Evidence map›Paper›PMID 41436649›Full record

ArticleApplied microbiology and biotechnology2025

Culture-independent discovery of a novel thermotolerant lipase and its producer from mesophilic anaerobic digestion sludge.

Riku Sakurai, Yasuhiro Fukuda, Chika Tada

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Riku SakuraiLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, Osaki, Miyagi, Japan.
Yasuhiro FukudaLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, Osaki, Miyagi, Japan.
Chika TadaLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, Osaki, Miyagi, Japan. chika.tada.e1@tohoku.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaerobic digestion of lipid-rich wastes holds significant potential for enhanced biomethane production, due to the high energy density of lipids. However, to fully harness this potential, a deeper understanding of lipolytic microorganisms is essential, as key microbial players involved in lipid hydrolysis remain largely unidentified. In this study, we employed an integrated approach combining zymography, metaproteomics, and metagenomics to identify the lipolytic microorganisms from anaerobic digester sludge. This activity-based strategy identified a novel lipase distantly related to known lipases. Besides, although this lipase originates from a mesophilic environment, it exhibited unexpected extremophilic-like properties, with maximal activity at 97.5 °C and pH 11. We further reconstructed a metagenome-assembled genome encoding this lipase and demonstrated that it likely represents a novel genus closely related to Candidatus Scatomorpha. Metabolic reconstruction suggested that this bacterium hydrolyzes extracellular lipids and utilizes the resulting hydrolysate, glycerol, to produce lactate and ethanol. Habitat analysis revealed that this bacterium is specifically detected in anaerobic digesters, particularly those processing lipid-rich waste. These findings highlight the pivotal role of this bacterium in anaerobic lipid degradation.

Indexed as

BacteriaLipaseSewageAnaerobiosisHydrogen-Ion ConcentrationMetagenomeMetagenomicsPhylogenyLipaseSewageAnaerobic digestionLipaseLipidsMetagenomicsZymography

Identifiers

PMID41436649
PMCPMC12740960

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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 OpenQuestion graph.