Limitations to estimating bacterial cross-species transmission using genetic and genomic markers: inferences from simulation modeling

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Limitations to estimating bacterial cross-species transmission using genetic and genomic markers: inferences from simulation modeling

Julio A. Benavides [et al.] - Nama Orang;

Cross-species transmission (CST) of bacterial pathogens has major implications for human health, livestock, and wildlife management because it determines whether control actions in one species may have subsequent effects on other potential host species. The study of bacterial transmission has benefitted from methods measuring two types of genetic variation: variable number of tandem repeats (VNTRs) and single nucleotide polymorphisms (SNPs). However, it is unclear whether these data can distinguish between different epidemiological scenarios.
We used a simulation model with two host species and known transmission rates (within and between species) to evaluate the utility of these markers for inferring CST. We found that CST estimates are biased for a wide range of parameters when based on VNTRs and a most parsimonious reconstructed phylogeny. However, estimations of CST rates lower than 5% can be achieved with relatively low bias using as low as 250 SNPs. CST estimates are sensitive to several parameters, including the number of mutations accumulated since introduction, stochasticity, the genetic difference of strains introduced, and the sampling effort. Our results suggest that, even with whole-genome sequences, unbiased estimates of CST will be difficult when sampling is limited, mutation rates are low, or for pathogens that were recently introduced.

Keywords: bacterial pathogens, cross-species transmission, infectious disease, molecular, epidemiology, most parsimonious, phylogenetic reconstruction, simulation, modeling.

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Judul Seri: Evolutionary Applications
No. Panggil: -
Penerbit: New York : John Wiley & Sons, Ltd.., 2014
Deskripsi Fisik: Evolutionary Applications; 7 (2014) 774–787
Bahasa: English
ISBN/ISSN: 1752-4571
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 7 (2014)
Subjek: BIOLOGI
Info Detail Spesifik: -
Pernyataan Tanggungjawab: agus

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FULL TEXT: Limitations to estimating bacterial cross-species transmission using genetic and genomic markers: inferences from simulation modeling

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