4.6 Article

From Genes to Milk: Genomic Organization and Epigenetic Regulation of the Mammary Transcriptome

Journal

PLOS ONE
Volume 8, Issue 9, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0075030

Keywords

-

Funding

  1. NIH [1R21HD05376, 1R03HD05609]
  2. USDA [6200-51000-048]
  3. California Dairy Research Foundation [09 GEB-01 NH]

Ask authors/readers for more resources

Even in genomes lacking operons, a gene's position in the genome influences its potential for expression. The mechanisms by which adjacent genes are co-expressed are still not completely understood. Using lactation and the mammary gland as a model system, we explore the hypothesis that chromatin state contributes to the co-regulation of gene neighborhoods. The mammary gland represents a unique evolutionary model, due to its recent appearance, in the context of vertebrate genomes. An understanding of how the mammary gland is regulated to produce milk is also of biomedical and agricultural importance for human lactation and dairying. Here, we integrate epigenomic and transcriptomic data to develop a comprehensive regulatory model. Neighborhoods of mammary-expressed genes were determined using expression data derived from pregnant and lactating mice and a neighborhood scoring tool, G-NEST. Regions of open and closed chromatin were identified by ChIP-Seq of histone modifications H3K36me3, H3K4me2, and H3K27me3 in the mouse mammary gland and liver tissue during lactation. We found that neighborhoods of genes in regions of uniquely active chromatin in the lactating mammary gland, compared with liver tissue, were extremely rare. Rather, genes in most neighborhoods were suppressed during lactation as reflected in their expression levels and their location in regions of silenced chromatin. Chromatin silencing was largely shared between the liver and mammary gland during lactation, and what distinguished the mammary gland was mainly a small tissue-specific repertoire of isolated, expressed genes. These findings suggest that an advantage of the neighborhood organization is in the collective repression of groups of genes via a shared mechanism of chromatin repression. Genes essential to the mammary gland's uniqueness are isolated from neighbors, and likely have less tolerance for variation in expression, properties they share with genes responsible for an organism's survival.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Microbiology

Fecal metatranscriptomics of macaques with idiopathic chronic diarrhea reveals altered mucin degradation and fucose utilization

Samuel T. Westreich, Amir Ardeshir, Zeynep Alkan, Mary E. Kable, Ian Korf, Danielle G. Lemay

MICROBIOME (2019)

Article Multidisciplinary Sciences

The fecal resistome of dairy cattle is associated with diet during nursing

Jinxin Liu, Diana H. Taft, Maria X. Maldonado-Gomez, Daisy Johnson, Michelle L. Treiber, Danielle G. LemayQ, Edward J. DePeters, David A. Mills

NATURE COMMUNICATIONS (2019)

Article Nutrition & Dietetics

Association of Lactase Persistence Genotypes (rs4988235) and Ethnicity with Dairy Intake in a Healthy US Population

Elizabeth L. Chin, Liping Huang, Yasmine Y. Bouzid, Catherine P. Kirschke, Blythe Durbin-Johnson, Lacey M. Baldiviez, Ellen L. Bonnel, Nancy L. Keim, Ian Korf, Charles B. Stephensen, Danielle G. Lemay

NUTRIENTS (2019)

Article Biochemical Research Methods

Pre- and post-sequencing recommendations for functional annotation of human fecal metagenomes

Michelle L. Treiber, Diana H. Taft, Ian Korf, David A. Mills, Danielle G. Lemay

BMC BIOINFORMATICS (2020)

Article Biochemistry & Molecular Biology

Fecal metatranscriptomics and glycomics suggest that bovine milk oligosaccharides are fully utilized by healthy adults

Samuel T. Westreich, Jaime Salcedo, Blythe Durbin-Johnson, Jennifer T. Smilowitz, Ian Korf, David A. Mills, Daniela Barile, Danielle G. Lemay

JOURNAL OF NUTRITIONAL BIOCHEMISTRY (2020)

Article Nutrition & Dietetics

Technician-Scored Stool Consistency Spans the Full Range of the Bristol Scale in a Healthy US Population and Differs by Diet and Chronic Stress Load

Danielle G. Lemay, Lacey M. Baldiviez, Elizabeth L. Chin, Sarah S. Spearman, Eduardo Cervantes, Leslie R. Woodhouse, Nancy L. Keim, Charles B. Stephensen, Kevin D. Laugero

Summary: The study found that stool consistency in healthy adults is influenced by dietary intake and stress levels, with higher intake of saturated fat associated with hard stools, and higher stress levels associated with soft stools. Physical activity did not show a significant impact on stool consistency.

JOURNAL OF NUTRITION (2021)

Article Nutrition & Dietetics

Machine Learning Identifies Stool pH as a Predictor of Bone Mineral Density in Healthy Multiethnic US Adults

Elizabeth L. Chin, Marta Van Loan, Sarah S. Spearman, Ellen L. Bonnel, Kevin D. Laugero, Charles B. Stephensen, Danielle G. Lemay

Summary: This study found that nonmodifiable factors, such as age, sex, and ethnicity, have a greater impact on bone health in healthy US men and women compared to directly modifiable factors like diet. Additionally, low stool pH was predictive of higher bone mineral content and density.

JOURNAL OF NUTRITION (2021)

Article Nutrition & Dietetics

Tree-Based Analysis of Dietary Diversity Captures Associations Between Fiber Intake and Gut Microbiota Composition in a Healthy US Adult Cohort

Mary E. Kable, Elizabeth L. Chin, David Storms, Danielle G. Lemay, Charles B. Stephensen

Summary: This study investigated the relationship between diet patterns and gut microbial community composition in a diverse, healthy US adult cohort. Results showed significant correlations between diet dry weight, carbohydrates, fiber, and gut microbial diversity. Bifidobacterium and Lachnospira were found to be enriched in diets with specific nutrient profiles. The use of a tree structure annotated with grams of carbohydrates provided a robust method for comparing self-reported diet to gut microbial community composition.

JOURNAL OF NUTRITION (2022)

Article Nutrition & Dietetics

The Development of the Davis Food Glycopedia-A Glycan Encyclopedia of Food

Juan J. Castillo, Garret Couture, Nikita P. Bacalzo, Ye Chen, Elizabeth L. Chin, Sarah E. Blecksmith, Yasmine Y. Bouzid, Yael Vainberg, Chad Masarweh, Qingwen Zhou, Jennifer T. Smilowitz, J. Bruce German, David A. Mills, Danielle G. Lemay, Carlito B. Lebrilla

Summary: The molecular complexity of carbohydrates consumed by humans has been oversimplified due to the lack of suitable analytical methods. This work presents a detailed catalogue of glycans in commonly consumed foods and establishes an open-access database. The Glycopedia can be used to formulate targeted diets that modulate the gut microbiome, opening possibilities for new preventative or therapeutic diets.

NUTRIENTS (2022)

Article Nutrition & Dietetics

Dietary Fiber to Starch Ratio Affects Bovine Milk Oligosaccharide Profiles

Sierra D. Durham, Danielle G. Lemay, Zhe Wei, Kenneth F. Kalscheur, John W. Finley, Naomi K. Fukagawa, Daniela Barile

Summary: Consuming a low starch high fiber diet promoted greater overall bovine milk oligosaccharide production than a low fiber high starch diet in a population of midlactation Holstein dairy cattle.

CURRENT DEVELOPMENTS IN NUTRITION (2022)

Article Microbiology

Associations among Milk Microbiota, Milk Fatty Acids, Milk Glycans, and Inflammation from Lactating Holstein Cows

Laurynne C. Coates, Sierra D. Durham, David H. Storms, Andrew D. Magnuson, Diane L. Van Hekken, Benjamin M. Plumier, John W. Finley, Naomi K. Fukagawa, Peggy M. Tomasula, Danielle G. Lemay, Matthew J. Picklo, Daniela Barile, Kenneth F. Kalscheur, Mary E. Kable

Summary: Milk oligosaccharides (MOs) and fatty acids (MFAs) have prebiotic, antiadhesive, and antimicrobial effects. Their relationships with milk microbes and inflammation have been studied in humans, but not in cows. Studying the relationships among milk microbiota, MFAs, MOs, lactose, and somatic cell counts in cows can provide valuable insights for improving milk quality and reducing waste.

MICROBIOLOGY SPECTRUM (2023)

Article Multidisciplinary Sciences

Creation of a milk oligosaccharide database, MilkOligoDB, reveals common structural motifs and extensive diversity across mammals

Sierra D. Durham, Zhe Wei, Danielle G. Lemay, Matthew C. Lange, Daniela Barile

Summary: The carbohydrate fraction in mammalian milks contains various oligosaccharides with different structures and compositions. Human milk oligosaccharides (HMOs) have been studied extensively due to their biological roles. However, understanding milk oligosaccharides in other mammals is challenging due to inconsistent data reporting methods. This study created a comprehensive database, MilkOligoDB, which consists of 3193 entries of milk oligosaccharides from 77 different species across 113 publications.

SCIENTIFIC REPORTS (2023)

Article Mathematical & Computational Biology

TaxaHFE: a machine learning approach to collapse microbiome datasets using taxonomic structure

Andrew Oliver, Matthew Kay, Danielle G. Lemay

Summary: Biologists are increasingly using machine learning models not only for prediction but also for explanation. The algorithm TaxaHFE is designed to collapse information-poor features into higher taxonomic levels, leading to a significant reduction in the number of features and improved model performance. Compared to other hierarchical feature engineering implementations, TaxaHFE introduces the unique ability to consider both categorical and continuous response variables, enhancing model interpretability.

BIOINFORMATICS ADVANCES (2023)

Article Nutrition & Dietetics

A Low-Starch and High-Fiber Diet Intervention Impacts the Microbial Community of Raw Bovine Milk

Laurynne C. Coates, David Storms, John W. Finley, Naomi K. Fukagawa, Danielle G. Lemay, Kenneth F. Kalscheur, Mary E. Kable

Summary: This study found that feeding lactating cows a more sustainable, low-starch and high-fiber diet is associated with changes in raw milk microbiota composition and somatic cell count. It has implications for udder health and milk spoilage.

CURRENT DEVELOPMENTS IN NUTRITION (2022)

Article Computer Science, Information Systems

Multimodal AI to Improve Agriculture

Cynthia S. Parr, Danielle G. Lemay, Christopher L. Owen, M. Jennifer Woodward-Greene, Jiayang Sun

Summary: Advances in natural language processing and computer vision are being applied to agricultural problems, but could be more powerful when combined with AI and numeric data sources. Challenges include obtaining high-quality training data and a lack of customized machine learning techniques.

IT PROFESSIONAL (2021)

No Data Available