Evidence map›Paper›PMID 21842904›Full record

ArticleJournal of the American Chemical Society2011

Amplification, mutation, and sequencing of a six-letter synthetic genetic system.

Zunyi Yang, Fei Chen, J Brian Alvarado, Steven A Benner

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

107 citing papers in PubMed.

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47 more citing papers are in PubMed but not listed here.

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

4 authors.

Zunyi YangFoundation for Applied Molecular Evolution (FfAME), Gainesville, Florida 32601, United States.
Fei Chen
J Brian Alvarado
Steven A Benner

Funding

Near Term Development of Reagents and Enzymes for Genome SequencingR01HG004831 · NHGRI · FOUNDATION FOR APPLIED MOLECULAR EVOLUTN · PI BENNER, STEVEN A · 2008 to 2010
$1.4M
Artificial Genetic SystemsR01GM081527 · NIGMS · FOUNDATION FOR APPLIED MOLECULAR EVOLUTN · PI BENNER, STEVEN A · 2007 to 2010
$1.2M
NHGRI NIH HHS R01 HG004831NHGRI NIH HHS R01HG004831NIGMS NIH HHS R01 GM081527NIGMS NIH HHS R01GM081527
6 · The paper itself

Abstract

The next goals in the development of a synthetic biology that uses artificial genetic systems will require chemistry-biology combinations that allow the amplification of DNA containing any number of sequential and nonsequential nonstandard nucleotides. This amplification must ensure that the nonstandard nucleotides are not unidirectionally lost during PCR amplification (unidirectional loss would cause the artificial system to revert to an all-natural genetic system). Further, technology is needed to sequence artificial genetic DNA molecules. The work reported here meets all three of these goals for a six-letter artificially expanded genetic information system (AEGIS) that comprises four standard nucleotides (G, A, C, and T) and two additional nonstandard nucleotides (Z and P). We report polymerases and PCR conditions that amplify a wide range of GACTZP DNA sequences having multiple consecutive unnatural synthetic genetic components with low (0.2% per theoretical cycle) levels of mutation. We demonstrate that residual mutation processes both introduce and remove unnatural nucleotides, allowing the artificial genetic system to evolve as such, rather than revert to a wholly natural system. We then show that mechanisms for these residual mutation processes can be exploited in a strategy to sequence "six-letter" GACTZP DNA. These are all not yet reported for any other synthetic genetic system.

Indexed as

Polymerase Chain ReactionDNAMutationDNA

Identifiers

PMID21842904
PMCPMC3427765

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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.