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Johnston MA, Waite ES, Wright ER, Reily BH, De Leon GJ, Esquivel AI, Kerwin J, Salazar M, Sarmiento E, Thiatmaja T, Lee S, Yule K, Franz N. Insect collecting bias in Arizona with a preliminary checklist of the beetles from the Sand Tank Mountains. Biodivers Data J 2023; 11:e101960. [PMID: 37427371 PMCID: PMC10323768 DOI: 10.3897/bdj.11.e101960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/15/2023] [Indexed: 07/11/2023] Open
Abstract
Background The State of Arizona in the south-western United States supports a high diversity of insects. Digitised occurrence records, especially from preserved specimens in natural history collections, are an important and growing resource to understand biodiversity and biogeography. Underlying bias in how insects are collected and what that means for interpreting patterns of insect diversity is largely untested. To explore the effects of insect collecting bias in Arizona, the State was regionalised into specific areas. First, the entire State was divided into broad biogeographic areas by ecoregion. Second, the 81 tallest mountain ranges were mapped on to the State. The distribution of digitised records across these areas were then examined.A case study of surveying the beetles (Insecta, Coleoptera) of the Sand Tank Mountains is presented. The Sand Tanks are a low-elevation range in the Lower Colorado River Basin subregion of the Sonoran Desert from which a single beetle record was published before this study. New information The number of occurrence records and collecting events are very unevenly distributed throughout Arizona and do not strongly correlate with the geographic size of areas. Species richness is estimated for regions in Arizona using rarefaction and extrapolation. Digitised records from the disproportionately highly collected areas in Arizona represent at best 70% the total insect diversity within them. We report a total of 141 species of Coleoptera from the Sand Tank Mountains, based on 914 digitised voucher specimens. These specimens add important new records for taxa that were previously unavailable in digitised data and highlight important biogeographic ranges.Possible underlying mechanisms causing bias are discussed and recommendations are made for future targeted collecting of under-sampled regions. Insect species diversity is apparently at best 70% documented for the State of Arizona with many thousands of species not yet recorded. The Chiricahua Mountains are the most densely sampled region of Arizona and likely contain at least 2,000 species not yet vouchered in online data. Preliminary estimates for species richness of Arizona are at least 21,000 and likely much higher. Limitations to analyses are discussed which highlight the strong need for more insect occurrence data.
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Affiliation(s)
- M. Andrew Johnston
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Evan S. Waite
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Ethan R Wright
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Brian H. Reily
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Gilma Juanita De Leon
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Angela Iran Esquivel
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Jacob Kerwin
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Maria Salazar
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Emiliano Sarmiento
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Tommy Thiatmaja
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Sangmi Lee
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Kelsey Yule
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
| | - Nico Franz
- Biodiversity Knowledge Integration Center, Arizona State University, Tempe, AZ, United States of AmericaBiodiversity Knowledge Integration Center, Arizona State UniversityTempe, AZUnited States of America
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Kitzes J, Blake R, Bombaci S, Chapman M, Duran SM, Huang T, Joseph MB, Lapp S, Marconi S, Oestreich WK, Rhinehart TA, Schweiger AK, Song Y, Surasinghe T, Yang D, Yule K. Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches. Ecosphere 2021. [DOI: 10.1002/ecs2.3795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Justin Kitzes
- Department of Biological Sciences University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Rachael Blake
- National Socio‐Environmental Synthesis Center Annapolis Maryland USA
| | - Sara Bombaci
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA
| | - Melissa Chapman
- Department of Environmental Science, Policy, and Management University of California Berkeley Berkeley California USA
| | - Sandra M. Duran
- Department of Ecology & Evolutionary Biology The University of Arizona Tucson Arizona USA
| | - Tao Huang
- Human‐Environment Systems Boise State University Boise Idaho USA
| | - Maxwell B. Joseph
- Earth Lab Cooperative Institute for Research in Environmental Sciences (CIRES) University of Colorado Boulder Boulder Colorado USA
| | - Samuel Lapp
- Department of Biological Sciences University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Sergio Marconi
- Department of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA
| | | | - Tessa A. Rhinehart
- Department of Biological Sciences University of Pittsburgh Pittsburgh Pennsylvania USA
| | | | - Yiluan Song
- Environmental Studies Department University of California Santa Cruz California USA
| | - Thilina Surasinghe
- Department of Biological Sciences Bridgewater State University Bridgewater Massachusetts USA
| | - Di Yang
- Wyoming Geographic Information Science Center (WyGISC) University of Wyoming Laramie Wyoming USA
| | - Kelsey Yule
- National Ecological Observatory Network Biorepository Arizona State University Tempe Arizona USA
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Johnson CA, Smith GP, Yule K, Davidowitz G, Bronstein JL, Ferrière R. Coevolutionary transitions from antagonism to mutualism explained by the Co-Opted Antagonist Hypothesis. Nat Commun 2021; 12:2867. [PMID: 34001894 PMCID: PMC8129128 DOI: 10.1038/s41467-021-23177-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 04/07/2021] [Indexed: 11/13/2022] Open
Abstract
There is now good evidence that many mutualisms evolved from antagonism; why or how, however, remains unclear. We advance the Co-Opted Antagonist (COA) Hypothesis as a general mechanism explaining evolutionary transitions from antagonism to mutualism. COA involves an eco-coevolutionary process whereby natural selection favors co-option of an antagonist to perform a beneficial function and the interacting species coevolve a suite of phenotypic traits that drive the interaction from antagonism to mutualism. To evaluate the COA hypothesis, we present a generalized eco-coevolutionary framework of evolutionary transitions from antagonism to mutualism and develop a data-based, fully ecologically-parameterized model of a small community in which a lepidopteran insect pollinates some of its larval host plant species. More generally, our theory helps to reconcile several major challenges concerning the mechanisms of mutualism evolution, such as how mutualisms evolve without extremely tight host fidelity (vertical transmission) and how ecological context influences evolutionary outcomes, and vice-versa. While there is strong evidence that many mutualisms evolved from antagonism, how or why remains unclear. A study combining theory and a data-based model sheds light on how mutualisms evolve without extremely tight host fidelity and how ecological context affects evolutionary outcomes and vice-versa.
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Affiliation(s)
- Christopher A Johnson
- Dept. of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ, USA. .,Institute of Integrative Biology, ETH Zürich, Universitäetstrasse 16, Zürich, Switzerland. .,Dept. of Ecology and Evolutionary Biology, Princeton University, 106a Guyot Hall, Princeton, NJ, USA.
| | - Gordon P Smith
- Dept. of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ, USA.,Dept. of Neurobiology and Behavior, Cornell University, 215 Tower Road, Ithaca, NY, USA
| | - Kelsey Yule
- Dept. of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ, USA.,Biodiversity Knowledge Integration Center, Arizona State University, 734W Alameda Drive, Tempe, AZ, USA
| | - Goggy Davidowitz
- Dept. of Entomology, University of Arizona, 1140 E. South Campus Dr., Tucson, AZ, USA
| | - Judith L Bronstein
- Dept. of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ, USA
| | - Régis Ferrière
- Dept. of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ, USA.,Institut de Biologie de l'ENS (IBENS), École Normale Supérieure CNRS UMR 8197, 46 rue d'Ulm, Paris, France.,iGLOBES International Research Laboratory, École Normale Supérieure, Université Paris Sciences & Lettres CNRS UMI 3157, University of Arizona, 845N Park Avenue, Tucson, AZ, USA
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Dorscheid DR, Wojcik KR, Yule K, White SR. Role of cell surface glycosylation in mediating repair of human airway epithelial cell monolayers. Am J Physiol Lung Cell Mol Physiol 2001; 281:L982-92. [PMID: 11557602 DOI: 10.1152/ajplung.2001.281.4.l982] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Our laboratory recently demonstrated the pattern of cell surface glycosylation of nonsecretory central airway epithelium (Dorscheid DR, Conforti AE, Hamann KJ, Rabe KF, and White SR. Histochem J 31: 145-151, 1999), but the role of glycosylation in airway epithelial cell migration and repair is unknown. We examined the functional role of cell surface carbohydrates in wound repair after mechanical injury of 1HAEo(-) human airway epithelial and primary bronchial epithelial monolayers. Wound repair stimulated by epidermal growth factor was substantially attenuated by 10(-7) M tunicamycin (TM), an N-glycosylation inhibitor, but not by the inhibitors deoxymannojirimycin or castanospermine. Wound repair of 1HAEo(-) and primary airway epithelial cells was blocked completely by removal of cell surface terminal fucose residues by alpha-fucosidase. Cell adhesion to collagen matrix was prevented by TM but was only reduced ~20% from control values with prior alpha-fucosidase treatment. Cell migration in Blind Well chambers stimulated by epidermal growth factor was blocked by pretreatment with TM but alpha-fucosidase pretreatment produced no difference from control values. These data suggest that cell surface N-glycosylation has a functional role in airway epithelial cell adhesion and migration and that N-glycosylation with terminal fucosylation plays a role in the complex process of repair by coordination of certain cell-cell functions.
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Affiliation(s)
- D R Dorscheid
- McDonald Research Laboratory, University of British Columbia, Vancouver, British Columbia V6Z 1Y6, Canada.
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