Sirtuin3 (SIRT3) gene molecular characterization and SNP detection in prolific and low prolific goat breeds

Silpa, M. V.; Thomas, Naicy; Aravindakshan, T. V.; Radhika, G.; Boswell, Anu; Mini, M.

doi:10.1016/j.theriogenology.2018.09.008

Cited by 17 publications

(6 citation statements)

References 27 publications

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“…In goat, previous studies have identified the key genes involved in the regulation of ovulation rate and kidding rate by transcriptome analysis of goat ovaries, as well as the signaling pathways that affect ovulation and fertility [1,4,[23][24][25][26][27][28][29]. Studies on litter size of goats have shown that PDGFRB, MARCH1, KDM6A, CSN1S1, SIRT3, KITLG, GHR, ATBF1, INHA, GNRH1, and GDF9 might be candidate genes for goat reproductive traits [26,[30][31][32][33][34][35][36][37][38][39]. Growth hormones and members of the insulin-like growth factor (IGF) system (IGF-I and IGF-II) may play a key role in follicular development and atresia [2,40], and the genes FER1 L4 and SRD5A2 may be associated with the high fecundity of goats [41].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

Zou

Zhao

et al. 2020

BMC Genomics

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Background: Fertility is an important economic trait in the production of meat goat, and follicular development plays an important role in fertility. Although many mRNAs and microRNAs (miRNAs) have been found to play critical roles in ovarian biological processes, the interaction between mRNAs and miRNAs in follicular development is not yet completely understood. In addition, less attention has been given to the study of single follicle (dominant or atretic follicle) in goats. This study aimed to identify mRNAs, miRNAs, and signaling pathways as well as their interaction networks in the ovarian follicles (large follicles and small follicles) of uniparous and multiple Chuanzhong black goats at estrus phase using RNAsequencing (RNA-seq) technique. Results: The results showed that there was a significant difference in the number of large follicles between uniparous and multiple goats (P < 0.05), but no difference in the number of small follicles was observed (P > 0.05). For the small follicles of uniparous and multiple goats at estrus phase, 289 differentially expressed mRNAs (DEmRNAs) and 16 DEmiRNAs were identified; and for the large follicles, 195 DEmRNAs and 7 DEmiRNAs were identified. The functional enrichment analysis showed that DE genes in small follicles were significantly enriched in ovarian steroidogenesis and steroid hormone biosynthesis, while in large follicles were significantly enriched in ABC transporters and steroid hormone biosynthesis. The results of quantitative real-time polymerase chain reaction were consistent with those of RNA-seq. Analysis of the mRNA-miRNA interaction network suggested that CD36 (miR-122, miR-200a, miR-141), TNFAIP6 (miR-141, miR-200a, miR-182), CYP11A1 (miR-122), SERPINA5 (miR-1, miR-206, miR-133a-3p, miR-133b), and PTGFR (miR-182, miR-122) might be related to fertility, but requires further research on follicular somatic cells. Conclusions: This study was used for the first time to reveal the DEmRNAs and DEmiRNAs as well as their interaction in the follicles of uniparous and multiple goats at estrus phase using RNA-seq technology. Our findings provide new clues to uncover the molecular mechanisms and signaling networks of goat reproduction that could be potentially used to increase ovulation rate and kidding rate in goat.

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Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

Zou

Zhao

et al. 2020

BMC Genomics

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“…The principle of the technology is to use the molecular markers or functional markers closely linked to the target gene to accurately identify the genotypes of different individuals in the hybrid progeny, and to carry out the breeding technique based on the assisted selection (Bai et al, 2018). At present, MAS based on relevant genetic variants is used extensively to improve traits with low heritability, such as those associated with growth and reproduction (Silpa et al, 2018;Zhang et al, 2018). Singlenucleotide polymorphism (SNP), insertion/deletion (indel) and structural variation (SV) are the major genetic variations (Mullaney et al, 2010) and the main kinds of MAS.…”

Section: Introductionmentioning

confidence: 99%

A 20-bp insertion/deletion (indel) polymorphism within the <i>CDC25A</i> gene and its associations with growth traits in goat

et al. 2019

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Abstract. Cell division cycle 25A (CDC25A), a member of the CDC25 family of phosphatases, is required for progression from G1 to the S phase of the cell cycle. CDC25A provides an essential function during early embryonic development in mice, suggesting that it plays an important role in growth and development. In this study, we used mathematical expectation (ME) methods to identify a 20-bp insertion/deletion (indel) polymorphism of CDC25A gene in Shaanbei White Cashmere (SBWC) goats. We also investigated the association between this 20-bp indel and growth-related traits in SBWC goats. Association results showed that the indel was related to growth traits (height at hip cross, cannon circumference, and cannon circumference index) in SBWC goats. The height at hip cross of individuals with insertion/insertion (II) genotype was higher than those with insertion/deletion (ID) genotype (P=0.02); on the contrary, the cannon circumference and cannon circumference index of individuals with ID genotype were superior when compared with those with II genotype (P=0.017 and P=0.009). These findings suggest that the 20-bp indel in the CDC25A gene significantly affects growth-related traits, and could be utilized as a candidate marker for marker-assisted selection (MAS) in the cashmere goat industry.

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“…They may change the efficiency, stability and accuracy of mRNA alternative splicing (Kimchisarfaty et al, 2007;Duan et al, 2003) as well as protein translation and fold (Sauna and Kimchisarfaty, 2011) to affect litter size in doe. Another two (KISS-1 and GDF9) directly change amino acids (KISS-1: p.Ala11Thr; GDF9: p.Ala273Val) and could change protein function, which maybe affects the secretion of reproductive hormone (e.g., GH, PRL, TSHβ, PGR) or/and early folliculogenesis (Hanrahan et al, 2004;Silva et al, 2011) to affect litter size in doe. There are Litter size is presented as the least squares mean ± standard error (SE) of phenotypic values.…”

Section: 080mentioning

confidence: 99%

Population validation of reproductive gene mutation loci and association with the litter size in Nubian goat

et al. 2021

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Abstract. Litter size is an important component trait of doe reproduction. By improving it, production efficiency and economic benefits can be significantly provided. Genetic marker-assisted selection (MAS) based on proven molecular indicators could enhance the efficacy of goat selection, as well as litter size trait. Many molecular markers have been identified that they can be used to improve litter size in different goat breeds. However, the presence and value of these markers vary among goat breeds. In the present study, we used the reported loci on other breeds of goat as candidate loci to detect whether these loci appear in this Nubian goat population; then we proceed to genotype and detect surrounding loci (50 bp) by multiplex PCR and sequencing technology. As a result, 69 mutations (59 SNPs and 10 indels) were screened out from 23 candidate genes in Nubian goat population, 12 loci were significantly associated with the litter size of first-parity individuals; 5 loci were significantly associated with the litter size of second-parity individuals; 3 loci were significantly associated with the litter size of third-parity individuals. In addition, five loci were significantly associated with the average litter size. The additive effect value of KITLG: g.18047318 G>A in first parity, KITLG: g.18152042G>A in third parity, KISS-1: g.1341674 C>G in first parity, and GHR: g.32134187G>A in second parity exceed more than 0.40, and the preponderant alleles are G, C, A and G, respectively. Further, linkage disequilibrium analysis of 21 mutation loci shows that 3 haplotype blocks are formed, and the litter size of combination type AACC in KISS-1 gene and AAGG in KITLG gene are significantly lower than that of other combinations genotype in first parity (P<0.05). These findings can provide effective candidate DNA markers for selecting superior individuals in Nubian goat breeding.

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Sirtuin3 (SIRT3) gene molecular characterization and SNP detection in prolific and low prolific goat breeds

Cited by 17 publications

References 27 publications

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

A 20-bp insertion/deletion (indel) polymorphism within the <i>CDC25A</i> gene and its associations with growth traits in goat

Population validation of reproductive gene mutation loci and association with the litter size in Nubian goat

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Sirtuin3 (SIRT3) gene molecular characterization and SNP detection in prolific and low prolific goat breeds

Cited by 17 publications

References 27 publications

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase

A 20-bp insertion/deletion (indel) polymorphism within the &lt;i&gt;CDC25A&lt;/i&gt; gene and its associations with growth traits in goat

Population validation of reproductive gene mutation loci and association with the litter size in Nubian goat

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A 20-bp insertion/deletion (indel) polymorphism within the <i>CDC25A</i> gene and its associations with growth traits in goat