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An ethnobotanical survey was carried out in the Knin area (northern Dalmatia, Croatia) with the aim of recording traditional plant use by the local (native) people and contributing to the knowledge of plant biodiversity in the investigated area. Ethnobotanical data were collected by interviewing 40 local people at 17 locations. Data on 123 plant taxa (on average 21 taxa per interview) and 122 unique medicinal and 18 food uses in the local community were recorded. Prevalent medicinal uses of the recorded taxa were the treatment of digestive, respiratory, cardiovascular disorders, and injuries. The most commonly used plant parts gathered were leaves (35%) and flowers (20%). The most commonly collected plants in the investigated area were: <em>Urtica dioica</em>, <em>Thymus longicaulis</em>, <em>Sambucus nigra</em>, and <em>Hypericum perforatum</em>.

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Saprolegnia parasitica causes saprolegniosis, a disease responsible for significant economic losses in aquaculture and declines of fish populations in the wild, but the knowledge of its distribution and prevalence in the environment is limited. We developed a fast, sensitive and specific S. parasitica droplet digital PCR (ddPCR) assay and demonstrated its applicability for the detection and quantification of the pathogen in environmental samples: swab DNA collected from the host (trout skin, surface of eggs) and environmental DNA extracted from water. The developed assay was used to assess how abiotic (i.e. physico-chemical parameters of the water) and biotic (health status of the host) factors influence the S. parasitica load in the environment. The pathogen load in water samples was positively correlated with some site-specific abiotic parameters such as electrical conductivity (EC) and calcium, while fluorides were negatively correlated, suggesting that physico-chemical parameters are important for determining S. parasitica load in natural waters. Furthermore, skin swabs of injured trout had significantly higher pathogen load than swabs collected from healthy fish, confirming that S. parasitica is a widespread opportunistic pathogen. Our results provide new insights into various environmental factors that influence the distribution and abundance of S. parasitica.

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.

Pyrethrin is a specialized metabolite of Dalmatian pyrethrum (Tanacetum cinerariifolium (Trevir.) Sch. Bip.), Asteraceae, known worldwide as an effective bioinsecticide. It consists of six active compounds: Pyrethrin I and II, cinerin I and II, and jasmolin I and II. Pyrethrin accumulates mainly in the flower heads and its content depends on numerous factors, such as the flower developmental stage. This study aims to investigate the accumulation patterns of six pyrethrin compounds in the flower heads of Dalmatian pyrethrum over the eight developmental stages (FS1 to FS8), and to make a comparison in six natural populations. Ultrasound assisted extraction was used to extract the pyrethrin, while qualitative and quantitative analysis was performed by High performance liquid chromatography. The accumulation patterns of different pyrethrin compounds were generally similar and also synchronous between different populations, while the pyrethrin I/pyrethrin II ratio showed irregular patterns. In all populations studied, the highest increase of all compounds was observed from FS1 to FS2. Their concentration continuously increased, reaching the highest values at FS4 stage (2–5 rows of open disc flowers), and generally decreased gradually towards FS6 or FS7 and then stagnated until the FS8 stage. Despite the very similar accumulation pattern of pyrethrin compounds in the different populations, the significant differences in their content suggest a different genetic background. Knowledge of the dynamics of pyrethrin compounds accumulation across flower development stages is valuable for determining the optimal harvest time of pyrethrum flower heads.