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Quantitative Epigenetics: A New Avenue for Crop Improvement
Plant breeding conventionally depends on genetic variability available in a species to improve a particular trait in the crop. However, epigenetic diversity may provide an additional tier of variation. The recent advent of epigenome technologies has elucidated the role of epigenetic variation in sha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594725/ https://www.ncbi.nlm.nih.gov/pubmed/34968304 http://dx.doi.org/10.3390/epigenomes4040025 |
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author | Gahlaut, Vijay Zinta, Gaurav Jaiswal, Vandana Kumar, Sanjay |
author_facet | Gahlaut, Vijay Zinta, Gaurav Jaiswal, Vandana Kumar, Sanjay |
author_sort | Gahlaut, Vijay |
collection | PubMed |
description | Plant breeding conventionally depends on genetic variability available in a species to improve a particular trait in the crop. However, epigenetic diversity may provide an additional tier of variation. The recent advent of epigenome technologies has elucidated the role of epigenetic variation in shaping phenotype. Furthermore, the development of epigenetic recombinant inbred lines (epi-RILs) in model species such as Arabidopsis has enabled accurate genetic analysis of epigenetic variation. Subsequently, mapping of epigenetic quantitative trait loci (epiQTL) allowed association between epialleles and phenotypic traits. Likewise, epigenome-wide association study (EWAS) and epi-genotyping by sequencing (epi-GBS) have revolutionized the field of epigenetics research in plants. Thus, quantitative epigenetics provides ample opportunities to dissect the role of epigenetic variation in trait regulation, which can be eventually utilized in crop improvement programs. Moreover, locus-specific manipulation of DNA methylation by epigenome-editing tools such as clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) can potentially facilitate epigenetic based molecular breeding of important crop plants. |
format | Online Article Text |
id | pubmed-8594725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85947252021-12-28 Quantitative Epigenetics: A New Avenue for Crop Improvement Gahlaut, Vijay Zinta, Gaurav Jaiswal, Vandana Kumar, Sanjay Epigenomes Review Plant breeding conventionally depends on genetic variability available in a species to improve a particular trait in the crop. However, epigenetic diversity may provide an additional tier of variation. The recent advent of epigenome technologies has elucidated the role of epigenetic variation in shaping phenotype. Furthermore, the development of epigenetic recombinant inbred lines (epi-RILs) in model species such as Arabidopsis has enabled accurate genetic analysis of epigenetic variation. Subsequently, mapping of epigenetic quantitative trait loci (epiQTL) allowed association between epialleles and phenotypic traits. Likewise, epigenome-wide association study (EWAS) and epi-genotyping by sequencing (epi-GBS) have revolutionized the field of epigenetics research in plants. Thus, quantitative epigenetics provides ample opportunities to dissect the role of epigenetic variation in trait regulation, which can be eventually utilized in crop improvement programs. Moreover, locus-specific manipulation of DNA methylation by epigenome-editing tools such as clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) can potentially facilitate epigenetic based molecular breeding of important crop plants. MDPI 2020-11-07 /pmc/articles/PMC8594725/ /pubmed/34968304 http://dx.doi.org/10.3390/epigenomes4040025 Text en © 2020 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Gahlaut, Vijay Zinta, Gaurav Jaiswal, Vandana Kumar, Sanjay Quantitative Epigenetics: A New Avenue for Crop Improvement |
title | Quantitative Epigenetics: A New Avenue for Crop Improvement |
title_full | Quantitative Epigenetics: A New Avenue for Crop Improvement |
title_fullStr | Quantitative Epigenetics: A New Avenue for Crop Improvement |
title_full_unstemmed | Quantitative Epigenetics: A New Avenue for Crop Improvement |
title_short | Quantitative Epigenetics: A New Avenue for Crop Improvement |
title_sort | quantitative epigenetics: a new avenue for crop improvement |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594725/ https://www.ncbi.nlm.nih.gov/pubmed/34968304 http://dx.doi.org/10.3390/epigenomes4040025 |
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