Evidence map›Paper›PMID 39733052›Full record

ArticleScientific reports2024

Integrated analysis of rumen metabolomics and metataxonomics to understand changes in metabolic and microbial community in Korean native goats under heat stress.

Jun Sik Eom, Youyoung Choi, Shin Ja Lee, Hyun Sang Kim, Seong Uk Jo, Dongryeoul Bae, Dong-Hyun Lim, Eun Tae Kim, Sang Bum Kim, Sung Sill Lee

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

10 authors.

Jun Sik Eom *Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.ORCID 0000-0001-5360-0147
Youyoung Choi *Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.ORCID 0000-0002-3417-8099
Shin Ja LeeInstitute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.ORCID 0000-0002-4224-1211
Hyun Sang KimInstitute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.ORCID 0000-0002-3422-1990
Seong Uk JoDivision of Applied Life Science (BK21), Gyeongsang National University, Jinju, 52828, Republic of Korea.ORCID 0000-0001-7901-0428
Dongryeoul BaeDivision of Research and Development, TracoWorld Ltd., Gwangmyeong-si, 14348, Republic of Korea.ORCID 0000-0002-4754-5580
Dong-Hyun LimDairy Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan, 31000, Republic of Korea.ORCID 0000-0002-8575-0198
Eun Tae KimDairy Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan, 31000, Republic of Korea.ORCID 0000-0001-7486-5638
Sang Bum KimDairy Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan, 31000, Republic of Korea.ORCID 0000-0002-8187-4134
Sung Sill LeeInstitute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea. lss@gnu.ac.kr.ORCID 0000-0002-4621-4333

Funding

National Research Foundation of Korea NRF- 2021R1A6A3A010874521261382116530102
6 · The paper itself

Abstract

Heat stress (HS) is an impactful condition in ruminants that negatively affects their physiological and rumen microbial composition. However, a fundamental understanding of metabolomic and metataxonomic mechanisms in goats under HS conditions is lacking. Here, we analyzed the rumen metabolomics, metataxonomics, and serum metabolomics of goats (n = 10, body weight: 41.08 ± 1.83 kg) under optimum temperature period (OTP) (HS-free, temperature humidity index (THI): 57.13 ± 3.98) and high temperature period (HTP) (HS-exposed, THI: 80.27 ± 1.22) conditions, to identify changes in key metabolites and the rumen microbiome induced by HS. Compared to the OTP and HTP conditions, metabolomic analysis revealed significant changes in rumen metabolites related to energy and amino acid metabolism, with HTP goats showing potential rumen metabolic biomarkers, such as butyrate, isopropanol, phenylacetate, and 2-oxoisocaproate (P < 0.001). Serum analysis revealed significant changes in energy metabolism and immune response, with HTP goats showing potential metabolic biomarkers, including acetate, betaine, glucuronate, and kynurenine (P < 0.05). Metataxonomic analysis revealed that HS affected the alpha diversity measurements, including the Chao1 estimate (P < 0.05) and evenness (P < 0.05) between OTP and HTP groups. Through the metabolic association of the rumen microbiome with the metabolome, we found that Fibrobacter and Ruminococcus were enriched in HTP and positively correlated with ruminal microbial metabolites, such as acetate. In addition, Prevotellaceae UCG-003, which was denoted as the keynote genus in the HTP, co-occurred with acetate-producing bacteria such as Quinella and Ruminococcus. Furthermore, we identified that Oscillospiraceae UCG-002, an enriched bacterial genus in HTP, showed a positive correlation with functional features, such as biotin and sulfur metabolism. Our study provided fundamental insights into how HS affected the physiology and rumen microbial compositions of goats and how both microbiome and host-dependent mechanisms contributed to these changes. These findings could potentially suggest strategies for mitigating the adverse effects of HS, including changes in the microbial population and energy metabolism in goats.

Indexed as

GoatsHeat-Shock ResponseMetabolomicsRumenAnimalsBiomarkersEnergy MetabolismGastrointestinal MicrobiomeMetabolomeMicrobiotaRepublic of KoreaBiomarkersGoatHeat stressMetabolomicMetataxonomicMulti-omics

Identifiers

PMID39733052
PMCPMC11682336

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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 Socratic graph.