Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome
- 1Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
- 2Department of Horticulture, Michigan State University, East Lansing, MI, United States
- 3Department of Horticulture, University of Arkansas, Fayetteville, AR, United States
- 4Department of Horticultural Sciences, Texas A&M University, College Station, TX, United States
A Corrigendum on
Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome
by da Silva Linge, C., Cai, L., Fu, W., Clark, J., Worthington, M., Rawandoozi, Z., Byrne, D. H., and Gasic, K. (2021). Front. Plant Sci. 12:644799. doi: 10.3389/fpls.2021.644799
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.
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References
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da Silva Linge, C., Bassi, D., Bianco, L., Pacheco, I., Pirona, R., and Rossini, L. (2015). Genetic dissection of fruit weight and size in an F2 peach (Prunus persica (L.) Batsch) progeny. Mol. Breed. 35:271. doi: 10.1007/s11032-015-0271-z
Elsadr, H., Sherif, S., Banks, T., Somers, D., and Jayasankar, S. (2019). Refining the genomic region containing a major locus controlling fruit maturity in peach. Sci. Rep. 9:7522.
Font I Forcada, C., Guajardo, V., Chin-Wo, S. R., and Moreno, M. Á (2019). Association mapping analysis for fruit quality traits in Prunus persica using SNP markers. Front. Plant Sci. 9:2005. doi: 10.3389/fpls.2018.02005
Hammer, O., Harper, D., and Ryan, P. (2001). PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 1–9.
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Keywords: FarmCPU, mrMLM 4.0, candidate gene analyses, SNP array, RosBREED, QTN
Citation: da Silva Linge C, Cai L, Fu W, Clark J, Worthington M, Rawandoozi Z, Byrne DH and Gasic K (2022) Corrigendum: Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome. Front. Plant Sci. 13:879112. doi: 10.3389/fpls.2022.879112
Received: 18 February 2022; Accepted: 21 February 2022;
Published: 17 March 2022.
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Copyright © 2022 da Silva Linge, Cai, Fu, Clark, Worthington, Rawandoozi, Byrne and Gasic. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ksenija Gasic, a2dhc2ljQGNsZW1zb24uZWR1