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Liu Y, Hogan JA, Lichstein JW, Guralnick RP, Soltis DE, Soltis PS, Scheiner SM. Biodiversity and productivity in eastern US forests. Proc Natl Acad Sci U S A 2024; 121:e2314231121. [PMID: 38527197 PMCID: PMC10998592 DOI: 10.1073/pnas.2314231121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/06/2024] [Indexed: 03/27/2024] Open
Abstract
Despite experimental and observational studies demonstrating that biodiversity enhances primary productivity, the best metric for predicting productivity at broad geographic extents-functional trait diversity, phylogenetic diversity, or species richness-remains unknown. Using >1.8 million tree measurements from across eastern US forests, we quantified relationships among functional trait diversity, phylogenetic diversity, species richness, and productivity. Surprisingly, functional trait and phylogenetic diversity explained little variation in productivity that could not be explained by tree species richness. This result was consistent across the entire eastern United States, within ecoprovinces, and within data subsets that controlled for biomass or stand age. Metrics of functional trait and phylogenetic diversity that were independent of species richness were negatively correlated with productivity. This last result suggests that processes that determine species sorting and packing are likely important for the relationships between productivity and biodiversity. This result also demonstrates the potential confusion that can arise when interdependencies among different diversity metrics are ignored. Our findings show the value of species richness as a predictive tool and highlight gaps in knowledge about linkages between functional diversity and ecosystem functioning.
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Affiliation(s)
- Yunpeng Liu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory of Earth Surface Processes of Ministry of Education, Peking University, Beijing100871, China
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
| | - J. Aaron Hogan
- Department of Biology, University of Florida, Gainesville, FL32611
| | | | - Robert P. Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Douglas E. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Department of Biology, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Pamela S. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
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2
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Gaudry A, Pagni M, Mehl F, Moretti S, Quiros-Guerrero LM, Cappelletti L, Rutz A, Kaiser M, Marcourt L, Queiroz EF, Ioset JR, Grondin A, David B, Wolfender JL, Allard PM. A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery. ACS CENTRAL SCIENCE 2024; 10:494-510. [PMID: 38559298 PMCID: PMC10979503 DOI: 10.1021/acscentsci.3c00800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The ENPKG framework organizes large heterogeneous metabolomics data sets as a knowledge graph, offering exciting opportunities for drug discovery and chemodiversity characterization.
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Affiliation(s)
- Arnaud Gaudry
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Marco Pagni
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Florence Mehl
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Sébastien Moretti
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Luis-Manuel Quiros-Guerrero
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Luca Cappelletti
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
| | - Adriano Rutz
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Marcel Kaiser
- Department of Medical
and Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland
- Faculty of Science, University of Basel, 4002 Basel, Switzerland
| | - Laurence Marcourt
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Emerson Ferreira Queiroz
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Jean-Robert Ioset
- Drugs
for Neglected Diseases Initiative (DNDi), 1202 Geneva, Switzerland
| | - Antonio Grondin
- Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre, 31562 Toulouse, France
| | - Bruno David
- Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre, 31562 Toulouse, France
| | - Jean-Luc Wolfender
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Pierre-Marie Allard
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
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Gumbs R, Scott O, Bates R, Böhm M, Forest F, Gray CL, Hoffmann M, Kane D, Low C, Pearse WD, Pipins S, Tapley B, Turvey ST, Jetz W, Owen NR, Rosindell J. Global conservation status of the jawed vertebrate Tree of Life. Nat Commun 2024; 15:1101. [PMID: 38424441 PMCID: PMC10904806 DOI: 10.1038/s41467-024-45119-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 01/16/2024] [Indexed: 03/02/2024] Open
Abstract
Human-driven extinction threatens entire lineages across the Tree of Life. Here we assess the conservation status of jawed vertebrate evolutionary history, using three policy-relevant approaches. First, we calculate an index of threat to overall evolutionary history, showing that we expect to lose 86-150 billion years (11-19%) of jawed vertebrate evolutionary history over the next 50-500 years. Second, we rank jawed vertebrate species by their EDGE scores to identify the highest priorities for species-focused conservation of evolutionary history, finding that chondrichthyans, ray-finned fish and testudines rank highest of all jawed vertebrates. Third, we assess the conservation status of jawed vertebrate families. We found that species within monotypic families are more likely to be threatened and more likely to be in decline than other species. We provide a baseline for the status of families at risk of extinction to catalyse conservation action. This work continues a trend of highlighting neglected groups-such as testudines, crocodylians, amphibians and chondrichthyans-as conservation priorities from a phylogenetic perspective.
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Affiliation(s)
- Rikki Gumbs
- Zoological Society of London, London, NW1 4RY, UK.
- Science and Solutions for a Changing Planet DTP, Grantham Institute, Imperial College London, London, SW7 2AZ, UK.
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK.
| | - Oenone Scott
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
- School of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK
| | - Ryan Bates
- Zoological Society of London, London, NW1 4RY, UK
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
| | - Monika Böhm
- Global Center for Species Survival, Indianapolis Zoological Society, Indianapolis, IN, 46222, USA
| | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
| | | | | | - Daniel Kane
- Zoological Society of London, London, NW1 4RY, UK
| | - Christopher Low
- Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment Research, University College London, London, WC1E 6BT, UK
| | - William D Pearse
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
| | - Sebastian Pipins
- Science and Solutions for a Changing Planet DTP, Grantham Institute, Imperial College London, London, SW7 2AZ, UK
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
- On the Edge, London, SW3 2JJ, UK
| | | | - Samuel T Turvey
- Institute of Zoology, Zoological Society of London, London, NW1 4RY, UK
| | - Walter Jetz
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511, USA
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, 06511, USA
| | | | - James Rosindell
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
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Orlandi KN, Phillips SR, Sailer ZR, Harman JL, Harms MJ. Topiary: Pruning the manual labor from ancestral sequence reconstruction. Protein Sci 2023; 32:e4551. [PMID: 36565302 PMCID: PMC9847077 DOI: 10.1002/pro.4551] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/14/2022] [Accepted: 12/17/2022] [Indexed: 12/25/2022]
Abstract
Ancestral sequence reconstruction (ASR) is a powerful tool to study the evolution of proteins and thus gain deep insight into the relationships among protein sequence, structure, and function. A major barrier to its broad use is the complexity of the task: it requires multiple software packages, complex file manipulations, and expert phylogenetic knowledge. Here we introduce topiary, a software pipeline that aims to overcome this barrier. To use topiary, users prepare a spreadsheet with a handful of sequences. Topiary then: (1) Infers the taxonomic scope for the ASR study and finds relevant sequences by BLAST; (2) Does taxonomically informed sequence quality control and redundancy reduction; (3) Constructs a multiple sequence alignment; (4) Generates a maximum-likelihood gene tree; (5) Reconciles the gene tree to the species tree; (6) Reconstructs ancestral amino acid sequences; and (7) Determines branch supports. The pipeline returns annotated evolutionary trees, spreadsheets with sequences, and graphical summaries of ancestor quality. This is achieved by integrating modern phylogenetics software (Muscle5, RAxML-NG, GeneRax, and PastML) with online databases (NCBI and the Open Tree of Life). In this paper, we introduce non-expert readers to the steps required for ASR, describe the specific design choices made in topiary, provide a detailed protocol for users, and then validate the pipeline using datasets from a broad collection of protein families. Topiary is freely available for download: https://github.com/harmslab/topiary.
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Affiliation(s)
- Kona N. Orlandi
- Institute of Molecular BiologyUniversity of OregonEugeneOregonUSA
- Department of BiologyUniversity of OregonEugeneOregonUSA
| | - Sophia R. Phillips
- Institute of Molecular BiologyUniversity of OregonEugeneOregonUSA
- Department of Chemistry and BiochemistryUniversity of OregonEugeneOregonUSA
| | - Zachary R. Sailer
- Institute of Molecular BiologyUniversity of OregonEugeneOregonUSA
- Department of Chemistry and BiochemistryUniversity of OregonEugeneOregonUSA
| | - Joseph L. Harman
- Institute of Molecular BiologyUniversity of OregonEugeneOregonUSA
- Department of Chemistry and BiochemistryUniversity of OregonEugeneOregonUSA
| | - Michael J. Harms
- Institute of Molecular BiologyUniversity of OregonEugeneOregonUSA
- Department of Chemistry and BiochemistryUniversity of OregonEugeneOregonUSA
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