Relationships between rumen methanogens and fungal communities and their response to changes in alfalfa forms and starch in sheep diets

Alfalfa forms and rumen degradable starch (RDS) levels in diets can profoundly affect growth performance and rumen fermentation patterns, this influence may result in variations in rumen microbiota. However, the effects of RDS levels on methanogenic and fungal communities in alfalfa hay (AH) or alfalfa silage (AS) diets, and the interaction between methanogens and fungi with growth performance and rumen fermentation patterns, remain unknown. In this study, a 2 × 2 factorial design resulted in four diets: two alfalfa forms (AH and AS) and two RDS levels (LR: 14.85% DM RDS; and HR: 20.21% DM RDS). We used 32 female Suffolk sheep for the experiment. On day 75 (including a 15-day transition period and a 60-day trial period), rumen content was collected after slaughter to examine the ruminal methanogens and fungi. The AHHR diet reduced the methanogen Chao 1 index compared to the AS diets (<i>P</i> < 0.05), and the Shannon index was lower than in the ASLR diet (<i>P</i> < 0.05). The fungi Chao 1 index was higher in the AH diets than in the ASHR diet (<i>P</i> < 0.05), and the fungi Shannon index was higher in the LR diets than in the HR diets (<i>P</i> < 0.05). The relative abundance of <i>Aspergillus</i> in the AHLR diet was significantly higher than in the AS diets (<i>P</i> < 0.01), and the relative abundance of <i>Occultifur</i> and <i>Meyerozyma</i> were decreased in the AH diets than in the AS diets (<i>P</i> < 0.05). The LEfSe analysis showed that <i>Methanobrevibacter_sp_YE315</i> and <i>Methanobrevibacter_sp_AbM4</i> were enriched in the ASLR diet, while <i>Methanobrevibacter_millerae</i> was enriched in the ASHR diet. For the fungal biomarkers, the AHLR diet included <i>Aspergillus</i>, <i>Metschnikowia</i>, and <i>unclassified_f:Stachybotryaceae</i>; the AHHR diet included <i>stachybotrys</i>, <i>Stemphylium</i>, and <i>Cystobasidium</i>; the ASLR diet included <i>unclassified_k:Fungi</i>, <i>Trichothecium</i>, and <i>Psathyrella</i>; and the ASHR diet included <i>Alfaria</i>. The correlation analysis results showed the relative abundance of <i>Methanobrevibacter</i>, <i>Methanoculleus</i>, <i>Penicillium</i>, <i>Cladosporium</i>, and <i>Exophiala</i> and the concentrations of isobutyrate and isovalerate, which may provide deeper insights into the previously observed differences.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiomes
Published
2025-04-09
DOI
https://doi.org/10.3389/frmbi.2025.1567462
Citations
3
Primary Topic
Ruminant Nutrition and Digestive Physiology
Type
article
Field-Weighted Citation Impact
5.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationships between rumen methanogens and fungal communities and their response to changes in alfalfa forms and starch in sheep diets

Renhua Na, Kenan Li, Haidong Du, Jing Zhang et al.
3 citations
Frontiers in Microbiomes
Ruminant Nutrition and Digestive Physiology
5.71
article

Relationships between rumen methanogens and fungal communities and their response to changes in alfalfa forms and starch in sheep diets

Renhua Na, Kenan Li, Haidong Du, Jing Zhang, Yu Zhang, Shuwei Liu, Yulan Liu, Wenliang Guo, Meila Na
article en
3 citations

Abstract

Alfalfa forms and rumen degradable starch (RDS) levels in diets can profoundly affect growth performance and rumen fermentation patterns, this influence may result in variations in rumen microbiota. However, the effects of RDS levels on methanogenic and fungal communities in alfalfa hay (AH) or alfalfa silage (AS) diets, and the interaction between methanogens and fungi with growth performance and rumen fermentation patterns, remain unknown. In this study, a 2 × 2 factorial design resulted in four diets: two alfalfa forms (AH and AS) and two RDS levels (LR: 14.85% DM RDS; and HR: 20.21% DM RDS). We used 32 female Suffolk sheep for the experiment. On day 75 (including a 15-day transition period and a 60-day trial period), rumen content was collected after slaughter to examine the ruminal methanogens and fungi. The AHHR diet reduced the methanogen Chao 1 index compared to the AS diets (<i>P</i> < 0.05), and the Shannon index was lower than in the ASLR diet (<i>P</i> < 0.05). The fungi Chao 1 index was higher in the AH diets than in the ASHR diet (<i>P</i> < 0.05), and the fungi Shannon index was higher in the LR diets than in the HR diets (<i>P</i> < 0.05). The relative abundance of <i>Aspergillus</i> in the AHLR diet was significantly higher than in the AS diets (<i>P</i> < 0.01), and the relative abundance of <i>Occultifur</i> and <i>Meyerozyma</i> were decreased in the AH diets than in the AS diets (<i>P</i> < 0.05). The LEfSe analysis showed that <i>Methanobrevibacter_sp_YE315</i> and <i>Methanobrevibacter_sp_AbM4</i> were enriched in the ASLR diet, while <i>Methanobrevibacter_millerae</i> was enriched in the ASHR diet. For the fungal biomarkers, the AHLR diet included <i>Aspergillus</i>, <i>Metschnikowia</i>, and <i>unclassified_f:Stachybotryaceae</i>; the AHHR diet included <i>stachybotrys</i>, <i>Stemphylium</i>, and <i>Cystobasidium</i>; the ASLR diet included <i>unclassified_k:Fungi</i>, <i>Trichothecium</i>, and <i>Psathyrella</i>; and the ASHR diet included <i>Alfaria</i>. The correlation analysis results showed the relative abundance of <i>Methanobrevibacter</i>, <i>Methanoculleus</i>, <i>Penicillium</i>, <i>Cladosporium</i>, and <i>Exophiala</i> and the concentrations of isobutyrate and isovalerate, which may provide deeper insights into the previously observed differences.

Frontiers in MicrobiomesVol. 4
Inner Mongolia Agricultural University (CN), Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences (CN), Institute of Grassland Research (CN)
Openalex Percentile: Top 5%
Ruminant Nutrition and Digestive Physiology
5.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.