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Meta-QTL analysis in wheat: progress, challenges and opportunities.

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Title: Meta-QTL analysis in wheat: progress, challenges and opportunities.
Authors: Sharma, Divya1 (AUTHOR), Kumari, Anita2 (AUTHOR), Sharma, Priya2 (AUTHOR), Singh, Anupma1 (AUTHOR), Sharma, Anshu1 (AUTHOR), Mir, Zahoor Ahmad1 (AUTHOR), Kumar, Uttam3 (AUTHOR), Jan, Sofora4 (AUTHOR), Parthiban, M.4 (AUTHOR), Mir, Reyazul Rouf4 (AUTHOR), Bhati, Pradeep3 (AUTHOR), Pradhan, Anjan Kumar1 (AUTHOR), Yadav, Aakash1 (AUTHOR), Mishra, Dwijesh Chandra5 (AUTHOR), Budhlakoti, Neeraj5 (AUTHOR), Yadav, Mahesh C.1 (AUTHOR), Gaikwad, Kiran B.6 (AUTHOR), Singh, Amit Kumar1 (AUTHOR), Singh, Gyanendra Pratap1 (AUTHOR), Kumar, Sundeep1 (AUTHOR) Sundeep.Kumar@icar.gov.in
Source: Theoretical & Applied Genetics. Dec2023, Vol. 136 Issue 12, p1-25. 25p.
Abstract: Wheat, an important cereal crop globally, faces major challenges due to increasing global population and changing climates. The production and productivity are challenged by several biotic and abiotic stresses. There is also a pressing demand to enhance grain yield and quality/nutrition to ensure global food and nutritional security. To address these multifaceted concerns, researchers have conducted numerous meta-QTL (MQTL) studies in wheat, resulting in the identification of candidate genes that govern these complex quantitative traits. MQTL analysis has successfully unraveled the complex genetic architecture of polygenic quantitative traits in wheat. Candidate genes associated with stress adaptation have been pinpointed for abiotic and biotic traits, facilitating targeted breeding efforts to enhance stress tolerance. Furthermore, high-confidence candidate genes (CGs) and flanking markers to MQTLs will help in marker-assisted breeding programs aimed at enhancing stress tolerance, yield, quality and nutrition. Functional analysis of these CGs can enhance our understanding of intricate trait-related genetics. The discovery of orthologous MQTLs shared between wheat and other crops sheds light on common evolutionary pathways governing these traits. Breeders can leverage the most promising MQTLs and CGs associated with multiple traits to develop superior next-generation wheat cultivars with improved trait performance. This review provides a comprehensive overview of MQTL analysis in wheat, highlighting progress, challenges, validation methods and future opportunities in wheat genetics and breeding, contributing to global food security and sustainable agriculture. [ABSTRACT FROM AUTHOR]
Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Meta-QTL analysis in wheat: progress, challenges and opportunities.
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  Data: <searchLink fieldCode="AR" term="%22Sharma%2C+Divya%22">Sharma, Divya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumari%2C+Anita%22">Kumari, Anita</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Priya%22">Sharma, Priya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Anupma%22">Singh, Anupma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Anshu%22">Sharma, Anshu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mir%2C+Zahoor+Ahmad%22">Mir, Zahoor Ahmad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Uttam%22">Kumar, Uttam</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jan%2C+Sofora%22">Jan, Sofora</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Parthiban%2C+M%2E%22">Parthiban, M.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mir%2C+Reyazul+Rouf%22">Mir, Reyazul Rouf</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bhati%2C+Pradeep%22">Bhati, Pradeep</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pradhan%2C+Anjan+Kumar%22">Pradhan, Anjan Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yadav%2C+Aakash%22">Yadav, Aakash</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mishra%2C+Dwijesh+Chandra%22">Mishra, Dwijesh Chandra</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Budhlakoti%2C+Neeraj%22">Budhlakoti, Neeraj</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yadav%2C+Mahesh+C%2E%22">Yadav, Mahesh C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gaikwad%2C+Kiran+B%2E%22">Gaikwad, Kiran B.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Amit+Kumar%22">Singh, Amit Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Gyanendra+Pratap%22">Singh, Gyanendra Pratap</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Sundeep%22">Kumar, Sundeep</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Sundeep.Kumar@icar.gov.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Theoretical+%26+Applied+Genetics%22">Theoretical & Applied Genetics</searchLink>. Dec2023, Vol. 136 Issue 12, p1-25. 25p.
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  Data: Wheat, an important cereal crop globally, faces major challenges due to increasing global population and changing climates. The production and productivity are challenged by several biotic and abiotic stresses. There is also a pressing demand to enhance grain yield and quality/nutrition to ensure global food and nutritional security. To address these multifaceted concerns, researchers have conducted numerous meta-QTL (MQTL) studies in wheat, resulting in the identification of candidate genes that govern these complex quantitative traits. MQTL analysis has successfully unraveled the complex genetic architecture of polygenic quantitative traits in wheat. Candidate genes associated with stress adaptation have been pinpointed for abiotic and biotic traits, facilitating targeted breeding efforts to enhance stress tolerance. Furthermore, high-confidence candidate genes (CGs) and flanking markers to MQTLs will help in marker-assisted breeding programs aimed at enhancing stress tolerance, yield, quality and nutrition. Functional analysis of these CGs can enhance our understanding of intricate trait-related genetics. The discovery of orthologous MQTLs shared between wheat and other crops sheds light on common evolutionary pathways governing these traits. Breeders can leverage the most promising MQTLs and CGs associated with multiple traits to develop superior next-generation wheat cultivars with improved trait performance. This review provides a comprehensive overview of MQTL analysis in wheat, highlighting progress, challenges, validation methods and future opportunities in wheat genetics and breeding, contributing to global food security and sustainable agriculture. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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