Evidence map›Paper›PMID 24682075›Full record

ArticlePloS one2014

High-throughput sequencing and de novo assembly of Brassica oleracea var. Capitata L. for transcriptome analysis.

Hyun A Kim, Chan Ju Lim, Sangmi Kim, Jun Kyoung Choe, Sung-Hwan Jo, Namkwon Baek, Suk-Yoon Kwon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

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  13. TGMS in Rapeseed (Frontiers in plant science · 2017
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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

7 authors at 4 institutions in 1 country.

Hyun A KimGreen Bio Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Yuseong-gu, Daejeon, Republic of Korea; Biosystems and Bioengineering Program, University of Science and Technology, Daejeon, Republic of Korea.
Chan Ju LimGreen Bio Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Yuseong-gu, Daejeon, Republic of Korea.
Sangmi KimSEEDERS, Daeduk Industry-Academic Cooperation Building, Gwanpyeong-dong Yuseong-gu, Daejeon, Republic of Korea.
Jun Kyoung ChoeSEEDERS, Daeduk Industry-Academic Cooperation Building, Gwanpyeong-dong Yuseong-gu, Daejeon, Republic of Korea.
Sung-Hwan JoSEEDERS, Daeduk Industry-Academic Cooperation Building, Gwanpyeong-dong Yuseong-gu, Daejeon, Republic of Korea.
Namkwon BaekSamsung Seed Co., Ltd., Madoo2-ri, Seotan, Pyongtaek, Kyeonggi, Republic of Korea.
Suk-Yoon KwonGreen Bio Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Yuseong-gu, Daejeon, Republic of Korea; Biosystems and Bioengineering Program, University of Science and Technology, Daejeon, Republic of Korea.
Daeduk University · KRKorea University of Science and Technology · KRKorea Research Institute of Bioscience and Biotechnology · KRSamsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cabbage, Brassica oleracea var. capitata L., has a distinguishable phenotype within the genus Brassica. Despite the economic and genetic importance of cabbage, there is little genomic data for cabbage, and most studies of Brassica are focused on other species or other B. oleracea subspecies. The lack of genomic data for cabbage, a non-model organism, hinders research on its molecular biology. Hence, the construction of reliable transcriptomic data based on high-throughput sequencing technologies is needed to enhance our understanding of cabbage and provide genomic information for future work. METHODOLOGY/PRINCIPAL

findingsWe constructed cDNAs from total RNA isolated from the roots, leaves, flowers, seedlings, and calcium-limited seedling tissues of two cabbage genotypes: 102043 and 107140. We sequenced a total of six different samples using the Illumina HiSeq platform, producing 40.5 Gbp of sequence data comprising 401,454,986 short reads. We assembled 205,046 transcripts (≥ 200 bp) using the Velvet and Oases assembler and predicted 53,562 loci from the transcripts. We annotated 35,274 of the loci with 55,916 plant peptides in the Phytozome database. The average length of the annotated loci was 1,419 bp. We confirmed the reliability of the sequencing assembly using reverse-transcriptase PCR to identify tissue-specific gene candidates among the annotated loci.

conclusionOur study provides valuable transcriptome sequence data for B. oleracea var. capitata L., offering a new resource for studying B. oleracea and closely related species. Our transcriptomic sequences will enhance the quality of gene annotation and functional analysis of the cabbage genome and serve as a material basis for future genomic research on cabbage. The sequencing data from this study can be used to develop molecular markers and to identify the extreme differences among the phenotypes of different species in the genus Brassica.

Indexed as

BrassicaComputational BiologyDatabases, GeneticDNA, ComplementaryGene Expression ProfilingGenome, PlantGenomicsHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationReproducibility of ResultsTranscriptomeDNA, Complementary

Identifiers

PMID24682075
PMCPMC3969326
OpenAlexW2140676217

What OpenQuestion holds

Textmetadata
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.