Evidence map›Paper›PMID 27769192›Full record

ArticleBMC plant biology2016

Bioinformatic Identification and Analysis of Hydroxyproline-Rich Glycoproteins in Populus trichocarpa.

Allan M Showalter, Brian D Keppler, Xiao Liu, Jens Lichtenberg, Lonnie R Welch

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
11.0field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

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  11. International journal of molecular sciences · 2021
    Review
  12. The Arabinogalactan Protein Family ofPlants (Basel, Switzerland) · 2021
    Article
  13. The lncRNAPlant signaling & behavior · 2021
    Article
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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

5 authors at 1 institution in 1 country.

Allan M ShowalterDepartment of Environmental and Plant Biology, Molecular and Cellular Biology Program, Ohio University, 504 Porter Hall, Athens, OH, 45701-2979, USA. showalte@ohio.edu.ORCID 0000-0003-0775-4991
Brian D KepplerDepartment of Environmental and Plant Biology, Molecular and Cellular Biology Program, Ohio University, 504 Porter Hall, Athens, OH, 45701-2979, USA.
Xiao LiuDepartment of Environmental and Plant Biology, Molecular and Cellular Biology Program, Ohio University, 504 Porter Hall, Athens, OH, 45701-2979, USA.
Jens LichtenbergRuss College of Engineering and Technology, Center for Intelligent, Distributed and Dependable Systems, Ohio University, Athens, OH, 45701-2979, USA.
Lonnie R WelchRuss College of Engineering and Technology, Center for Intelligent, Distributed and Dependable Systems, Ohio University, Athens, OH, 45701-2979, USA.
Ohio University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHydroxyproline-rich glycoproteins (HRGPs) constitute a plant cell wall protein superfamily that functions in diverse aspects of growth and development. This superfamily contains three members: the highly glycosylated arabinogalactan-proteins (AGPs), the moderately glycosylated extensins (EXTs), and the lightly glycosylated proline-rich proteins (PRPs). Chimeric and hybrid HRGPs, however, also exist. A bioinformatics approach is employed here to identify and classify AGPs, EXTs, PRPs, chimeric HRGPs, and hybrid HRGPs from the proteins predicted by the completed genome sequence of poplar (Populus trichocarpa). This bioinformatics approach is based on searching for biased amino acid compositions and for particular protein motifs associated with known HRGPs with a newly revised and improved BIO OHIO 2.0 program. Proteins detected by the program are subsequently analyzed to identify the following: 1) repeating amino acid sequences, 2) signal peptide sequences, 3) glycosylphosphatidylinositol lipid anchor addition sequences, and 4) similar HRGPs using the Basic Local Alignment Search Tool (BLAST).

resultsThe program was used to identify and classify 271 HRGPs from poplar including 162 AGPs, 60 EXTs, and 49 PRPs, which are each divided into various classes. This is in contrast to a previous analysis of the Arabidopsis proteome which identified 162 HRGPs consisting of 85 AGPs, 59 EXTs, and 18 PRPs. Poplar was observed to have fewer classical EXTs, to have more fasciclin-like AGPs, plastocyanin AGPs and AG peptides, and to contain a novel class of PRPs referred to as the proline-rich peptides.

conclusionsThe newly revised and improved BIO OHIO 2.0 bioinformatics program was used to identify and classify the inventory of HRGPs in poplar in order to facilitate and guide basic and applied research on plant cell walls. The newly identified poplar HRGPs can now be examined to determine their respective structural and functional roles, including their possible applications in the areas plant biofuel and natural products for medicinal or industrial uses. Additionally, other plants whose genomes are sequenced can now be examined in a similar way using this bioinformatics program which will provide insight to the evolution of the HRGP family in the plant kingdom.

Indexed as

Amino Acid SequenceComputational BiologyGlycoproteinsHydroxyprolinePlant ProteinsPopulusGlycoproteinsHydroxyprolinePlant ProteinsArabinogalactan-proteinBioinformaticsExtensinHydroxyproline-rich glycoproteinPlant cell wallPoplarPopulus trichocarpaProline-rich protein

Identifiers

PMID27769192
PMCPMC5073881
OpenAlexW2537010068

What OpenQuestion holds

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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.