RNA-seq analysis of Quercus pubescens Leaves: de novo transcriptome assembly, annotation and functional markers development.
Quercus pubescens Willd., a species distributed from Spain to southwest Asia, ranks high for drought tolerance among European oaks. Q. pubescens performs a role of outstanding significance in most Mediterranean forest ecosystems, but few mechanistic studies have been conducted to explore its response to environmental constrains, due to the lack of genomic resources. In our study, we performed a deep transcriptomic sequencing in Q. pubescens leaves, including de novo assembly, functional annotation and the identification of new molecular markers. Our results are a pre-requisite for undertaking molecular functional studies, and may give support in population and association genetic studies. 254,265,700 clean reads were generated by the Illumina HiSeq 2000 platform, with an average length of 98 bp. De novo assembly, using CLC Genomics, produced 96,006 contigs, having a mean length of 618 bp. Sequence similarity analyses against seven public databases (Uniprot, NR, RefSeq and KOGs at NCBI, Pfam, InterPro and KEGG) resulted in 83,065 transcripts annotated with gene descriptions, conserved protein domains, or gene ontology terms. These annotations and local BLAST allowed identify genes specifically associated with mechanisms of drought avoidance. Finally, 14,202 microsatellite markers and 18,425 single nucleotide polymorphisms (SNPs) were, in silico, discovered in assembled and annotated sequences. We completed a successful global analysis of the Q. pubescens leaf transcriptome using RNA-seq. The assembled and annotated sequences together with newly discovered molecular markers provide genomic information for functional genomic studies in Q. pubescens, with special emphasis to response mechanisms to severe constrain of the Mediterranean climate. Our tools enable comparative genomics studies on other Quercus species taking advantage of large intra-specific ecophysiological differences.
Institute for Plant Protection, Department of Biology, Agricultural and Food Sciences, The National Research Council of Italy (CNR), Sesto Fiorentino, Italy.
Sara
S
Torre
Institute for Plant Protection, Department of Biology, Agricultural and Food Sciences, The National Research Council of Italy (CNR), Sesto Fiorentino, Italy.
Massimiliano
M
Tattini
Institute for Plant Protection, Department of Biology, Agricultural and Food Sciences, The National Research Council of Italy (CNR), Sesto Fiorentino, Italy; Department of Agri-Food and Environmental Sciences, University of Florence, Sesto Fiorentino, Italy.
Cecilia
C
Brunetti
Institute for Plant Protection, Department of Biology, Agricultural and Food Sciences, The National Research Council of Italy (CNR), Sesto Fiorentino, Italy.
Silvia
S
Fineschi
Department of Agri-Food and Environmental Sciences, University of Florence, Sesto Fiorentino, Italy.
Alessio
A
Fini
Department of Agri-Food and Environmental Sciences, University of Florence, Sesto Fiorentino, Italy.
Francesco
F
Ferrini
Institute for Biosciences and BioResources, Department of Biology, Agricultural and Food Sciences, The National Research Council of Italy (CNR), Sesto Fiorentino, Italy.
Federico
F
Sebastiani
D019295:Computational Biology; D020451:Contig Mapping; D030541:Databases, Genetic; D055864:Droughts; D017753:Ecosystem; D020224:Expressed Sequence Tags; D065928:Forests; D005819:Genetic Markers; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing; D019083:Mediterranean Region; D058977:Molecular Sequence Annotation; D018515:Plant Leaves / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D029963:Quercus / Q000235:genetics*; D018749:RNA, Plant / Q000235:genetics*; D017423:Sequence Analysis, RNA; D059467:Transcriptome
D005819:Genetic Markers; D018749:RNA, Plant