Evidence map›Paper›PMID 30325945›Full record

ArticlePloS one2018

De novo genome and transcriptome analyses provide insights into the biology of the trematode human parasite Fasciolopsis buski.

Devendra Kumar Biswal, Tanmoy Roychowdhury, Priyatama Pandey, Veena Tandon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Devendra Kumar BiswalBioinformatics Centre, North-Eastern Hill University, Shillong, Meghalaya, India.
Tanmoy RoychowdhurySchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Priyatama PandeySchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Veena TandonDepartment of Zoology, North-Eastern Hill University, Shillong, Meghalaya, India.ORCID 0000-0003-4315-2082
Jawaharlal Nehru University · INNorth Eastern Hill University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many trematode parasites cause infection in humans and are thought to be a major public health problem. Their ecological diversity in different regions provides challenging questions on evolution of these organisms. In this report, we perform transcriptome analysis of the giant intestinal fluke, Fasciolopsis buski, using next generation sequencing technology. Short read sequences derived from polyA containing RNA of this organism were assembled into 30,677 unigenes that led to the annotation of 12,380 genes. Annotation of the assembled transcripts enabled insight into processes and pathways in the intestinal fluke, such as RNAi pathway and energy metabolism. The expressed kinome of the organism was characterized by identifying all protein kinases. A rough draft genome assembly for Fasciolopsis buski is also reported herewith with SRA accessions for crosschecking the findings in the analyzed transcriptome data. Transcriptome data also helped us to identify some of the expressed transposable elements. Though many Long Interspersed elements (LINEs) were identified, only two Short Interspersed Elements (SINEs) were visible. Overall transcriptome and draft genome analysis of F. buski helped us to characterize some of its important biological characteristics and provided enormous resources for development of a suitable diagnostic system and anti-parasitic therapeutic molecules.

Indexed as

Genome, HelminthTranscriptomeAnimalsFasciolidaeGene Expression ProfilingGenomicsHelminth ProteinsHumansLong Interspersed Nucleotide ElementsPhylogenySequence HomologyShort Interspersed Nucleotide ElementsSus scrofaHelminth Proteins

Identifiers

PMID30325945
PMCPMC6191129
OpenAlexW2952487388

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.