Advancing crop improvement through GWAS and beyond in mung bean
Accessing the underlying genetics of complex traits, especially in small grain pulses is an important breeding objective for crop improvement. Genome-wide association studies (GWAS) analyze thousands of genetic variants across several genomes to identify links with specific traits. This approach has...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1436532/full |
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| author | Syed Riaz Ahmed Muhammad Jawad Asghar Muhammad Jawad Asghar Amjad Hameed Amjad Hameed Maria Ghaffar Maria Ghaffar Muhammad Shahid Muhammad Shahid |
| author_facet | Syed Riaz Ahmed Muhammad Jawad Asghar Muhammad Jawad Asghar Amjad Hameed Amjad Hameed Maria Ghaffar Maria Ghaffar Muhammad Shahid Muhammad Shahid |
| author_sort | Syed Riaz Ahmed |
| collection | DOAJ |
| description | Accessing the underlying genetics of complex traits, especially in small grain pulses is an important breeding objective for crop improvement. Genome-wide association studies (GWAS) analyze thousands of genetic variants across several genomes to identify links with specific traits. This approach has discovered many strong associations between genes and traits, and the number of associated variants is expected to continue to increase as GWAS sample sizes increase. GWAS has a range of applications like understanding the genetic architecture associated with phenotype, estimating genetic correlation and heritability, developing genetic maps based on novel identified quantitative trait loci (QTLs)/genes, and developing hypotheses related to specific traits in the next generation. So far, several causative alleles have been identified using GWAS which had not been previously detected using QTL mapping. GWAS has already been successfully applied in mung bean (Vigna radiata) to identify SNPs/alleles that are used in breeding programs for enhancing yield and improvement against biotic and abiotic factors. In this review, we summarize the recently used advanced genetic tools, the concept of GWAS and its improvement in combination with structural variants, the significance of combining high-throughput phenotyping and genome editing with GWAS, and also highlights the genetic discoveries made with GWAS. Overall, this review explains the significance of GWAS with other advanced tools in the future, concluding with an overview of the current and future applications of GWAS with some recommendations. |
| format | Article |
| id | doaj-art-a410504a2c0447319988c3b4e6359250 |
| institution | DOAJ |
| issn | 1664-462X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-a410504a2c0447319988c3b4e63592502025-08-20T02:49:43ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-12-011510.3389/fpls.2024.14365321436532Advancing crop improvement through GWAS and beyond in mung beanSyed Riaz Ahmed0Muhammad Jawad Asghar1Muhammad Jawad Asghar2Amjad Hameed3Amjad Hameed4Maria Ghaffar5Maria Ghaffar6Muhammad Shahid7Muhammad Shahid8Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Science (NIAB-C, PIEAS), Faisalabad, PakistanNuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Science (NIAB-C, PIEAS), Faisalabad, PakistanPlant Breeding and Genetics Division, Mung Bean and Lentil Group, Nuclear Institute for Agriculture and Biology, Faisalabad, PakistanNuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Science (NIAB-C, PIEAS), Faisalabad, PakistanPlant Breeding and Genetics Division, Marker Assisted Breeding Group, Nuclear Institute for Agriculture and Biology, Faisalabad, PakistanNuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Science (NIAB-C, PIEAS), Faisalabad, PakistanPlant Breeding and Genetics Division, Mung Bean and Lentil Group, Nuclear Institute for Agriculture and Biology, Faisalabad, PakistanNuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Science (NIAB-C, PIEAS), Faisalabad, PakistanPlant Breeding and Genetics Division, Mung Bean and Lentil Group, Nuclear Institute for Agriculture and Biology, Faisalabad, PakistanAccessing the underlying genetics of complex traits, especially in small grain pulses is an important breeding objective for crop improvement. Genome-wide association studies (GWAS) analyze thousands of genetic variants across several genomes to identify links with specific traits. This approach has discovered many strong associations between genes and traits, and the number of associated variants is expected to continue to increase as GWAS sample sizes increase. GWAS has a range of applications like understanding the genetic architecture associated with phenotype, estimating genetic correlation and heritability, developing genetic maps based on novel identified quantitative trait loci (QTLs)/genes, and developing hypotheses related to specific traits in the next generation. So far, several causative alleles have been identified using GWAS which had not been previously detected using QTL mapping. GWAS has already been successfully applied in mung bean (Vigna radiata) to identify SNPs/alleles that are used in breeding programs for enhancing yield and improvement against biotic and abiotic factors. In this review, we summarize the recently used advanced genetic tools, the concept of GWAS and its improvement in combination with structural variants, the significance of combining high-throughput phenotyping and genome editing with GWAS, and also highlights the genetic discoveries made with GWAS. Overall, this review explains the significance of GWAS with other advanced tools in the future, concluding with an overview of the current and future applications of GWAS with some recommendations.https://www.frontiersin.org/articles/10.3389/fpls.2024.1436532/fullQTLsmung beanGWAShigh-throughput phenotypingstructural variants |
| spellingShingle | Syed Riaz Ahmed Muhammad Jawad Asghar Muhammad Jawad Asghar Amjad Hameed Amjad Hameed Maria Ghaffar Maria Ghaffar Muhammad Shahid Muhammad Shahid Advancing crop improvement through GWAS and beyond in mung bean Frontiers in Plant Science QTLs mung bean GWAS high-throughput phenotyping structural variants |
| title | Advancing crop improvement through GWAS and beyond in mung bean |
| title_full | Advancing crop improvement through GWAS and beyond in mung bean |
| title_fullStr | Advancing crop improvement through GWAS and beyond in mung bean |
| title_full_unstemmed | Advancing crop improvement through GWAS and beyond in mung bean |
| title_short | Advancing crop improvement through GWAS and beyond in mung bean |
| title_sort | advancing crop improvement through gwas and beyond in mung bean |
| topic | QTLs mung bean GWAS high-throughput phenotyping structural variants |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1436532/full |
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