BEAST 2.5:An advanced software platform for Bayesian evolutionary analysis

Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, and biogeographic range information among others. Including all relevant data into a single joint model is very challenging both conceptually and computationally. Advanced computational software packages that allow robust development of compatible (sub-)models which can be composed into a full model hierarchy have played a key role in these developments. Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. Here we describe a series of major new developments in the BEAST 2 core platform and model hierarchy that have occurred since the first release of the software, culminating in the recent 2.5 release

Analyses of Omicron genomes from India reveal BA.2 as a more transmissible variant

In the current study, the phylodynamics and phylogenomics of Omicron variants are being examined to provide insight into their evolution. We analyzed 564 genomes deposited to the GISAID database from various states of India. A Pangolin COVID-19 Lineage Assigner tool was used to assign lineages to all retrieved genomes. Maximum likelihood (MLE) tree construction and Reduced Median Joining (RM) network were performed. For phylodynamic analysis, the basic reproduction number (R0) was estimated. A Maximum likelihood tree (MLE) confirms the separation of genomes into two distinct clades, BA. 1. and BA. 2. A very high reproduction number (R0) of 2.445 was estimated for the lineage BA.2. Telangana has the highest R0 value in the country, indicating a high prevalence of the BA.2 lineage. The construction of the Reduced Median (RM) network reveals an evolution of some autochthonous haplogroups and haplotypes, which further supports the rapid evolution of Omicron as opposed to its previous variants. Phylogenomic analyses using maximum likelihood (ML) and RM also reveal the likelihood of the emergence of sub-sublineages and novel haplogroups respectively. Due to the recombinant nature and high transmissibility of the Omicron virus, we suggest continuous and more widespread genome sequencing in all states of India to track the evolution of SARS-CoV-2. DOI: http://dx.doi.org/10.5281/zenodo.760799

Emerg Infect Dis

In March 2015, a patient in Colombia with HIV/AIDS was hospitalized for disseminated ulcers after milking cows that had vesicular lesions on their udders. Vaccinia virus was detected, and the case met criteria for progressive vaccinia acquired by zoonotic transmission. Adherence to an optimized antiretroviral regimen resulted in recovery.202032091366PMC7045850731

Speciation and the error we make in phylogenetic inference

An evolutionary tree (also known as a phylogeny), is a tree-like diagram that shows the evolutionary relationship among species (e.g. humans are closer related to chimps than to crocodiles). Creating and interpreting these are important to understand speciation. A biologist makes quite some assumptions when creating an evolutionary species tree from DNA. When are these assumptions too simple or needlessly complicated? This research proposes a novel method to answer this question. This Bayesian method, named 'pirouette', does so for standard speciation models, but also for new, less explored ones. When applying 'pirouette' to a new speciation model, we conclude that, would nature allow multiple speciations to occur simultaneously, standard speciation models still give satisfactory evolutionary trees

SPREAD 4:Online visualisation of pathogen phylogeographic reconstructions

Phylogeographic analyses aim to extract information about pathogen spread from genomic data, and visualising spatio-temporal reconstructions is a key aspect of this process. Here we present SPREAD 4, a feature-rich web-based application that visualises estimates of pathogen dispersal resulting from Bayesian phylogeographic inference using BEAST on a geographic map, offering zoom-and-filter functionality and smooth animation over time. SPREAD 4 takes as input phylogenies with both discrete and continuous location annotation and offers customised visualisation as well as generation of publication-ready figures. SPREAD 4 now features account-based storage and easy sharing of visualisations by means of unique web addresses. SPREAD 4 is intuitive to use and is available online at https://spreadviz.org, with an accompanying web page containing answers to frequently asked questions at https://beast.community/spread4

Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020

Understanding the current SARS-CoV-2 pandemics dynamics using a multidisciplinary approach is essential to improve evidence-based policies. In our study, we estimated the SARS-CoV-2 effective reproductive number (Rt) in Peru using information from 69 complete genomes sequenced by INS-Peru and available in the GISAID public database. The tendency of Rt within March and April 2020 was similar to independent epidemiological reports. The Rt value decreased (Rt<1) during the first weeks of the pandemics in Peru but increases (Rt>1) before the beginning of April. More genomic information from Peruvian samples, available in public databases, that also represent the broad geographic diversity of Peru will allow better estimations based on genetic data and will complement epidemiological information

The Earliest Farmers of Northwest China Exploited Grain-fed Pheasants not Chickens

Though chickens (Gallus gallus domesticus) are globally ubiquitous today, the timing, location, and manner of their domestication is contentious. Until recently, archaeologists placed the origin of the domestic chicken in northern China, perhaps as early as 8,000 years ago. Such evidence however complicates our understanding of how the chicken was domesticated because its wild progenitor – the red jungle fowl (Gallus gallus) – lives in tropical ecosystems and does not exist in northern China today or in the recent past. Increasingly, multiple lines of evidence suggest that many of the archaeological bird remains underlying this northern origins hypothesis have been misidentified. Here we analyze the mitochondrial DNA of some of the earliest purported chickens from the Dadiwan site in northern China and conclude that they are pheasants (Phasianus colchicus). Curiously, stable isotope values from the same birds reveal that their diet was heavy in agricultural products (namely millet), meaning that they lived adjacent to or among some of the earliest farming communities in East Asia. We suggest that the exploitation of these baited birds was an important adaptation for early farmers in China’s arid north, and that management practices like these likely played a role in the domestication of animals – including the chicken – in similar contexts throughout the region.The original isotopic analyses of these remains were conducted in collaboration with Seth Newsome (then at the Carnegie Institution of Washington) and Chen Fahu (Lanzhou University), with funding from the Wenner-Gren Foundation (awarded to L.B.). The University of Oklahoma provided funding for all molecular analyses (through B.M.K.). Open Access fees paid for in whole or in part by the University of Oklahoma LibrariesYe