Evidence map›Paper›PMID 26474753›Full record

ArticleBMC genomics2015

Transcriptome sequencing, annotation and polymorphism detection in the hop bush, Dodonaea viscosa.

Matthew J Christmas, Ed Biffin, Andrew J Lowe

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In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Transcriptome sequencing andJournal of genetics · 2019
    Article
  7. Article
  8. Article
  9. Article
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

3 authors.

Matthew J ChristmasEnvironment Institute and School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide, 5005, SA, Australia. matthew.christmas@adelaide.edu.au.
Ed BiffinEnvironment Institute and School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide, 5005, SA, Australia. ed.biffin@adelaide.edu.au.
Andrew J LoweEnvironment Institute and School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide, 5005, SA, Australia. andrew.lowe@adelaide.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hop bush, Dodonaea viscosa, is a trans-oceanic species distributed oversix continents. It evolved in Australia where it is found over a wide range of habitat types and is an ecologically important species. Limited genomic resources are currently available for this species, thus our understanding of its evolutionary history and ecological adaptation is restricted. Here, we present a comprehensive transcriptome dataset for future genomic studies into this species.

methodsWe performed Illumina sequencing of cDNA prepared from leaf tissue collected from seven populations of D. viscosa ssp. angustissima and spatulata distributed along an environmental gradient in South Australia. Sequenced reads were assembled to provide a transcriptome resource. Contiguous sequences (contigs) were annotated using BLAST searches against the NCBI non-redundant database and gene ontology definitions were assigned. Single nucleotide polymorphisms were detected for the establishment of a genetic marker set. A comparison between the two subspecies was also carried out.

resultsIllumina sequencing returned 268,672,818 sequence reads, which were de novoassembled into 105,125 contigs. Contigs with significant BLAST alignments (E value < 1e(-5))numbered at 44,191, with 38,311 of these having their most significant hits to sequences from land plant species. Gene Ontology terms were assigned to 28,440 contigs and KEGG analysis identified 146 pathways that the gene products from 5,070 contigs are potentially involved in. The subspecies comparison identified 8,494 fixed SNP differences across 3,979 contiguous sequences, indicating a level of genetic differentiation between them. Across all samples, 248,235 SNPs were detected.

conclusionsWe have established a significant genomic data resource for D. viscosa,providing a comprehensive transcriptomic reference. Genetic differences among morphologically distinct subspecies were found. A wide range of putative gene regions were identified along with a large set of variable SNP markers, providing a basis for studies into the evolution and ecological adaptation of D. viscosa.

Indexed as

Genome, PlantMolecular Sequence AnnotationAdaptation, PhysiologicalAustraliaGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGenomicsPolymorphism, Single NucleotideSapindaceaeTranscriptome

Identifiers

PMID26474753
PMCPMC4609105

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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.