models, a Genomic Best Linear Unbiased Prediction (GBLUP-GWAS) approach, and a Single-step genome-wide association study (ssGWAS). The Single-SNP and GBLUP-GWAS models detected 13 and 16 SNP-trait associations in chromosomes 2, 3 y 11; whereas the ssGWAS detected 66 SNP-trait associations in the same chromosomes, and additional significant SNP-trait associations in chromosomes 5 to 9 for the precocity of phase change (proportion of adult foliage). For this trait, the two main regions in chromosomes 3 and 11 were identified for the three approaches. The SNPs identified in these regions were positioned near the key miRNA genes, miR156.5 and miR157.4, which have a main role in the regulation of the timing of vegetative change, and also in the response to environmental stresses in plants. Our results outlined that ssGWAS was more powerful in detecting regions that affect resistance than conventional GWAS approaches. Additionally, suggest a polygenic genetic architecture for the heteroblastic transition in E. globulus and identified useful SNP markers for the development of marker-assisted selection strategies for resistance.  Copyright © 2023 Quezada, Giorello, Da Silva, Aguilar and Balmelli.  aEUCALYPTUS  aGenome-wide association study (GWAS)  aHeteroblastic transition  aLeaf disease  aSingle-step genome-wide association study (ssGWAS)1 aGIORELLO, F.1 aDA SILVA, C.1 aAGUILAR, I.1 aBALMELLI, G.  tFrontiers in Plant Science. 2023, Volume 14, 1124768. https://doi.org/10.3389/fpls.2023.1124768  -- OPEN ACCESS.