請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85397
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 何傳愷(Chuan-Kai Ho) | |
dc.contributor.advisor | 何傳愷(Chuan-Kai Ho | ckho@ntu.edu.tw | ), | |
dc.contributor.author | Jo-Shih Chiu | en |
dc.contributor.author | 邱楉蒔 | zh_TW |
dc.date.accessioned | 2023-03-19T23:16:07Z | - |
dc.date.copyright | 2022-09-30 | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-09-26 | |
dc.identifier.citation | 1.Thompson, P.L., M.M. MacLennan, and R.D. Vinebrooke, An improved null model for assessing the net effects of multiple stressors on communities. Global Change Biology, 2018. 24(1): p. 517-525. 2.Matassa, C.M. and G.C. Trussell, Effects of predation risk across a latitudinal temperature gradient. Oecologia, 2015. 177(3): p. 775-784. 3.Thakur, M.P., et al., Warming magnifies predation and reduces prey coexistence in a model litter arthropod system. Proceedings of the Royal Society B: Biological Sciences, 2017. 284(1851): p. 20162570. 4.Tseng, M. and M.I. O'Connor, Predators modify the evolutionary response of prey to temperature change. Biology Letters, 2015. 11(12): p. 20150798. 5.Cuenca-Cambronero, M., et al., Evolutionary mechanisms underpinning fitness response to multiple stressors in Daphnia. Evolutionary Applications, 2021. 14(10): p. 2457-2469. 6.Segner, H., M. Schmitt-Jansen, and S. Sabater, Assessing the Impact of Multiple Stressors on Aquatic Biota: The Receptor’s Side Matters. Environmental Science & Technology, 2014. 48(14): p. 7690-7696. 7.Whitman, D. and A. Agrawal, What is Phenotypic Plasticity and Why is it Important? Phenotypic plasticity of insects, 2009. 8.Shama, L.N.S., The mean and variance of climate change in the oceans: hidden evolutionary potential under stochastic environmental variability in marine sticklebacks. Sci Rep, 2017. 7(1): p. 8889. 9.Ghalambor, C.K., et al., Adaptive versus non-adaptive phenotypic plasticity and the potential for contemporary adaptation in new environments. Functional Ecology, 2007. 21(3): p. 394-407. 10.Bonamour, S., et al., Phenotypic plasticity in response to climate change: the importance of cue variation. Philosophical Transactions of the Royal Society B: Biological Sciences, 2019. 374(1768): p. 20180178. 11.Mooney, K. and A. Agrawal, Phenotypic Plasticity. 2008. p. 43-57. 12.Wadgymar, S.M., R.M. Mactavish, and J.T. Anderson, Transgenerational and Within-Generation Plasticity in Response to Climate Change: Insights from a Manipulative Field Experiment across an Elevational Gradient. The American Naturalist, 2018. 192(6): p. 698-714. 13.Herman, J.J., et al., How Stable ‘Should’ Epigenetic Modifications Be? Insights From Adaptive Plasticity and Bet Hedging. Evolution, 2014. 68(3): p. 632-643. 14.Shama, L.N.S., et al., Transgenerational plasticity in marine sticklebacks: maternal effects mediate impacts of a warming ocean. Functional Ecology, 2014. 28(6): p. 1482-1493. 15.Herrel, A., D. Joly, and E. Danchin, Epigenetics in ecology and evolution. Functional Ecology, 2020. 34(2): p. 381-384. 16.Wootton, R.J., The evolution of life histories: Theory and analysis. Reviews in Fish Biology and Fisheries, 1993. 3(4): p. 384-385. 17.Sha, Y., S.V.M. Tesson, and L.-A. Hansson, Diverging responses to threats across generations in zooplankton. Ecology, 2020. 101(11): p. e03145. 18.Hayden, M.T., K.D. Holmes, and L.M. Arcila Hernández, Multigenerational consequences of aphid size on offspring phenotype and reproduction. Entomologia Experimentalis et Applicata, 2021. 169(10): p. 947-958. 19.Crain, C.M., K. Kroeker, and B.S. Halpern, Interactive and cumulative effects of multiple human stressors in marine systems. Ecol Lett, 2008. 11(12): p. 1304-15. 20.Shama, L.N.S. and K.M. Wegner, Grandparental effects in marine sticklebacks: transgenerational plasticity across multiple generations. Journal of Evolutionary Biology, 2014. 27(11): p. 2297-2307. 21.Salinas, S. and S.B. Munch, Thermal legacies: transgenerational effects of temperature on growth in a vertebrate. Ecol Lett, 2012. 15(2): p. 159-63. 22.Lenski, R.E. and M. Travisano, Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations. Proceedings of the National Academy of Sciences, 1994. 91(15): p. 6808-6814. 23.Johnson, M.S., et al., Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations. eLife, 2021. 10: p. e63910. 24.Donelson, J.M., et al., Transgenerational plasticity and climate change experiments: Where do we go from here? Global Change Biology, 2018. 24(1): p. 13-34. 25.Leroi, A.M., A.F. Bennett, and R.E. Lenski, Temperature acclimation and competitive fitness: an experimental test of the beneficial acclimation assumption. Proceedings of the National Academy of Sciences, 1994. 91(5): p. 1917-1921. 26.Whittle, C.A., et al., Adaptive epigenetic memory of ancestral temperature regime in Arabidopsis thalianaThis paper is one of a selection of papers published in a Special Issue from the National Research Council of Canada – Plant Biotechnology Institute. Botany, 2009. 87(6): p. 650-657. 27.Schade, F.M., C. Clemmesen, and K. Mathias Wegner, Within- and transgenerational effects of ocean acidification on life history of marine three-spined stickleback (Gasterosteus aculeatus). Marine Biology, 2014. 161(7): p. 1667-1676. 28.Brady, S.P., et al., Causes of maladaptation. Evolutionary Applications, 2019. 12(7): p. 1229-1242. 29.Sentis, A., et al., Evolution without standing genetic variation: change in transgenerational plastic response under persistent predation pressure. Heredity, 2018. 121(3): p. 266-281. 30.Catullo, R.A., et al., The Potential for Rapid Evolution under Anthropogenic Climate Change. Current Biology, 2019. 29(19): p. R996-R1007. 31.Srinivasan, D.G. and J.A. Brisson, Aphids: a model for polyphenism and epigenetics. Genetics research international, 2012. 2012: p. 431531-431531. 32.IPCC, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2014: p. 151 pp. 33.Schwarz, T. and T. Frank, Aphid feeding by lady beetles: higher consumption at higher temperature. BioControl, 2019. 64(3): p. 323-332. 34.Akaike, H., A new look at the statistical model identification. IEEE Transactions on Automatic Control, 1974. 19(6): p. 716-723. 35.R Core Team, R: A language and environment for statistical computing. Vienna, Austria. Available at: https://www.R-project.org/. 2018. 36.Bates, D., et al., Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 2015. 67(1): p. 1 - 48. 37.Lenth, R., Least-Squares Means: The R Package lsmeans. Journal of Statistical Software, 2016. 69. 38.Honěk, A., Intraspecific Variation in Body Size and Fecundity in Insects: A General Relationship. Oikos, 1993. 66(3): p. 483-492. 39.Gardner, J.L., et al., Declining body size: a third universal response to warming? Trends in Ecology & Evolution, 2011. 26(6): p. 285-291. 40.Abrams, P.A. and L. Rowe, The effects of predation on the age and size of maturity of prey. Evolution, 1996. 50(3): p. 1052-1061. 41.Orr, J.A., et al., Rapid evolution generates synergism between multiple stressors: Linking theory and an evolution experiment. Global Change Biology, 2022. 28(5): p. 1740-1752. 42.Atkinson, D., Temperature and organism size-A biological law for ectotherms? Advances in Ecological Research 25: 1. Res., 1994. 25. 43.Wang, Y.-J., T. Nakazawa, and C.-K. Ho, Warming impact on herbivore population composition affects top-down control by predators. Scientific Reports, 2017. 7(1): p. 941. 44.Heyworth, E.R., M.R. Smee, and J. Ferrari, Aphid Facultative Symbionts Aid Recovery of Their Obligate Symbiont and Their Host After Heat Stress. Frontiers in Ecology and Evolution, 2020. 8. 45.Sentis, A., J.L. Hemptinne, and J. Brodeur, Non-additive effects of simulated heat waves and predators on prey phenotype and transgenerational phenotypic plasticity. Glob Chang Biol, 2017. 23(11): p. 4598-4608. 46.Roff, D., Optimizing development time in a seasonal environment: The ‘ups and downs’ of clinal variation. Oecologia, 1980. 45(2): p. 202-208. 47.Beckerman, A.P., G.M. Rodgers, and S.R. Dennis, The reaction norm of size and age at maturity under multiple predator risk. J Anim Ecol, 2010. 79(5): p. 1069-76. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85397 | - |
dc.description.abstract | 在個體適應環境變遷的過程中,生物性與非生物性壓力扮演了重要的角色;過去壓力所引發的反應,可能透過跨世代的可塑性進而影響個體對新環境的適應性,最後影響所在的生態系統。過去雖有相關研究,但多為針對單一壓力對個體的影響,或僅觀察少數世代的可塑性,缺乏探討在多個壓力交互作用下的個體反應,以及在經歷多個世代後個體的表現。為回答以上問題,本研究利用跨世代實驗,檢視大豆蚜在暖化和/或天敵壓力下的可塑性反應,以及該反應是否能持續作用並影響大豆蚜對新環境的適應。本研究使用一隻雌性蚜蟲進行無性生殖,以產生實驗用的蚜蟲族群,並從中取 30隻四齡蚜蟲置於大豆植株,使其接受以下其中一種實驗處理:控制組、暖化組(+2 °C)、天敵組(加入一隻六條瓢蟲)、暖化+天敵組。七天後(以此為一世代),本研究將 30 隻四齡蚜蟲移至新的大豆上,並使其接受原處理。16世代後,本研究進行4x4交叉試驗,以了解跨世代可塑性是否可維持效果並影響蚜蟲對後續壓力的反應。跨世代實驗結果顯示,暖化會讓蚜蟲體型下降,但大約從第10世代起便停止下降。瓢蟲的存在會使蚜蟲族群數量下降,但僅在同時接受暖化處理的情況下於後期停止下降,並有回升趨勢,顯示在多世代的觀察下,暖化與天敵壓力會透過交互作用進而影響蚜蟲。交叉試驗結果顯示,過去曾長期接受天敵處理的蚜蟲具有適應天敵的性狀,但只有在同時接受暖化處理的情況下才有此現象;此結果顯示跨世代可塑性可以延續並影響蚜蟲對後續壓力的反應,但此效果需視壓力種類而定。綜合以上結果,本研究彰顯出生物性與非生物性等多個壓力因子之交互作用會顯著地影響物種的跨世代可塑性,且過去經驗與新環境之間的交互作用亦會影響個體的性狀表現。本研究建議後續關於相關機制的探討,以幫助精確地預測個體對環境變動的適應性。 | zh_TW |
dc.description.abstract | Stressor plays an important role in driving organisms’ adaptation to the changing world. Stress-induced effects may affect organisms’ responses to future stressors through transgenerational plasticity and lead to significant impact on ecosystems. However, it remains unclear how multiple stressors may interact and whether the effect of previous stressors will affect that of current stressors. To fill these knowledge gaps, this study investigated evolutionary responses of soybean aphids to warming temperature and predation stressors using an experimental evolution approach. A single founder aphid was used to form the stock through clonal multiplication, from which 30 fourth instar aphids were randomly collected and introduced to a soybean plant, then assigned to one of the four treatments: control, warming (+2 °C), predation (one adult lady beetle), and warming plus predation. After seven days (~ one generation), 30 fourth instar aphids from each plant were collected and transferred to a new plant, and submitted to the same treatment to which they had been exposed. The process was repeated for 16 generations, followed by a reciprocal transplant experiment with 4x4 full factorial design for three generations to test if transgenerational plasticity persists and thus mediates aphids’ responses to future stressors. We found that under warming temperature, whether predators were present or not, aphid body size reduced over generations and reached stabilization at around 10th generation onwards. The presence of ladybeetles reduced aphid population size over generations, but at warming conditions, such reduction became less obvious at later stage, suggesting an interaction between abiotic (temperature) and biotic (predation) stressors over generations. Aphids under consistent predation pressure over generations showed a plastic adaption when they were exposed to predators later in the reciprocal transplant experiment, but only when also exposed to warming at the same time. This suggested that transgenerational plasticity may persist but the effect may depend on future stressor. Overall, the results highlight the important effect of stressor interaction on species’ transgenerational plasticity, as well as the interactive effect between previous and current stressors. Further investigations on the underlying mechanisms should help us better forecast organisms’ adaptiveness to changing environment. | en |
dc.description.provenance | Made available in DSpace on 2023-03-19T23:16:07Z (GMT). No. of bitstreams: 1 U0001-2609202209141400.pdf: 1705172 bytes, checksum: 4aaceaf151a48ee8c7276ac007caad9a (MD5) Previous issue date: 2022 | en |
dc.description.tableofcontents | CONTENTS 口試委員會審定書 # 誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS v LIST OF TABLES viii Chapter 1 Introduction 1 Chapter 2 Methods 5 2.1 Study system 5 2.2 Experimental design 6 2.2.1 Experimental selection 6 2.2.2 Life history traits of individual aphids before and after experimental selection 8 2.2.3 Reciprocal transplant experiment 9 2.3 Data analysis 9 Chapter 3 Results 12 3.1 Experimental selection: variation in aphid body size and population size 12 3.2 Changes in life history traits after experimental selection 14 3.3 Reciprocal transplant experiment: persistence and consequences of transgenerational plasticity 15 Chapter 4 Discussion 17 REFERENCE 22 LIST OF FIGURES Figure 1. Experimental design. The study consists of an experimental selection (16 generations) to examine transgenerational plasticity in response to warming temperature and predation stressors, and a reciprocal transplant experiment (3 generations) to test for persistence of transgenerational plasticity and its effect on aphid performance in new environment. 27 Figure 2. Aphid body size across 16 generations (mean ± SE) in experimental selection, with control (in black), predator (in grey), warming (in red) and warming plus predator (in orange) treatments. 28 Figure 3. Aphid population size across 16 generations (mean ± SE) in experimental selection, with control (in black), predator (in grey), warming (in red) and warming plus predator (in orange) treatments 29 Figure 4. Relationship between aphid body size and population size at (A) early stage of experimental selection (generation 1 – 10) and (B) later stage of experimental selection (generation 11 – 16), with control (in black), predator (in grey), warming (in red) and warming plus predator (in orange) treatments. Each datapoint represents an experimental line. 30 Figure 5. Interactive effect of reciprocal transplant temperature (assay control and assay warming) and selection temperature (control and warming) on population size (mean ± SE), aphids were exposed to control (in black) or warming (in red) treatment during experimental selection. 31 Figure 6. Interactive effect of reciprocal transplant temperature (A: assay control; B: assay warming), reciprocal transplant predation (predator absence and presence), and selection predation (predator absence and presence) on population size (mean ± SE), aphids were selected without predator (in black) or with predator (in grey) during experimental selection. 32 LIST OF TABLES Table 1. Results of ANOVA of aphid body size and population size in response to warming temperature and predation stressors during experimental selection. 33 Table 2. Results of ANOVA of aphid life history traits after generation 15. 34 Table 3. Results of ANOVA of aphid body size and population size in response to warming temperature and predation stressors during reciprocal transplant experiment. 35 Table 4. Pairwise comparison of slopes of fitted lines of body size- population size relationship of early stage (generation 1-10) and later stage (generation 11-16). 36 | |
dc.language.iso | en | |
dc.title | 溫度與天敵壓力之互動透過跨世代可塑性對被掠食者之影響 | zh_TW |
dc.title | Temperature and predation stressors interactively shape response of prey via transgenerational plasticity | en |
dc.type | Thesis | |
dc.date.schoolyear | 110-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李承叡(Cheng- Ruei Lee),曾惠芸(Hui-Yun Tseng),王弘毅(Hurng-Yi Wang) | |
dc.subject.keyword | 暖化,天敵,跨世代可塑性,蚜蟲,瓢蟲, | zh_TW |
dc.subject.keyword | Warming,Predator,Transgenerational plasticity,Aphid,Lady beetle, | en |
dc.relation.page | 36 | |
dc.identifier.doi | 10.6342/NTU202204043 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2022-09-27 | |
dc.contributor.author-college | 生命科學院 | zh_TW |
dc.contributor.author-dept | 生態學與演化生物學研究所 | zh_TW |
dc.date.embargo-lift | 2022-09-30 | - |
顯示於系所單位: | 生態學與演化生物學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
U0001-2609202209141400.pdf | 1.67 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。