Evidence map›Paper›PMID 26098898›Full record

ArticlePloS one2015

Next Generation Sequencing and Transcriptome Analysis Predicts Biosynthetic Pathway of Sennosides from Senna (Cassia angustifolia Vahl.), a Non-Model Plant with Potent Laxative Properties.

Nagaraja Reddy Rama Reddy, Rucha Harishbhai Mehta, Palak Harendrabhai Soni, Jayanti Makasana, Narendra Athamaram Gajbhiye, Manivel Ponnuchamy, Jitendra Kumar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
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  4. Review
  5. Comparative transcriptome analysis and HPLC reveal candidate genes associated with synthesis of bioactive constituents inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
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  15. Tissue-specific transcriptome forPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
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  16. Review
  17. Article
  18. Frontiers in plant science · 2021
    Article
  19. 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

7 authors at 1 institution in 1 country.

Nagaraja Reddy Rama ReddyICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Rucha Harishbhai MehtaICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Palak Harendrabhai SoniICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Jayanti MakasanaICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Narendra Athamaram GajbhiyeICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Manivel PonnuchamyICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Jitendra KumarICAR-Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, Gujarat, India.
Directorate of Medicinal and Aromatic Plants Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senna (Cassia angustifolia Vahl.) is a world's natural laxative medicinal plant. Laxative properties are due to sennosides (anthraquinone glycosides) natural products. However, little genetic information is available for this species, especially concerning the biosynthetic pathways of sennosides. We present here the transcriptome sequencing of young and mature leaf tissue of Cassia angustifolia using Illumina MiSeq platform that resulted in a total of 6.34 Gb of raw nucleotide sequence. The sequence assembly resulted in 42230 and 37174 transcripts with an average length of 1119 bp and 1467 bp for young and mature leaf, respectively. The transcripts were annotated using NCBI BLAST with 'green plant database (txid 33090)', Swiss Prot, Kyoto Encylcopedia of Genes & Genomes (KEGG), Cluster of Orthologous Gene (COG) and Gene Ontology (GO). Out of the total transcripts, 40138 (95.0%) and 36349 (97.7%) from young and mature leaf, respectively, were annotated by BLASTX against green plant database of NCBI. We used InterProscan to see protein similarity at domain level, a total of 34031 (young leaf) and 32077 (mature leaf) transcripts were annotated against the Pfam domains. All transcripts from young and mature leaf were assigned to 191 KEGG pathways. There were 166 and 159 CDS, respectively, from young and mature leaf involved in metabolism of terpenoids and polyketides. Many CDS encoding enzymes leading to biosynthesis of sennosides were identified. A total of 10,763 CDS differentially expressing in both young and mature leaf libraries of which 2,343 (21.7%) CDS were up-regulated in young compared to mature leaf. Several differentially expressed genes found functionally associated with sennoside biosynthesis. CDS encoding for many CYPs and TF families were identified having probable roles in metabolism of primary as well as secondary metabolites. We developed SSR markers for molecular breeding of senna. We have identified a set of putative genes involved in various secondary metabolite pathways, especially those related to the synthesis of sennosides which will serve as an important platform for public information about gene expression, genomics, and functional genomics in senna.

Indexed as

TranscriptomeDNA, PlantHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMultigene FamilyOpen Reading FramesSenna ExtractSenna PlantSequence Analysis, DNADNA, PlantSenna Extract

Identifiers

PMID26098898
PMCPMC4476680
OpenAlexW772851175

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.