Forthcoming

Investigating the relationship between haplotype diversity of Asia minor spiny mouse (Acomys cilicicus) and environmental factors

Authors

  • Banu Özdemirel Middle East Technical University, Department of Biological Sciences, Ankara, Turkey
  • Ortaç Çetintaş Bulent Ecevit University, Arts and Science Faculty, Department of Biology, Zonguldak, Turkey
  • Mustafa Sözen Bulent Ecevit University, Arts and Science Faculty, Department of Biology, Zonguldak, Turkey
  • Muhsin Çoğal Bulent Ecevit University, Arts and Science Faculty, Department of Biology, Zonguldak, Turkey
  • Faruk Çolak Bulent Ecevit University, Arts and Science Faculty, Department of Biology, Zonguldak, Turkey
  • Ferhat Matur Dokuz Eylül University, Faculty of Science, Department of Biology, Buca, Izmir, Turkey

DOI:

https://doi.org/10.5281/zenodo.6569494

Keywords:

Acomys cilicicus, environmental factors, haplotype diversity, geographically weighted regression, species conservation

Abstract

Species conservation is at the center of biodiversity conservation. However, it is not enough for today's enormous environmental changes. Biodiversity conservation needs more sophisticated and holistic approaches rather than a simple descriptive approach. Understanding complicated ecological relations and the genetic makeup of a species should therefore be part of conservation studies. In the study, we aimed to identify the Acomys cilicicus' haplotype diversity for CYTB, GHR, and RAG2 genes and to explore spatial relationships between environmental factors and haplotype diversity of each gene. The spatial distribution pattern of haplotype diversity of genes was estimated using the Geographically weighted regression (GWR) model and Inverse Distance Weighted (IDW) interpolation, respectively. Moreover, the Monte Carlo permutation test was applied to reveal the relationship pattern between environmental predictors and haplotype diversity through local coefficient estimates. As a result, a logistic prediction map of the GWR model was obtained to indicate the distribution of haplotype diversity of genes. Outputs also showed considerable spatial variability in local coefficients estimates with the negative or positive association, and it was understood that the distribution pattern of haplotype diversity is delineated accordingly. In that context, it was concluded that local fluctuations of environmental conditions might negatively affect the haplotype diversity of genes, thus decreasing the species' adaptability to environmental changes. Outputs of the study are valuable to support the conservation efforts of the target species and can be a guide for species with similar characteristics.

References

Amori, G., Hutterer, R., Kryštufek, B., & Yigit, N. (2008). The IUCN Red List of Threatened Species. 2008: e.T264A13050432.

Barrett, R. D. H., & Schluter, D. (2008). Adaptation from standing genetic variation. Trends in Ecology and Evolution, 23: 38–44.

Blanga-Kanf, S., Miranda, H., & Penn, O. (2009). Rodent phylogeny revised: analysis of six nuclear genes from all major rodent clades. BMC Ecology and Evolution, 9:71 doi:10.1186/1471-2148-9-71.

Boyy, G., Hendriks, R. J. J., Smulders, M. J. M., Van Groenendael, J. M., & Vosman, B. (2000). Genetic Diversity and the Survival of Populations. Plant Biology, 2(4): 379-395.

Brunsdon, C. A., Fotheringham, A. S., & Charlton, M. E. (1996). Geographically weighted regression: a method for exploring spatial nonstationary. Geographical Analysis, 28: 281-298.

Buckley, L. B., & Jetz, W. (2008). Linking global turnover of species and environments. PNAS 105(46): 17836-17841.

Çetintaş, O., Matur, F., & Sözen, M. (2017). Distribution and conservation of Acomys cilicicus (Mammalia: Rodentia) in Turkey. Turkish Journal of Zoology, 41(6): 1059–1068.

Fotheringham, A. S., Brunsdon, C. A., & Charlton, M. E. (2000). Quantitative geography: Perspective on Spatial Data Analysis. SAGE publications, London, pp 270.

Fotheringham, A. S., Brunsdon, C. A., & Charlton, M. E. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationship. John Wiley & Sons, New York, pp 269.

Fourcade, Y., Engler, J. O., Rödder, D., & Secondi, J. (2014). Mapping Species Distribution with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias. PLoS One, 9(5): e97122.

Frankham, R. (2005). Genetics and extinction. Biological Conservation, 126: 131–140.

Grime, J. P. (1997). Biodiversity and ecosystem function: the debate deepens. Science, 277: 1260–1261.

Heywood, J. S. (1991). Spatial Analysis of Genetic Variation in Plant Populations. Annual Review of Ecology and Systematics, 22: 335-355.

Irwin, D. M., Kocher, T. D., & Wilson, A. C. (1991). Evolution of the Cytochrome b Gene of Mammals. Journal of Molecular Evolution, 32: 128-144.

Jump, A. S., Marchant, R., & Peñuelas, J. (2009). Environmental change and the option value of genetic diversity. Trends in Plant Science, 14 (1): 51-58.

Librado, P., & Rozas, J. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25(11): 1451-1452.

Lu, G.Y., & Wong, D.W. (2008). An adaptive inverse-distance weighting spatial interpolation technique. Computers and Geosciences, 34: 1044-1055.

Musser, G. G., & Carleton, M. D. (2005). "Superfamily Muroidea". In Wilson, D. E., Reeder, D. M., Mammal Species of the World: A Taxonomic and Geographic Reference (3rd ed.), Johns Hopkins University Press, ISBN 978-0-8018-8221-0. OCLC 62265494, pp 894–1531.

Neel, M. C., & Ellstrand, N. C. (2003). Conservation of genetic diversity in the endangered plant Eriogonum ovalifolium var. vineum (Polygonaceae). Conservation Genetics, 4: 337–352.

Oostermeijer, J. G. B., Luijten, S. H., & den Nijs, J. C. M. (2003). Integrating demographic and genetic approaches in plant conservation. Biological Conseration, 113: 389–398.

Prentis, P. J., Wilson, J. R. U., Dormontt, E.E., Richardson, D. M., & Lowe A. J. (2008). Adaptive evolution in invasive species. Trends in Plant Science, 13: 288–294.

Ramanatha, R. V., & Hodgkin, T. (2002). Genetic diversity and conservation and utilization of plant genetic resources. Plant Cell, Tissue and Organ Culture, 68: 1–19.

Shi, H., Laurent, E. J., LeBouton, J., Racevskis, L., Hall, K. R., Donovan, M., Doepker, R. V., Walters, M. B., Lupi, F., & Liu, J. (2006). Local spatial modelling of white-tailed deer distribution. Ecological Modelling, 190(1-2): 171-189.

Templeton, A. R., & Read, B. (1994). Inbreeding: one word, several meanings, much confusion, In Conservation genetics, (Loeschcke, V., Tomiuk, J., and Jain, S. K., eds.), Basel: Birkhäuser Verlag, pp. 91–105.

Tilman, D., Knops, J. D., Wedin, P., Reich, M., Ritchie, E., & Siemann, E. (1997). The influence of functional diversity and composition on ecosystem processes. Science, 277: 1300–1302.

Virgilio, G. D., Laffan, S. W., Ebach, M. C., & Chapple, D. G. (2014). Spatial variation in the climatic predictors of species compositional turnover and endemism. Ecology and Evolution, 4(16): 3264–3278.

Wang, I. J., & Bradburd, G. S. (2014). Isolation by environment. Molecular Ecology, 23(23): 5649–5662.

Wu, Z., Yu, D., Li, X., & Xu, X. (2016). Influence of geography and environment on patterns of genetic differentiation in a widespread submerged macrophyte, Eurasian watermilfoil (Myriophyllum spicatum L., Haloragaceae). Ecology and Evolution, 6(2): 460-468.

Downloads

Published

2022-05-21

How to Cite

Özdemirel, B., Çetintaş , O. ., Sözen, M. ., Çoğal, M. ., Çolak, F. ., & Matur, F. . (2022). Investigating the relationship between haplotype diversity of Asia minor spiny mouse (Acomys cilicicus) and environmental factors. Journal of Wildlife and Biodiversity, 6(X). https://doi.org/10.5281/zenodo.6569494

Issue

Section

Original Article