Evidence map›Paper›PMID 26982336›Full record

ArticlePloS one2016

An Approach to Function Annotation for Proteins of Unknown Function (PUFs) in the Transcriptome of Indian Mulberry.

K H Dhanyalakshmi, Mahantesha B N Naika, R S Sajeevan, Oommen K Mathew, K Mohamed Shafi, Ramanathan Sowdhamini, Karaba N Nataraja

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. In-Silico Functional Annotation ofFrontiers in genetics · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Overexpression of a Novel Arabidopsis GeneFrontiers in plant science · 2020
    Article
  8. Article
  9. Article
  10. Physiological and Proteomic Responses of Mulberry Trees (International journal of molecular sciences · 2019
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. 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

7 authors.

K H DhanyalakshmiDepartment of Crop Physiology, University of Agricultural Sciences, GKVK, Bengaluru, 560065, India.
Mahantesha B N NaikaNational Centre for Biological Sciences, TIFR, GKVK campus, Bengaluru, 560065, India.
R S SajeevanDepartment of Crop Physiology, University of Agricultural Sciences, GKVK, Bengaluru, 560065, India.
Oommen K MathewNational Centre for Biological Sciences, TIFR, GKVK campus, Bengaluru, 560065, India.
K Mohamed ShafiNational Centre for Biological Sciences, TIFR, GKVK campus, Bengaluru, 560065, India.
Ramanathan SowdhaminiNational Centre for Biological Sciences, TIFR, GKVK campus, Bengaluru, 560065, India.
Karaba N NatarajaDepartment of Crop Physiology, University of Agricultural Sciences, GKVK, Bengaluru, 560065, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modern sequencing technologies are generating large volumes of information at the transcriptome and genome level. Translation of this information into a biological meaning is far behind the race due to which a significant portion of proteins discovered remain as proteins of unknown function (PUFs). Attempts to uncover the functional significance of PUFs are limited due to lack of easy and high throughput functional annotation tools. Here, we report an approach to assign putative functions to PUFs, identified in the transcriptome of mulberry, a perennial tree commonly cultivated as host of silkworm. We utilized the mulberry PUFs generated from leaf tissues exposed to drought stress at whole plant level. A sequence and structure based computational analysis predicted the probable function of the PUFs. For rapid and easy annotation of PUFs, we developed an automated pipeline by integrating diverse bioinformatics tools, designated as PUFs Annotation Server (PUFAS), which also provides a web service API (Application Programming Interface) for a large-scale analysis up to a genome. The expression analysis of three selected PUFs annotated by the pipeline revealed abiotic stress responsiveness of the genes, and hence their potential role in stress acclimation pathways. The automated pipeline developed here could be extended to assign functions to PUFs from any organism in general. PUFAS web server is available at http://caps.ncbs.res.in/pufas/ and the web service is accessible at http://capservices.ncbs.res.in/help/pufas.

Indexed as

TranscriptomeAmino Acid SequenceMolecular Sequence DataMorusPhylogenyPlant ProteinsProtein BindingSequence Homology, Amino AcidPlant Proteins

Identifiers

PMID26982336
PMCPMC4794119

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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.