Evidence map›Paper›PMID 31799118›Full record

ArticleMetabolic engineering communications2020

Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi.

St Elmo Wilken, Susanna Seppälä, Thomas S Lankiewicz, Mohan Saxena, John K Henske, Asaf A Salamov, Igor V Grigoriev, Michelle A O'Malley

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Metabolic engineering communications, 2020. 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  17. Grand Challenges in Fungal Biotechnology.Frontiers in fungal biology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

St Elmo WilkenDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
Susanna SeppäläDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
Thomas S LankiewiczDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
Mohan SaxenaDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
John K HenskeDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
Asaf A SalamovUS Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA.
Igor V GrigorievUS Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA.
Michelle A O'MalleyDepartment of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA.
University of California, Santa Barbara · USJoint Genome Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaerobic fungi (Neocallimastigomycota) are emerging non-model hosts for biotechnology due to their wealth of biomass-degrading enzymes, yet tools to engineer these fungi have not yet been established. Here, we show that the anaerobic gut fungi have the most GC depleted genomes among 443 sequenced organisms in the fungal kingdom, which has ramifications for heterologous expression of genes as well as for emerging CRISPR-based genome engineering approaches. Comparative genomic analyses suggest that anaerobic fungi may contain cellular machinery to aid in sexual reproduction, yet a complete mating pathway was not identified. Predicted proteomes of the anaerobic fungi also contain an unusually large fraction of proteins with homopolymeric amino acid runs consisting of five or more identical consecutive amino acids. In particular, threonine runs are especially enriched in anaerobic fungal carbohydrate active enzymes (CAZymes) and this, together with a high abundance of predicted N-glycosylation motifs, suggests that gut fungal CAZymes are heavily glycosylated, which may impact heterologous production of these biotechnologically useful enzymes. Finally, we present a codon optimization strategy to aid in the development of genetic engineering tools tailored to these early-branching anaerobic fungi.

Indexed as

Amino acid distributionAnaerobeCodon optimizationFungiGenome sequencingNeocallimastigomycota

Identifiers

PMID31799118
PMCPMC6883316
OpenAlexW2983919513

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.