Structures of free-living and protozoa-associated methanogen communities in the bovine rumen differ according to comparative analysis of 16S rRNA and mcrA genes
Bibliographic record
Abstract
Structures of free-living and protozoa-associated methanogen (PAM) communities from forage-fed cattle were investigated by comparative sequence analysis of 16S rRNA and methyl coenzyme M reductase (mcrA) gene clone libraries. The free-living and protozoa-associated communities were composed of the same three genera [namely Methanobrevibacter, Methanomicrobium and rumen cluster C (RCC), which is distantly related to Thermoplasma]; however, the distribution of the methanogen genera differed between the two communities. Despite previous reports of potential bias for the degenerate mcrA primer set, the 16S rRNA (n = 100 clones) and mcrA (n = 92 clones) gene libraries exhibited a similar distribution pattern for the three methanogenic genera. RCC was more abundant in the free-living community and represented 72 and 42 % of the 16S rRNA and mrcA gene sequences, respectively, versus 54 and 13 % of the 16S rRNA and mrcA gene sequences from the PAM community, respectively. The majority of RCC sequences from the free-living and protozoa-associated communities belonged to different species-level operational taxonomic units. Methanobrevibacter species were more abundant in the PAM community and represented 42 and 79 % of clones for the 16S rRNA and mrcA gene libraries, respectively, versus 9 and 27 % of 16S rRNA and mrcA gene clones from the free-living community, respectively. Methanomicrobium species were predominantly free-living. Primers for quantitative PCR were designed to target specific methanogen groups and used to assess the effect of a high-grain diet on methanogen species composition. Switching the ruminant diet from forage to high-grain resulted in reduced protozoal diversity, along with a profound overall reduction in the relative abundance of RCC and an increase in the relative abundance of free-living Methanobrevibacter spp. It was unclear whether the reduced abundance of RCC in grain-fed animals was due to the loss of symbiotic protozoa species or due to broader changes in the rumen environment that affected both RCC and protozoa. Importantly, results from this study emphasize the need to consider the different methanogen communities when developing strategies for mitigating methane emissions in ruminants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".