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Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis
From bi-parental pure-inbred lines (PIL), immortalized backcross (i.e., IB(1) and IB(2), representing the two directions of backcrossing) and F(2) (i.e., IF(2)) populations can be developed. These populations are suitable for genetic studies on heterosis, due to the present of both homozygous and he...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112513/ https://www.ncbi.nlm.nih.gov/pubmed/37082336 http://dx.doi.org/10.3389/fpls.2023.1157778 |
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author | Huo, Xuexue Wang, Jiankang Zhang, Luyan |
author_facet | Huo, Xuexue Wang, Jiankang Zhang, Luyan |
author_sort | Huo, Xuexue |
collection | PubMed |
description | From bi-parental pure-inbred lines (PIL), immortalized backcross (i.e., IB(1) and IB(2), representing the two directions of backcrossing) and F(2) (i.e., IF(2)) populations can be developed. These populations are suitable for genetic studies on heterosis, due to the present of both homozygous and heterozygous genotypes, and in the meantime allow repeated phenotyping trials across multiple locations and years. In this study, we developed a combined approach of quantitative trait locus (QTL) mapping, when some or all of the four immortalized populations (i.e., PIL, IB(1), IB(2), and IF(2)) are available. To estimate the additive and dominant effects simultaneously and accurately, suitable transformations are made on phenotypic values from different populations. When IB(1) and IB(2) are present, summation and subtraction are used. When IF(2) and PIL are available, mid-parental values and mid-parental heterosis are used. One-dimensional genomic scanning is performed to detect the additive and dominant QTLs, based on the algorithm of inclusive composite interval mapping (ICIM). The proposed approach was applied to one IF(2) population together with PIL in maize, and identified ten QTLs on ear length, showing varied degrees of dominance. Simulation studies indicated the proposed approach is similar to or better than individual population mapping by QTL detection power, false discovery rate (FDR), and estimated QTL position and effects. |
format | Online Article Text |
id | pubmed-10112513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101125132023-04-19 Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis Huo, Xuexue Wang, Jiankang Zhang, Luyan Front Plant Sci Plant Science From bi-parental pure-inbred lines (PIL), immortalized backcross (i.e., IB(1) and IB(2), representing the two directions of backcrossing) and F(2) (i.e., IF(2)) populations can be developed. These populations are suitable for genetic studies on heterosis, due to the present of both homozygous and heterozygous genotypes, and in the meantime allow repeated phenotyping trials across multiple locations and years. In this study, we developed a combined approach of quantitative trait locus (QTL) mapping, when some or all of the four immortalized populations (i.e., PIL, IB(1), IB(2), and IF(2)) are available. To estimate the additive and dominant effects simultaneously and accurately, suitable transformations are made on phenotypic values from different populations. When IB(1) and IB(2) are present, summation and subtraction are used. When IF(2) and PIL are available, mid-parental values and mid-parental heterosis are used. One-dimensional genomic scanning is performed to detect the additive and dominant QTLs, based on the algorithm of inclusive composite interval mapping (ICIM). The proposed approach was applied to one IF(2) population together with PIL in maize, and identified ten QTLs on ear length, showing varied degrees of dominance. Simulation studies indicated the proposed approach is similar to or better than individual population mapping by QTL detection power, false discovery rate (FDR), and estimated QTL position and effects. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10112513/ /pubmed/37082336 http://dx.doi.org/10.3389/fpls.2023.1157778 Text en Copyright © 2023 Huo, Wang and Zhang https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Plant Science Huo, Xuexue Wang, Jiankang Zhang, Luyan Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title | Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title_full | Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title_fullStr | Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title_full_unstemmed | Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title_short | Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
title_sort | combined qtl mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112513/ https://www.ncbi.nlm.nih.gov/pubmed/37082336 http://dx.doi.org/10.3389/fpls.2023.1157778 |
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