Evidence map›Paper›PMID 26290780›Full record

ArticlePeerJ2015

Comprehensive analyses of genomes, transcriptomes and metabolites of neem tree.

Nagesh A Kuravadi, Vijay Yenagi, Kannan Rangiah, H B Mahesh, Anantharamanan Rajamani, Meghana D Shirke, Heikham Russiachand, Ramya Malarini Loganathan, Chandana Shankara Lingu, Shilpa Siddappa and 3 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Identification of key enzymes responsible for protolimonoid biosynthesis in plants: Opening the door to azadirachtin production.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

13 authors at 2 institutions in 1 country.

Nagesh A Kuravadi *Genomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Vijay Yenagi *Genomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Kannan RangiahMetabolomics Facility, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
H B MaheshGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Anantharamanan RajamaniGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Meghana D ShirkeGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Heikham RussiachandGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Ramya Malarini LoganathanGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Chandana Shankara LinguGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Shilpa SiddappaGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
Aishwarya RamamurthyGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
B N SathyanarayanaPlant Tissue Culture Laboratory, University of Agricultural Sciences, GKVK, Bangalore, Karnataka, India.
Malali GowdaGenomics Laboratory, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Bangalore, Karnataka, India.
National Centre for Biological Sciences · INUniversity of Agricultural Sciences, Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neem (Azadirachta indica A. Juss) is one of the most versatile tropical evergreen tree species known in India since the Vedic period (1500 BC-600 BC). Neem tree is a rich source of limonoids, having a wide spectrum of activity against insect pests and microbial pathogens. Complex tetranortriterpenoids such as azadirachtin, salanin and nimbin are the major active principles isolated from neem seed. Absolutely nothing is known about the biochemical pathways of these metabolites in neem tree. To identify genes and pathways in neem, we sequenced neem genomes and transcriptomes using next generation sequencing technologies. Assembly of Illumina and 454 sequencing reads resulted in 267 Mb, which accounts for 70% of estimated size of neem genome. We predicted 44,495 genes in the neem genome, of which 32,278 genes were expressed in neem tissues. Neem genome consists about 32.5% (87 Mb) of repetitive DNA elements. Neem tree is phylogenetically related to citrus, Citrus sinensis. Comparative analysis anchored 62% (161 Mb) of assembled neem genomic contigs onto citrus chromomes. Ultrahigh performance liquid chromatography-mass spectrometry-selected reaction monitoring (UHPLC-MS/SRM) method was used to quantify azadirachtin, nimbin, and salanin from neem tissues. Weighted Correlation Network Analysis (WCGNA) of expressed genes and metabolites resulted in identification of possible candidate genes involved in azadirachtin biosynthesis pathway. This study provides genomic, transcriptomic and quantity of top three neem metabolites resource, which will accelerate basic research in neem to understand biochemical pathways.

Indexed as

A. indicaAnnotationAzadirachtinNext generation sequencing

Identifiers

PMID26290780
PMCPMC4540028
OpenAlexW1054422974

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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.