Evidence map›Paper›PMID 30646861›Full record

ArticleBMC plant biology2019

Transcriptomic signature reveals mechanism of flower bud distortion in witches'-broom disease of soybean (Glycine max).

Sarika Jaiswal, Pravin V Jadhav, Rahul Singh Jasrotia, Prashant B Kale, Snehal K Kad, Mangesh P Moharil, Mahendra S Dudhare, Jashminkumar Kheni, Amit G Deshmukh, Shyamsundar S Mane and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 30 citations in OpenAlex.

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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

18 authors at 5 institutions in 1 country.

Sarika JaiswalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Pravin V JadhavPost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India. jpraveen26@yahoo.co.in.
Rahul Singh JasrotiaCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Prashant B KaleNational Research Centre on Plant Biotechnology, LBS Centre, PUSA Campus, New Delhi, 110012, India.
Snehal K KadPost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Mangesh P MoharilPost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Mahendra S DudharePost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Jashminkumar KheniDepartment of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India.
Amit G DeshmukhPost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Shyamsundar S ManePost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Ravindra S NandanwarPost Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, 444104, India.
Suprasanna PennaNuclear Agriculture and Biotechnology Division, Homi Bhabha National Institute, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400 085, India.
Joy G ManjayaNuclear Agriculture and Biotechnology Division, Homi Bhabha National Institute, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400 085, India.
Mir Asif IquebalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Rukam Singh TomarDepartment of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India.
Prashant G KawarICAR- Directorate of Floricultural Research, College of Agriculture, Pune, Maharashtra, 411 005, India.
Anil RaiCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Dinesh KumarCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India. dinesh.kumar@icar.gov.in.ORCID http://orcid.org/0000-0001-5466-0686
Dr Panjabrao Deshmukh Krishi Vidyapeeth · INIndian Agricultural Statistics Research Institute · INBhabha Atomic Research Centre · INJunagadh Agricultural University · INNational Research Centre on Plant Biotechnology · IN

Funding

Department of Atomic Energy, Government of India grant no. 2013/37B/44/BRNS/1904Indian Council of Agricultural Research (IN) CABin grant (F. no. Agril. Edn.4-1/2013-A&P)
6 · The paper itself

Abstract

backgroundSoybean (Glycine max L. Merril) crop is major source of edible oil and protein for human and animals besides its various industrial uses including biofuels. Phytoplasma induced floral bud distortion syndrome (FBD), also known as witches' broom syndrome (WBS) has been one of the major biotic stresses adversely affecting its productivity. Transcriptomic approach can be used for knowledge discovery of this disease manifestation by morpho-physiological key pathways.

resultsWe report transcriptomic study using Illumina HiSeq NGS data of FBD in soybean, revealing 17,454 differentially expressed genes, 5561 transcription factors, 139 pathways and 176,029 genic region putative markers single sequence repeats, single nucleotide polymorphism and Insertion Deletion. Roles of PmbA, Zn-dependent protease, SAP family and auxin responsive system are described revealing mechanism of flower bud distortion having abnormalities in pollen, stigma development. Validation of 10 randomly selected genes was done by qPCR. Our findings describe the basic mechanism of FBD disease, right from sensing of phytoplasma infection by host plant triggering molecular signalling leading to mobilization of carbohydrate and protein, phyllody, abnormal pollen development, improved colonization of insect in host plants to spread the disease. Study reveals how phytoplasma hijacks metabolic machinery of soybean manifesting FBD.

conclusionsThis is the first report of transcriptomic signature of FBD or WBS disease of soybean revealing morphological and metabolic changes which attracts insect for spread of disease. All the genic region putative markers may be used as genomic resource for variety improvement and new agro-chemical development for disease control to enhance soybean productivity.

Indexed as

Glycine maxPlant DiseasesPlant ProteinsTranscriptomePlant ProteinsAssemblyDifferential expressionSoybeanTranscriptomeWitches’ broom

Identifiers

PMID30646861
PMCPMC6332543
OpenAlexW2909688511

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LicenceCC BY
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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.