Genomic Architecture Predicts Tree Topology, Population Structuring, and Demographic History in Amazonian Birds.

Geographic barriers are frequently invoked to explain genetic structuring across the landscape. However, inferences on the spatial and temporal origins of population variation have been largely limited to evolutionary neutral models, ignoring the potential role of natural selection and intrinsic genomic processes known as genomic architecture in producing heterogeneity in differentiation across the genome. To test how variation in genomic characteristics (e.g. recombination rate) impacts our ability to reconstruct general patterns of differentiation between species that cooccur across geographic barriers, we sequenced the whole genomes of multiple bird populations that are distributed across rivers in southeastern Amazonia. We found that phylogenetic relationships within species and demographic parameters varied across the genome in predictable ways. Genetic diversity was positively associated with recombination rate and negatively associated with species tree support. Gene flow was less pervasive in genomic regions of low recombination, making these windows more likely to retain patterns of population structuring that matched the species tree. We further found that approximately a third of the genome showed evidence of selective sweeps and linked selection, skewing genome-wide estimates of effective population sizes and gene flow between populations toward lower values. In sum, we showed that the effects of intrinsic genomic characteristics and selection can be disentangled from neutral processes to elucidate spatial patterns of population differentiation.

DO PARASITIC LICE EXHIBIT ENDEMISM IN PARALLEL WITH THEIR AVIAN HOSTS? A COMPARISON ACROSS NORTHERN AMAZONIAN AREAS OF ENDEMISM.

Areas of endemism are the smallest units in biogeography and can be defined as biologically unique areas comprising taxa with common geographic limits to their distributions. High beta diversity within Amazonia is often related to turnover among these areas. For decades, evolutionary biologists have tried to comprehend the mechanisms generating and maintaining the spatial structure and high diversity of free-living Amazonian organisms, particularly birds. However, few studies have tried to analyze these patterns among their parasites. Host and parasite associations involve shared history that may allow us to better understand the fine-scale evolutionary history of the host. Here we compare the coevolutionary patterns among 2 avian host species with distinct patterns of genetic structure in northern Amazonia, Dendrocincla fuliginosa (Aves: Dendrocolaptidae) and Dixiphia pipra (Aves: Pipridae), and their ectoparasitic lice (Insecta: Phthiraptera), Furnaricola sp. ex Dendrocincla fuliginosa, Myrsidea sp. ex Dixiphia pipra, and Tyranniphilopterus sp. ex Dixiphia pipra. We obtained sequences of the mitochondrial gene cytochrome oxidase subunit I from hosts and parasites collected on opposite banks of the Negro and Japurá rivers, which delimit 3 areas of endemism in northern Amazonia: Napo, Jau, and Guiana. Our results demonstrate that the Negro River is a geographical barrier for both Furnaricola sp. and its avian host, Dendrocincla fuliginosa. Phylogenies of both hosts, Dendrocincla fuliginosa, and the parasites, Furnaricola sp., show monophyletic clades on opposite margins of the river that are not sister taxa. These clades have a mean uncorrected p-distance of 17.8% for Furnaricola sp. and 6.0% for Dendrocincla fuliginosa. Thus, these parasite clades constitute distinct evolutionary lineages and may even be distinct species. In contrast, Dixiphia pipra has no population structure associated with either river. Accordingly, data from their lice Myrsidea sp. indicate weak support for different clades on opposite margins of the Negro River, whereas data from their lice Tyranniphilopterus sp. indicate weak structure across the Japurá. This study is a first step toward understanding the effects of biogeographic history on permanent ectoparasites and suggests that host biogeographic history is to some extent a determinant of the parasite's history. Furthermore, the parasite's evolutionary history is an additional source of information about their hosts' evolution in this highly diverse region of northern Amazonia.

Target sequence capture of Barnadesioideae (Compositae) demonstrates the utility of low coverage loci in phylogenomic analyses.

Target sequence capture has emerged as a powerful method to sequence hundreds or thousands of genomic regions in a cost- and time-efficient approach. In most cases, however, targeted regions lack full sequence information for certain samples, due to taxonomic, laboratory, or stochastic factors. Loci lacking molecular data for a large number of samples are commonly excluded from downstream analyses, even though they may still contain valuable information. On the other hand, including data-poor loci may bias phylogenetic analyses. Here we use a target sequence capture dataset of an ecologically and taxonomically diverse group of spiny sunflowers (Asteraceae, or Compositae: Barnadesioideae) to test how the inclusion or exclusion of such data-poor loci affects phylogenetic inference. We investigate the sensitivity of concatenation and coalescent approaches to missing data with matrices of varying taxonomic completeness by filtering loci with different proportions of missing samples prior to data analysis. We find that missing data affect both the topology and branch support of the resulting phylogenies. The matrix containing all loci yielded the overall highest node support values, independently of the amount of missing nucleotides. These results provide empirical support to earlier suggestions based on single genes and data simulations that taxa with high amounts of missing data should not be readily dismissed as they can provide essential information for phylogenomic reconstruction.

UCEasy: A software package for automating and simplifying the analysis of ultraconserved elements (UCEs).

BACKGROUND: The use of Ultraconserved Elements (UCEs) as genetic markers in phylogenomics has become popular and has provided promising results. Although UCE data can be easily obtained from targeted enriched sequencing, the protocol for in silico analysis of UCEs consist of the execution of heterogeneous and complex tools, a challenge for scientists without training in bioinformatics. Developing tools with the adoption of best practices in research software can lessen this problem by improving the execution of computational experiments, thus promoting better reproducibility. NEW INFORMATION: We present UCEasy, an easy-to-install and easy-to-use software package with a simple command line interface that facilitates the computational analysis of UCEs from sequencing samples, following the best practices of research software. UCEasy is a wrapper that standardises, automates and simplifies the quality control of raw reads, assembly and extraction and alignment of UCEs, generating at the end a data matrix with different levels of completeness that can be used to infer phylogenetic trees. We demonstrate the functionalities of UCEasy by reproducing the published results of phylogenomic studies of the bird genus Turdus (Aves) and of Adephaga families (Coleoptera) containing genomic datasets to efficiently extract UCEs.

Phylogenomics and biogeography of the world's thrushes (Aves, Turdus): new evidence for a more parsimonious evolutionary history.

To elucidate the relationships and spatial range evolution across the world of the bird genus Turdus (Aves), we produced a large genomic dataset comprising ca 2 million nucleotides for ca 100 samples representing 53 species, including over 2000 loci. We estimated time-calibrated maximum-likelihood and multispecies coalescent phylogenies and carried out biogeographic analyses. Our results indicate that there have been considerably fewer trans-oceanic dispersals within the genus Turdus than previously suggested, such that the Palaearctic clade did not originate in America and the African clade was not involved in the colonization of the Americas. Instead, our findings suggest that dispersal from the Western Palaearctic via the Antilles to the Neotropics might have occurred in a single event, giving rise to the rich Neotropical diversity of Turdus observed today, with no reverse dispersals to the Palaearctic or Africa. Our large multilocus dataset, combined with dense species-level sampling and analysed under probabilistic methods, brings important insights into historical biogeography and systematics, even in a scenario of fast and spatially complex diversification.

A dynamic continental moisture gradient drove Amazonian bird diversification.

The Amazon is the primary source of Neotropical diversity and a nexus for discussions on processes that drive biotic diversification. Biogeographers have focused on the roles of rivers and Pleistocene climate change in explaining high rates of speciation. We combine phylogeographic and niche-based paleodistributional projections for 23 upland terra firme forest bird lineages from across the Amazon to derive a new model of regional biological diversification. We found that climate-driven refugial dynamics interact with dynamic riverine barriers to produce a dominant pattern: Older lineages in the wetter western and northern parts of the Amazon gave rise to lineages in the drier southern and eastern parts. This climate/drainage basin evolution interaction links landscape dynamics with biotic diversification and explains the east-west diversity gradients across the Amazon.

A Guide to Carrying Out a Phylogenomic Target Sequence Capture Project.

High-throughput DNA sequencing techniques enable time- and cost-effective sequencing of large portions of the genome. Instead of sequencing and annotating whole genomes, many phylogenetic studies focus sequencing effort on large sets of pre-selected loci, which further reduces costs and bioinformatic challenges while increasing coverage. One common approach that enriches loci before sequencing is often referred to as target sequence capture. This technique has been shown to be applicable to phylogenetic studies of greatly varying evolutionary depth. Moreover, it has proven to produce powerful, large multi-locus DNA sequence datasets suitable for phylogenetic analyses. However, target capture requires careful considerations, which may greatly affect the success of experiments. Here we provide a simple flowchart for designing phylogenomic target capture experiments. We discuss necessary decisions from the identification of target loci to the final bioinformatic processing of sequence data. We outline challenges and solutions related to the taxonomic scope, sample quality, and available genomic resources of target capture projects. We hope this review will serve as a useful roadmap for designing and carrying out successful phylogenetic target capture studies.