Evidence map›Paper›PMID 30629174›Full record

ArticleFEMS microbiology letters2019

High-throughput screening for texturing Lactococcus strains.

Vera Kuzina Poulsen, Patrick Derkx, Gunnar Oregaard

Open access · hybridAbstract read
In one paragraph

Article in FEMS microbiology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Foods (Basel, Switzerland) · 2021
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  11. Gene-Trait Matching and Prevalence of Nisin Tolerance Systems inFrontiers in bioengineering and biotechnology · 2021
    Article
  12. Article
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  15. Clustering ofFoods (Basel, Switzerland) · 2019
    Article
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 at 1 institution in 1 country.

Vera Kuzina PoulsenDiscovery, R&D, Chr. Hansen A/S, 10-12 Bøge Allé, DK2970, Hørsholm, Denmark.
Patrick DerkxDiscovery, R&D, Chr. Hansen A/S, 10-12 Bøge Allé, DK2970, Hørsholm, Denmark.
Gunnar OregaardDiscovery, R&D, Chr. Hansen A/S, 10-12 Bøge Allé, DK2970, Hørsholm, Denmark.
Chr. Hansen (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the food industry, lactic acid bacteria (LAB) are used in dairy fermentations, extending the shelf life by lowering the pH and also affecting taste and texture of the fermented milk. The texture of fermented milk is an important quality parameter, affecting consumer acceptance. Finding LAB providing desired texture of a product is time consuming and laborious when using standard methods for measuring texture, e.g. rheology measurements. Screening of 986 Lactococcus lactis strains resulted in few strains with the ability to enhance texture, demonstrating the necessity of implementation of high-throughput screening methods. A high-throughput screening assay was developed, combining small-scale 96-well microtiter plates and pressure measurements during liquid handling, e.g. aspiration, to find strains that give good texture in fermented milk. Only about 1% of the strains were found to enhance milk texture. Two of the texturing strains belong to L. lactis subsp. lactis, which are the first texturing strains from this subsp. reported. Mining for eps gene clusters responsible for exocellular polysaccharide production was performed, as polysaccharide production can contribute positively to fermented milk texture. Comparative genomics approach revealed four types of texturing L. lactis strains with diverse eps gene clusters.

Indexed as

AnimalsBacterial ProteinsCattleCheeseFermentationFood MicrobiologyLactococcus lactisMilkRheologyBacterial Proteins

Identifiers

PMID30629174
PMCPMC6341772
OpenAlexW2910701659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.