Literature DB >> 35371176

Corrigendum: Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome.

Cassia da Silva Linge1, Lichun Cai1,2, Wanfang Fu1, John Clark3, Margaret Worthington3, Zena Rawandoozi4, David H Byrne4, Ksenija Gasic1.   

Abstract

[This corrects the article DOI: 10.3389/fpls.2021.644799.].
Copyright © 2022 da Silva Linge, Cai, Fu, Clark, Worthington, Rawandoozi, Byrne and Gasic.

Entities:  

Keywords:  FarmCPU; QTN; RosBREED; SNP array; candidate gene analyses; mrMLM 4.0

Year:  2022        PMID: 35371176      PMCID: PMC8970174          DOI: 10.3389/fpls.2022.879112

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


In the original article, there was a mistake in Supplementary Figure 2 as published. Within the Supplementary Figure 2, in the Legend the red line was labeled as “All.” The corrected label is “Admixed.” In the original article, there was an error. In the manuscript, the term “broad sense heritability” should be replaced as “narrow sense heritability” in the three paragraphs shown below. A correction has been made to Materials and Methods, “Descriptive Analysis, Genetic Diversity, and Population Structure,” 1: “The descriptive analysis and the correlations between the traits were performed using the software Past (Hammer et al., 2001). The genetic diversity analysis was performed using the GenAlEx software (Peakall and Smouse, 2012). The narrow sense heritability was calculated using the R package Sommer (Covarrubias-Pazaran, 2016) using the h2.fun:” A correction has been made to Results, “Phenotypic Data,” 3: “The narrow sense heritability (h2) was estimated for all 14 traits (Supplementary Table 4). High average values of h2 (> 0.6) were observed for TA (0.87), RD (0.83), BD (0.77), ADH (0.77), FT (0.76), DAB (0.74), FDIA (0.73), SSC (0.72), Blush (0.71), FW (0.70), PW (0.70), RP (0.69), pH (0.69), and FF (0.68).” A correction has been made to Discussion, 1: “We have analyzed peach germplasm containing 620 individuals from three U.S. public fresh market breeding programs [University of Arkansas System Division of Agriculture (AR), Clemson University (SC) and Texas A&M University (TX)] for 14 traits over three seasons (2010, 2011, and 2012). Phenotypic variation was observed between individuals and seasons, and the mean values for BD, RD, FW, and SSC were lower than those reported in the Spanish and European germplasm (Hernández Mora et al., 2017; Font I Forcada et al., 2019). However, average values for RD and DAB observed in our study were in agreement with the values reported in the University of Guelph's peach germplasm, comprised of accessions originating from different regions across North America (Elsadr et al., 2019). A high and significant correlation between FW and FDIA (0.92) was previously observed in peach (da Silva Linge et al., 2015; Abdelghafar et al., 2020), as well as the positive correlation between RD and DAB (Elsadr et al., 2019) and the negative correlation between TA and pH (Abidi et al., 2011). In addition, the high estimated narrow sense heritability coefficients observed in this study ranging from 0.68 to 0.87, suggesting that the phenotypic variations of all traits are mainly affected by genetic factors, and therefore this dataset can be used for further genetic analyses.” A correction has been made to Results, “Genetic Variability, Population Structure, and Linkage Disequilibrium,” 3: “The LD decayed with increase of physical distance between SNPs in all groups (Supplementary Figure 2). Considering the admixed individuals, the average of r2 was 0.16. The physical distance over which LD decayed to half of its maximum value was around 540 kb. Different patterns of LD decays were observed in the three different groups. Group 3 revealed the highest average of r2 (0.32) and the longest physical distances in which LD decayed to half of its maximum value (1,620 kb), while group 2 showed shortest distance (480 kb). In the group 1, the LD decayed of its maximum value of r2 in ~540 kb.” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's Note

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  6 in total

1.  Integrated QTL detection for key breeding traits in multiple peach progenies.

Authors:  José R Hernández Mora; Diego Micheletti; Marco Bink; Eric Van de Weg; Celia Cantín; Nelson Nazzicari; Andrea Caprera; Maria Teresa Dettori; Sabrina Micali; Elisa Banchi; José Antonio Campoy; Elisabeth Dirlewanger; Patrick Lambert; Thierry Pascal; Michela Troggio; Daniele Bassi; Laura Rossini; Ignazio Verde; Bénédicte Quilot-Turion; François Laurens; Pere Arús; Maria José Aranzana
Journal:  BMC Genomics       Date:  2017-06-06       Impact factor: 3.969

2.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

3.  Evaluation of antioxidant compounds and total sugar content in a nectarine [Prunus persica (L.) Batsch] progeny.

Authors:  Walid Abidi; Sergio Jiménez; María Ángeles Moreno; Yolanda Gogorcena
Journal:  Int J Mol Sci       Date:  2011-10-19       Impact factor: 5.923

4.  Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer.

Authors:  Giovanny Covarrubias-Pazaran
Journal:  PLoS One       Date:  2016-06-06       Impact factor: 3.240

5.  Refining the Genomic Region Containing a Major Locus Controlling Fruit Maturity in Peach.

Authors:  H Elsadr; S Sherif; T Banks; D Somers; S Jayasankar
Journal:  Sci Rep       Date:  2019-05-17       Impact factor: 4.379

6.  Association Mapping Analysis for Fruit Quality Traits in Prunus persica Using SNP Markers.

Authors:  Carolina Font I Forcada; Verónica Guajardo; Sebastian Reyes Chin-Wo; María Ángeles Moreno
Journal:  Front Plant Sci       Date:  2019-01-17       Impact factor: 5.753

  6 in total

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