Dataset Information

Development of novel microsatellite markers for Alkanna tinctoria by comparative transcriptomics.

ABSTRACT:

Premise

Alkanna tinctoria (Boraginaceae) is an important medicinal herb with its main distribution across the Mediterranean region. To reveal its genetic variation and population structure, microsatellite markers were developed and validated in four Greek populations.

Methods and results

RNA-Seq data of the related species Arnebia euchroma and Echium plantagineum were assembled and mined to identify conserved ortholog sets containing simple sequence repeat motifs. Fifty potential loci were identified and then tested on A. tinctoria, of which 17 loci were polymorphic. The number of alleles ranged from one to nine, and the levels of observed and expected heterozygosity ranged from 0.000 to 1.000 and 0.000 to 0.820, respectively. Most of these loci could be successfully amplified in eight other species of Boraginaceae (Alkanna graeca, A. hellenica, A. sfikasiana, Echium vulgare, E. plantagineum, Lithospermum officinale, Borago officinalis, and Anchusa officinalis).

Conclusions

This study provides the first set of microsatellite loci for studying the genetic variation and population structure of A. tinctoria and shows their potential usefulness in other Boraginaceae species.

SUBMITTER: Ahmad M

PROVIDER: S-EPMC6814220 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Development of novel microsatellite markers for <i>Alkanna tinctoria</i> by comparative transcriptomics.

Ahmad Muhammad M Lazic Desanka D Hansel-Hohl Karin K Lexer Christian C Sehr Eva Maria EM

Applications in plant sciences 20191022 10

<h4>Premise</h4><i>Alkanna tinctoria</i> (Boraginaceae) is an important medicinal herb with its main distribution across the Mediterranean region. To reveal its genetic variation and population structure, microsatellite markers were developed and validated in four Greek populations.<h4>Methods and results</h4>RNA-Seq data of the related species <i>Arnebia euchroma</i> and <i>Echium plantagineum</i> were assembled and mined to identify conserved ortholog sets containing simple sequence repeat mot ...[more]

PMID: 31667024

Similar Datasets

Project description:Background and Aims: Quantifying genetic variation is fundamental to understand a species' demographic trajectory and its ability to adapt to future changes. In comparison with diploids, however, genetic variation and factors fostering genetic divergence remain poorly studied in polyploids due to analytical challenges. Here, by employing a ploidy-aware framework, we investigated the genetic structure and its determinants in polyploid Alkanna tinctoria (Boraginaceae), an ancient medicinal herb that is the source of bioactive compounds known as alkannin and shikonin (A/S). From a practical perspective, such investigation can inform biodiversity management strategies. Methods: We collected 14 populations of A. tinctoria within its main distribution range in Greece and genotyped them using restriction site-associated DNA sequencing. In addition, we included two populations of A. sieberi. By using a ploidy-aware genotype calling based on likelihoods, we generated a dataset of 16,107 high-quality SNPs. Classical and model-based analysis was done to characterize the genetic structure within and between the sampled populations, complemented by genome size measurements and chromosomal counts. Finally, to reveal the drivers of genetic structure, we searched for associations between allele frequencies and spatial and climatic variables. Key Results: We found support for a marked regional structure in A. tinctoria along a latitudinal gradient in line with phytogeographic divisions. Several analyses identified interspecific admixture affecting both mainland and island populations. Modeling of spatial and climatic variables further demonstrated a larger contribution of neutral processes and a lesser albeit significant role of selection in shaping the observed genetic structure in A. tinctoria. Conclusion: Current findings provide evidence of strong genetic structure in A. tinctoria mainly driven by neutral processes. The revealed natural genomic variation in Greek Alkanna can be used to further predict variation in A/S production, whereas our bioinformatics approach should prove useful for the study of other non-model polyploid species.

Project description:The world's population is increasing at a rate not seen in the past. Agriculture, providing food for this increasing population, is reaching its boundaries of space and natural resources. In addition, changing legislation and increased ecological awareness are forcing agriculture to reduce its environmental impact. This entails the replacement of agrochemicals with nature-based solutions. In this regard, the search for effective biocontrol agents that protect crops from pathogens is in the spotlight. In this study, we have investigated the biocontrol activity of endophytic bacteria isolated from the medicinal plant Alkanna tinctoria Tausch. To do so, an extensive collection of bacterial strains was initially genome sequenced and in silico screened for features related to plant stimulation and biocontrol. Based on this information, a selection of bacteria was tested in vitro for antifungal activity using direct antagonism in a plate assay and in planta with a detached-leaf assay. Bacterial strains were tested individually and in combinations to assess the best-performing treatments. The results revealed that many bacteria could produce metabolites that efficiently inhibit the proliferation of several fungi, especially Fusarium graminearum. Among these, Pseudomonas sp. strain R-71838 showed a strong antifungal effect, in both dual-culture and in planta assays, making it the most promising candidate for biocontrol application. Using microbes from medicinal plants, this study highlights the opportunities of using genomic information to speed up the screening of a taxonomically diverse set of bacteria with biocontrol properties. IMPORTANCE Phytopathogenic fungi are a major threat to global food production. The most common management practice to prevent plant infections involves the intensive use of fungicides. However, with the growing awareness of the ecological and human impacts of chemicals, there is a need for alternative strategies, such as the use of bacterial biocontrol agents. Limitations in the design of bacterial biocontrol included the need for labor-intensive and time-consuming experiments to test a wide diversity of strains and the lack of reproducibility of their activity against pathogens. Here, we show that genomic information is an effective tool to select bacteria of interest quickly. Also, we highlight that the strain Pseudomonas sp. R-71838 produced a reproducible antifungal effect both in vitro and in planta. These findings build a foundation for designing a biocontrol strategy based on Pseudomonas sp. R-71838.