Abstract

BackgroundTo develop a set of transcriptome sequences to support research on environmental stress responses in green ash (Fraxinus pennsylvanica), we undertook deep RNA sequencing of green ash tissues under various stress treatments. The treatments, including emerald ash borer (EAB) feeding, heat, drought, cold and ozone, were selected to mimic the increasing threats of climate change and invasive pests faced by green ash across its native habitat.ResultsWe report the generation and assembly of RNA sequences from 55 green ash samples into 107,611 putative unique transcripts (PUTs). 52,899 open reading frames were identified. Functional annotation of the PUTs by comparison to the Uniprot protein database identified matches for 63 % of transcripts and for 98 % of transcripts with ORFs. Further functional annotation identified conserved protein domains and assigned gene ontology terms to the PUTs. Examination of transcript expression across different RNA libraries revealed that expression patterns clustered based on tissues regardless of stress treatment. The transcripts from stress treatments were further examined to identify differential expression. Tens to hundreds of differentially expressed PUTs were identified for each stress treatment. A set of 109 PUTs were found to be consistently up or down regulated across three or more different stress treatments, representing basal stress response candidate genes in green ash. In addition, 1956 simple sequence repeats were identified in the PUTs, of which we identified 465 high quality DNA markers and designed flanking PCR primers.ConclusionsNorth American native ash trees have suffered extensive mortality due to EAB infestation, creating a need to breed or select for resistant green ash genotypes. Stress from climate change is an additional concern for longevity of native ash populations. The use of genomics could accelerate management efforts. The green ash transcriptome we have developed provides important sequence information, genetic markers and stress-response candidate genes.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-3052-0) contains supplementary material, which is available to authorized users.

Highlights

  • To develop a set of transcriptome sequences to support research on environmental stress responses in green ash (Fraxinus pennsylvanica), we undertook deep RNA sequencing of green ash tissues under various stress treatments

  • Transcriptome sequencing and de novo assembly Transcriptome sequencing of 55 green ash RNA samples spanning a variety of tissues and treatments yielded over 99 Gb of sequence data

  • This may indicate that lack of a captured start or stop codon impeded open reading frames (ORFs) identification or that the reads originated from noncoding RNAs

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Summary

Introduction

To develop a set of transcriptome sequences to support research on environmental stress responses in green ash (Fraxinus pennsylvanica), we undertook deep RNA sequencing of green ash tissues under various stress treatments. Green ash (Fraxinus pennsylvanica Marsh.) is the most widely distributed species in the Fraxinus genus in North America. Green ash produces a large number of seeds, an important source of food for a diverse array of wildlife species [1]. It has been widely planted as a street. EAB has killed millions of ash trees in Michigan, Ohio and Indiana, and is spreading rapidly across North America [5]. Economic and ecological damage is expected to occur as the pest spreads [6,7,8] with estimates of costs due to lost tree value, removal and replacement ranging from $10.7 billion to $26.0 billion [9, 10]

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