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Record W6920609170 · doi:10.60692/rc9b4-a4r26

Biodiversity of Trichoderma in Neotropics

2011· article· en· W6920609170 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2011
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsTrichodermaTrichoderma reeseiCellulaseBiodiversityHypocreaAspergillusDecomposer

Abstract

fetched live from OpenAlex

Trichoderma species frequently are predominant over wide geographic regions in all climatic zones, where they are significant decomposers of woody and herbaceous materials. They are characterized by rapid growth, an ability to assimilate a diverse array of substrates, and by their production of an range of antimicrobials. Strains have been exploited for production of enzymes and antibiotics, bioremediation of xenobiotic substances, and as biological control agents against plant pathogenic fungi and nematodes. The main use of Trichoderma in global trade is derived from its high production of enzymes. Trichoderma reesei (teleomorph: Hypocrea jecorina) is the most widely employed cellulolytic organism in the world, although high levels of cellulase production are also seen in other species of this genus (Baig et al., 2003, Watanabe et al., 2006). Worldwide sales of enzymes had reached the figure of $ 1.6 billion by the year 2000 (Demain 2000, cited by Karmakar and Ray, 2011), with an annual growth of 6.5 to 10% not including pharmaceutical enzymes (Stagehands, 2008). Of these, cellulases comprise approximately 20% of the enzymes marketed worldwide (Tramoy et al., 2009). Cellulases of microbial origin are used to process food and animal feed, biofuel production, baking, textiles, detergents, paper pulp, agriculture and research areas at all levels (Karmakar and Ray, 2011). Most cellulases are derived from Trichoderma (section Longibrachiatum in particular) and Aspergillus (Begum et al., 2009). Trichoderma is also an efficient degrader of heteropolysaccharides such as xylan, and xylanases and mannanases are of importance in the production of fine paper (Watanabe et al., 2006). In addition, some strains of Trichoderma are agents of bioremediation, capable of assimilating heavy metals (Akhtar et al., 2009; Guillermina et al., 2002) and of degrading cyanide (Ezzi and Lynch, 2005) and pesticides with high persistence in the environment (Cross, 1999, Tang et al., 2009). The genus Trichoderma includes strains altogether producing an extremely wide range of metabolites, including compounds with antifungal activities (phenolic compounds, 6-┙pentyl-pyrone, viridofunginas, harzianopiridona), antibiotics (anthraquinone, harzianodiona, gliotoxin), plant growth regulators (ciclonerodiol, ┙-harzianopiridonapentyl-pyrone), antimicrobial peptides including more than 200 peptaibols, and even viridiol phytotoxic compounds with potential pharmaceutical uses as anti-tumor and immunomodulatory compounds (harzianodiona and gliotoxin). These and other metabolites that are unclassified inhibitors and anti-virus agents expand the prospects of industrial, pharmaceutical or other commercial uses of this organism (Sivasithanparam and Ghisalberti, 1998, Supothina et al., 2007, Vinal et al., 2006, Xiao-Yan et al., 2006).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.166
Teacher spread0.126 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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