Evidence map›Paper›PMID 32655308›Full record

ArticleCurrent genomics2020

Phylogenomic Analysis of R2R3 MYB Transcription Factors in Sorghum and their Role in Conditioning Biofuel Syndrome.

Vinay Singh, Neeraj Kumar, Anuj K Dwivedi, Rita Sharma, Manoj K Sharma

Open access · greenAbstract read
In one paragraph

Article in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 11 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

5 authors at 1 institution in 1 country.

Vinay Singh1Crop Genetics & Informatics Group, School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India; 2Crop Genetics & Informatics Group, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India.
Neeraj Kumar1Crop Genetics & Informatics Group, School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India; 2Crop Genetics & Informatics Group, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India.
Anuj K Dwivedi1Crop Genetics & Informatics Group, School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India; 2Crop Genetics & Informatics Group, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India.
Rita Sharma1Crop Genetics & Informatics Group, School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India; 2Crop Genetics & Informatics Group, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India.
Manoj K Sharma1Crop Genetics & Informatics Group, School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India; 2Crop Genetics & Informatics Group, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi-110067, India.
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge scale cultivation of sorghum for food, feed, and biofuel requires concerted efforts for engineering multipurpose cultivars with optimised agronomic traits. Due to their vital role in regulating the biosynthesis of phenylpropanoid-derived compounds, biomass composition, biotic, and abiotic stress response, R2R3-MYB family transcription factors are ideal targets for improving environmental resilience and economic value of sorghum.

methodsWe used diverse computational biology tools to survey the sorghum genome to identify R2R3-MYB transcription factors followed by their structural and phylogenomic analysis. We used in-house generated as well as publicly available high throughput expression data to analyse the R2R3 expression patterns in various sorghum tissue types.

resultsWe have identified a total of 134 R2R3-MYB genes from sorghum and developed a framework to predict gene functions. Collating information from the physical location, duplication, structural analysis, orthologous sequences, phylogeny, and expression patterns revealed the role of duplications in clade-wise expansion of the R2R3-MYB family as well as intra-clade functional diversification. Using publicly available and in-house generated RNA sequencing data, we provide MYB candidates for conditioning biofuel syndrome by engineering phenylpropanoid biosynthesis and sugar signalling pathways in sorghum.

conclusionThe results presented here are pivotal to prioritize MYB genes for functional validation and optimize agronomic traits in sorghum.

Indexed as

BiofuelphenylpropanoidsR2R3-MYBsorghumstresstranscription factors

Identifiers

PMID32655308
PMCPMC7324873
OpenAlexW3013990851

What OpenQuestion holds

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LicenceCC BY-NC
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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.