Evidence map›Paper›PMID 31829136›Full record

ArticleBMC genomics2019

BaRTv1.0: an improved barley reference transcript dataset to determine accurate changes in the barley transcriptome using RNA-seq.

Paulo Rapazote-Flores, Micha Bayer, Linda Milne, Claus-Dieter Mayer, John Fuller, Wenbin Guo, Pete E Hedley, Jenny Morris, Claire Halpin, Jason Kam and 10 more

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
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  7. Genetic and physical localization of a leaf rust susceptibility gene in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  12. The Hessian fly resistance gene HvRHF1 is localized in an NBS-LRR gene cluster in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  13. Genetic and physical localization of a major susceptibility gene to Pyrenophora teres f. maculata in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  14. Article
  15. Natural variation inFrontiers in plant science · 2023
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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

20 authors.

Paulo Rapazote-FloresInformation and Computational Sciences, James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Micha BayerInformation and Computational Sciences, James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Linda MilneInformation and Computational Sciences, James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Claus-Dieter MayerBiomathematics and Statistics Scotland, Aberdeen, AB25 2ZD, UK.
John FullerCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Wenbin GuoDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
Pete E HedleyCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Jenny MorrisCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Claire HalpinDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
Jason KamDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
Sarah M McKimDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
Monika ZwirekDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
M Cristina CasaoDivision of Plant Sciences, School of Life Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.
Abdellah BarakateCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Miriam SchreiberCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Gordon StephenInformation and Computational Sciences, James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Runxuan ZhangInformation and Computational Sciences, James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
John W S BrownCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Robbie WaughCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK.
Craig G SimpsonCell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK. craig.simpson@hutton.ac.uk.ORCID http://orcid.org/0000-0002-1723-1492

Funding

BBSRC BB/G016232/1BBSRC BB/I00663X/1BBSRC BB/K01613X/1ERC 669182
6 · The paper itself

Abstract

backgroundThe time required to analyse RNA-seq data varies considerably, due to discrete steps for computational assembly, quantification of gene expression and splicing analysis. Recent fast non-alignment tools such as Kallisto and Salmon overcome these problems, but these tools require a high quality, comprehensive reference transcripts dataset (RTD), which are rarely available in plants.

resultsA high-quality, non-redundant barley gene RTD and database (Barley Reference Transcripts - BaRTv1.0) has been generated. BaRTv1.0, was constructed from a range of tissues, cultivars and abiotic treatments and transcripts assembled and aligned to the barley cv. Morex reference genome (Mascher et al. Nature; 544: 427-433, 2017). Full-length cDNAs from the barley variety Haruna nijo (Matsumoto et al. Plant Physiol; 156: 20-28, 2011) determined transcript coverage, and high-resolution RT-PCR validated alternatively spliced (AS) transcripts of 86 genes in five different organs and tissue. These methods were used as benchmarks to select an optimal barley RTD. BaRTv1.0-Quantification of Alternatively Spliced Isoforms (QUASI) was also made to overcome inaccurate quantification due to variation in 5' and 3' UTR ends of transcripts. BaRTv1.0-QUASI was used for accurate transcript quantification of RNA-seq data of five barley organs/tissues. This analysis identified 20,972 significant differentially expressed genes, 2791 differentially alternatively spliced genes and 2768 transcripts with differential transcript usage.

conclusionA high confidence barley reference transcript dataset consisting of 60,444 genes with 177,240 transcripts has been generated. Compared to current barley transcripts, BaRTv1.0 transcripts are generally longer, have less fragmentation and improved gene models that are well supported by splice junction reads. Precise transcript quantification using BaRTv1.0 allows routine analysis of gene expression and AS.

Indexed as

Alternative SplicingDatabases, GeneticExome SequencingGene Expression ProfilingGene Expression Regulation, PlantHordeumPlant ProteinsSequence Analysis, RNAPlant ProteinsBarleyDifferential alternative splicingDifferential gene expressionReference transcript datasetTranscriptome

Identifiers

PMID31829136
PMCPMC6907147

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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.