Phylogeny

R is currently perhaps the most powerful and widely used tool for calculations of all kinds. A wide range of modules for working with molecular data is also available. A representative selection of these modules is the focus of this course.

Practical course of phylogenomic methods focused on Hyb-Seq NGS method. The Hyb-Seq method combines target enrichment and genome skimming of the genome. The course covers the theory, discussion of the newest papers from the field, probe design, laboratory and computer part. Several methodological approaches to data analysis, from raw data to species tree analysis, are demonstrated within the course. The lab part includes NGS library preparation (using sonicator) and enrichment.

Aim

To investigate the ecological and evolutionary mechanisms driving biodiversity in the Indo-Malayan hotspots, with a particular focus on the roles of ancient hybridisation and historical climate in shaping species diversity.

Location

The Indo-Malayan realm, particularly the Western Ghats-Sri Lanka and Indo-Burma biodiversity hotspots.

Time Period

The Miocene Climatic Optimum (~14 million years ago) to these days.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Their representative selection will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more. The aim is to teach students how to analyze molecular data in R programming language, introduce available packages for their analysis and practical trying out to work with own or provided data.

Practical course of phylogenomic methods focused on Hyb-Seq NGS method. The Hyb-Seq method combines target enrichment and genome skimming of the genome. The course covers the theory, discussion of the newest papers from the field, probe design, laboratory and computer part. Several methodological approaches to data analysis, from raw data to species tree analysis, are demonstrated within the course. The lab part includes NGS library preparation (using sonicator) and enrichment.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Their representative selection will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more. The aim is to teach students how to analyze molecular data in R programming language, introduce available packages for their analysis and practical trying out to work with own or provided data.

The Greater Cape Floristic Region (GCFR) is renowned for its exceptional biodiversity, accommodating over 11 000 plant species, notable degree of endemism, and substantial diversification within limited plant lineages, a phenomenon ascribed to historical radiation events. While both abiotic and biotic factors contribute to this diversification, comprehensive genomic alterations, recognized as pivotal in the diversification of angiosperms, are perceived as uncommon. This investigation focuses on the genus Pteronia, a prominent representative of the Asteraceae family in the GCFR.

Practical course of phylogenomic methods focused on Hyb-Seq NGS method. The Hyb-Seq method combines target enrichment and genome skimming of the genome. The course covers the theory, discussion of the newest papers from the field, probe design, laboratory and computer part. Several methodological approaches to data analysis, from raw data to species tree analysis, are demonstrated within the course. The lab part includes NGS library preparation (using sonicator) and enrichment.

The first species-level phylogeny of the Sabulina verna group is presented. Genetic clusters are congruent with geography and mostly supported by morphological traits. Metalliferous and serpentine soils were colonized multiple times independently.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Their representative selection will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more. The aim is to teach students how to analyze molecular data in R programming language, introduce available packages for their analysis and practical trying out to work with own or provided data.