miRNA Targeting &kappa;-Casein in Cow Mammary Gland Analyzed by Sequencing and Prediction

LI Wenqing; WANG Xiaoyang; LI Chenwan; ZHANG Guozhi; ZHAO Yaning; ZHANG Honglu; LI Wanli

doi:10.3969/j.issn.1006-267x.2021.12.052

Chinese Journal of Animal Nutrition >

2021 , Vol. 33 >Issue 12: 7131 - 7139

DOI: https://doi.org/10.3969/j.issn.1006-267x.2021.12.052

SHORT COMMUNICATION

miRNA Targeting κ-Casein in Cow Mammary Gland Analyzed by Sequencing and Prediction

LI Wenqing ,
WANG Xiaoyang ,
LI Chenwan ,
ZHANG Guozhi ,
ZHAO Yaning ,
ZHANG Honglu ,
LI Wanli

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1. College of Life Science, Henan Agricultural University, Zhengzhou 450002, China;
2. Animal Husbandry and Veterinary Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China

Received date: 2021-05-08

Online published: 2021-12-16

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Abstract

The aim of this study was to identify the miRNA targeting κ-casein (CSN3) in cow mammary gland analyzed by sequencing and prediction. Using small RNA sequencing, TargetScan prediction and RNAhybrid analysis, four possible targeting miRNA were screened, namely bta-miR-33a, bta-miR-2284ab, bta-miR-193b and bta-miR-193a-3p. Luciferase reporter assay of the CSN3-3'untranslated region (3'UTR) and four kinds of miRNA showed that bta-miR-193b and bta-miR-193a-3p could bind to the CSN3-3'UTR (P<0.01). Expressional trend of relative gene from milk somatic cell further verified the targeting relationship among bta-miR-193b, bta-miR-193a-3p and CSN3. These findings suggeste that bta-miR-193b and bta-miR-193a-3p can directly target CSN3. This may explain the decrease in the total amount of CSN3 protein in milk from peak lactation to late lactation. Our results provide an evidence for the regulation of milk proteins and pave the way for miRNA function studies.

Key words： miRNA; CSN3; cows; small RNA sequencing; prediction

Cite this article

LI Wenqing , WANG Xiaoyang , LI Chenwan , ZHANG Guozhi , ZHAO Yaning , ZHANG Honglu , LI Wanli . miRNA Targeting κ-Casein in Cow Mammary Gland Analyzed by Sequencing and Prediction[J]. Chinese Journal of Animal Nutrition, 2021 , 33(12) : 7131 -7139 . DOI: 10.3969/j.issn.1006-267x.2021.12.052

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