JOURNAL ARTICLE
Physiological and molecular insights into alternate bearing in mango using next-generation sequencing approaches.
Published In: Journal of Experimental Botany, 2025, v. 76, n. 6. P. 1585 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sharma, Nimisha; Vittal, Hatkari; Dubey, Anil K; Sharma, Radha M; Singh, Sanjay K; Sharma, Neha; Singh, Nisha; Khandelwal, Ashish; Gupta, Deepak K; Mishra, Gyan P; Meena, Mahesh Chand; Pandey, Rakesh; Singh, Nagendra Kumar 3 of 3
Abstract
This article investigates the physiological, biochemical, and molecular differences underlying the regular versus alternate bearing habits in two mango (Mangifera indica) varieties from India: the regular bearer Totapuri and the alternate bearer Bombay Green. Through comparative analyses of carbohydrate fractions, protein content, macro- and micronutrient accumulation, and RNA-sequencing of buds and flowers, the study identifies significant variations in sugar transport, nutrient storage, and gene expression related to metabolic, hormonal, and flowering pathways. Notably, Totapuri exhibited higher sugar and protein content in buds, stronger nutrient sink strength, and up-regulation of genes associated with alternate bearing, hormone signaling, and carbohydrate metabolism, supported by validation via quantitative reverse-transcription PCR (qRT-PCR). The identification of 202 single-nucleotide polymorphisms (SNPs) in 32 genes linked to alternate bearing provides potential molecular markers for breeding programs aimed at improving mango productivity by mitigating alternate bearing.
Additional Information
- Source:Journal of Experimental Botany. 2025/04, Vol. 76, Issue 6, p1585
- Document Type:Article
- Subject Area:Agriculture and Agribusiness
- Publication Date:2025
- ISSN:0022-0957
- DOI:10.1093/jxb/erae403
- Accession Number:184408121
- Copyright Statement:Copyright of Journal of Experimental Botany is the property of Oxford University Press / USA 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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