Effects of chronic heat stress on mRNA and miRNA expressions in dairy cows

Liu, Guangbin; Liao, Yingxin; Sun, Baoli; Guo, Yongqing; Deng, Ming; Li, Yaokun; Liu, Dewu

doi:10.1016/j.gene.2020.144550

Cited by 16 publications

(12 citation statements)

References 47 publications

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“…The expression of miRNAs in dairy cattle mammary gland under heat stress was investigated [ 50 ] (483 known bovine miRNAs and 139 novel miRNAs were identified), which detected the heat-dependent differential modulation of miRNAs. Decreased expression of heat response-associated genes in blood during HS was also observed very recently in lactating cows [ 28 ]. However, it was not considered that if metabolism of the milking stage from Spring to Summer directly affects the gene expression levels.…”

Section: Discussionsupporting

confidence: 55%

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Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle

Luo

Brito

et al. 2022

J Animal Sci Biotechnol

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Background The study of molecular processes regulating heat stress response in dairy cattle is paramount for developing mitigation strategies to improve heat tolerance and animal welfare. Therefore, we aimed to identify quantitative trait loci (QTL) regions associated with three physiological indicators of heat stress response in Holstein cattle, including rectal temperature (RT), respiration rate score (RS), and drooling score (DS). We estimated genetic parameters for all three traits. Subsequently, a weighted single-step genome-wide association study (WssGWAS) was performed based on 3200 genotypes, 151,486 phenotypic records, and 38,101 animals in the pedigree file. The candidate genes located within the identified QTL regions were further investigated through RNA sequencing (RNA-seq) analyses of blood samples for four cows collected in April (non-heat stress group) and four cows collected in July (heat stress group). Results The heritability estimates for RT, RS, and DS were 0.06, 0.04, and 0.03, respectively. Fourteen, 19, and 20 genomic regions explained 2.94%, 3.74%, and 4.01% of the total additive genetic variance of RT, RS, and DS, respectively. Most of these genomic regions are located in the Bos taurus autosome (BTA) BTA3, BTA6, BTA8, BTA12, BTA14, BTA21, and BTA24. No genomic regions overlapped between the three indicators of heat stress, indicating the polygenic nature of heat tolerance and the complementary mechanisms involved in heat stress response. For the RNA-seq analyses, 2627 genes were significantly upregulated and 369 downregulated in the heat stress group in comparison to the control group. When integrating the WssGWAS, RNA-seq results, and existing literature, the key candidate genes associated with physiological indicators of heat stress in Holstein cattle are: PMAIP1, SBK1, TMEM33, GATB, CHORDC1, RTN4IP1, and BTBD7. Conclusions Physiological indicators of heat stress are heritable and can be improved through direct selection. Fifty-three QTL regions associated with heat stress indicators confirm the polygenic nature and complex genetic determinism of heat tolerance in dairy cattle. The identified candidate genes will contribute for optimizing genomic evaluation models by assigning higher weights to genetic markers located in these regions as well as to the design of SNP panels containing polymorphisms located within these candidate genes. Graphical Abstract

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Section: Discussionsupporting

confidence: 55%

“…RT, TT, and DS were collected after blood samples collected to reduce artificial stimulation. The experimental design in current study is consisted with other previous research investigating heat stress by RNA-seq [ 28 , 29 ]. The RNA was isolated from blood according to the manufacturer’s instructions of the TRIzol Reagent method [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle

Luo

Brito

et al. 2022

J Animal Sci Biotechnol

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“…The reason for transportation stress was complex, including temperature, wind, rain, hunger, thirst, crowding, shock, turbulence, social interaction, feed change, physical exertion, environmental change, and invasion of pathogenic bacteria, and part of miRNA were confirmed in recent studies [18][19][20][21]. miRNA sequencing in chronic heat stress showed that miR-199b was highly expressed and had the same expression tendency in this study [22]. miR-2284 families were also verified in circulating-miRNA expression in lactating Holstein cows under summer heat stress [23].…”

Section: Discussionsupporting

confidence: 76%

Small RNA-Seq Analysis Reveals miRNA Expression of Short Distance Transportation Stress in Beef Cattle Blood

Tang

Raza

et al. 2021

Animals

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Transportation is a crucial phase in the beef cattle industry, and the annual losses caused by beef cattle transport stress are substantial. Because of its huge economic losses, such as lower growth rate and even death, long-distance transportation stress has attracted more attention from beef production practitioners because of its huge economic losses. Compared with the long-distance transportation stress, the short-distance transportation stress was ignored for the reason of no obvious symptoms in cattle. Our previous study showed that the disorder of B cell function could be a potential health risk after short-distance transportation. However, the transcriptome details of the changes in the cattle blood after short-distance transportation and the molecular mechanisms for the regulation of the developmental process are not clearly known. In this study, a total of 10 Qinchuan cattle were used to compare the molecular characteristics of blood before and after short-distance transportation. The miRNA-seq showed that 114 differentially expressed miRNAs (DEMs) were found (40 upregulated and 74 downregulated) between two groups before and after transportation. Furthermore, more than 90% of the miRNAs with counts of more than 10 were used to construct a co-expression network by weighted correlation network analysis (WGCNA), and four independent modules were identified. According to their relationship with 30 hub genes, the turquoise module was the key module in this study. The regulator network of hub genes and miRNAs in the turquoise module was constructed by miRNAs targeting genes predicting, and the miRNAs had targeting sites within hub genes that could be identified as hub-miRNAs. Further, it showed that CD40 and ITPKB had the same targeting miRNAs (miR-339a/b), and the newly discovered hub miRNAs filled the gaps in our previous study about the relationship between hub genes in short-distance transportation stress and provided the potential utility for predicting and treatment of short-distance transportation stress in beef cattle.

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“…Current research on GNG11 is not comprehensive and mainly focuses on human diseases such as intestinal disease [ 19 ], lung cancer [ 20 ], bladder cancer [ 21 ], and breast cancer [ 22 ], with research on GNG11 in cows being underrepresented. The regulatory effects of GNG11 in dairy cows mainly focus on heat stress [ 23 ]. However, the impact of milk protein synthesis is not clear.…”

Section: Discussionmentioning

confidence: 99%

Alfalfa xenomiR-162 targets G protein subunit gamma 11 to regulate milk protein synthesis in bovine mammary epithelial cells

Meng,

Duan,

Jia

et al. 2024

Anim Biosci

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Objective: It was shown that microRNAs (miRNAs) play an important role in milk proteinsynthesis. However, the post-transcriptional regulation of casein expression by exogenousmiRNA (xeno-miRNAs) in ruminants remains unclear. This study explores the regulatoryroles of alfalfa xeno-miR162 on casein synthesis in bovine mammary epithelial cells (bMECs).Methods: The effects of alfalfa xenomiR-162 and G protein subunit gamma 11 (GNG11) on proliferation and milk protein metabolism of bMECs were detected by 5-Ethynyl-2′-Deoxyuridine (EdU) staining, flow cytometry, cell counting kit-8 (CCK-8), enzyme-linked immunosorbent assay, quantitative real-time polymerase chain reaction (qRT-PCR), and Western blot. Dual-luciferase reporter assay was used to verify the targeting relationship between GNG11 and xenomiR-162.Results: Results showed that over-expression of xenomiR-162 inhibited cell proliferation but promoted apoptosis, which also up-regulated the expression of several casein coding genes, including CSN1S1, CSN1S2, and CSN3, while decreasing the expression of CSN2. Furthermore, the targeting relationship between GNG11 and xenomiR-162 was determined, and it was confirmed that GNG11 silencing also inhibited cell proliferation but promoted apoptosis and reduced the expression of casein coding genes and genes related to the mammalian target of rapamycin (mTOR) pathway.Conclusion: Alfalfa xenomiR-162 appears to regulate bMECs proliferation and milk protein synthesis via GNG11 in the mTOR pathway, suggesting that this xeno-miRNA could be harnessed to modulate CSN3 expression in dairy cows, and increase κ-casein contents in milk.

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Effects of chronic heat stress on mRNA and miRNA expressions in dairy cows

Cited by 16 publications

References 47 publications

Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle

Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle

Small RNA-Seq Analysis Reveals miRNA Expression of Short Distance Transportation Stress in Beef Cattle Blood

Alfalfa xenomiR-162 targets G protein subunit gamma 11 to regulate milk protein synthesis in bovine mammary epithelial cells

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