Evidence map›Paper›PMID 32646377›Full record

ArticleBMC genetics2020

Identification of candidate genes for milk production traits by RNA sequencing on bovine liver at different lactation stages.

Qian Li, Ruobing Liang, Yan Li, Yanxia Gao, Qiufeng Li, Dongxiao Sun, Jianguo Li

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  17. Sequence Variation in the Bovine Lipin-1 Gene (Animals : an open access journal from MDPI · 2021
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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

7 authors at 3 institutions in 3 countries.

Qian LiCollege of Animal Science and Technology, Hebei Agricultural University, Lekai South Street, Baoding, 071001, China.
Ruobing LiangDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, China Agricultural University, No.2 Yuanmingyuan West Road, Beijing, 100193, China.
Yan LiCollege of Veterinary Medicine, Hebei Agricultural University, Baoding, 071001, China.
Yanxia GaoCollege of Animal Science and Technology, Hebei Agricultural University, Lekai South Street, Baoding, 071001, China.
Qiufeng LiCollege of Animal Science and Technology, Hebei Agricultural University, Lekai South Street, Baoding, 071001, China.
Dongxiao SunDepartment of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, China Agricultural University, No.2 Yuanmingyuan West Road, Beijing, 100193, China. sundx@cau.edu.cn.ORCID 0000-0002-8679-6534
Jianguo LiCollege of Animal Science and Technology, Hebei Agricultural University, Lekai South Street, Baoding, 071001, China. jgli@hebau.edu.cn.
Hebei Agricultural University · CNChina Agricultural University · CNMinistry of Agriculture · ID

Funding

China Modern Agro-industry Technology Research System CARS-36Hebei Dairy Cattle Innovation Team of Modern Agro-industry Technology Research System HBCT2018120203National Natural Science Foundation of China 31872330Program for Changjiang Scholar and Innovation Research Team in University IRT_15R62Research Program of Hebei Province 16226604D
6 · The paper itself

Abstract

backgroundRNA-sequencing was performed to explore the bovine liver transcriptomes of Holstein cows to detect potential functional genes related to lactation and milk composition traits in dairy cattle. The bovine transcriptomes of the nine liver samples from three Holstein cows during dry period (50-d prepartum), early lactation (10-d postpartum), and peak of lactation (60-d postpartum) were sequenced using the Illumina HiSeq 2500 platform.

resultsA total of 204, 147 and 81 differentially expressed genes (DEGs, p < 0.05, false discovery rate q < 0.05) were detected in early lactation vs. dry period, peak of lactation vs. dry period, and peak of lactation vs. early lactation comparison groups, respectively. Gene ontology and KEGG pathway analysis showed that these DEGs were significantly enriched in specific biological processes related to metabolic and biosynthetic and signaling pathways of PPAR, AMPK and p53 (p < 0.05). Ten genes were identified as promising candidates affecting milk yield, milk protein and fat traits in dairy cattle by using an integrated analysis of differential gene expression, previously reported quantitative trait loci (QTL), data from genome-wide association studies (GWAS), and biological function information. These genes were APOC2, PPP1R3B, PKLR, ODC1, DUSP1, LMNA, GALE, ANGPTL4, LPIN1 and CDKN1A.

conclusionThis study explored the complexity of the liver transcriptome across three lactation periods in dairy cattle by performing RNA sequencing. Integrated analysis of DEGs and reported QTL and GWAS data allowed us to find ten key candidate genes influencing milk production traits.

Indexed as

TranscriptomeAnimalsCattleFemaleGenetic Association StudiesLactationLiverMilkMilk ProteinsQuantitative Trait LociSequence Analysis, RNAMilk ProteinsCandidate geneDairy cattleLiverMilk production traitsRNA-sequencing

Identifiers

PMID32646377
PMCPMC7346489
OpenAlexW3040970639

What OpenQuestion 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 OpenQuestion graph.