Special Issue "Metabolomic Applications in Animal Science"

A special issue of Metabolites (ISSN 2218-1989).

Deadline for manuscript submissions: 15 March 2020.

Special Issue Editor

Dr. Shozo Tomonaga
E-Mail Website
Guest Editor
Kyoto University, Japan
Interests: amino acids; imidazole dipepitdes; GC-MS based metabolomics; metabolomics in animal science; nutritional science for stress response; early nutrition

Special Issue Information

Dear Colleagues,

Metabolomics has been a useful method for various study fields. However, its application in animal science seems not enough. Metabolomics will be useful for various studies in animal science: Animal genetics and breeding, animal physiology, animal nutrition, animal products (milk, meat, eggs, and their by-products) and their processing, livestock environment, animal biotechnology, animal behavior, and animal welfare. More application examples and protocols for animal science will promote more motivation to use metabolomics effectively in the study field.

Therefore, in this Special Issue, I invite research and review articles for “Metabolomic Applications in Animal Science”. The contribution to animal science should be clearly stated in the manuscript. The main methods used should be mass spectrometry, nuclear magnetic resonance spectroscopy, or other suitable techniques. Not only nontargeted but also targeted analysis of metabolites are welcome. The topics include dietary and pharmacological interventions, metabolic flux analysis, genetic manipulations, in vitro/in vivo imaging, and protocols for metabolomic experiments.

The Special Issue is open for submission now. Some extension may be granted if you kindly let me know in advance. Accepted papers will be published rapidly and will be listed together on the Special Issue website.

Dr. Shozo Tomonaga
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Animal science
  • Livestock
  • Metabolomics

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Characterization of Lipid Profiles after Dietary Intake of Polyunsaturated Fatty Acids Using Integrated Untargeted and Targeted Lipidomics
Metabolites 2019, 9(10), 241; https://doi.org/10.3390/metabo9100241 - 21 Oct 2019
Abstract
Illuminating the comprehensive lipid profiles after dietary supplementation of polyunsaturated fatty acids (PUFAs) is crucial to revealing the tissue distribution of PUFAs in living organisms, as well as to providing novel insights into lipid metabolism. Here, we performed lipidomic analyses on mouse plasma [...] Read more.
Illuminating the comprehensive lipid profiles after dietary supplementation of polyunsaturated fatty acids (PUFAs) is crucial to revealing the tissue distribution of PUFAs in living organisms, as well as to providing novel insights into lipid metabolism. Here, we performed lipidomic analyses on mouse plasma and nine tissues, including the liver, kidney, brain, white adipose, heart, lung, small intestine, skeletal muscle, and spleen, with the dietary intake conditions of arachidonic acid (ARA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) as the ethyl ester form. We incorporated targeted and untargeted approaches for profiling oxylipins and complex lipids such as glycerol (phospho) lipids, sphingolipids, and sterols, respectively, which led to the characterization of 1026 lipid molecules from the mouse tissues. The lipidomic analysis indicated that the intake of PUFAs strongly impacted the lipid profiles of metabolic organs such as the liver and kidney, while causing less impact on the brain. Moreover, we revealed a unique lipid modulation in most tissues, where phospholipids containing linoleic acid were significantly decreased in mice on the ARA-supplemented diet, and bis(monoacylglycero)phosphate (BMP) selectively incorporated DHA over ARA and EPA. We comprehensively studied the lipid profiles after dietary intake of PUFAs, which gives insight into lipid metabolism and nutrition research on PUFA supplementation. Full article
(This article belongs to the Special Issue Metabolomic Applications in Animal Science)
Show Figures

Figure 1

Open AccessArticle
Metabolomics Approach Reveals the Effects of Breed and Feed on the Composition of Chicken Eggs
Metabolites 2019, 9(10), 224; https://doi.org/10.3390/metabo9100224 - 13 Oct 2019
Abstract
Chicken eggs provide essential nutrients to consumers around the world. Although both genetic and environmental factors influence the quality of eggs, it is unclear how these factors affect the egg traits including egg metabolites. In this study, we investigated breed and feed effects [...] Read more.
Chicken eggs provide essential nutrients to consumers around the world. Although both genetic and environmental factors influence the quality of eggs, it is unclear how these factors affect the egg traits including egg metabolites. In this study, we investigated breed and feed effects on 10 egg traits, using two breeds (Rhode Island Red and Australorp) and two feed conditions (mixed feed and fermented feed). We also used gas chromatography–mass spectrometry (GC–MS/MS) to analyze 138 yolk and 132 albumen metabolites. Significant breed effects were found on yolk weight, eggshell weight, eggshell colors, and one albumen metabolite (ribitol). Three yolk metabolites (erythritol, threitol, and urea) and 12 albumen metabolites (erythritol, threitol, ribitol, linoleic acid, isoleucine, dihydrouracil, 4-hydroxyphenyllactic acid, alanine, glycine, N-butyrylglycine, pyruvic acid, and valine) were significantly altered by feed, and a significant interaction between breed and feed was discovered in one albumen metabolite (N-butyrylglycine). Yolk and albumin had higher levels of sugar alcohols when hens were fed a fermented diet, which indicates that sugar alcohol content can be transferred from diet into eggs. Linoleic acid was also enriched in albumen under fermented feed conditions. This study shows that yolk and albumen metabolites will be affected by breed and feed, which is the first step towards manipulating genetic and environmental factors to create “designer eggs.” Full article
(This article belongs to the Special Issue Metabolomic Applications in Animal Science)
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Metabolomic comparison among sex, exercise and cooking of porcine muscles
Authors: Shoko Sawano, Keishi Oza, Mako Nakamura, Ryuichi Tatsumi and Wataru Mizunoya
Affiliation: Azabu University, Kyushu University

Back to TopTop