An Exploration into Fern Genome Space

Ferns are one of the few remaining major clades of land plants for which a complete genome sequence is lacking. Knowledge of genome space in ferns will enable broad-­‐scale comparative analyses of land plant genes and genomes, provide insights into genome evolution across green plants, and shed light on genetic and genomic features that characterize ferns, such as their high chromosome numbers and large genome sizes. As part of an initial exploration into fern genome space, we used a whole genome shotgun sequencing approach to obtain low-­‐density coverage (~0.4X to 2X) for six fern species from the Polypodiales (Ceratopteris, Pteridium, Polypodium, Cystopteris), Cyatheales (Plagiogyria), and Gleicheniales (Dipteris). We explore these data to characterize the proportion of the nuclear genome represented by repetitive sequences (including DNA transposons, retrotransposons, rDNA, and simple repeats) and protein-­‐coding genes, and to extract chloroplast and mitochondrial genome sequences. Such initial sweeps of fern genomes can provide information useful for selecting a promising candidate fern species for whole genome sequencing. We also describe variation of genomic traits across our sample and highlight some differences and similarities in repeat structure between ferns and seed plants

IDENTIFICATION AND CHARACTERIZATION OF HUMAN METABOLITES OF CAl [5-AMINO-I -1 (4'-CHLOROBENZOYL-3,5-DICHLOROBENZYL)-1 ,2,3-TRIAZOLE- 4-CARBOXAMIDE)

ABSTRACT: The calcium Influx inhibitor and cytostatic agent, 5-amlno-1-1(4'

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Compressed Cleaned Reads

Genome sequence data for six fern species, Illumina reads (in fastq format) with adapters removed using catadapt and quality trimmed using sickle. Files compressed using bzip2.https://digitalcommons.usu.edu/fern_genome/1002/thumbnail.jp

An Exploration of Fern Genome Space

Ferns are one of the few remaining major clades of land plants for which a complete genome sequence is lacking. Knowledge of genome space in ferns will enable broad-scale comparative analyses of land plant genes and genomes, provide insights into genome evolution across green plants, and shed light on genetic and genomic features that characterize ferns, such as their high chromosome numbers and large genome sizes. As part of an initial exploration into fern genome space, we used a whole genome shotgun sequencing approach to obtain low-density coverage (1X to 2X) for six fern species from the Polypodiales (Ceratopteris, Pteridium, Polypodium, Cystopteris), Cyatheales (Plagiogyria), and Gleicheniales (Dipteris). We explore these data to characterize the proportion of the nuclear genome represented by protein-coding genes and repetitive sequences (including transposons, rDNA, and satellite elements), as well as to extract chloroplast and mitochondrial genome sequences. Such initial sweeps of fern genomes can provide information useful for selecting a promising candidate fern species for whole genome sequencing.https://digitalcommons.usu.edu/fern_genome/1000/thumbnail.jp

CLC Assemblies

Fern genome sequence data for six species, assembled using CLC Assembly Cell (v4.2.1). Details of assemblies provided in seq_stats.txt.https://digitalcommons.usu.edu/fern_genome/1001/thumbnail.jp

Fern Mitochondrial Gene Analysis

Contigs containing putative mitochondrial genes for each of six fern species. Details for building the initial list of core mitochondrial genes provided in core_mito_gene_notebook.zip (an ipython notebook).https://digitalcommons.usu.edu/fern_genome/1005/thumbnail.jp

Raw Reads

Original (unprocessed) paired-end Illumina Reads for genomic data from six fern species, compressed using gzip.https://digitalcommons.usu.edu/fern_genome/1004/thumbnail.jp