Evidence map›Paper›PMID 36520709›Full record

ArticlePLoS biology2022

Identification of genetic variants of the industrial yeast Komagataella phaffii (Pichia pastoris) that contribute to increased yields of secreted heterologous proteins.

Benjamin Offei, Stephanie Braun-Galleani, Anjan Venkatesh, William T Casey, Kevin E O'Connor, Kevin P Byrne, Kenneth H Wolfe

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Microorganisms · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Benjamin OffeiUCD Conway Institute and School of Medicine, University College Dublin, Dublin, Ireland.
Stephanie Braun-GalleaniUCD Conway Institute and School of Medicine, University College Dublin, Dublin, Ireland.
Anjan VenkateshUCD Conway Institute and School of Medicine, University College Dublin, Dublin, Ireland.
William T CaseyBioplastech Ltd., NovaUCD, Belfield Innovation Park, University College Dublin, Dublin, Ireland.
Kevin E O'ConnorUCD Earth Institute and School of Biomolecular & Biomedical Science, University College Dublin, Dublin, Ireland.
Kevin P ByrneUCD Conway Institute and School of Medicine, University College Dublin, Dublin, Ireland.
Kenneth H WolfeUCD Conway Institute and School of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0003-4992-4979
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The yeast Komagataella phaffii (formerly called Pichia pastoris) is used widely as a host for secretion of heterologous proteins, but only a few isolates of this species exist and all the commonly used expression systems are derived from a single genetic background, CBS7435 (NRRL Y-11430). We hypothesized that other genetic backgrounds could harbor variants that affect yields of secreted proteins. We crossed CBS7435 with 2 other K. phaffii isolates and mapped quantitative trait loci (QTLs) for secretion of a heterologous protein, β-glucosidase, by sequencing individual segregant genomes. A major QTL mapped to a frameshift mutation in the mannosyltransferase gene HOC1, which gives CBS7435 a weaker cell wall and higher protein secretion than the other isolates. Inactivation of HOC1 in the other isolates doubled β-glucosidase secretion. A second QTL mapped to an amino acid substitution in IRA1 that tripled β-glucosidase secretion in 1-week batch cultures but reduced cell viability, and its effects are specific to this heterologous protein. Our results demonstrate that QTL analysis is a powerful method for dissecting the basis of biotechnological traits in nonconventional yeasts, and a route to improving their industrial performance.

Indexed as

CellulasesSaccharomycetalesPichiaRecombinant ProteinsYeastsCellulasesRecombinant Proteins

Identifiers

PMID36520709
PMCPMC9754263
OpenAlexW4311557139

What Socratic 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 Socratic graph.