Evidence map›Paper›PMID 38734729›Full record

ArticleScientific data2024

De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore.

Yifan Wang, Yiming Huang, Yongkang Zhen, Jiasheng Wang, Limin Wang, Ning Chen, Feifan Wu, Linna Zhang, Yizhao Shen, Congliang Bi and 27 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Genome-Wide Characterization of the TGF-β Gene Family in Donkey (Animals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

37 authors.

Yifan WangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
Yiming Huang *State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
Yongkang Zhen *College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Jiasheng Wang *College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Limin WangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
Ning ChenState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
Feifan WuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Linna ZhangHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Yizhao ShenCollege of Animal Science and Technology, Hebei Agricultural University, Baoding, 071033, P. R. China.
Congliang BiCollege of Life Science, Linyi University, Linyi, 276005, P. R. China.
Song LiCollege of Life Science, Guizhou University, Guiyang, 550025, P. R. China.
Kelsey PoolUWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
Dominique BlacheUWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.ORCID 0000-0003-3476-3068
Shane K MaloneyUWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.ORCID 0000-0002-5878-2266
Dongxu LiuHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Zhiquan YangHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.ORCID 0000-0001-6283-0753
Chuang LiCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Xiang YuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Zhenbin ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.ORCID 0000-0002-2224-7456
Yifei ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Chun XueCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Yalan GuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Weidong HuangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Lu YanCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Wenjun WeiCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Yusu WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Jinying ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Yifan ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Yiquan SunCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
Shengbo WangHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Xinle ZhaoHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Chengfang LuoHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Haodong WangHubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
Luoyang DingCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China. luoyang.ding@uwa.edu.au.ORCID 0000-0001-5180-6723
Qing-Yong YangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China. yqy@mail.hzau.edu.cn.
Ping ZhouState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China. zhpxqf@163.com.
Mengzhi WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China. mzwang@yzu.edu.cn.ORCID 0000-0002-6256-8166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.

Indexed as

HerbivoryTranscriptomeAnimalsCattleDatabases, GeneticDeerEquidaeFemaleGoatsHorsesRabbitsSheep

Identifiers

PMID38734729
PMCPMC11088706

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.