The development of next-generation sequencing technology and the increasing amount of sequencing data have brought the bioinformatic tools used in genome assembly into focus. The final step of the process is genome annotation, which works on assembled genome sequences to identify the location of genome features. In the case of organelle genomes, specialized annotation tools are used to identify organelle genes and structural features. Numerous annotation tools target chloroplast sequences. Most chloroplast DNA genomes have a quadripartite structure caused by two copies of a large inverted repeat. We investigated the strategies of six annotation tools (Chloë, Chloroplot, GeSeq, ORG.Annotate, PGA, Plann) for identifying inverted repeats and analyzed their success using publicly available complete chloroplast sequences of taxa belonging to the asterid and rosid clades. The annotation tools use two different approaches to identify inverted repeats, using existing general search tools or implementing stand-alone solutions. The chloroplast sequences studied show that there are different types of imperfections in the assembled data and that each tool performs better on some sequences than the others.

With the development of next-generation sequencing technology and bioinformatics tools, the process of assembling DNA sequences has become cheaper and easier, especially in the case of much shorter organelle genomes. The number of available DNA sequences of complete chloroplast genomes in public genetic databases is constantly increasing and the data are widely used in plant phylogenetic and biotechnological research. In this work, we investigated possible inconsistencies in the stored form of publicly available chloroplast genome sequence data. The impact of these inconsistencies on the results of the phylogenetic analysis was investigated and the bioinformatic solution to identify and correct inconsistencies was implemented. The whole procedure was demonstrated using five plant families (Apiaceae, Asteraceae, Campanulaceae, Lamiaceae and Rosaceae) as examples.

The development of bioinformatic solutions is guided by biological knowledge of the subject. In some cases, we use unambiguous biological models, while in others we rely on assumptions. A commonly used assumption for genomes is that related species have similar genome sequences. This is even more obvious in the case of chloroplast genomes due to their slow evolution. We investigated whether the lengths of complete chloroplast sequences are closely related to the taxonomic proximity of the species. The study was performed using all available RefSeq sequences from the asterid and rosid clades. In general, chloroplast length distributions are narrow at both the family and genus levels. In addition, clear biological explanations have already been reported for families and genera that exhibit particularly wide distributions. The main factors responsible for the length variations are parasitic life forms, IR loss, IR expansions and contractions, and polyphyly. However, the presence of outliers in the distribution at the genus level is a strong indication of possible inaccuracies in sequence assembly.

Dalmatian pyrethrum (Tanacetum cinerariifolium (Trevis.) Sch. Bip.) is an outcrossing plant species (2n = 18) endemic to the eastern Adriatic coast and source of the natural insecticide pyrethrin. Due to the high repeatability and large genome (1C-value = 9.58 pg) our previous attempts to develop microsatellite markers using the traditional method were unsuccessful. Now we have used Illumina paired-end whole genome sequencing and developed a specific procedure to obtain useful microsatellite markers. A total of 796,130,142 high-quality reads (approx. 12.5× coverage) were assembled into 6,909,675 contigs using two approaches (de novo assembly and joining of overlapped pair-end reads). A total of 31,380 contigs contained one or more microsatellite sequences, of which di-(59.7%) and trinucleotide (25.9%) repeats were the most abundant. Contigs containing microsatellites were filtered according to various criteria to achieve better yield of functional markers. After two rounds of testing, 17 microsatellite markers were developed and characterized in one natural population. Twelve loci were selected for preliminary genetic diversity analysis of three natural populations. Neighbor-joining tree, based on the proportion of shared alleles distances, grouped individuals into clusters according to population affiliation. The availability of codominant SSR markers will allow analysis of genetic diversity and structure of natural Dalmatian pyrethrum populations as well as identification of breeding lines and cultivars.

Simple sequence repeats (SSRs) have become one of the most popular molecular markers and are used in numerous fields, including conservation genetics, population genetic studies, and genetic mapping. Advances in next-generation sequencing technology and the growing amount of genomic data are driving the development of bioinformatics tools for SSR marker design. These tools work with different combinations of input data, which can be raw reads or assemblies, and with one or more input datasets. We present here a new strategy and implementation of a simple standalone pipeline that utilizes more than one assembly for the in silico design of PCR primers for microsatellite loci in more than one species. Primers are tested in silico to determine if they are polymorphic, eliminating the need to test time-consuming cross-species amplification in the laboratory. The end result is a set of markers that are in silico polymorphic in all analyzed species and have great potential for the identification of interspecies hybrids. The efficiency of the tool is demonstrated using two examples at different taxonomic levels and with different numbers of input assemblies to generate promising, high-quality SSR markers.

Tanacetum cinerariifolium is an endemic species of the eastern Adriatic coast that synthesizes the natural insecticide pyrethrin. We have characterized the complete chloroplast genome of the species and analyzed its phylogeny within the Asteraceae family. The complete chloroplast genome of T. cinerariifolium has a size of 150,136 bp, including a large single-copy (LSC) region of 82,717 bp, a small single-copy (SSC) region of 18,411bp, and a pair of inverted repeats (IRs) of 24,504 bp. The chloroplast genome of T. cinerariifolium encodes 108 genes, including 77 protein-coding genes (PCGs), 27 tRNA genes, and 4 rRNA genes. Phylogenetic analyses based on the complete chloroplast genomes placed T. cinerariifolium in a sister position to species of the genera Artemisia and Chrysanthemum.