Evidence map›Paper›PMID 21929789›Full record

ArticleBMC genomics2011

Characterization of the sesame (Sesamum indicum L.) global transcriptome using Illumina paired-end sequencing and development of EST-SSR markers.

Wenliang Wei, Xiaoqiong Qi, Linhai Wang, Yanxin Zhang, Wei Hua, Donghua Li, Haixia Lv, Xiurong Zhang

Abstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

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180citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

180 citing papers in PubMed.

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  18. Validation of determinate (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  20. Tissue-specific transcriptome forPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article

120 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wenliang WeiKey Laboratory of Oil Crops Biology of the Ministry of Agriculture, Sesame Germplasm and Genetic Breeding Laboratory, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences (OCRI-CAAS), Wuhan, 430062, China.
Xiaoqiong Qi
Linhai Wang
Yanxin Zhang
Wei Hua
Donghua Li
Haixia Lv
Xiurong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSesame is an important oil crop, but limited transcriptomic and genomic data are currently available. This information is essential to clarify the fatty acid and lignan biosynthesis molecular mechanism. In addition, a shortage of sesame molecular markers limits the efficiency and accuracy of genetic breeding. High-throughput transcriptomic sequencing is essential to generate a large transcriptome sequence dataset for gene discovery and molecular marker development.

resultsSesame transcriptomes from five tissues were sequenced using Illumina paired-end sequencing technology. The cleaned raw reads were assembled into a total of 86,222 unigenes with an average length of 629 bp. Of the unigenes, 46,584 (54.03%) had significant similarity with proteins in the NCBI nonredundant protein database and Swiss-Prot database (E-value < 10-5). Of these annotated unigenes, 10,805 and 27,588 unigenes were assigned to gene ontology categories and clusters of orthologous groups, respectively. In total, 22,003 (25.52%) unigenes were mapped onto 119 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database (KEGG). Furthermore, 44,750 unigenes showed homology to 15,460 Arabidopsis genes based on BLASTx analysis against The Arabidopsis Information Resource (TAIR, Version 10) and revealed relatively high gene coverage. In total, 7,702 unigenes were converted into SSR markers (EST-SSR). Dinucleotide SSRs were the dominant repeat motif (67.07%, 5,166), followed by trinucleotide (24.89%, 1,917), tetranucleotide (4.31%, 332), hexanucleotide (2.62%, 202), and pentanucleotide (1.10%, 85) SSRs. AG/CT (46.29%) was the dominant repeat motif, followed by AC/GT (16.07%), AT/AT (10.53%), AAG/CTT (6.23%), and AGG/CCT (3.39%). Fifty EST-SSRs were randomly selected to validate amplification and to determine the degree of polymorphism in the genomic DNA pools. Forty primer pairs successfully amplified DNA fragments and detected significant amounts of polymorphism among 24 sesame accessions.

conclusionsThis study demonstrates that Illumina paired-end sequencing is a fast and cost-effective approach to gene discovery and molecular marker development in non-model organisms. Our results provide a comprehensive sequence resource for sesame research.

Indexed as

Expressed Sequence TagsGenome, PlantMicrosatellite RepeatsTranscriptomeDatabases, Nucleic AcidDNA, PlantGene LibraryGenes, PlantMetabolic Networks and PathwaysPolymorphism, GeneticSequence Analysis, DNASesamumDNA, Plant

Identifiers

PMID21929789
PMCPMC3184296

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LicenceCC BY
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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.