Biology subjects

Holder, M. T.

Publications and source records attributed to Holder, M. T..

4 recordsLinked to original sources

bioRxiv2024

A complete and dynamic tree of birds

We present a complete, time-scaled, evolutionary tree of the worlds bird species. This tree unites phylogenetic estimates for 9,239 species from 262 studies published between 1990 and 2024, using the Open Tree synthesis algorithm. The remaining species are placed in the tree based on curated taxonomic information. The tips of this complete tree are aligned to the species in the Clements Taxonomy used by eBird and other resources, and cross-mapped to other taxonomic systems including the Open Tree of Life (Open Tree), National Center for Biotechnology Information (NCBI), and Global Biodiversity Information Facility (GBIF). The total number of named bird species varies between 10,824 and 11,017 across the taxonomy versions we applied (v2021, v2022 and v2023). We share complete trees for each taxonomy version. The procedure, software and data-stores we used to generate this tree are public and reproducible. The tree presented here is Aves v1.2 and can be easily updated with new phylogenetic information as new estimates are published. We demonstrate the types of large scale analyses this data resource enables by linking geographic data with the phylogeny to calculate the regional phylogenetic diversity of birds across the world. We will release updated versions of the phylogenetic synthesis and taxonomic translation tables annually. The procedure we describe here can be applied to developing complete phylogenetic estimates for any taxonomic group of interest. Significance statementBirds are charismatic - well loved, and highly studied. Many new phylogenies elucidating avian birds evolutionary relationships are published every year. We have united phylogenetic estimates from hundreds of studies to create a complete evolutionary tree of all birds. While a variety of resources aggregate huge collections of trait, behavior and location data for birds, previously the barriers to linking data between these data resources and bird evolutionary history have limited the opportunities to do exciting large scale analyses. We have bridged that gap, and developed a system that allows us to easily update our understanding of bird evolution as new estimates are generated. We share a workflow and the software needed to create a complete evolutionary tree for any group.

evolutionary biology↗

bioRxiv2023

Speeding up iterative applications of the BUILD supertree algorithm

The Open Tree of Life (OToL) project produces a supertree that summarizes phylogenetic knowledge from tree estimates published in the primary literature. The supetree construction algorithm iteratively calls Ahos Build algorithm thousands of times in order to assess the compatability of different phylogenetic groupings. We describe an incrementalized version of the Build algorithm that is able to share work between successive calls to Build. We provide details that allow a programmer to implement the incremental algorithm BO_SCPLOWUILDC_SCPLOWIO_SCPLOWNCC_SCPLOW, including pseudo-code and a description of data structures. We assess the effect of BO_SCPLOWUILDC_SCPLOWIO_SCPLOWNCC_SCPLOW on our supertree algorithm by analyzing simulated data and by analyzing a supertree problem taken from the OToL 13.4 synthesis tree. We find that BO_SCPLOWUILDC_SCPLOWIO_SCPLOWNCC_SCPLOW provides up to 550-fold speedup for our supertree algorithm.

bioinformatics↗

bioRxiv2020

OpenTree: A Python package for Accessing andAnalyzing data from the Open Tree of Life

The Open Tree of Life project constructs a comprehensive, dynamic and digitally-available tree of life by synthesizing published phylogenetic trees along with taxonomic data. Open Tree of Life provides web-service application programming interfaces (APIs) to make the tree estimate, unified taxonomy, and input phylogenetic data available to anyone. Here, we describe the python package opentree, which provides a user friendly python wrapper for these APIs and a set of scripts and tutorials for straightforward downstream data analyses. We demonstrate the utility of these tools by generating an estimate of the phylogenetic relationships of all bird families, and by capturing a phylogenetic estimate for all taxa observed at the University of California Merced Vernal Pools and Grassland Reserve.

bioinformatics↗

bioRxiv2019

Copulas reveal complex and informative dependencies propagating throughout ecology

All branches of ecology study relationships among and between environmental and biological variables. However, standard approaches to studying such relationships, based on correlation and regression, provide only a small slice of the complex information contained in the relationships. Other statistical approaches exist that provide a complete description of relationships between variables, based on the concept of the copula; they are applied in finance, neuroscience and other fields, but rarely in ecology. We here explore the concepts that underpin copulas and examine the potential for those concepts to improve our understanding of ecology. We find that informative copula structure in dependencies between variables is common across all the environmental, species-trait, phenological, population, community, and ecosystem functioning datasets we considered. Many datasets exhibited asymmetric tail associations, whereby two variables were more strongly related in their left compared to right tails, or vice versa. We describe mechanisms by which observed copula structure and asymmetric tail associations can arise in ecological data, including a Moran-like effect whereby dependence structures between environmental variables are inherited by ecological variables; and asymmetric or nonlinear influences of environments on ecological variables, such as under Liebigs law of the minimum. We also describe consequences of copula structure for ecological phenomena, including impacts on extinction risk, Taylors law, and the stability through time of ecosystem services. By documenting the importance of a complete description of dependence between variables, advancing conceptual frameworks, and demonstrating a powerful approach, we aim to encourage widespread use of copulas in ecology, which we believe can benefit the discipline.

ecology↗