Evidence map›Paper›PMID 26016814›Full record

ArticleExtremophiles : life under extreme conditions2015

Characterization of a novel thermostable patatin-like protein from a Guaymas basin metagenomic library.

Ling Fu, Ying He, Fangdi Xu, Qun Ma, Fengping Wang, Jun Xu

Abstract read
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In one paragraph

Article in Extremophiles : life under extreme conditions, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ling FuState Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Dongchuan Road 800, 200240, Shanghai, China.
Ying He
Fangdi Xu
Qun Ma
Fengping Wang
Jun Xu
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep-sea hydrothermal vents are a natural habitat for thermophiles, in which contain plenty of enzymes that can function at high temperatures. In this work, we constructed a fosmid library in Escherichia coli using metagenomic DNA isolated from a chimney sample collected in the hydrothermal vents in Guaymas Basin. The library was screened for lipolytic activity and positive clones were subjected to subcloning. A novel patatin-like protein (PLP) that exhibited less than 45 % identity in amino acid sequence to known enzymes was obtained. Common features of the patatin-like proteins, such as four conserved blocks, were detected. Interestingly, there was an Ala at site 42 in PLP instead of the first Gly-residue in the consensus sequence Gly-X-Ser-X-Gly found in other PLP homologs. The active sites of PLP were Ser44 and Asp160. Spectrophotometric assays with different p-nitrophenyl esters demonstrated a preference for p-nitrophenyl butyrate (C4) and p-nitrophenyl decanoate (C10). Moreover, PLP demonstrated optimal activity at 70 °C and at pH 9.0 (Tris-HCl). The activation energy from the linear Arrhenius plot was found to be 38.3 ± 0.9 kJ/mol. The K m and V max of PLP for C4 were 304 ± 38 μM and 14 ± 0.38 μmol min(-1) mg(-1), respectively. Gene-mining of the metagenome dataset that was generated by pyrosequencing the same chimney sample resulted in identification of 20 PLP homolog gene fragments, which could represent promising examples of this category of thermostable proteins.

Indexed as

Databases, ProteinGene LibraryMetagenomeAmino Acid MotifsCarboxylic Ester HydrolasesHydrothermal VentsCarboxylic Ester Hydrolases

Identifiers

PMID26016814
OpenAlexW401580253

What OpenQuestion holds

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Read underepoch 390

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.