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Eldholm, V.

Publications and source records attributed to Eldholm, V..

3 recordsLinked to original sources

Comparing phylogenetic trees according to tip label categories

Trees that illustrate patterns of ancestry and evolution are a central tool in many areas of biology. Comparing evolutionary trees to each other has widespread applications in comparing the evolutionary stories told by different sources of data, assessing the quality of inference methods, and highlighting areas where patterns of ancestry are uncertain. While these tasks are complicated by the fact that trees are high-dimensional structures encoding a large amount of information, there are a number of metrics suitable for comparing evolutionary trees whose tips have the same set of unique labels. There are also metrics for comparing trees where there is no relationship between their labels: in unlabelled tree metrics the tree shapes are compared without reference to the tip labels.\n\nIn many interesting applications, however, the taxa present in two or more trees are related but not identical, and it is informative to compare the trees whilst retaining information about their tips relationships. We present methods for comparing trees whose labels belong to a pre-defined set of categories. The methods include a measure of distance between two such trees, and a measure of concordance between one such tree and a hierarchical classification tree of the unique categories. We demonstrate the intuition of our methods with some toy examples before presenting an analysis of Mycobacterium tuberculosis trees, in which we use our methods to quantify the differences between trees built from typing versus sequence data.

evolutionary biology

Genome-based transmission modeling separates imported tuberculosis from recent transmission within an immigrant population

BackgroundIn many countries tuberculosis incidence is low and largely shaped by immigrant populations from high-burden countries. This is the case in Norway, where more than 80 per cent of TB cases are found among immigrants from high-incidence countries. A variable latent period, low rates of evolution and structured social networks make separating import from within-border transmission a major conundrum to TB-control efforts in many low-incidence countries.\n\nMethodsClinical Mycobacterium tuberculosis isolates belonging to an unusually large genotype cluster associated with people born in the Horn of Africa, have been identified in Norway over the last two decades. We applied modeled transmission based on whole-genome sequence data to estimate infection times for individual patients. By contrasting these estimates with time of arrival in Norway, we estimate on a case-by-case basis whether patients were likely to have been infected before or after arrival.\n\nResultsIndependent import was responsible for the majority of cases, but we estimate that about a quarter of the patients had contracted TB in Norway.\n\nConclusionsThis study illuminates the transmission dynamics within an immigrant community. Our approach is broadly applicable to many settings where TB control programs can benefit from understanding when and where patients acquired tuberculosis.

epidemiology

Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia

Mycobacterium tuberculosis (M.tb) is a globally distributed, obligate pathogen of humans that can be divided into seven clearly defined lineages. Identifying how the ancestral clone of M.tb spread and differentiated is important for identifying the ecological drivers of the current pandemic. We reconstructed M.tb migration in Africa and Eurasia, and investigated lineage specific patterns of spread. Applying evolutionary rates inferred with ancient M.tb genome calibration, we link M.tb dispersal to historical phenomena that altered patterns of connectivity throughout Africa and Eurasia: trans-Indian Ocean trade in spices and other goods, the Silk Road and its predecessors, the expansion of the Roman Empire and, the European Age of Exploration. We find that Eastern Africa and Southeast Asia have been critical in the dispersal of M.tb. Our results reveal complex relationships between spatial dispersal and expansion of M.tb populations, and delineate the independent evolutionary trajectories of bacterial sub-populations underlying the current pandemic.

evolutionary biology