Evidence map›Paper›PMID 20962349›Full record

ArticleThe Journal of biological chemistry2010

Prospecting metagenomic enzyme subfamily genes for DNA family shuffling by a novel PCR-based approach.

Qiuyan Wang, Huili Wu, Anming Wang, Pengfei Du, Xiaolin Pei, Haifeng Li, Xiaopu Yin, Lifeng Huang, Xiaolong Xiong

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2010. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Culture-independent discovery of natural products from soil metagenomes.Journal of industrial microbiology & biotechnology · 2016
    Review
  6. Article
  7. Article
  8. New extremophilic lipases and esterases from metagenomics.Current protein & peptide science · 2014
    Review
  9. Review
  10. Review
  11. Review
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

9 authors.

Qiuyan WangCenter for Biomedicine and Health, Hangzhou Normal University, Hangzhou 310012, China.
Huili Wu
Anming Wang
Pengfei Du
Xiaolin Pei
Haifeng Li
Xiaopu Yin
Lifeng Huang
Xiaolong Xiong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA family shuffling is a powerful method for enzyme engineering, which utilizes recombination of naturally occurring functional diversity to accelerate laboratory-directed evolution. However, the use of this technique has been hindered by the scarcity of family genes with the required level of sequence identity in the genome database. We describe here a strategy for collecting metagenomic homologous genes for DNA shuffling from environmental samples by truncated metagenomic gene-specific PCR (TMGS-PCR). Using identified metagenomic gene-specific primers, twenty-three 921-bp truncated lipase gene fragments, which shared 64-99% identity with each other and formed a distinct subfamily of lipases, were retrieved from 60 metagenomic samples. These lipase genes were shuffled, and selected active clones were characterized. The chimeric clones show extensive functional and genetic diversity, as demonstrated by functional characterization and sequence analysis. Our results indicate that homologous sequences of genes captured by TMGS-PCR can be used as suitable genetic material for DNA family shuffling with broad applications in enzyme engineering.

Indexed as

Amino Acid SequenceCloning, MolecularDNADNA PrimersEscherichia coliGene LibraryGenetic EngineeringGenomicsLipaseMetagenomicsMolecular Sequence DataPhylogenyPlasmidsPolymerase Chain ReactionSequence Homology, Amino AcidDNADNA PrimersLipase

Identifiers

PMID20962349
PMCPMC3009877

What OpenQuestion holds

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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.