Evidence map›Paper›PMID 24456189›Full record

ArticleBMC plant biology2014

A Sorghum bicolor expression atlas reveals dynamic genotype-specific expression profiles for vegetative tissues of grain, sweet and bioenergy sorghums.

Nadia Shakoor, Ramesh Nair, Oswald Crasta, Geoffrey Morris, Alex Feltus, Stephen Kresovich

Open access · goldAbstract read
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Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

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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

40 citing papers in PubMed, 86 citations in OpenAlex.

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  5. Accumulation Potential Cadmium and Lead by Sunflower (International journal of environmental research and public health · 2023
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  10. Sorghum breeding in the genomic era: opportunities and challenges.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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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

6 authors at 2 institutions in 1 country.

Nadia Shakoor
Ramesh Nair
Oswald Crasta
Geoffrey Morris
Alex Feltus
Stephen KresovichDepartment of Biological Sciences, The University of South Carolina, 715 Sumter Street, Columbia, SC 29208, USA. skresov@clemson.edu.
Clemson University · USUniversity of South Carolina Sumter · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective improvement in sorghum crop development necessitates a genomics-based approach to identify functional genes and QTLs. Sequenced in 2009, a comprehensive annotation of the sorghum genome and the development of functional genomics resources is key to enable the discovery and deployment of regulatory and metabolic genes and gene networks for crop improvement.

resultsThis study utilizes the first commercially available whole-transcriptome sorghum microarray (Sorgh-WTa520972F) to identify tissue and genotype-specific expression patterns for all identified Sorghum bicolor exons and UTRs. The genechip contains 1,026,373 probes covering 149,182 exons (27,577 genes) across the Sorghum bicolor nuclear, chloroplast, and mitochondrial genomes. Specific probesets were also included for putative non-coding RNAs that may play a role in gene regulation (e.g., microRNAs), and confirmed functional small RNAs in related species (maize and sugarcane) were also included in our array design. We generated expression data for 78 samples with a combination of four different tissue types (shoot, root, leaf and stem), two dissected stem tissues (pith and rind) and six diverse genotypes, which included 6 public sorghum lines (R159, Atlas, Fremont, PI152611, AR2400 and PI455230) representing grain, sweet, forage, and high biomass ideotypes.

conclusionsHere we present a summary of the microarray dataset, including analysis of tissue-specific gene expression profiles and associated expression profiles of relevant metabolic pathways. With an aim to enable identification and functional characterization of genes in sorghum, this expression atlas presents a new and valuable resource to the research community.

Indexed as

Gene Expression Regulation, PlantGenome, PlantGenotypeOligonucleotide Array Sequence AnalysisSorghumTranscriptome

Identifiers

PMID24456189
PMCPMC3925131
OpenAlexW2156846360

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LicenceCC BY
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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.