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http://krishi.icar.gov.in/jspui/handle/123456789/75973
Title: | Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs |
Other Titles: | Not Available |
Authors: | Seema Sheoran, Mamta Gupta, Shweta Kumari, Sandeep Kumar and Sujay Rakshit |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana 141004, India ICAR-Indian Agricultural Research Institute, Regional Station, Karnal 132001, India ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India ICAR-Indian Institute of Pulses Research, Regional Station, Phanda, Bhopal 462030, India |
Published/ Complete Date: | 2022-04-01 |
Project Code: | Not Available |
Keywords: | Abiotic stress, Candidate gene, Maize, Meta-QTL analysis |
Publisher: | Molecular Breeding |
Citation: | Sheoran, S., Gupta, M., Kumari, S., Kumar, S. and Rakshit, S., 2022. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs. Molecular Breeding, 42(5), pp.1-26. |
Series/Report no.: | Not Available; |
Abstract/Description: | Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress (heat, cold), and salinity stress, which are the major factors affecting maize production. To develop abiotic stress tolerance in maize, many quantitative trait loci (QTL) have been identified, but very few of them have been utilized successfully in breeding programs. In this context, the meta-QTL analysis of the reported QTL will enable the identification of stable/real QTL which will pave a reliable way to introgress these QTL into elite cultivars through marker-assisted selection. In this study, a total of 542 QTL were summarized from 33 published studies for tolerance to different abiotic stresses in maize to conduct meta-QTL analysis using BiomercatorV4.2.3. Among those, only 244 major QTL with more than 10% phenotypic variance were preferably utilised to carry out meta-QTL analysis. In total, 32 meta-QTL possessing 1907 candidate genes were detected for different abiotic stresses over diverse genetic and environmental backgrounds. The MQTL2.1, 5.1, 5.2, 5.6, 7.1, 9.1, and 9.2 control different stress-related traits for combined abiotic stress tolerance. The candidate genes for important transcription factor families such as ERF, MYB, bZIP, bHLH, NAC, LRR, ZF, MAPK, HSP, peroxidase, and WRKY have been detected for different stress tolerances. The identified meta-QTL are valuable for future climate-resilient maize breeding programs and functional validation of candidate genes studies, which will help to deepen our understanding of the complexity of these abiotic stresses. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Molecular Breeding |
Journal Type: | NAAS rated Journal |
NAAS Rating: | 8.59 |
Impact Factor: | 3.297 |
Volume No.: | 42(5) |
Page Number: | 1-26 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https:// doi. org/ 10. 1007/ s11032- 022- 01294-9. |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/75973 |
Appears in Collections: | CS-IIMR-Publication |
Files in This Item:
File | Description | Size | Format | |
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MetaQTL_abiotic stresses.pdf | 2.91 MB | Adobe PDF | View/Open |
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