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The Oryza officinalis complex is the largest species group in Oryza , with more than nine species from four continents, and is a tertiary gene pool that can be exploited in breeding programs for the improvement of cultivated rice. Most diploid and tetraploid members of this group have a C genome. Using a new reference C genome for the diploid species O. officinalis , and draft genomes for two other C genome diploid species Oryza eichingeri and Oryza rhizomatis , we examine the influence of transposable elements on genome structure and provide a detailed phylogeny and evolutionary history of the Oryza C genomes. The O. officinalis genome is 1.6 times larger than the A genome of cultivated Oryza sativa , mostly due to proliferation of Gypsy type long-terminal repeat transposable elements, but overall syntenic relationships are maintained with other Oryza genomes (A, B, and F). Draft genome assemblies of the two other C genome diploid species, Oryza eichingeri and Oryza rhizomatis , and short-read resequencing of a series of other C genome species and accessions reveal that after the divergence of the C genome progenitor, there was still a substantial degree of variation within the C genome species through proliferation and loss of both DNA and long-terminal repeat transposable elements. We provide a detailed phylogeny and evolutionary history of the Oryza C genomes and a genomic resource for the exploitation of the Oryza tertiary gene pool. [ABSTRACT FROM AUTHOR]

Todo-matsu (Abies sachalinensis) is one of the most important forestry species in Hokkaido, Japan and is distributed from near sea level to the alpine zone. Due to its wide spatial distribution, the species adapts to its environment, displaying phenotypes of ecological relevance. In order to identify candidate genes under natural selection, we collected the transcriptome from the female and male flower, leaf and inner bark. De novo assembly with 34.7 Gb of sequencing reads produced 158,542 transcripts from 69,618 loci, whose estimated coverage reached 95.6% of conserved eukaryotic genes. Homology searches against publicly available databases identified 134,190 (84.6%) transcripts with at least one hit. In total, 28,944 simple sequence repeats (SSRs) and 80,758 single nucleotide variants (SNVs) were detected from 23,570 (14.9%) and 25,366 (16.0%) transcripts, which were valuable for use in genetic analysis of the species. All the annotations were included in a relational database, TodoFirGene, which provides an interface for various queries and homology search, and can be accessed at http://plantomics.mind.meiji.ac.jp/todomatsu/. This database hosts not only the A. sachalinensis transcriptome but also links to the proteomes of 13 other species, allowing a comparative genomic study of plant species. [ABSTRACT FROM AUTHOR]

Comprehensive integration of large-scale omics resources such as genomes, transcriptomes and metabolomes will provide deeper insights into broader aspects of molecular biology. For better understanding of plant biology, we aim to construct a next-generation sequencing (NGS)-derived gene expression network (GEN) repository for a broad range of plant species. So far we have incorporated information about 745 high-quality mRNA sequencing (mRNA-Seq) samples from eight plant species (Arabidopsis thaliana, Oryza sativa, Solanum lycopersicum, Sorghum bicolor, Vitis vinifera, Solanum tuberosum, Medicago truncatula and Glycine max) from the public short read archive, digitally profiled the entire set of gene expression profiles, and drawn GENs by using correspondence analysis (CA) to take advantage of gene expression similarities. In order to understand the evolutionary significance of the GENs from multiple species, they were linked according to the orthology of each node (gene) among species. In addition to other gene expression information, functional annotation of the genes will facilitate biological comprehension. Currently we are improving the given gene annotations with natural language processing (NLP) techniques and manual curation. Here we introduce the current status of our analyses and the web database, PODC (Plant Omics Data Center; http://bioinf.mind.meiji.ac.jp/podc/), now open to the public, providing GENs, functional annotations and additional comprehensive omics resources. [ABSTRACT FROM AUTHOR]