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Record W2129739047 · doi:10.1111/1574-6941.12246

Monitoring the rumen pectinolytic bacteria<i>Treponema saccharophilum</i>using real-time PCR

2013· article· en· W2129739047 on OpenAlexaff
Jing Liu, Jiakun Wang, Wen Zhu, Yiyi Pu, Leluo Guan, Jianxin Liu

Bibliographic record

VenueFEMS Microbiology Ecology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Alberta
FundersNational Key Research and Development Program of ChinaCommonwealth Scientific and Industrial Research Organisation
KeywordsRumenBiologyPyrosequencing16S ribosomal RNARuminococcusBacteriaPopulationHayMicrobiologyFood scienceGeneBotanyGeneticsFermentation

Abstract

fetched live from OpenAlex

Treponema saccharophilum is a pectinolytic bacterium isolated from the bovine rumen. The abundance of this bacterium has not been well determined, reflecting the lack of a reliable and accurate detection method. To develop a rapid method for monitoring T. saccharophilum, we performed pyrosequencing of genomic DNA isolated from rumen microbiota to explore the 16S rRNA gene sequences of T. saccharophilum candidates. Species-specific primers were designed based on fifteen sequences of partial 16S rRNA genes generated through pyrosequencing with 97% or higher similarity with T. saccharophilum DSM2985 along with sequence from type strain. The relative abundance of T. saccharophilum was quantified in both in vitro and in vivo rumen systems with varied pectin-containing forages using real-time PCR. There was a clear association of T. saccharophilum with alfalfa hay, which contains more pectin than Chinese wild rye hay or corn stover. The relative abundance of T. saccharophilum was as high as 0.58% in vivo, comparable with the population density of other common rumen bacteria. It is recognized that T. saccharophilum plays an important role in pectin digestion in the rumen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.019
GPT teacher head0.216
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations48
Published2013
Admission routes1
Has abstractyes

Explore more

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