Evidence map›Paper›PMID 30356044›Full record

ArticleNature communications2018

Gene synthesis allows biologists to source genes from farther away in the tree of life.

Aditya M Kunjapur, Philipp Pfingstag, Neil C Thompson

Abstract read
In one paragraph

Article in Nature communications, 2018. 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.

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  7. A roadmap for metagenomic enzyme discovery.Natural product reports · 2021
    Review
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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

3 authors.

Aditya M KunjapurDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. kunjapur@udel.edu.ORCID http://orcid.org/0000-0001-6869-9530
Philipp PfingstagSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA.
Neil C ThompsonComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. neil_t@mit.edu.ORCID http://orcid.org/0000-0001-9888-573X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene synthesis enables creation and modification of genetic sequences at an unprecedented pace, offering enormous potential for new biological functionality but also increasing the need for biosurveillance. In this paper, we introduce a bioinformatics technique for determining whether a gene is natural or synthetic based solely on nucleotide sequence. This technique, grounded in codon theory and machine learning, can correctly classify genes with 97.7% accuracy on a novel data set. We then classify ∼19,000 unique genes from the Addgene non-profit plasmid repository to investigate whether natural and synthetic genes have differential use in heterologous expression. Phylogenetic analysis of distance between source and expression organisms reveals that researchers are using synthesis to source genes from more genetically-distant organisms, particularly for longer genes. We provide empirical evidence that gene synthesis is leading biologists to sample more broadly across the diversity of life, and we provide a foundational tool for the biosurveillance community.

Indexed as

AlgorithmsBase SequenceComputational BiologyMachine LearningPhylogenyPlasmids

Identifiers

PMID30356044
PMCPMC6200774

What OpenQuestion holds

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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.