Phylogenetic signal of sub‐arctic beetle communities
Abstract Postglacial dispersal and colonization processes have shaped community patterns in sub‐Arctic regions such as Churchill, Manitoba, and Canada. This study investigates evolutionary community structure within the beetle (Coleoptera) families of Churchill and tests whether biological traits ha...
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| Format: | Article |
| Language: | English |
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Wiley
2022-02-01
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| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.8520 |
| _version_ | 1817979523941007360 |
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| author | Samantha E. Majoros Sarah J. Adamowicz |
| author_facet | Samantha E. Majoros Sarah J. Adamowicz |
| author_sort | Samantha E. Majoros |
| collection | DOAJ |
| description | Abstract Postglacial dispersal and colonization processes have shaped community patterns in sub‐Arctic regions such as Churchill, Manitoba, and Canada. This study investigates evolutionary community structure within the beetle (Coleoptera) families of Churchill and tests whether biological traits have played a role in governing colonization patterns from refugial and southerly geographic regions. This study quantifies sub‐Arctic beetle phylogenetic community structure for each family using the net relatedness index (NRI) and nearest taxon index (NTI), calculated using publicly available data from the Barcode of Life Data Systems (BOLD); compares patterns across families with different traits (habitat, diet) using standard statistical analysis (ANOVA) as well as phylogenetic generalized least squares (PGLS) using a family‐level beetle phylogeny obtained from the literature; and compares community structure in Churchill with a region in southern Canada (Guelph, Ontario). These analyses were also repeated at a genus level. The dominant pattern detected in our study was that aquatic families were much better represented in Churchill compared to terrestrial families, when compared against richness sampled from across Canada and Alaska. Individually, most families showed significant phylogenetic clustering in Churchill, likely due to the strong environmental filtering present in Arctic environments. There was no significant difference in phylogenetic structure between Churchill and Guelph but with a trend toward stronger clustering in the North. Fungivores were significantly more overdispersed than other feeding modes, predators were significantly more clustered, and aquatic families showed significantly stronger clustering compared to terrestrial. This study contributes to our understanding of the traits and processes structuring insect biodiversity and macroecological trends in the sub‐Arctic. |
| first_indexed | 2024-04-13T22:43:52Z |
| format | Article |
| id | doaj.art-92ec040cf6084a0b99767292a19822f4 |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-04-13T22:43:52Z |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-92ec040cf6084a0b99767292a19822f42022-12-22T02:26:30ZengWileyEcology and Evolution2045-77582022-02-01122n/an/a10.1002/ece3.8520Phylogenetic signal of sub‐arctic beetle communitiesSamantha E. Majoros0Sarah J. Adamowicz1Department of Integrative Biology University of Guelph Guelph ON CanadaDepartment of Integrative Biology University of Guelph Guelph ON CanadaAbstract Postglacial dispersal and colonization processes have shaped community patterns in sub‐Arctic regions such as Churchill, Manitoba, and Canada. This study investigates evolutionary community structure within the beetle (Coleoptera) families of Churchill and tests whether biological traits have played a role in governing colonization patterns from refugial and southerly geographic regions. This study quantifies sub‐Arctic beetle phylogenetic community structure for each family using the net relatedness index (NRI) and nearest taxon index (NTI), calculated using publicly available data from the Barcode of Life Data Systems (BOLD); compares patterns across families with different traits (habitat, diet) using standard statistical analysis (ANOVA) as well as phylogenetic generalized least squares (PGLS) using a family‐level beetle phylogeny obtained from the literature; and compares community structure in Churchill with a region in southern Canada (Guelph, Ontario). These analyses were also repeated at a genus level. The dominant pattern detected in our study was that aquatic families were much better represented in Churchill compared to terrestrial families, when compared against richness sampled from across Canada and Alaska. Individually, most families showed significant phylogenetic clustering in Churchill, likely due to the strong environmental filtering present in Arctic environments. There was no significant difference in phylogenetic structure between Churchill and Guelph but with a trend toward stronger clustering in the North. Fungivores were significantly more overdispersed than other feeding modes, predators were significantly more clustered, and aquatic families showed significantly stronger clustering compared to terrestrial. This study contributes to our understanding of the traits and processes structuring insect biodiversity and macroecological trends in the sub‐Arctic.https://doi.org/10.1002/ece3.8520ArcticbiogeographyDNA barcodingentomologyenvironmental filteringmacroecology |
| spellingShingle | Samantha E. Majoros Sarah J. Adamowicz Phylogenetic signal of sub‐arctic beetle communities Ecology and Evolution Arctic biogeography DNA barcoding entomology environmental filtering macroecology |
| title | Phylogenetic signal of sub‐arctic beetle communities |
| title_full | Phylogenetic signal of sub‐arctic beetle communities |
| title_fullStr | Phylogenetic signal of sub‐arctic beetle communities |
| title_full_unstemmed | Phylogenetic signal of sub‐arctic beetle communities |
| title_short | Phylogenetic signal of sub‐arctic beetle communities |
| title_sort | phylogenetic signal of sub arctic beetle communities |
| topic | Arctic biogeography DNA barcoding entomology environmental filtering macroecology |
| url | https://doi.org/10.1002/ece3.8520 |
| work_keys_str_mv | AT samanthaemajoros phylogeneticsignalofsubarcticbeetlecommunities AT sarahjadamowicz phylogeneticsignalofsubarcticbeetlecommunities |