본문 바로가기
KERD
논문KCI 등재

Mitochondrial COI sequence-based population genetic analysis of the grasshopper, Patanga japonica Bolívar, 1898 (Acrididae: Orthoptera), which is a climate-sensitive indicator species in South Korea

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Patanga japonica Bolívar, 1898 (Orthoptera: Acrididae) is listed as a climate-sensitive indicator species in South Korea and is called southern group of insects in that the main distributional range is southern region of South Korea and Asian continent. In South Korea, thus, the species was distributed mainly in southern region of South Korea including southward a remote Jeju Island, but recently the species has often been detected in mid to northern region of South Korea, implying northward range expansion in response to climate change. Understanding the characteristics of the changes in genetic diversity during range expansion in response to climate change could be a foundation for the understanding of future biodiversity. Thus, in this study, we attempted to understand the changing pattern of the genetic diversity of the P. japonica in newly expanded regions. For the purpose of study, we collected 125 individuals from seven localities throughout South Korea including two newly distributed regions (Pyeongtaek and Yeongwol at ~37° N). These were sequenced for a segment of mitochondrial cytochrome oxidase subunit I (COI) and analyzed for genetic diversity, haplotype frequency, and population genetic structure among populations. Interestingly, northward range expansion accompanied only haplotypes, which are most abundant in the core populations, providing a significant reduction in haplotype diversity, compared to other populations. Moreover, genetic diversity was still lower in the expanded regions, but no genetic isolation was detected. These results suggest that further longer time would take to reach to the comparable genetic diversity of preexisting populations in the expanded regions. Probably, availability of qualified habitats at the newly expanded region could be pivotal for successful northward range expansion in response to climate change.

Abstract

Patanga japonica Bolívar, 1898 (Orthoptera: Acrididae) is listed as a climate-sensitive indicator species in South Korea and is called southern group of insects in that the main distributional range is southern region of South Korea and Asian continent. In South Korea, thus, the species was distributed mainly in southern region of South Korea including southward a remote Jeju Island, but recently the species has often been detected in mid to northern region of South Korea, implying northward range expansion in response to climate change. Understanding the characteristics of the changes in genetic diversity during range expansion in response to climate change could be a foundation for the understanding of future biodiversity. Thus, in this study, we attempted to understand the changing pattern of the genetic diversity of the P. japonica in newly expanded regions. For the purpose of study, we collected 125 individuals from seven localities throughout South Korea including two newly distributed regions (Pyeongtaek and Yeongwol at ~37° N). These were sequenced for a segment of mitochondrial cytochrome oxidase subunit I (COI) and analyzed for genetic diversity, haplotype frequency, and population genetic structure among populations. Interestingly, northward range expansion accompanied only haplotypes, which are most abundant in the core populations, providing a significant reduction in haplotype diversity, compared to other populations. Moreover, genetic diversity was still lower in the expanded regions, but no genetic isolation was detected. These results suggest that further longer time would take to reach to the comparable genetic diversity of preexisting populations in the expanded regions. Probably, availability of qualified habitats at the newly expanded region could be pivotal for successful northward range expansion in response to climate change.

참고문헌 (55)

  1. ADHIKARI PRADEEP, "Northward Range Expansion of Southern Butterflies According to Climate Change in South Korea", 한국기후변화학회지, 11(6), pp.643~656 (2020), 한국기후변화학회[DOI]
  2. Bandelt HJ, "Median-joining networks for inferring intraspecific phylogenies", Mol Biol Evol, 16, pp.37~48 (1999)[DOI]
  3. Barton NH, "Genetic hitchhiking", Phil Trans R Soc Lond B, 355, pp.1553~1562 (2000)[DOI]
  4. Beaumont MA, "Identifying adaptive genetic divergence among populations from genome scans", Mol Ecol, 13, pp.969~980 (2004)[DOI]
  5. Bohonak AJ, "IBD(Isolation by Distance) : a program for analyses of isolation by distance", J Hered, 93, pp.153~154 (2002)[DOI]
  6. Canale CI, "Adaptive phenotypic plasticity and resilience of vertebrates to increasing climatic unpredictability", Clim Res, 43, pp.135~147 (2010)[DOI]
  7. "Orthoptera Species File" (2022)[URL]
  8. Corander J, "Bayesian analysis of population structure based on linked molecular information", Math Biosci, 205, pp.19~31 (2007)[DOI]
  9. Excoffier L, "Arlequin suite ver 3. 5 : a new series of programs to perform population genetics analyses under Linux and Windows", Mol Ecol Resour, 10, pp.564~567 (2010)[DOI]
  10. Excoffier L, "Analysis of molecular variance inferred from metric distances among DNA haplotype : application to human mitochondrial DNA restriction date", Genetics, 131, pp.479~491 (1992)[DOI]
  11. Frankham R, "Conservation genetics", Annu Rev Genet, 29, pp.305~327 (1995)
  12. Frankham R, "Relationship of genetic variation to population size in wildlife", Conserv Biol, 10, pp.1500~1508 (1996)[DOI]
  13. Hoffmann AA, "Climate change and evolutionary adaptation", Nature, 470, pp.479~485 (2011)[DOI]
  14. Jo YS, "Genetic differentiation of the Korean striped field mouse, Apodemus agrarius(Muridae, Rodentia), based on microsatellite polymorphism", Mammalia, 81, pp.297~307 (2017)[DOI]
  15. Kimura M, "A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences", J Mol Evol, 16, pp.111~120 (1980)[DOI]
  16. Lanfear R, "Population size and the rate of evolution", Trends Ecol Evol, 29, pp.33~41 (2014)[DOI]
  17. Lee SC, "Mitochondrial DNA sequence-based population genetic structure of the firefly, Pyrocoelia rufa(Coleoptera : Lampyridae)", Biochem Genet, 41, pp.427~452 (2003)[DOI]
  18. Lee YS, "Genetic diversity and phylogeography of Siberian roe deer, Caproulus pygargus, in central and peripheral populations", Ecol Evol, 6, pp.7286~7297 (2016)[DOI]
  19. Lourenço-de-Moraes R, "Climate change will decrease the range size of snake species under negligible protection in the Brazilian Atlantic Forest hotspot", Sci Rep, 9, pp.8523~ (2019)[DOI]
  20. Maggini R, "Are Swiss birds tracking climate change? : Detecting elevational shifts using response curve shapes", Ecol Model, 222, pp.21~32 (2011)[DOI]
  21. Mantel N, "Detection of disease clustering and generalized regression approach", Cancer Res, 27, pp.209~220 (1967)
  22. McCain CM, "Climate change and elevational range shifts in insects", Curr Opin Insect Sci, 47, pp.111~118 (2021)[DOI]
  23. McInerny GJ, "How range shifts induced by climate change affect neutral evolution", Proc R Soc B, 276, pp.1527~1534 (2009)[DOI]
  24. Miller MA, "Creating the CIPRES Science Gateway for Inference of large phylogenetic trees", Proc Gateway Computing Environments Workshop (GCE), pp.1~8 (2010), IEEE
  25. Nam SH, "The insects of Korea" (1996), Kyohaksa
  26. "List of 100climatesensitive biological indicator species and 30 candidate species" (2017)[URL]
  27. Nei M, "Molecular Evolutionary Genetics" (1987), Columbia University Press
  28. Neigel JE, "Application of a random walk model to geographic distributions of animal mitochondrial DNA variation", Genetics, 135, pp.1209~1220 (1993)[DOI]
  29. Ohshima K, "The history of straits around the Japanese Islands in the Late-Quarternary", Quat Res, 29, pp.193~208 (1990)[DOI]
  30. Park YA, "Continental shelf sedimentation", pp.406~426 (1988), Kyohaksa
  31. Park Y, "Population genetic structure of Bemisia tabaci MED(Hemiptera : Aleyrodidae)in Korea", PLoS One, 14, pp.e0220327~ (2019)
  32. Posada D, "MODELTEST : Testing the model of DNA substitution", Bioinformatics, 14, pp.817~818 (1998)[DOI]
  33. Rambaut A, "Posterior summarization in Bayesian phylogenetics using Tracer 1. 7", Syst Biol, 67, pp.901~904 (2018)[DOI]
  34. Rödder D, "Climate change drives mountain butterflies towards the summits", Sci Rep, 11, pp.1~12 (2021)[DOI]
  35. Ronquist F, "MrBayes 3. 2 : Efficient Bayesian phylogenetic inference and model choice across a large model space", Syst Biol, 61, pp.539~542 (2012)[DOI]
  36. Distribution maps of climate-sensitive biological indicator species observed and recorded by the Korea biodiversity observation network, "Shin S", National Institute of Biological Resources, ~ (2022)
  37. Sievers F, "Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega", Mol Syst Biol, 7, pp.539~ (2011)[DOI]
  38. Song H, "Phylogeny of locusts and grasshoppers reveals complex evolution of densitydependent phenotypic plasticity", Sci Rep, 7, pp.6606~ (2017)[DOI]
  39. Song H, "Evolution, diversification, and biogeography of grasshoppers(Orthoptera : Acrididae)", Insect Syst and Divers, 2, pp.3~ (2018)[DOI]
  40. Stefanescu C, "Recent trends in butterfly populations from north-east Spain and Andorra in the light of habitat and climate change", J Insect Conserv, 15, pp.83~93 (2011)[DOI]
  41. Swaegers J, "Rapid range expansion increases genetic differentiation while causing limited reduction in genetic diversity in a damselfly", Heredity, 111, pp.422~429 (2013)[DOI]
  42. Swofford DL, "PAUP* Phylogenetic analysis using parsimony (*and other method) version 4. 10", Sinauer Associates, ~ (2002)
  43. Tanaka S, "Life cycles, diapause and developmental characteristics in subtropical locusts, Nomadacris succincta and N. japonica(Orthoptera : Acrididae)", Jpn J Entomol, 64, pp.189~201 (1996)
  44. Templeton AR, "Nested clade analyses of phylogeographic data : testing hypotheses about gene flow and population history", Mol Ecol, 7, pp.381~397 (1998)[DOI]
  45. The Galaxy Community, "The Galaxy platform for accessible, reproducible and collaborative biomedical analyses : 2022 update", Nucleic Acids Res, 50, pp.W345~W351 (2022)
  46. Thomas CD, "Extinction risk from climate change", Nature, 427, pp.145~148 (2004)[DOI]
  47. Thomas CD, "Range retractions and extinction in the face of climate warming", Trends Ecol Evol, 21, pp.415~416 (2006)[DOI]
  48. Trifinopoulos J, "W-IQTREE : A fast online phylogenetic tool for maximum likelihood analysis", Nucleic Acids Res, 44, pp.W232~W235 (2016)[DOI]
  49. Urban MC, "Accelerating extinction risk from climate change", Science, 348, pp.571~573 (2015)[DOI]
  50. Vandewoestijne S, "Population genetic differences along a latitudinal cline between original and recently colonized habitat in a butterfly", PLoS One, 5, pp.e13810~ (2010)[DOI]
  51. Watterson GA, "Is the most frequent allele the oldest?", Theor Popul Biol, 11, pp.141~160 (1977)[DOI]
  52. Wilson RJ, "An elevational shift in butterfly species richness and composition accompanying recent climate change", Glob Change Biol, 13, pp.1873~1887 (2007)[DOI]
  53. Woolbright SA, "Climate relicts and their associated communities as natural ecology and evolution laboratories", Trends Ecol Evol, 29, pp.406~416 (2014)[DOI]
  54. Wright S, "Evolution and the genetic of population, variability within and among natural populations", pp.213~220 (1978), University of Chicago Press
  55. Zografou K, "Species traits affect phenological responses to climate change in a butterfly community", Sci Rep, 11, pp.1~14 (2021)[DOI]

관련 논문AI추천

Population genetics of the blackish cicada, Cryptotympana atrata (Cicadidae: Hemiptera), a climate-sensitive indicator insect in South Korea, using mitochondrial gene sequences김성수, 김익수, 박정선, 정헌천, 표지영한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2025 · 제49권 제4호Population genetic study of the common bluetail, Ischnura senegalensis (Odonata: Coenagrionidae), a climate-sensitive indicator species in South Korea, based on mitochondrial DNA sequences김성수, 김익수, 박민우, 박정선, 표지영한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2025 · 제49권 제3호Population genetic analysis of Salurnis marginella (Hemiptera: Flatidae)김민지, 김익수, 박정선, 이건희, 이원훈, 정나라, 정수연, 정준성, 최현석한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2021 · 제43권 제2호Geographic Genetic Contour of a Ground Beetle, Scarites aterrimus (Coleoptera: Carabidae) on the Basis of Mitochondrial DNA Sequence김민지, 김익수, Ah Rha Wang, Xinlong Wan, Young Bok Cho한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2011 · 제22권 제2호Field monitoring and population genetic analysis of the dragon swallowtail Sericinus montela (Lepidoptera: Papilionidae), a vulnerable species in South KoreaHeon Cheon JEONG, Iksoo Kim, Jee-Young Pyo, Jeong Sun Park, Seung-Hyun Lee, Sung-Soo Kim한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2024 · 제48권 제3호COII Sequence-based Study for Population Genetic Variation of a Ground Beetle, Scarites aterrimus (Coleoptera: Carabidae)김익수, Ah Rha Wang한국잠사학회 · International Journal of Industrial Entomology and Biomaterials2012 · 제24권 제1호

이 간행물의 다른 논문 (8건)