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Wu J, Xu D, Wei X, Liao W, Li X, Zhuo Z. Characterization of the complete mitochondrial genome of the longhorn beetle, Batocerahorsfieldi (Coleoptera, Cerambycidae) and its phylogenetic analysis with suitable longhorn beetles. Zookeys 2023; 1168:387-402. [PMID: 37448482 PMCID: PMC10336557 DOI: 10.3897/zookeys.1168.105328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Mitochondrial genome analysis is an important tool for studying insect phylogenetics. The longhorn beetle, Batocerahorsfieldi, is a significant pest in timber, economic and protection forests. This study determined the mitochondrial genome of B.horsfieldi and compared it with the mitochondrial genomes of other Cerambycidae with the aim of exploring the phylogenetic status of the pest and the evolutionary relationships among some Cerambycidae subgroups. The complete mitochondrial genome of B.horsfieldi was sequenced by the Illumina HiSeq platform. The mitochondrial genome was aligned and compared with the existing mitochondrial genomes of Batoceralineolata and B.rubus in GenBank (MF521888, MW629558, OM161963, respectively). The secondary structure of transfer RNA (tRNA) was predicted using tRNAScan-SE server v.1.21 and MITOS WebSever. Thirteen protein-coding genes (PCGs) and two ribosomal RNA gene sequences of 21 longhorn beetles, including B.horsfieldi, plus two outgroups, Dryopsernesti (Dryopidae) and Heterocerusparallelus (Heteroceridae), were analyzed. The phylogenetic tree was constructed using maximum likelihood and Bayesian inference methods. In this study, we successfully obtained the complete mitochondrial genome of B.horsfieldi for the first time, which is 15 425 bp in length. It contains 37 genes and an A + T-rich region, arranged in the same order as the recognized ancestor of longhorn beetles. The genome of B.horsfieldi is composed of 33.12% A bases, 41.64% T bases, 12.08% C bases, and 13.16% G bases. The structure, nucleotide composition, and codon usage of the new mitochondrial genome are not significantly different from other longhorn mitochondrial genomes. Phylogenetic analyses revealed that Cerambycidae formed a highly supported single clade, and Vesperidae was either clustered with Cerambycidae or formed a separate clade. Interestingly, B.horsfieldi, B.rubus and B.lineolata were clustered with Monochamus and Anoplophora species in both analyses, with high node support. Additionally, the VesperidaeSpiniphilusspinicornis and Vesperussanzi and the 19 Cerambycidae species formed a sister clade in the Bayesian analysis. Our results have produced new complete mitogenomic data, which will provide information for future phylogenetic and taxonomic research, and provide a foundation for future relevant research.
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Affiliation(s)
- Junhao Wu
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
| | - Danping Xu
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
| | - Xinju Wei
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
| | - Wenkai Liao
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
| | - Xiushan Li
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
| | - Zhihang Zhuo
- College of Life Science, China West Normal University, Nanchong, 637002, China China West Normal University Nanchong China
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Pingcuo ZD, Basang WD, Zhang Q, Luosang DZ, Hua KJ, Dawa YL, Zhu YB, Ba D, Suolang DJ. Genetic Diversity and Phylogenetic Structures of Four Tibet Yak Populations Using CytB Gene Sequence of Mitochondrial DNA. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422030103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Genetic Diversity and Divergence among Bighorn Sheep from Reintroduced Herds in Washington and Idaho. J Wildl Manage 2021. [DOI: 10.1002/jwmg.22065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Spaan RS, Epps CW, Crowhurst R, Whittaker D, Cox M, Duarte A. Impact of Mycoplasma ovipneumoniae on juvenile bighorn sheep ( Ovis canadensis) survival in the northern Basin and Range ecosystem. PeerJ 2021; 9:e10710. [PMID: 33552728 PMCID: PMC7821761 DOI: 10.7717/peerj.10710] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/15/2020] [Indexed: 11/20/2022] Open
Abstract
Determining the demographic impacts of wildlife disease is complex because extrinsic and intrinsic drivers of survival, reproduction, body condition, and other factors that may interact with disease vary widely. Mycoplasma ovipneumoniae infection has been linked to persistent mortality in juvenile bighorn sheep (Ovis canadensis), although mortality appears to vary widely across subspecies, populations, and outbreaks. Hypotheses for that variation range from interactions with nutrition, population density, genetic variation in the pathogen, genetic variation in the host, and other factors. We investigated factors related to survival of juvenile bighorn sheep in reestablished populations in the northern Basin and Range ecosystem, managed as the formerly-recognized California subspecies (hereafter, "California lineage"). We investigated whether survival probability of 4-month juveniles would vary by (1) presence of M. ovipneumoniae-infected or exposed individuals in populations, (2) population genetic diversity, and (3) an index of forage suitability. We monitored 121 juveniles across a 3-year period in 13 populations in southeastern Oregon and northern Nevada. We observed each juvenile and GPS-collared mother semi-monthly and established 4-month capture histories for the juvenile to estimate survival. All collared adult females were PCR-tested at least once for M. ovipneumoniae infection. The presence of M. ovipneumoniae-infected juveniles was determined by observing juvenile behavior and PCR-testing dead juveniles. We used a known-fate model with different time effects to determine if the probability of survival to 4 months varied temporally or was influenced by disease or other factors. We detected dead juveniles infected with M. ovipneumoniae in only two populations. Derived juvenile survival probability at four months in populations where infected juveniles were not detected was more than 20 times higher. Detection of infected adults or adults with antibody levels suggesting prior exposure was less predictive of juvenile survival. Survival varied temporally but was not strongly influenced by population genetic diversity or nutrition, although genetic diversity within most study area populations was very low. We conclude that the presence of M. ovipneumoniae can cause extremely low juvenile survival probability in translocated bighorn populations of the California lineage, but found little influence that genetic diversity or nutrition affect juvenile survival. Yet, after the PCR+ adult female in one population died, subsequent observations found 11 of 14 ( 79%) collared adult females had surviving juveniles at 4-months, suggesting that targeted removals of infected adults should be evaluated as a management strategy.
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Affiliation(s)
- Robert S. Spaan
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Clinton W. Epps
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Rachel Crowhurst
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Donald Whittaker
- Oregon Department of Fish and Wildlife, Salem, OR, United States of America
| | - Mike Cox
- Nevada Department of Wildlife, Reno, NV, United States of America
| | - Adam Duarte
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
- Pacific Northwest Research Station, USDA Forest Service, Olympia, WA, United States of America
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Creech TG, Epps CW, Wehausen JD, Crowhurst RS, Jaeger JR, Longshore K, Holton B, Sloan WB, Monello RJ. Genetic and Environmental Indicators of Climate Change Vulnerability for Desert Bighorn Sheep. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Love Stowell SM, Gagne RB, McWhirter D, Edwards W, Ernest HB. Bighorn Sheep Genetic Structure in Wyoming Reflects Geography and Management. J Wildl Manage 2020. [DOI: 10.1002/jwmg.21882] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Sierra M. Love Stowell
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Roderick B. Gagne
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Doug McWhirter
- Wyoming Game and Fish DepartmentJackson Regional Office 420 N Cache St Jackson WY 830001 USA
| | - William Edwards
- Wyoming Game and Fish DepartmentWildlife Health Laboratory 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Holly B. Ernest
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
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Deakin S, Gorrell JC, Kneteman J, Hik DS, Jobin RM, Coltman DW. Spatial genetic structure of Rocky Mountain bighorn sheep (Ovis canadensis canadensis) at the northern limit of their native range. CAN J ZOOL 2020. [DOI: 10.1139/cjz-2019-0183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Canadian Rocky Mountains are one of the few places on Earth where the spatial genetic structure of wide-ranging species has been relatively unaffected by anthropogenic disturbance. We characterized the spatial genetic structure of Rocky Mountain bighorn sheep (Ovis canadensis canadensis Shaw, 1804) in the northern portion of their range. Using microsatellites from 1495 individuals and mitochondrial DNA sequences from 188 individuals, we examined both broad- and fine-scale spatial genetic structure, assessed sex-biased gene flow within the northern portion of the species range, and identified geographic patterns of genetic diversity. We found that broad-scale spatial genetic structure was consistent with barriers to movement created by major river valleys. The fine-scale spatial genetic structure was characterized by a strong isolation-by-distance pattern, and analysis of neighborhood size using spatial autocorrelation indicated gene flow frequently occurred over distances of up to 100 km. However, analysis of sex-specific spatial autocorrelation and analysis of mitochondrial haplotype distributions failed to detect any evidence of sex-biased gene flow. Finally, our analyses reveal decreasing genetic diversity with increasing latitude, consistent with patterns of post-glacial recolonization of the Rocky Mountains.
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Affiliation(s)
- Samuel Deakin
- Department of Biological Sciences, University of Alberta, CW 405, Biological Sciences Building, Edmonton, AB T6G 2E9, Canada
| | - Jamieson C. Gorrell
- Department of Biological Sciences, Vancouver Island University, 900 Fifth Street, Nanaimo, BC V9R 5S5, Canada
| | - Jeffery Kneteman
- Alberta Environment and Parks, 131 Civic Centre Road, Hinton, AB T7V 2E6, Canada
| | - David S. Hik
- Department of Biological Sciences, University of Alberta, CW 405, Biological Sciences Building, Edmonton, AB T6G 2E9, Canada; Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Richard M. Jobin
- Alberta Fish and Wildlife Enforcement Branch, 6909 – 116 Street, Edmonton, AB T6H 4P2, Canada
| | - David W. Coltman
- Department of Biological Sciences, University of Alberta, CW 405, Biological Sciences Building, Edmonton, AB T6G 2E9, Canada
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Blanchong JA, Robinson SJ, Samuel MD, Foster JT. Application of genetics and genomics to wildlife epidemiology. J Wildl Manage 2016. [DOI: 10.1002/jwmg.1064] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Julie A. Blanchong
- Department of Natural Resource Ecology and Management; Iowa State University; 339 Science II Ames IA 50011 USA
| | | | - Michael D. Samuel
- U.S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit; University of Wisconsin; 204 Russell Labs, 1630 Linden Dr. Madison WI 53706 USA
| | - Jeffrey T. Foster
- Department of Molecular, Cellular and Biomedical Sciences; University of New Hampshire; 291 Rudman Hall Durham NH 03824 USA
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