Evidence map›Paper›PMID 24349528›Full record

ArticlePloS one2013

Evaluation of assembly strategies using RNA-seq data associated with grain development of wheat (Triticum aestivum L.).

Huai-Zhu Li, Xiang Gao, Xiao-Yan Li, Qi-Jiao Chen, Jian Dong, Wan-Chun Zhao

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Huai-Zhu LiDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China.
Xiang GaoDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China ; Wheat Engineering Research Center of Shaanxi Province, Yangling, Shaanxi Province, People's Republic of China.
Xiao-Yan LiDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China ; Wheat Engineering Research Center of Shaanxi Province, Yangling, Shaanxi Province, People's Republic of China.
Qi-Jiao ChenDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China ; Wheat Engineering Research Center of Shaanxi Province, Yangling, Shaanxi Province, People's Republic of China.
Jian DongDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China ; Wheat Engineering Research Center of Shaanxi Province, Yangling, Shaanxi Province, People's Republic of China.
Wan-Chun ZhaoDepartment of Seed Science, College of Agronomy, Northwest A&F University, Yangling, Shaanxi Province, People's Republic of China ; Wheat Engineering Research Center of Shaanxi Province, Yangling, Shaanxi Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat (Triticum aestivum L.) is one of the most important crops cultivated worldwide. Identifying the complete transcriptome of wheat grain could serve as foundation for further study of wheat seed development. However, the relatively large size and the polyploid complexity of the genome have been substantial barriers to molecular genetics and transcriptome analysis of wheat. Alternatively, RNA sequencing has provided some useful information about wheat genes. However, because of the large number of short reads generated by RNA sequencing, factors that are crucial to transcriptome assembly, including software, candidate parameters and assembly strategies, need to be optimized and evaluated for wheat data. In the present study, four cDNA libraries associated with wheat grain development were constructed and sequenced. A total of 14.17 Gb of high-quality reads were obtained and used to assess different assembly strategies. The most successful approach was to filter the reads with Q30 prior to de novo assembly using Trinity, merge the assembled contigs with genes available in wheat cDNA reference data sets, and combine the resulting assembly with an assembly from a reference-based strategy. Using this approach, a relatively accurate and nearly complete transcriptome associated with wheat grain development was obtained, suggesting that this is an effective strategy for generation of a high-quality transcriptome from RNA sequencing data.

Indexed as

Genome, PlantSequence Analysis, RNASoftwareRNA, PlantTriticumRNA, Plant

Identifiers

PMID24349528
PMCPMC3861526

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.