Massive Analysis of cDNA Ends (MACE) for transcript-based marker design in pea (Pisum sativum L.)

Aimed at gene-based markers design, we generated and analyzed transcriptome sequencing datasets for six pea (Pisum sativum L.) genetic lines that have not previously been massively genotyped. Five cDNA libraries obtained from nodules or nodulated roots of genetic lines Finale, Frisson, Sparkle, Spri...

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Bibliographic Details
Main Authors: Aleksandr Zhernakov, Björn Rotter, Peter Winter, Alexey Borisov, Igor Tikhonovich, Vladimir Zhukov
Format: Article
Language:English
Published: Elsevier 2017-03-01
Series:Genomics Data
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Online Access:http://www.sciencedirect.com/science/article/pii/S2213596016301829
Description
Summary:Aimed at gene-based markers design, we generated and analyzed transcriptome sequencing datasets for six pea (Pisum sativum L.) genetic lines that have not previously been massively genotyped. Five cDNA libraries obtained from nodules or nodulated roots of genetic lines Finale, Frisson, Sparkle, Sprint-2 and NGB1238 were sequenced using a versatile 3′-RNA-seq protocol called MACE (Massive Analysis of cDNA Ends). MACE delivers a single next-generation sequence from the 3′-end of each individual cDNA molecule that precisely quantifies the respective transcripts. Since the contig generated from the 3′-end of the cDNA by assembling all sequences encompasses the highly polymorphic 3′-untranslated region (3′-UTR), MACE efficiently detects single nucleotide variants (SNVs). Mapping MACE reads to the reference nodule transcriptome assembly of the pea line SGE (Transcriptome Shotgun Assembly GDTM00000000.1) resulted in characterization of over 34,000 polymorphic sites in more than 9700 contigs. Several of these SNVs were located within recognition sequences of restriction endonucleases which allowed the design of co-dominant CAPS markers for the particular transcript. Cleaned reads of sequenced libraries are available from European Nucleotide Archive (http://www.ebi.ac.uk/) under accessions PRJEB18101, PRJEB18102, PRJEB18103, PRJEB18104, PRJEB17691.
ISSN:2213-5960