Computational approaches to decipher miRNA-target association in Mango (Mangifera indica L.)

被引:3
作者
Yadav, Arvind Kumar [1 ,3 ]
Nigam, Deepti [2 ,4 ]
Gautam, Budhayash [1 ]
Mishra, A. K. [3 ]
机构
[1] Sam Higginbottom Univ Agr Technol & Sci, Dept Computat Biol & Bioinformat, Prayagraj 211007, Uttar Pradesh, India
[2] ICAR Indian Agr Stat Res Inst, Ctr Agr Bioinformat, Lib Ave, New Delhi 110012, India
[3] ICAR Indian Agr Res Inst, Agr Knowledge Management Unit, New Delhi 110012, India
[4] Cornell Univ, 334 Plant Sci Bldg,226 Tower Rd, Ithaca, NY 14853 USA
关键词
miRNAs; miRNA-targets; Mangifera indica; Computational approach; Expressed sequence tags; Target gene; WEB SERVER; IDENTIFICATION; MICRORNAS; GENES; BIOSYNTHESIS; ACCUMULATION; TOLERANCE;
D O I
10.1016/j.plgene.2021.100292
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
microRNAs (miRNAs) are tiny non-coding evolutionary conserved RNAs that play a regulatory role in various cellular and physiological processes of plants. The regulation of miRNA target genes plays a crucial role in plant growth and environmental stress response. Identification of miRNAs in mango (Mangifera indica) is still unex-plored, which is one of the most important commercial crop plants of the Anacardiaceae family. In the present study, computational approaches were used to identify miRNAs and their target genes using expressed sequence tags (ESTs) in mango. Functional annotations for the identified targets and assignment of gene ontology (GO) terms were performed. A total of 18 putative miRNAs were identified that belong to 12 diverse miRNA families. 44 potential target genes were predicted for 11 miRNAs. Functional annotation of targets suggested their key involvement in ripening, hormone, and transcription regulation. Overall, findings from this study will provide a broader insight into understanding the functions of miRNAs in M. indica.
引用
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页数:8
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