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Animals : an open access journal from MDPI2020; 10(1); 119; doi: 10.3390/ani10010119

Identification of Novel lncRNAs Differentially Expressed in Placentas of Chinese Ningqiang Pony and Yili Horse Breeds.

Abstract: As a nutrient sensor, the placenta plays a key role in regulating fetus growth and development. Long non-coding RNAs (lncRNAs) have been shown to regulate growth-related traits. However, the biological function of lncRNAs in horse placentas remains unclear. To compare the expression patterns of lncRNAs in the placentas of the Chinese Ningqiang (NQ) and Yili (YL) breeds, we performed a transcriptome analysis using RNA sequencing (RNA-seq) technology. NQ is a pony breed with an average adult height at the withers of less than 106 cm, whereas that of YL is around 148 cm. Based on 813 million high-quality reads and stringent quality control procedures, 3011 transcripts coding for 1464 placental lncRNAs were identified and mapped to the horse reference genome. We found 107 differentially expressed lncRNAs (DELs) between NQ and YL, including 68 up-regulated and 39 down-regulated DELs in YL. Six (, , , , , , and ) out of the 233 genes targeted by DELs were identified as being involved in limb development, skeletal myoblast differentiation, and embryo development. Two DELs were predicted to target the gene, which was found to be under strong selection and associated with small body size in the Chinese Debao pony breed. This finding suggests the potential functional significance of placental lncRNAs in regulating horse body size.
Publication Date: 2020-01-11 PubMed ID: 31940795PubMed Central: PMC7022612DOI: 10.3390/ani10010119Google Scholar: Lookup
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  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study explores the role of long non-coding RNAs (lncRNAs) in regulating growth-related characteristics in horse placentas. Two different breeds of horses, Ningqiang and Yili, provide the scope for examining how these RNA sequences diverge and potentially influence size differences between the breeds.

Method of Investigation and Results

  • The researchers used a technology called RNA sequencing (RNA-seq) to analyze the transcriptome, which is the full range of RNA molecules, including lncRNAs, expressed by the genomes in the placentas of both horse breeds. The Ningqiang (NQ) breed, a type of pony, has an average adult height less than 106 cm, whereas the Yili (YL) horse breed averages around 148 cm in height.
  • Over 813 million high-quality reads were analyzed and 3,011 transcripts coding for 1,464 placental lncRNAs were subsequently identified. These lncRNAs were mapped onto the horse reference genome for further analysis.
  • The research found a total of 107 differentially expressed lncRNAs (DELs) between the NQ and YL breeds. Of these, 68 were more abundant (up-regulated) and 39 were less abundant (down-regulated) in the Yili breed compared to the Ningqiang breed.

Observations and Implications

  • Among the genes targeted by these DELs, six were found to be involved in limb development, skeletal myoblast differentiation, and overall embryo development. This suggests that these lncRNAs could play a role in determining traits such as body and limb size.
  • Two DELs were predicted to target the MSTN gene, which has been previously associated with the small body size of the Chinese Debao pony breed. This suggests that lncRNAs may play a similar role in impacting the body size of the Ningqiang and Yili breeds.
  • The study concludes that these findings highlight the potential functional importance of placental lncRNAs in determining body size in horses, though more specific research is likely needed to fully confirm and understand these processes.

Cite This Article

APA
Pu Y, Zhang Y, Zhang T, Han J, Ma Y, Liu X. (2020). Identification of Novel lncRNAs Differentially Expressed in Placentas of Chinese Ningqiang Pony and Yili Horse Breeds. Animals (Basel), 10(1), 119. https://doi.org/10.3390/ani10010119

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 10
Issue: 1
PII: 119

Researcher Affiliations

Pu, Yabin
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
  • CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Zhang, Yanli
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
  • CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Zhang, Tian
  • State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Han, Jianlin
  • CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
  • International Livestock Research Institute (ILRI), Nairobi 00100, Kenya.
Ma, Yuehui
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
  • CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Liu, Xuexue
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
  • CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.

Grant Funding

  • 31972530 / National Natural Science Foundation of China
  • 31772553 / National Natural Science Foundation of China
  • Y2017JC03, Y2018PT68 / Chinese Academy of Agricultural Sciences
  • ASTIP-IAS01 / Agricultural Science and Technology Innovation Program of China
  • 20190102 / International Postdoctoral Exchange Fellowship Program

Conflict of Interest Statement

The authors declare no conflict of interest.

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