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Shridhar SV, Beghini F, Alexander M, Singh A, Juárez RM, Brito IL, Christakis NA. Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages. Cell Rep 2024; 43:114442. [PMID: 38968070 PMCID: PMC11290354 DOI: 10.1016/j.celrep.2024.114442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/27/2024] [Accepted: 06/19/2024] [Indexed: 07/07/2024] Open
Abstract
Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.
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Affiliation(s)
- Shivkumar Vishnempet Shridhar
- Yale Institute for Network Science, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Francesco Beghini
- Yale Institute for Network Science, Yale University, New Haven, CT, USA
| | - Marcus Alexander
- Yale Institute for Network Science, Yale University, New Haven, CT, USA
| | - Adarsh Singh
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Ilana L Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
| | - Nicholas A Christakis
- Yale Institute for Network Science, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA; Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
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Guillerme T, Bright JA, Cooney CR, Hughes EC, Varley ZK, Cooper N, Beckerman AP, Thomas GH. Innovation and elaboration on the avian tree of life. SCIENCE ADVANCES 2023; 9:eadg1641. [PMID: 37878701 PMCID: PMC10599619 DOI: 10.1126/sciadv.adg1641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 09/22/2023] [Indexed: 10/27/2023]
Abstract
Widely documented, megaevolutionary jumps in phenotypic diversity continue to perplex researchers because it remains unclear whether these marked changes can emerge from microevolutionary processes. Here, we tackle this question using new approaches for modeling multivariate traits to evaluate the magnitude and distribution of elaboration and innovation in the evolution of bird beaks. We find that elaboration, evolution along the major axis of phenotypic change, is common at both macro- and megaevolutionary scales, whereas innovation, evolution away from the major axis of phenotypic change, is more prominent at megaevolutionary scales. The major axis of phenotypic change among species beak shapes at megaevolutionary scales is an emergent property of innovation across clades. Our analyses suggest that the reorientation of phenotypes via innovation is a ubiquitous route for divergence that can arise through gradual change alone, opening up further avenues for evolution to explore.
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Affiliation(s)
- Thomas Guillerme
- School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Jen A. Bright
- School of Natural Science, University of Hull, Hull HU6 7RX, UK
| | | | - Emma C. Hughes
- School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Zoë K. Varley
- Natural History Museum, Cromwell Road, London SW7 5BD, UK
- Bird Group, Department of Life Sciences, the Natural History Museum at Tring, Tring, UK
| | - Natalie Cooper
- Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | | | - Gavin H. Thomas
- School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
- Bird Group, Department of Life Sciences, the Natural History Museum at Tring, Tring, UK
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Revelo Hernández DC, Baldwin JW, Londoño GA. Ecological drivers and consequences of torpor in Andean hummingbirds. Proc Biol Sci 2023; 290:20222099. [PMID: 36919431 PMCID: PMC10015325 DOI: 10.1098/rspb.2022.2099] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
Daily torpor allows endotherms to save energy during energetically stressful (e.g. cold) conditions. Although studies on avian torpor have mostly been conducted under laboratory conditions, information on the usage of torpor in the wild is limited to few, predominantly temperate-zone species. We studied torpor under seminatural conditions from 249 individuals from 29 hummingbird species across a 1920 m elevational gradient in the western Andes of Colombia using cloacal thermistors. Small birds were more likely to use torpor than large birds, but only at low ambient temperatures, where torpor was prolonged. We also found effects of proxy variables for body condition and energy expenditure on the use of torpor, its characteristics, and impacts. Our results suggest that context-dependency and phylogenetic variation in the probability of deploying torpor can help understand clade-wide patterns of elevational distribution in Andean hummingbirds.
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Affiliation(s)
| | - Justin W. Baldwin
- Department of Biology, Washington University, St. Louis, MO 63130, USA
| | - Gustavo A. Londoño
- Universidad Icesi, Facultad de Ciencias Naturales, Departamento de Ciencias Biológicas, Calle 18 No. 122-135, Cali, Colombia
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Decoupled Patterns of Diversity and Disparity Characterize an Ecologically Specialized Lineage of Neotropical Cricetids. Evol Biol 2023. [DOI: 10.1007/s11692-022-09596-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Martin BS, Bradburd GS, Harmon LJ, Weber MG. Modeling the Evolution of Rates of Continuous Trait Evolution. Syst Biol 2022:6830631. [PMID: 36380474 DOI: 10.1093/sysbio/syac068] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Indexed: 11/17/2022] Open
Abstract
Rates of phenotypic evolution vary markedly across the tree of life, from the accelerated evolution apparent in adaptive radiations to the remarkable evolutionary stasis exhibited by so-called "living fossils". Such rate variation has important consequences for large-scale evolutionary dynamics, generating vast disparities in phenotypic diversity across space, time, and taxa. Despite this, most methods for estimating trait evolution rates assume rates vary deterministically with respect to some variable of interest or change infrequently during a clade's history. These assumptions may cause underfitting of trait evolution models and mislead hypothesis testing. Here, we develop a new trait evolution model that allows rates to vary gradually and stochastically across a clade. Further, we extend this model to accommodate generally decreasing or increasing rates over time, allowing for flexible modeling of "early/late bursts" of trait evolution. We implement a Bayesian method, termed "evolving rates" (evorates for short), to efficiently fit this model to comparative data. Through simulation, we demonstrate that evorates can reliably infer both how and in which lineages trait evolution rates varied during a clade's history. We apply this method to body size evolution in cetaceans, recovering substantial support for an overall slowdown in body size evolution over time with recent bursts among some oceanic dolphins and relative stasis among beaked whales of the genus Mesoplodon. These results unify and expand on previous research, demonstrating the empirical utility of evorates.
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Affiliation(s)
- B S Martin
- Department of Plant Biology, Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA
| | - G S Bradburd
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - L J Harmon
- Department of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83843, USA
| | - M G Weber
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
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