ArticleBMC genomics2016
Comparative genomics and transcriptomics of Pichia pastoris.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 49 papers.
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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.
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Who cites it
49 citing papers in PubMed, 115 citations in OpenAlex.
- Yarrowia lipolytica and Komagataella phaffii (Pichia pastoris) as Hosts for Heterologous Expression of Lipases.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Deletion of low-essentiality, secretion-associated genes enhances recombinant protein production in Komagataella phaffii.Microbial cell factories · 2026Article
- Pichia pastoris Genomic Resources: Accessibility, Recommendations, and Pitfalls.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A chimeric rather than native secretion signal elicits stress-related transcriptional adaption during 75k γ-secalin production inFEMS microbes · 2026Article
- Pichia pastoris RNA-Sequencing and Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- The Impact of Methanol Concentration on Recombinant Protein Glycosylation in Pichia pastoris SuperMan5.Microbial biotechnology · 2025Article
- Decoding the Genome of the Komagataella phaffii Type Strain CBS 2612.Yeast (Chichester, England) · 2025Article
- Ancient origin and high diversity of zymocin-like killer toxins in the budding yeast subphylum.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Adaptation of Aglycosylated Monoclonal Antibodies for Improved Production in Komagataella phaffii.Biotechnology and bioengineering · 2025Article
- Identification and functional analysis of growth rate associated long non-coding RNAs inComputational and structural biotechnology journal · 2025Article
- CRISPR-Cas9 knockout screen informs efficient reduction of the Komagataella phaffii secretome.Microbial cell factories · 2024Article
- Genomic factors shape carbon and nitrogen metabolic niche breadth across Saccharomycotina yeasts.Science (New York, N.Y.) · 2024Article
- OPENPichia: licence-free Komagataella phaffii chassis strains and toolkit for protein expression.Nature microbiology · 2024Article
- A supernumerary synthetic chromosome in Komagataella phaffii as a repository for extraneous genetic material.Microbial cell factories · 2023Article
- Genetic tools for metabolic engineering ofEngineering microbiology · 2023Review
- EngineeringSynthetic and systems biotechnology · 2023Article
- A genome-informed higher rank classification of the biotechnologically important fungal subphylumStudies in mycology · 2023Article
- Isolation and evaluation of strong endogenous promoters for the heterologous expression of proteins in Pichia pastoris.World journal of microbiology & biotechnology · 2022Article
- Comparative proteomics analysis ofSynthetic and systems biotechnology · 2022Article
- Genotypic and phenotypic diversity among Komagataella species reveals a hidden pathway for xylose utilization.Microbial cell factories · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPichia pastoris has emerged as an important alternative host for producing recombinant biopharmaceuticals, owing to its high cultivation density, low host cell protein burden, and the development of strains with humanized glycosylation. Despite its demonstrated utility, relatively little strain engineering has been performed to improve Pichia, due in part to the limited number and inconsistent frameworks of reported genomes and transcriptomes. Furthermore, the co-mingling of genomic, transcriptomic and fermentation data collected about Komagataella pastoris and Komagataella phaffii, the two strains co-branded as Pichia, has generated confusion about host performance for these genetically distinct species. Generation of comparative high-quality genomes and transcriptomes will enable meaningful comparisons between the organisms, and potentially inform distinct biotechnological utilies for each species.
resultsHere, we present a comprehensive and standardized comparative analysis of the genomic features of the three most commonly used strains comprising the tradename Pichia: K. pastoris wild-type, K. phaffii wild-type, and K. phaffii GS115. We used a combination of long-read (PacBio) and short-read (Illumina) sequencing technologies to achieve over 1000X coverage of each genome. Construction of individual genomes was then performed using as few as seven individual contigs to create gap-free assemblies. We found substantial syntenic rearrangements between the species and characterized a linear plasmid present in K. phaffii. Comparative analyses between K. phaffii genomes enabled the characterization of the mutational landscape of the GS115 strain. We identified and examined 35 non-synonomous coding mutations present in GS115, many of which are likely to impact strain performance. Additionally, we investigated transcriptomic profiles of gene expression for both species during cultivation on various carbon sources. We observed that the most highly transcribed genes in both organisms were consistently highly expressed in all three carbon sources examined. We also observed selective expression of certain genes in each carbon source, including many sequences not previously reported as promoters for expression of heterologous proteins in yeasts.
conclusionsOur studies establish a foundation for understanding critical relationships between genome structure, cultivation conditions and gene expression. The resources we report here will inform and facilitate rational, organism-wide strain engineering for improved utility as a host for protein production.
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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.