Evidence map›Paper›PMID 31861815›Full record

ArticleGenes2019

Functional Genomic Identification of Cadmium Resistance Genes from a High GC Clone Library by Coupling the Sanger and PacBio Sequencing Strategies.

Jinghao Chen, Chao Xing, Xin Zheng, Xiaofang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Jinghao ChenHebei Key Laboratory of Soil Ecology, Key Laboratory for Agricultural Water Resource, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China.
Chao XingHebei Key Laboratory of Soil Ecology, Key Laboratory for Agricultural Water Resource, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China.
Xin ZhengHebei Key Laboratory of Soil Ecology, Key Laboratory for Agricultural Water Resource, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China.
Xiaofang LiHebei Key Laboratory of Soil Ecology, Key Laboratory for Agricultural Water Resource, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China.ORCID 0000-0003-1554-4484
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional (meta) genomics allows the high-throughput identification of functional genes in a premise-free way. However, it is still difficult to perform Sanger sequencing for high GC DNA templates, which hinders the functional genomic exploration of a high GC genomic library. Here, we developed a procedure to resolve this problem by coupling the Sanger and PacBio sequencing strategies. Identification of cadmium (Cd) resistance genes from a small-insert high GC genomic library was performed to test the procedure. The library was generated from a high GC (75.35%) bacterial genome. Nineteen clones that conferred Cd resistance to

Indexed as

Drug Resistance, BacterialEscherichia coliGene LibraryGenome, BacterialGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNACellulomonasfunctional genomicshigh GC DNA libraryPacBio Sequel

Identifiers

PMID31861815
PMCPMC7016576
OpenAlexW2994612539

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.