Evidence map›Paper›PMID 19393040›Full record

ArticleGenome biology2009

The bovine lactation genome: insights into the evolution of mammalian milk.

Danielle G Lemay, David J Lynn, William F Martin, Margaret C Neville, Theresa M Casey, Gonzalo Rincon, Evgenia V Kriventseva, Wesley C Barris, Angie S Hinrichs, Adrian J Molenaar and 9 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 201 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  15. Comparative expression analysis of water buffalo (Frontiers in veterinary science · 2023
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24 more citing papers are in PubMed but not listed here.

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

19 authors at 12 institutions in 6 countries.

Danielle G LemayDepartment of Food Science and Technology, University of California Davis, One Shields Avenue, Davis, CA 95616, USA. dglemay@ucdavis.edu
David J Lynn
William F Martin
Margaret C Neville
Theresa M Casey
Gonzalo Rincon
Evgenia V Kriventseva
Wesley C Barris
Angie S Hinrichs
Adrian J Molenaar
Katherine S Pollard
Nauman J Maqbool
Kuljeet Singh
Regan Murney
Evgeny M Zdobnov
Ross L Tellam
Juan F Medrano
J Bruce German
Monique Rijnkels
AgResearch · NZUniversity of California, Davis · USCommonwealth Scientific and Industrial Research Organisation · AUUniversity of Geneva · CHChildren's Nutrition Research Center at Baylor College of Medicine · USMichigan State University · USNestlé (Switzerland) · CHSimon Fraser University · CAUniversity of California, San Francisco · USUniversity of California, Santa Cruz · USUniversity of California System · USUniversity of Colorado Denver · US

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
UCSC Center for Genomic Science, and Minority Outreach ProgramP41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H · 2001 to 2011
$34.8M
The functional role of microRNAs in the normal mammary glandP01HD038129 · NICHD · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, STEVEN M · 2000 to 2015
$15.2M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
NHGRI NIH HHS 2 P41 HG002371-06NHGRI NIH HHS P41 HG002371NICHD NIH HHS P01 HD038129NICHD NIH HHS P01-HD38129NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P01 ES11269NIEHS NIH HHS P42 ES004699NIEHS NIH HHS P42 ES04699
6 · The paper itself

Abstract

backgroundThe newly assembled Bos taurus genome sequence enables the linkage of bovine milk and lactation data with other mammalian genomes.

resultsUsing publicly available milk proteome data and mammary expressed sequence tags, 197 milk protein genes and over 6,000 mammary genes were identified in the bovine genome. Intersection of these genes with 238 milk production quantitative trait loci curated from the literature decreased the search space for milk trait effectors by more than an order of magnitude. Genome location analysis revealed a tendency for milk protein genes to be clustered with other mammary genes. Using the genomes of a monotreme (platypus), a marsupial (opossum), and five placental mammals (bovine, human, dog, mice, rat), gene loss and duplication, phylogeny, sequence conservation, and evolution were examined. Compared with other genes in the bovine genome, milk and mammary genes are: more likely to be present in all mammals; more likely to be duplicated in therians; more highly conserved across Mammalia; and evolving more slowly along the bovine lineage. The most divergent proteins in milk were associated with nutritional and immunological components of milk, whereas highly conserved proteins were associated with secretory processes.

conclusionsAlthough both copy number and sequence variation contribute to the diversity of milk protein composition across species, our results suggest that this diversity is primarily due to other mechanisms. Our findings support the essentiality of milk to the survival of mammalian neonates and the establishment of milk secretory mechanisms more than 160 million years ago.

Indexed as

AnimalsCattleChromosome MappingChromosomes, MammalianComputational BiologyDatabases, GeneticEvolution, MolecularFemaleGenomeHumansLactationMammalsMammary Glands, AnimalMilkMilk ProteinsPhylogenyMilk Proteins

Identifiers

PMID19393040
PMCPMC2688934
OpenAlexW2153493935

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.