Evidence map›Paper›PMID 37679437›Full record

ArticleCommunications biology2023

High quality de novo genome assembly of the non-conventional yeast Kazachstania bulderi describes a potential low pH production host for biorefineries.

Laura N Balarezo-Cisneros, Soukaina Timouma, Alistair Hanak, Andrew Currin, Fernando Valle, Daniela Delneri

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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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

6 authors.

Laura N Balarezo-Cisneros *Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-9012-4733
Soukaina Timouma *Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-0178-4228
Alistair HanakManchester Institute of Biotechnology, University of Manchester, Manchester, UK.
Andrew CurrinManchester Institute of Biotechnology, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-7845-8837
Fernando ValleBP Biosciences Center, San Diego, CA, USA.
Daniela DelneriManchester Institute of Biotechnology, University of Manchester, Manchester, UK. d.delneri@manchester.ac.uk.ORCID http://orcid.org/0000-0001-8070-411X

Funding

Biotechnology and Biological Sciences Research Council BB/T002123/1
6 · The paper itself

Abstract

Kazachstania bulderi is a non-conventional yeast species able to grow efficiently on glucose and δ-gluconolactone at low pH. These unique traits make K. bulderi an ideal candidate for use in sustainable biotechnology processes including low pH fermentations and the production of green chemicals including organic acids. To accelerate strain development with this species, detailed information of its genetics is needed. Here, by employing long read sequencing we report a high-quality phased genome assembly for three strains of K. bulderi species, including the type strain. The sequences were assembled into 12 chromosomes with a total length of 14 Mb, and the genome was fully annotated at structural and functional levels, including allelic and structural variants, ribosomal array and mating type locus. This high-quality reference genome provides a resource to advance our fundamental knowledge of biotechnologically relevant non-conventional yeasts and to support the development of genetic tools for manipulating such strains towards their use as production hosts in biotechnological processes.

Indexed as

SaccharomycetalesAllelesBiotechnologyHydrogen-Ion Concentration

Identifiers

PMID37679437
PMCPMC10484914

What OpenQuestion holds

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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.