Fluctuating asymmetry as an indicator of Ecological stress and Developmental instability of Neurothemis ramburii (Odonata: Libellulidae) in Iligan City, Philippines

Paper Details

Research Paper 01/03/2016
Views (250) Download (11)
current_issue_feature_image
publication_file

Fluctuating asymmetry as an indicator of Ecological stress and Developmental instability of Neurothemis ramburii (Odonata: Libellulidae) in Iligan City, Philippines

Michelle M. Barbon, Jazzie D'Zeim Arreza, Sharon Rose M. Tabugo
J. Bio. Env. Sci.8( 3), 142-152, March 2016.
Certificate: JBES 2016 [Generate Certificate]

Abstract

Odonata species are often used for biomonitoring purposes are often influenced by environmental instability in diverse ways. The degree of developmental stability of individuals and populations is most often estimated by their level of fluctuating asymmetry (FA). FA refers to a slight number and nondirectional deviations from strict bilateral symmetry of biological objects that occur as a result of stochastic microscopic processes. In this study, analysis was done on eurytopic species Neurothemis ramburii. Specifically, it investigated the differences in fluctuating asymmetry (right and left wing) of three populations from different barangays (Dalipuga, Pugaan and Buruun) Iligan City, Mindanao, Philippines. It determined developmental stability via fluctuating symmetry and used FA as an indicator of stress. Analysis was based on Procrustes Method and makes comparison of FA indices of homologous points. Using landmark method for shape asymmetry, anatomical landmarks were used and analyzed using Symmetry and Asymmetry in Geometric Data (SAGE) program. Procrustes ANOVA and Principal Component Analysis (PCA) results showed considerable variation and significant evidence of FA for all populations with relatively high FA for more disturbed areas (Pugaan and Dalipuga). Significant FA may present inability of species to buffer against endogenous and exogenous stress in its developmental pathways hence, would mean developmental instability. Directional asymmetry (DA) was also significant in all populations. A significant FA and DA suggest that stress and variation could be a product of genotype-environment interaction. Awareness and understanding of adaptation and survival of Odonata species as biological indicators for wetland assessment is essential

VIEWS 28

Badyaev AV, Foresman KR, Fernandes MV. 2000. Stress and Developmental Stability: Vegetation Removal Caused Increased in Fluctuating Asymmetry in Shrews. Ecology 81, 336-345.

Bonada N, Vives S, Rieradevall  M,  Prat N. 2005. Relationship between pollution and fluctuating asymmetry in the pollution-tolerant caddisfly Hydropsyche exocellata (Trichoptera, Insecta). Archiv für Hydrobiologie 162, 167-185.

Cairns  J,  McCornick  PV,  Niederlehner  BR. 1993. A proposed framework for developing indicators of ecosystem health. Hydrobiologia 263, 1-44.

Carchini G, Chiarotti F, Domenico M, Mattoccia M, Paganotti G. 2001. Fluctuating asymmetry, mating success, body size and heterozygosity in Coenagrion scitulum (Rambur) (Odonata:Coenagrionidae). Animal Behaviour 61, 661–669.

Carpentero ER, Tabugo SRM. 2014 Determining Developmental Instability via Fluctuating Asymmetry in the shell shape of Arctica islándica Linn. 1767 (ocean quahog). European Journal of Zoological Research 3, 1-7.

Chang X, Zhaia B, Liu X, Wang M. 2007. Effects of temperature stress and pesticide exposure on fluctuating asymmetry and mortality of Copera annulata (selys) (Odonata: Zygoptera) larvae. Ecotoxicology and Environmental Safety 67, 120-127.

Clarke GM. 1993. Fluctuating asymmetry of invertebrate populations as a biological indicator of environmental quality. Environmental Pollution 82, 207–211.

Clarke GM. 1995. Relationships between developmental stability and fitness: application for conservation biology. Conservation Biology 9, 18-24.

Clarke GM, McKenzie LJ. 1992. Fluctuating asymmetry as a quality control indicator for insect mass rearing processes. Journal of Economical Entomology 85, 2045-2050.

Ducos MB, Tabugo SR. 2014. Fluctuating asymmetry as an indicator of ecological stress and developmental instability of Gafrarium tumidum (ribbed venus clam) from Maak and Lagoon Camiguin Island, Philipines. AACL Bioflux 7, 516-523.

Gangestad SW, Thornhill R. 1999. Individual differences in developmental precision and fluctuating asymmetry: a model and its implications. Journal of Evolutionary Biology 12, 402–416.

Graham JH, Raz S, Hagit H, Nevo E. 2010. Fluctuating Asymmetry: Methods, Theory and Applications. Symmetry 2, 466-495.

Hermita Z, Gorospe J, Torres M, Lumasag G, Demayo C. 2013. Fluctuating Asymmetry In The Body Shape Of The Mottled Spinefoot Fish, Siganus fuscescens (Houttuyn, 1782) Collected From Different Bays In Mindanao Island, Philippines. Science International 25, 857-861.

Ho´dar J. 2002. Leaf fluctuating asymmetry of Holm oak in response to drought under contrasting climatic conditions. Journal of Arid Environments 52, 233–243.

Klingenberg CP, McIntyre GS, Zaklan SD. 1998. Left-right asymmetry of fly wings and the evolution of body axes. Proceedings of the Royal Society of London B Biological Sciences 265,1255– 1259.

Kutcher TE, Bried JT. 2014. Adult Odonata conservatism as an indicator of freshwater wetland condition Ecological Indicators 38, 31-39.

Leary RF, Allendorf FW. 1989. Fluctuating asymmetry as an indicator of stress: implications for conservation biology. Trends in Ecology and Evolution 4, 214–217.

Lens L, Dongen VS, Kark S, Matthysen E. 2002. Fluctuating asymmetry as an indicator of fitness: can we bridge the gap between studies? Biological Reviews 77, 27-38.

Leung B, Forbes MR. 1996. Fluctuating asymmetry in relation to stress and fitness: effect of trait type as revealed by meta-analysis. Ecoscience 3, 400-413.

Markow TA. 1995. Evolutionary ecology and developmental instability. Annual Review of Entomology 40, 105-120.

Marquez E. 2006. Sage: symmetry and asymmetry in geometric data. Ver 1.04. Michigan: University of Michigan Museum of Zoology, 1-7.

Mayr E. 1963. Animal species and evolution. Cambridge, MA: Harvard University Press, 797.

McAdams HH, Arkin A. 1999. It’s a noisy business! Genetic regulation at the nanomolecular scale. Trends in Genetics 15, 65-69.

Merila J, Bjorklund M. 1995. Fluctuating asymmetry and measurement error. Systematics Biology 44, 97-101.

Mpho M, Holloway GJ, Callaghan A. 2000. The effect of larval density on life history and wing asymmetry in the mosquito Culex pipiens. Bulletin of Entomological Research 90, 279-283.

Moller AP. 1997. Developmental stability and fitness:a review. American Naturalist. 149, 916-932.

Moller AP, Thornhill R. 1998. Bilateral symmetry and sexual selection: a meta-analysis. American Naturalist. 151, 174-192.

Orbita M, Gumban N. 2013. Investigation of the community structure of seagrasses in the coastal areas of Iligan City,Mindanao, Philippines. AAB Bioflux 5, 140-151.

Palmer RA. 1994. Fluctuating asymmetry analysis: a primer. In: MarkowTA (ed.) Developmental Instability:Its Origins and Evolutionary Implications. London: Kluwer Academic, 335–364.

Palmer AC, Strobeck C. 1986. Fluctuating asymmetry – measurement, analysis, patterns. Annual Review of Ecology and Systematics 17, 391-421.

Palmer AR, Strobeck C. 2003. Fluctuating asymmetry analyses revisited. In: Polak M, Ed. Developmental Instability: causes and consequences. New York, USA: University Press, 279-280.

Parsons PA. 1990. Fluctuating asymmetry: an epigenetic measure of stress. Biological Reviews 65, 131–145.

Parsons PA. 1992. Fluctuating asymmetry: a biological monitor of environmental and genomic stress. Heredity 68, 361–364.

Pinto N, Juen L, Cabette H, De Marco P Jr. 2012. Fluctuating asymmetry and wing size of Argia tinctipennis Selys (Zygoptera: Coenagrionidae) in relation to riparian forest preservation status. Neotropical Entomlogy 41, 178-85.

Reeve ECR. 1960. Some genetic tests on asymmetry of sternopleural chaetae number in Drosophila. Genetical Research 1, 151-172.

Ryazanova G, Polygalov A. 2013. Fluctuating asymmetry of wing venation in damselflies Ischnura elegans (V.d. Lind.) (Odonata, Coenagrionidae) and prospects of its use as a biological indicator of ecological quality of fresh-water reservoirs. Moscow University Biological Sciences Bulletin 68, 195-199.

Samuels ML, Casella G, McCabe GP. 1991. Interpreting blocks and random factors: rejoiner. Journal of the American Statistical Association 86, 798-808.

Samways MJ, Steytler NS. 1996. Dragonfly (Odonata) distribution patterns in urban and forest landscapes, and recommendations for riparian management Biological Conservation 78, 279-288.

Tabugo SR, Casas PA, Pareño MT, Peñaredondo MA. 2015. Fluctuating Asymmetry and Developmental Instability in the Wings of Neurothemis terminata as Bioindicator of Stress. Advances in Environmental Biology 9, 10-17.

Tataro SM, Tabugo SRM. 2015. Population Analysis via fluctuating asymmetry in the wings of Culex quinquefasciatus Say from selected breeding sites in Iligan City, Philippines. Journal of Biodiversity and Environmental Sciences 7, 109-118.

Tennessen KJ. 2009. Odonata: Dragonflies, Damselflies. In: Resh VH, Cardé RT, Eds. Encyclopedia of Insects (Second Edition). MA, USA: Academic Press, 721-72.

Waddington CH. 1942. Canalization of development and the inheritance of acquired characters. Nature 150, 563-565.

Ware J, May M, Kjer K. 2007. Phylogeny of the higher Libelluloidea (Anisoptera: Odonata): An exploration of the most speciose superfamily of dragonflies. Molecular Phylogenetics and Evolution 45, 289-310.