Unravelling the Role of Rumen Microbial Communities, Genes, and Activities on Milk Fatty Acid Profile Using a Combination of Omics Approaches Article Swipe
Sokratis Stergiadis
,
I. Cabeza-Luna
,
Marina Mora-Ortiz
,
Robert D. Stewart
,
R.J. Dewhurst
,
D.J. Humphries
,
Mick Watson
,
R. Roehe
,
Marc Auffret
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2020.590441
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2020.590441
Milk products are an important component of human diets, with beneficial effects for human health, but also one of the major sources of nutritionally undesirable saturated fatty acids (SFA). Recent discoveries showing the importance of the rumen microbiome on dairy cattle health, metabolism and performance highlight that milk composition, and potentially milk SFA content, may also be associated with microorganisms, their genes and their activities. Understanding these mechanisms can be used for the development of cost-effective strategies for the production of milk with less SFA. This work aimed to compare the rumen microbiome between cows producing milk with contrasting FA profile and identify potentially responsible metabolic-related microbial mechanisms. Forty eight Holstein dairy cows were fed the same total mixed ration under the same housing conditions. Milk and rumen fluid samples were collected from all cows for the analysis of fatty acid profiles (by gas chromatography), the abundances of rumen microbiome communities and genes (by whole-genome-shotgun metagenomics), and rumen metabolome (using 500 MHz nuclear magnetic resonance). The following groups: (i) 24 High-SFA (66.9–74.4% total FA) vs. 24 Low-SFA (60.2–66.6%% total FA) cows, and (ii) 8 extreme High-SFA (69.9–74.4% total FA) vs. 8 extreme Low-SFA (60.2–64.0% total FA) were compared. Rumen of cows producing milk with more SFA were characterized by higher abundances of the lactic acid bacteria Lactobacillus, Leuconostoc , and Weissella , the acetogenic Proteobacteria Acetobacter and Kozakia, Mycobacterium , two fungi ( Cutaneotrichosporon and Cyphellophora ), and at a lesser extent Methanobrevibacter and the protist Nannochloropsis . Cows carrying genes correlated with milk FA also had higher concentrations of butyrate, propionate and tyrosine and lower concentrations of xanthine and hypoxanthine in the rumen. Abundances of rumen microbial genes were able to explain between 76 and 94% on the variation of the most abundant milk FA. Metagenomics and metabolomics analyses highlighted that cows producing milk with contrasting FA profile under the same diet, also differ in their rumen metabolic activities in relation to adaptation to reduced rumen pH, carbohydrate fermentation, and protein synthesis and metabolism.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmicb.2020.590441
- OA Status
- gold
- Cited By
- 25
- References
- 76
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3121373474
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3121373474Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmicb.2020.590441Digital Object Identifier
- Title
-
Unravelling the Role of Rumen Microbial Communities, Genes, and Activities on Milk Fatty Acid Profile Using a Combination of Omics ApproachesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-21Full publication date if available
- Authors
-
Sokratis Stergiadis, I. Cabeza-Luna, Marina Mora-Ortiz, Robert D. Stewart, R.J. Dewhurst, D.J. Humphries, Mick Watson, R. Roehe, Marc AuffretList of authors in order
- Landing page
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https://doi.org/10.3389/fmicb.2020.590441Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fmicb.2020.590441Direct OA link when available
- Concepts
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Rumen, Metabolome, Food science, Microbiome, Biology, Metagenomics, Fatty acid, Metabolomics, Biochemistry, Gene, Fermentation, BioinformaticsTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 4, 2024: 7, 2023: 3, 2022: 10, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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76Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.major | 20 |
| abstract_inverted_index.mixed | 118 |
| abstract_inverted_index.rumen | 36, 91, 127, 148, 157, 276, 317, 326 |
| abstract_inverted_index.their | 60, 63, 316 |
| abstract_inverted_index.these | 66 |
| abstract_inverted_index.total | 117, 172, 178, 187, 194 |
| abstract_inverted_index.under | 120, 309 |
| abstract_inverted_index.(SFA). | 28 |
| abstract_inverted_index.(using | 159 |
| abstract_inverted_index.Recent | 29 |
| abstract_inverted_index.cattle | 40 |
| abstract_inverted_index.diets, | 8 |
| abstract_inverted_index.differ | 314 |
| abstract_inverted_index.extent | 241 |
| abstract_inverted_index.higher | 209, 257 |
| abstract_inverted_index.lactic | 213 |
| abstract_inverted_index.lesser | 240 |
| abstract_inverted_index.ration | 119 |
| abstract_inverted_index.rumen. | 273 |
| abstract_inverted_index.Low-SFA | 176, 192 |
| abstract_inverted_index.between | 93, 283 |
| abstract_inverted_index.compare | 89 |
| abstract_inverted_index.effects | 11 |
| abstract_inverted_index.explain | 282 |
| abstract_inverted_index.extreme | 184, 191 |
| abstract_inverted_index.groups: | 167 |
| abstract_inverted_index.health, | 14, 41 |
| abstract_inverted_index.housing | 123 |
| abstract_inverted_index.nuclear | 162 |
| abstract_inverted_index.profile | 100, 308 |
| abstract_inverted_index.protein | 331 |
| abstract_inverted_index.protist | 245 |
| abstract_inverted_index.reduced | 325 |
| abstract_inverted_index.samples | 129 |
| abstract_inverted_index.showing | 31 |
| abstract_inverted_index.sources | 21 |
| abstract_inverted_index.High-SFA | 170, 185 |
| abstract_inverted_index.Holstein | 110 |
| abstract_inverted_index.Kozakia, | 227 |
| abstract_inverted_index.abundant | 293 |
| abstract_inverted_index.analyses | 299 |
| abstract_inverted_index.analysis | 137 |
| abstract_inverted_index.bacteria | 215 |
| abstract_inverted_index.carrying | 249 |
| abstract_inverted_index.content, | 53 |
| abstract_inverted_index.identify | 102 |
| abstract_inverted_index.magnetic | 163 |
| abstract_inverted_index.products | 1 |
| abstract_inverted_index.profiles | 141 |
| abstract_inverted_index.relation | 321 |
| abstract_inverted_index.tyrosine | 263 |
| abstract_inverted_index.xanthine | 268 |
| abstract_inverted_index.Weissella | 220 |
| abstract_inverted_index.butyrate, | 260 |
| abstract_inverted_index.collected | 131 |
| abstract_inverted_index.compared. | 197 |
| abstract_inverted_index.component | 5 |
| abstract_inverted_index.following | 166 |
| abstract_inverted_index.highlight | 45 |
| abstract_inverted_index.important | 4 |
| abstract_inverted_index.metabolic | 318 |
| abstract_inverted_index.microbial | 106, 277 |
| abstract_inverted_index.producing | 95, 201, 303 |
| abstract_inverted_index.saturated | 25 |
| abstract_inverted_index.synthesis | 332 |
| abstract_inverted_index.variation | 289 |
| abstract_inverted_index.Abundances | 274 |
| abstract_inverted_index.abundances | 146, 210 |
| abstract_inverted_index.acetogenic | 223 |
| abstract_inverted_index.activities | 319 |
| abstract_inverted_index.adaptation | 323 |
| abstract_inverted_index.associated | 57 |
| abstract_inverted_index.beneficial | 10 |
| abstract_inverted_index.correlated | 251 |
| abstract_inverted_index.importance | 33 |
| abstract_inverted_index.mechanisms | 67 |
| abstract_inverted_index.metabolism | 42 |
| abstract_inverted_index.metabolome | 158 |
| abstract_inverted_index.microbiome | 37, 92, 149 |
| abstract_inverted_index.production | 79 |
| abstract_inverted_index.propionate | 261 |
| abstract_inverted_index.strategies | 76 |
| abstract_inverted_index.Acetobacter | 225 |
| abstract_inverted_index.Leuconostoc | 217 |
| abstract_inverted_index.activities. | 64 |
| abstract_inverted_index.communities | 150 |
| abstract_inverted_index.conditions. | 124 |
| abstract_inverted_index.contrasting | 98, 306 |
| abstract_inverted_index.development | 73 |
| abstract_inverted_index.discoveries | 30 |
| abstract_inverted_index.highlighted | 300 |
| abstract_inverted_index.mechanisms. | 107 |
| abstract_inverted_index.metabolism. | 334 |
| abstract_inverted_index.performance | 44 |
| abstract_inverted_index.potentially | 50, 103 |
| abstract_inverted_index.resonance). | 164 |
| abstract_inverted_index.responsible | 104 |
| abstract_inverted_index.undesirable | 24 |
| abstract_inverted_index.Metagenomics | 296 |
| abstract_inverted_index.carbohydrate | 328 |
| abstract_inverted_index.composition, | 48 |
| abstract_inverted_index.hypoxanthine | 270 |
| abstract_inverted_index.metabolomics | 298 |
| abstract_inverted_index.(60.2–64.0% | 193 |
| abstract_inverted_index.(66.9–74.4% | 171 |
| abstract_inverted_index.(69.9–74.4% | 186 |
| abstract_inverted_index.Cyphellophora | 235 |
| abstract_inverted_index.Mycobacterium | 228 |
| abstract_inverted_index.Understanding | 65 |
| abstract_inverted_index.characterized | 207 |
| abstract_inverted_index.fermentation, | 329 |
| abstract_inverted_index.nutritionally | 23 |
| abstract_inverted_index.(60.2–66.6%% | 177 |
| abstract_inverted_index.Lactobacillus, | 216 |
| abstract_inverted_index.Proteobacteria | 224 |
| abstract_inverted_index.concentrations | 258, 266 |
| abstract_inverted_index.cost-effective | 75 |
| abstract_inverted_index.metagenomics), | 155 |
| abstract_inverted_index.Nannochloropsis | 246 |
| abstract_inverted_index.microorganisms, | 59 |
| abstract_inverted_index.chromatography), | 144 |
| abstract_inverted_index.metabolic-related | 105 |
| abstract_inverted_index.Methanobrevibacter | 242 |
| abstract_inverted_index.Cutaneotrichosporon | 233 |
| abstract_inverted_index.whole-genome-shotgun | 154 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5057015430, https://openalex.org/A5023876826 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I133960621, https://openalex.org/I260719752, https://openalex.org/I71052956 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.95475488 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |