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Zhang YM, Egan SP, Driscoe AL, Ott JR. One hundred and sixty years of taxonomic confusion resolved: Belonocnema (Hymenoptera: Cynipidae: Cynipini) gall wasps associated with live oaks in the USA. Zool J Linn Soc 2021. [DOI: 10.1093/zoolinnean/zlab001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Gall wasps (Hymenoptera: Cynipidae) in the genus Belonocnema induce galls on live oaks (Quercus series Virentes), forming multilocular root galls in the sexual generation and unilocular leaf galls in the asexual generation. Using morphological characters, host records, museum specimens, flight propensity and phylogenetic analysis of published cytochrome c oxidase subunit I (COI) and nuclear SNP data, we resolve the long-standing taxonomic confusion within Belonocnema and recognize three distinct species that are distributed throughout the southern and south-eastern USA: B. fossoria (rev. stat.), B. kinseyi (rev. stat.) and B. treatae, while B. quercusvirens is treated as species inquirenda. The presence of mitonuclear discordance results in the failure of a mitochondrial DNA barcode region to distinguish between B. fossoria and B. treatae, while recognizing B. kinseyi, despite the three species being clearly separated based on morphology and phylogenetic analysis of SNP data. We provide re-descriptions and an updated dichotomous key for both asexual and sexual generations of these widespread species. Finally, as Belonocnema has emerged as a model organism for ecological and evolutionary studies, we clarify the species examined in published studies to date.
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Affiliation(s)
- Y Miles Zhang
- Systematic Entomology Laboratory, USDA-ARS, c/o National Museum of Natural History, Washington, DC, USA
| | - Scott P Egan
- Department of Biosciences, Rice University, Houston, TX, USA
| | - Amanda L Driscoe
- Department of Biology, Population and Conservation Biology Program, Texas State University, San Marcos, TX, USA
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - James R Ott
- Department of Biology, Population and Conservation Biology Program, Texas State University, San Marcos, TX, USA
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Reynolds RJ, de los Campos G, Egan SP, Ott JR. Modelling heterogeneity among fitness functions using random regression. Methods Ecol Evol 2016; 7:70-79. [PMID: 26949509 PMCID: PMC4776641 DOI: 10.1111/2041-210x.12440] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Summary
Statistical approaches for testing hypotheses of heterogeneity in fitness functions are needed to accommodate studies of phenotypic selection with repeated sampling across study units, populations or years. In this study, we tested directly for among‐population variation in complex fitness functions and demonstrate a new approach for locating the region of the trait distribution where variation in fitness and traits is greatest.
We modelled heterogeneity in fitness functions among populations by treating regression coefficients of fitness on traits as random variates. We applied random regression using two model specifications, (i) spline‐based curve and (ii) stepwise, to a 2‐year study of selection among 16 populations of the gall wasp, Belonocnema treatae. Log‐likelihood ratio tests of variance components and 10‐fold cross‐validation were used to assess the evidence that selection varied among populations.
Ten‐fold cross‐validation prediction error sums of squares (PSS) indicated that spline‐based fitness functions were population specific and that the strength of evidence for heterogeneity in selection differed between years. Hypothesis testing of variance components from both models was consistent with the PSS results. Both the stepwise model and the local prediction error estimates of spline‐based fitness functions identified the region(s) of the phenotype distribution harbouring the greatest heterogeneity among populations.
The adopted framework advances our understanding of phenotypic selection in natural populations by extending the analysis of spline‐based fitness functions to testing for heterogeneity among study units and isolating the regions of the phenotypic distribution where this variation is most pronounced.
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Affiliation(s)
- Richard J. Reynolds
- Department of Medicine, Division of Clinical Immunology and
Rheumatology, Department of Biostatistics, University of Alabama at Birmingham,
Birmingham, Alabama 35294; (205-975-9300)
| | - Gustavo de los Campos
- Departments of Epidemiology & Biostatistics, and Statistics,
Michigan State University, East Lansing, MI, 48824, (517-353-8623)
| | - Scott P. Egan
- Department of BioSciences, Rice University, Houston, Texas 77005;
(615-618-6601)
| | - James R. Ott
- Population and Conservation Biology Program, Department of Biology,
Texas State University, San Marcos, Texas 78666, (512-245-2321)
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