Evidence map›Paper›PMID 33661344›Full record

ReviewApplied microbiology and biotechnology2021

Shifts of microbiota during cheese production: impact on production and quality.

Jun Haeng Nam, Yong Sun Cho, Bryna Rackerby, Lisbeth Goddik, Si Hong Park

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Application ofFoods (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

5 authors.

Jun Haeng NamDepartment of Food Science and Technology, Oregon State University, 3051 SW Campus Way, Corvallis, OR, 97331, USA.ORCID https://orcid.org/0000-0001-5904-9464
Yong Sun ChoDepartment of Food Science and Technology, Oregon State University, 3051 SW Campus Way, Corvallis, OR, 97331, USA.ORCID https://orcid.org/0000-0001-9972-1454
Bryna RackerbyDepartment of Food Science and Technology, Oregon State University, 3051 SW Campus Way, Corvallis, OR, 97331, USA.ORCID https://orcid.org/0000-0003-0582-5928
Lisbeth GoddikDepartment of Food Science and Technology, Oregon State University, 3051 SW Campus Way, Corvallis, OR, 97331, USA.ORCID https://orcid.org/0000-0002-3657-7173
Si Hong ParkDepartment of Food Science and Technology, Oregon State University, 3051 SW Campus Way, Corvallis, OR, 97331, USA. sihong.park@oregonstate.edu.ORCID http://orcid.org/0000-0001-6587-7020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-throughput DNA sequencing (HTS) method is used to identify microbes in cheese and their potential functional properties. The technique can be applied to the microbiota of the cheese processing environment, raw milk, curd, whey, and starter cultures, and be used to improve the quality, safety, and other physicochemical properties of the final product. The HTS method is also utilized to study the microbiota shift of different types of cheeses during processing, as the composition and functional properties of the microbiome provide unique characteristics to different cheeses. Although there are several reviews that focused on microbiota of various types of cheeses, this review focuses on evaluating the microbiota shift of different types of cheese production and highlights key bacteria in each step of the processing as well as microbiota of various types of cheeses. KEY POINTS: • High-throughput sequencing can be applied to identify microbiota in cheese. • Microbiota in cheese is changed during making process and aging. • Starter culture plays an important role to establish microbiota in cheese.

Indexed as

CheeseMicrobiotaAnimalsBacteriaFood MicrobiologyMilkAgingCheeseHigh-throughput sequencingMicrobiotaStarter culture

Identifiers

What OpenQuestion holds

Textmetadata
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.