Division of Fruits and Horticultural Technology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Indian Council of Agricultural Research, Krishi Anusandhan Bhawan-II, Pusa Campus, New Delhi, 110012, India.
Biotechnol Lett. 2020 Jun;42(6):1035-1050. doi: 10.1007/s10529-020-02863-8. Epub 2020 Mar 19.
This study is to understand a comprehensive perspective on the molecular mechanisms underlying alternate bearing in mango (Mangifera indica L.) via transcriptome wide gene expression profiling of both regular and irregular mango varieties.
Transcriptome data of regular (Neelam) and irregular (Dashehari) mango varieties revealed a total of 42,397 genes. Out of that 12,557 significantly differentially expressed genes were identified, of which 6453 were found to be up-regulated and 6104 were found to be down-regulated genes. Further, many of the common unigenes which were involved in hormonal regulation, metabolic processes, oxidative stress, ion homeostasis, alternate bearing etc. showed significant differences between these two different bearing habit varieties. Pathway analysis showed the highest numbers of differentially expressed genes were related with the metabolic processes (523). A total of 26 alternate bearing genes were identified and principally three genes viz; SPL-like gene (GBVX01015803.1), Rumani GA-20-oxidase-like gene (GBVX01019650.1) and LOC103420644 (GBVX01016070.1) were significantly differentially expressed (at log2FC and pval less than 0.05) while, only single gene (gbGBVW01004309.1) related with flowering was found to be differentially expressed. A total of 15 differentially expressed genes from three important pathways viz; alternate bearing, carbohydrate metabolism and hormone synthesis were validated using Real time PCR and results were at par with in silico analysis.
Deciphering the differentially expressed genes (DEGs) and potential candidate genes associated with alternate bearing, hormone and carbohydrate metabolism pathways will help for illustrating the molecular mechanisms underlying the bearing tendencies in mango.
本研究通过对正常(Neelam)和异常(Dashehari)芒果品种的转录组全基因表达谱分析,了解芒果(Mangifera indica L.)果实交替结果的分子机制。
正常和异常芒果品种的转录组数据共显示了 42397 个基因。其中鉴定出 12557 个显著差异表达基因,其中 6453 个基因上调,6104 个基因下调。此外,许多参与激素调节、代谢过程、氧化应激、离子稳态、果实交替等的常见基因在这两种不同结果习性的品种之间存在显著差异。通路分析表明,差异表达基因数量最多的与代谢过程(523 个)有关。共鉴定出 26 个果实交替结果基因,其中 3 个基因(SPL-like 基因(GBVX01015803.1)、Rumani GA-20-氧化酶样基因(GBVX01019650.1)和 LOC103420644(GBVX01016070.1))表达差异显著(log2FC 和 pval 均小于 0.05),而仅发现 1 个与开花相关的基因(gbGBVW01004309.1)表达差异显著。通过实时 PCR 对三个重要通路(果实交替结果、碳水化合物代谢和激素合成)中的 15 个差异表达基因进行了验证,结果与计算机分析结果一致。
阐明与果实交替结果、激素和碳水化合物代谢途径相关的差异表达基因(DEGs)和潜在候选基因,有助于阐明芒果果实结果倾向的分子机制。