Solidago canadensis L. (Canadian goldenrod) is a widely distributed invasive herb from the Asteraceae family. It contains compounds that can change the soil structure and its nutritional components and thus affect indigenous species’ growth, germination, and survival. Consequently, it can pose a major ecological threat to biodiversity. On the other hand, many studies show that this species, due to its chemical properties, can be used for many positive purposes in pharmacy, agriculture, medicine, cosmetic industry, etc. S. canadensis contains a diverse array of bioactive compounds that may be responsible for antioxidant, antimicrobial, and anticancer activities. Many studies have discussed the invasiveness of S. canadensis, and several chemical and genetic differences between this plant in native and introduced environments have been discovered. Previous ecological and environmental evaluations of the potential of S. canadensis as an ecosystem services provider have come out with four promising groups of its products: active extracts, essential oil, fuel, and others. Although identified, there is a need for detailed validation and prioritisation of ecosystem services. This article aims to overview the S. canadensis invasive features, emphasising chemical characterisation and its potential for providing ecosystem services. Moreover, it identifies scenarios and proposes a methodology for estimating S. canadensis use in bioeconomy.

Gut microbes encode a variety of systems for molecular sensing and controlling conditional gene expression within the mammalian gut. Synthetic biology approaches such as whole-cell biosensing and 'sense-and-respond' therapeutics aim to tap into this vast sensing repertoire to drive clinical and pre-clinical applications. An ongoing constraint is the limited number of well-characterized inducible circuit components to specifically sense in vivo conditions of interest, such as disease. Here, we extend the flexibility and power of a biosensor screening platform using bacterial memory circuits encoded in a gut commensal E. coli. We construct libraries driven by potential sensory components derived from a combination of E. coli promoters or bacterial two-component systems (TCSs) sourced from diverse gut bacteria. Each is tagged with unique DNA barcodes using a pooled construction method. Using our pipeline, we evaluate sensor activity and performance heterogeneity across in vitro and in vivo conditions including using a mouse inflammation model. We demonstrate the method's ability to identify biosensors of interest, including the identification of unannotated TCSs. Following the optimisation of library construction, analysis, and delivery to account for the challenges of working with engineered bacteria within a conventional mammalian gut microbiome, we identify and validate several further biosensors of interest responding to the murine gut environment, and specifically during inflammatory conditions. This approach can be applied to transcriptionally activated sensing elements of any type and will allow for rapid development of new biosensors that can advance synthetic biology approaches for complex environments.

Background and Purpose: Ailanthus altissima (Mill.) Swingle (Tree of Heaven) is a highly invasive, widespread, and widely investigated plant species native to the broader area of China. Extrafloral nectaries are major components of the A. altissima secretory system, but the knowledge of their morphology and role in the tree's physiology is limited. This research aims to explore the morphology of extrafloral nectaries, compare it to previous findings, and discuss their possible role and function. Materials and Methods: Extrafloral nectaries on leaves have been monitored through different phases of leaf development, from June to August 2015 and 2022. The nectaries' morphology was investigated using Zeiss Axioscope 5 and BOECO BSZ-405 light microscopes, and FEG QUANTA 250 FEI scanning electron microscope, operating at 7 kV and pressure of 60–100 Pa, without samples pretreatment. Results: Our investigation revealed the absence of earlier reported pores or ducts on the top of the glands. However, it supports one of the first, systematical investigations of A. altissima extrafloral nectaries conducted in Croatia a century ago, which was until recently forgotten by history. We evaluated our findings against prior theories and assessed the nectaries' potential role and purpose in disposing surplus sugars. Conclusions: The nectar in A. altissima is not secreted via an opening on the leaves but rather through epidermal tissue tearing.

This study examines genetic diversity and structure of a Croatian garlic germplasm collection using 13 simple sequence repeat (SSR) markers. A total of 71 alleles were observed across 64 accessions representing 3 Croatian regions (Istria, Dalmatia and continental Croatia) and 16 foreign landraces, with an average of 5.46 alleles per locus. Among the 80 accessions analysed, 61 distinct multilocus genotypes (MLG) were identified, of which 51 represented unique genotypes and the remaining accessions were divided into 10 MLG groups, comprising potential duplicates or redundant genotypes. Model-based Bayesian and hierarchical UPGMA clustering approaches revealed five major groups within the collection which partially correlated with geographical origin. The analysis of molecular variance (AMOVA) showed that the majority (87.71%) of the total molecular diversity is within the Croatian groups of accessions, even though a significant share (12.29%) of diversity derived from genetic diversity among groups. These results support regional structuring, as well as the existence of significant diversity within local populations. This study is the first comprehensive report on an extensive evaluation of genetic resources of garlic maintained by Croatia with the aim of setting the course for future preservation strategies with particular emphasis on the value of diversity in the context of climate change both on macro and micro levels.

In Croatia, the common fig (Ficus carica L.) is one of the oldest cultivated fruit trees, commonly present in family orchards. Significant efforts have been made lately to collect national genetic resources to ensure their long-term conservation in ex situ collections, and thus, their sustainable management. In Croatia there are two ex situ fig germplasm collections, with 22 accessions officially registered in the Croatian Plant Genetic Resources Database. The aim of this study was to characterize the collections and to assess the genetic diversity of collected fig germplasm. A set of 90 accessions from Croatian collections and six reference samples from a Slovenian database were genotyped using five SSR markers. A total of 24 alleles were detected, with the observed number of alleles per locus ranging from three (FCUP-016-6) to seven (FCUP-038-6) with an average of 4.8 alleles per locus. The UPGMA clustering analysis discriminated 31 genotypes and revealed five groups of accessions. In total, 77 duplicated accessions, 11 new genotypes, and 20 cases of homonymy and synonymy have been determined. The genetic relationships among Croatian traditional fig cultivars have been assessed. Results obtained in this study can be used for germplasm conservation, breeding programs, nursery production improvement, and for optimizing the national strategy for the management of fig genetic resources.

Continuous seed propagation in Turkey has given rise to a great number of seedling walnut trees which represents valuable walnut genetic resources. The number of native walnut trees is estimated to be over 5 million in Turkey and they possess large phenotypic variability in yield, nut and kernel characteristics, late bud breaking, late flowering, winter hardiness and tolerance to diseases. Progress in walnut breeding requires the exploitation of genetic variation among cultivars and landraces. In this study, we used 32 local diverse walnut genotypes obtained from seeds and 2 standard cultivars ('Sebin' and 'Bilecik'). This study implemented 21 previously used simple sequence repeats (SSR) markers to determine genetic diversity. The analysis revealed 135 alleles with an average of 6.43 alleles per locus. Genetic similarity ranged from 0.23 (for samples KW22 and KW29) to 0.87 (for samples KW27 and KW28). The highest number of alleles per locus was obtained from WGA 276 locus (11 alleles), followed by WGA054 (9 alleles), WGA 202 and WGA321 (8 alleles) while the lowest number was detected in WGA027. According to the morphological and molecular data, the genotypes differed from each other and the cvs. Sebin and Bilecik. The majority of the genotypes had higher fruit weight and some of the genotypes had higher kernel ratio than cvs. Sebin and Bilecik implying the importance of registering genotypes as cultivars. This research provides information on the genetic relationship of walnut genotypes and cultivars and emphasises the importance of protection and utilisation of seed-propagated walnut genetic resources.

Turkey is well known for fig production and diversity in the world and fig trees are prevalent in various parts of the country. Eastern Black sea region has table fig cultivation, and together with local cultivars, unnamed numerous genotypes are present in the region. Progress in fig breeding requires the exploitation of genetic variation among cultivars, landraces and gene pools. Local cultivars (Patlican, Kara Patlican, Beyaz Torosun, Kara Torosun), standard cultivar (Bursa siyahi), and unnamed genotypes (from T1 to T37) as well were analyzed using SSR markers. The analysis revealed 116 alleles and all of them were found polymorphic. Genetic similarity ranged between 0.24 and 0.90. T24 and T25 genotypes (0.90) were the closest cultivars, while Bursa Siyahi cultivar and T19 genotype were the most distant genotypes (0.24). The number of alleles per locus ranged from 2 (LMFC37 and MFC4 primers) to 9 (LMFC30 primer). LMFC30 (9 alleles), MFC3 (8 alleles), FCUP038 and LMFC32 (7 alleles) SSR primers were the most polymorphic. The selected SSR primers provided a great resolution in evaluating the relationship of the local fig thanks to their rich allelic diversity and co-dominance.

Some wild, morphologically diverse taxa of the genus Iris in the broad Alpine-Dinaric area have never been explored molecularly, and/or have ambiguous systematic status. The main aims of our research were to perform a molecular study of critical Iris taxa from that area (especially a narrow endemic accepted species I. adriatica, for which we also analysed genome size) and to explore the contribution of eight microsatellites and highly variable chloroplast DNA (ndhJ, rpoC1) markers to the understanding of the Iris taxa taxonomy and phylogeny. Both the microsatellite-based UPGMA and plastid markers-based maximum likelihood analysis discriminated three main clusters in the set of 32 analysed samples, which correspond well to the lower taxonomic categories of the genus, and support separate status of ambiguous regional taxa (e.g., I. sibirica subsp. erirrhiza, I. x croatica and I. x rotschildii). The first molecular data on I. adriatica revealed its genome size (2C = 12.639 ± 0.202 pg) and indicated the existence of ecotypes. For future molecular characterisation of the genus we recommend the utilisation of microsatellite markers supplemented with a combination of plastid markers.