Evidence map›Paper›PMID 37149537›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Long-Read Metagenomics and CAZyme Discovery.

Alessandra Ferrillo, Carl Mathias Kobel, Arturo Vera-Ponce de León, Sabina Leanti La Rosa, Benoit Josef Kunath, Phillip Byron Pope, Live Heldal Hagen

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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

7 authors.

Alessandra FerrilloFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
Carl Mathias KobelFaculty of Bioscience, Norwegian University of Life Sciences, Aas, Norway.
Arturo Vera-Ponce de LeónFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
Sabina Leanti La RosaFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
Benoit Josef KunathLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
Phillip Byron PopeFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
Live Heldal HagenFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway. live.hagen@nmbu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms play a primary role in regulating biogeochemical cycles and are a valuable source of enzymes that have biotechnological applications, such as carbohydrate-active enzymes (CAZymes). However, the inability to culture the majority of microorganisms that exist in natural ecosystems restricts access to potentially novel bacteria and beneficial CAZymes. While commonplace molecular-based culture-independent methods such as metagenomics enable researchers to study microbial communities directly from environmental samples, recent progress in long-read sequencing technologies are advancing the field. We outline key methodological stages that are required as well as describe specific protocols that are currently used for long-read metagenomic projects dedicated to CAZyme discovery.

Indexed as

MetagenomicsMicrobiotaCarbohydratesHigh-Throughput Nucleotide SequencingMetagenomeCarbohydratesAssemblyBinningCarbohydrate-active enzymesLong-read metagenomicsMicrobial communities

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.