Comparative RNA sequencing based transcriptome profiling of regular bearing and alternate bearing mango (Mangifera indica L.) varieties reveals novel insights into the regulatory mechanisms underlying alternate bearing

Sharma, Nimisha; Singh, Anand Kumar; Singh, Sanjay Kumar; Mahato, Ajay Kumar; Srivastav, Manish; Singh, Nagendra

doi:10.1007/s10529-020-02863-8

Cited by 18 publications

(8 citation statements)

References 47 publications

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“…For a better understanding of flowering initiation, differential gene expression analysis among divergent genotypes is expected to provide meaningful insights (Shalom et al, 2014 ). Moreover, previous studies have focused either on the transcriptome (Sharma et al, 2020 ) or the metabolome of mango for flowering or other traits (Tan et al, 2018 , 2020 ; Shivashankara et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…It is difficult to comprehend such behavior of mango due to some natural traits including high heterozygosity, long juvenile phase, substantial fruit drop, and the requirement of larger areas for a conclusive evaluation (Lal et al, 2017). However, the availability of various modern facilities of genomics and molecular characterization is facilitating the understanding of flowering behavior not only in model plants but also in field and fruit crops (Sharma et al, 2019(Sharma et al, , 2020.…”

Section: Introductionmentioning

confidence: 99%

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Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango

Liang

Song

et al. 2022

Front. Plant Sci.

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Mango (Mangifera indica L.) is famous for its sweet flavor and aroma. China is one of the major mango-producing countries. Mango is known for variations in flowering intensity that impacts fruit yield and farmers' profitability. In the present study, transcriptome and metabolome analyses of three cultivars with different flowering intensities were performed to preliminarily elucidate their regulatory mechanisms. The transcriptome profiling identified 36,242 genes. The major observation was the differential expression patterns of 334 flowering-related genes among the three mango varieties. The metabolome profiling detected 1,023 metabolites that were grouped into 11 compound classes. Our results show that the interplay of the FLOWERING LOCUS T and CONSTANS together with their upstream/downstream regulators/repressors modulate flowering robustness. We found that both gibberellins and auxins are associated with the flowering intensities of studied mango varieties. Finally, we discuss the roles of sugar biosynthesis and ambient temperature pathways in mango flowering. Overall, this study presents multiple pathways that can be manipulated in mango trees regarding flowering robustness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango

Liang

Song

et al. 2022

Front. Plant Sci.

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“…Biennial or alternate, and irregular bearing occurs in mango and are influenced by the cultivar, agronomic practices, and the environment (Shivashankara and Mathai 2000;Sharma et al 2020). These phenomena all contribute to low productivity (Pandey 1989).…”

Section: Bearing Patternmentioning

confidence: 99%

The roles of non-structural carbohydrates in fruiting: a review focusing on mango (Mangifera indica)

Rossouw,

Orr,

Bennett

et al. 2024

Funct. Plant Biol.

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Reproductive development of fruiting trees, including mango (Mangifera indica L.), is limited by non-structural carbohydrates. Competition for sugars increases with cropping, and consequently, vegetative growth and replenishment of starch reserves may reduce with high yields, resulting in interannual production variability. While the effect of crop load on photosynthesis and the distribution of starch within the mango tree has been studied, the contribution of starch and sugars to different phases of reproductive development requires attention. This review focuses on mango and examines the roles of non-structural carbohydrates in fruiting trees to clarify the repercussions of crop load on reproductive development. Starch buffers the plant’s carbon availability to regulate supply with demand, while sugars provide a direct resource for carbon translocation. Sugar signalling and interactions with phytohormones play a crucial role in flowering, fruit set, growth, ripening and retention, as well as regulating starch, sugar and secondary metabolites in fruit. The balance between the leaf and fruit biomass affects the availability and contributions of starch and sugars to fruiting. Crop load impacts photosynthesis and interactions between sources and sinks. As a result, the onset and rate of reproductive processes are affected, with repercussions for fruit size, composition, and the inter-annual bearing pattern.

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“…In mango, differential expression analysis revealed the involvement of MiFT and MiAP1 genes and other positive regulators in regular bearing cultivar ’Amrapali‘ compared to alternate bearing cultivar ’Dashehari‘ [ 161 ]. Similarly, transcriptome analysis of regular (‘Neelam‘) and irregular (‘Dashehari‘) mango cultivars identified twenty-six alternate bearing genes, among which SPL -like gene, Rumani GA-20-oxidase-like gene and LOC103420644 were significantly differentially expressed [ 162 ]. A recent computational study based on Arabidopsis and apple sequences identified twenty-nine putative genes of mango related to alternate bearing, which can further be used for studying the phenomenon [ 163 ].…”

Section: Fruit Ripeningmentioning

confidence: 99%

Genomic Approaches for Improvement of Tropical Fruits: Fruit Quality, Shelf Life and Nutrient Content

Mathiazhagan

Chidambara

Laxman

et al. 2021

Genes

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The breeding of tropical fruit trees for improving fruit traits is complicated, due to the long juvenile phase, generation cycle, parthenocarpy, polyploidy, polyembryony, heterozygosity and biotic and abiotic factors, as well as a lack of good genomic resources. Many molecular techniques have recently evolved to assist and hasten conventional breeding efforts. Molecular markers linked to fruit development and fruit quality traits such as fruit shape, size, texture, aroma, peel and pulp colour were identified in tropical fruit crops, facilitating Marker-assisted breeding (MAB). An increase in the availability of genome sequences of tropical fruits further aided in the discovery of SNP variants/Indels, QTLs and genes that can ascertain the genetic determinants of fruit characters. Through multi-omics approaches such as genomics, transcriptomics, metabolomics and proteomics, the identification and quantification of transcripts, including non-coding RNAs, involved in sugar metabolism, fruit development and ripening, shelf life, and the biotic and abiotic stress that impacts fruit quality were made possible. Utilizing genomic assisted breeding methods such as genome wide association (GWAS), genomic selection (GS) and genetic modifications using CRISPR/Cas9 and transgenics has paved the way to studying gene function and developing cultivars with desirable fruit traits by overcoming long breeding cycles. Such comprehensive multi-omics approaches related to fruit characters in tropical fruits and their applications in breeding strategies and crop improvement are reviewed, discussed and presented here.

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Comparative RNA sequencing based transcriptome profiling of regular bearing and alternate bearing mango (Mangifera indica L.) varieties reveals novel insights into the regulatory mechanisms underlying alternate bearing

Cited by 18 publications

References 47 publications

Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango

Transcriptome and Metabolome Analyses Reveal the Involvement of Multiple Pathways in Flowering Intensity in Mango

The roles of non-structural carbohydrates in fruiting: a review focusing on mango (Mangifera indica)

Genomic Approaches for Improvement of Tropical Fruits: Fruit Quality, Shelf Life and Nutrient Content

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