Transcriptomics data for muscle development in Goats

Goats play a significant role in global livestock production and are highly valued for their meat, which is both nutritious and easily digestible. The longissimus dorsi and biceps femoris muscles are not only critical for goat locomotion and weight support but also serve as primary determinants of meat quality and nutritional value. To elucidate the gene expression patterns and genetic regulatory mechanisms underlying goat muscle development, this study collected longissimus dorsi and biceps femoris muscles from pregnant goats in late gestation and their fetuses. Full-length transcriptome sequencing was performed with the Oxford Nanopore Technologies (ONT) platform, generating 169,768,069 valid reads, 127,954,092 of which were successfully aligned to the reference genome, with an average N50 value of 1042.29. Data processing and assembly identified 58,092 full-length transcripts, with 50,338 annotated based on databases such as NR, Uniprot, GO, KEGG, and Pfam. Notably, this study identified 89,468 alternative splicing (AS) events across seven categories and predicted 5,538 potential long non-coding RNAs (lncRNAs) in two muscle tissues using three prediction methods. These findings substantially enhance the goat full-length transcriptome database and provide crucial data for uncovering functional genes, epigenetic regulation, and early nutritional intervention strategies relevant to goat meat quality. The open sharing of this dataset aims to advance the academic understanding of goat muscle development and its genetic basis, thereby promoting precision breeding strategies and the sustainable development of meat goat production.

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Publication Details

Journal
Scientific Data
Published
2025-06-02
DOI
https://doi.org/10.1038/s41597-025-04950-9
Citations
1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.81

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article

Transcriptomics data for muscle development in Goats

Mei Liu, Ruijie Xi, Wen‐An Jiang, Peng Huang et al.
1 citations
Scientific Data
RNA modifications and cancer
0.81
article

Transcriptomics data for muscle development in Goats

Mei Liu, Ruijie Xi, Wen‐An Jiang, Peng Huang, Yu Pei
article en
1 citations

Abstract

Goats play a significant role in global livestock production and are highly valued for their meat, which is both nutritious and easily digestible. The longissimus dorsi and biceps femoris muscles are not only critical for goat locomotion and weight support but also serve as primary determinants of meat quality and nutritional value. To elucidate the gene expression patterns and genetic regulatory mechanisms underlying goat muscle development, this study collected longissimus dorsi and biceps femoris muscles from pregnant goats in late gestation and their fetuses. Full-length transcriptome sequencing was performed with the Oxford Nanopore Technologies (ONT) platform, generating 169,768,069 valid reads, 127,954,092 of which were successfully aligned to the reference genome, with an average N50 value of 1042.29. Data processing and assembly identified 58,092 full-length transcripts, with 50,338 annotated based on databases such as NR, Uniprot, GO, KEGG, and Pfam. Notably, this study identified 89,468 alternative splicing (AS) events across seven categories and predicted 5,538 potential long non-coding RNAs (lncRNAs) in two muscle tissues using three prediction methods. These findings substantially enhance the goat full-length transcriptome database and provide crucial data for uncovering functional genes, epigenetic regulation, and early nutritional intervention strategies relevant to goat meat quality. The open sharing of this dataset aims to advance the academic understanding of goat muscle development and its genetic basis, thereby promoting precision breeding strategies and the sustainable development of meat goat production.

Scientific DataVol. 12(1)
Changsha University (CN), Hunan Agricultural University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 27%
RNA modifications and cancer
0.81
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