環境DNAを用いた野外水生昆虫・珪藻群集の分析と農薬の生態影響評価への応用
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| Published in | 環境毒性学会誌 Vol. 27; no. 1; pp. 32 - 45 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
日本環境毒性学会
14.05.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1344-0667 1882-5958 |
| DOI | 10.11403/jset.27.32 |
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| Author | 横山, 淳史 永井, 孝志 稲生, 圭哉 |
|---|---|
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| Copyright | 2024 日本環境毒性学会 |
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| References | 22) 環境省（2017）水生生物による水質評価法マニュアル—日本版平均スコア法 28) Wood, J., Mitrovic, S. M., Lim, R. P., Warne, M. J., Dunlop, J., Kefford, B. J. (2019) Benthic diatoms as indicators of herbicide toxicity in rivers—A new SPEcies At Risk (SPEARherbicides) index. Ecological Indicators, 99, 203–213. 16) Kelly, M. G., Juggins, S., Mann, D. G., Sato, S., Glover, R., Boonham, N., Sapp, M., Lewis, E., Hany, U., Kille, P., Jones, T., Walsh, K. (2020) Development of a novel metric for evaluating diatom assemblages in rivers using DNA metabarcoding. Ecological Indicators, 118, 106725. 6) de Zwart, D. (2005) Ecological effects of pesticide use in the Netherlands: modeled and observed effects in the field ditch. Integrated Environmental Assessment and Management, 1(2), 123–134. 21) Pérez-Burillo, J., Trobajo, R., Vasselon, V., Rimet, F., Bouchez, A., Mann, D. G. (2020) Evaluation and sensitivity analysis of diatom DNA metabarcoding for WFD bioassessment of Mediterranean rivers. The Science of the Total Environment, 727, 138445. 7) 永井孝志，稲生圭哉，横山淳史（2023）種の感受性分布による除草剤のリスク評価と河川生態調査による付着珪藻への影響評価との比較．環境毒性学会誌，26, 15–24. 1) Nagai, T. (2016) Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields. Journal of Pesticide Science, 41(1), 6–14. 4) 谷地俊二，永井孝志，稲生圭哉（2017）全国350の流量観測地点を対象とした水田使用農薬の河川水中予測濃度の地域特異性の解析．日本農薬学会誌，42(1), 1–9. 5) Nagai, T., Yachi, S., Inao, K. (2022) Temporal and regional variability of cumulative ecological risks of pesticides in Japanese river waters for 1990–2010. Journal of Pesticide Science, 47(1), 22–29. 13) Leray, M., Yang, J. Y., Meyer, C. P., Mills, S. C., Agudelo, N., Ranwez, V., Boehm, J. T., Machida, R. J. (2013) A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Frontiers in Zoology, 10(1), 34. 18) Peres-Neto, P. R., Legendre, P., Dray, S., Borcard, D. (2006) Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology, 87(10), 2614–2625. 27) 渡辺仁治（2005）淡水珪藻生態図鑑 群集解析に基づく汚濁指標DAIpo, pH耐性能．内田老鶴圃 29) 糠澤 桂，深川 柊，鈴木祥広（2020）高濁度水への環境DNA法の適用に向けたろ過・濃縮手法の基礎的検討．土木学会論文集G（環境），76(5), 19–26. 25) Beketov, M. A., Foit, K., Schäfer, R. B., Schriever, C. A., Sacchi, A., Capri, E., Biggs, J., Wells, C., Liess, M. (2009) SPEAR indicates pesticide effects in streams—Comparative use of species- and family-level biomonitoring data. Environmental Pollution, 157(6), 1841–1848. 35) Nagai, T. (2020) Sensitivity differences among five species of aquatic fungi and fungus-like organisms for seven fungicides with various modes of action. Journal of Pesticide Science, 45(4), 223–229. 23) U.S. EPA (1999) Rapid bioassessment protocols for use in wadeable streams and rivers. Periphyton, benthic macroinvertebrates, and fish. Second edition. 15) Wang, Y., Tian, R. M., Gao, Z. M., Bougouffa, S., Qian, P. Y. (2014) Optimal eukaryotic 18S and universal 16S/18S ribosomal RNA primers and their application in a study of symbiosis. PLoS One, 9(3), e90053. 32) Ramsey, D. S. L., Forsyth, D. M., Wright, E., McKay, M., Westbrooke, I. (2019) Using propensity scores for causal inference in ecology: Options, considerations, and a case study. Methods in Ecology and Evolution, 10(3), 320–331. 24) Liess, M., von der Ohe, P. C. (2005) Analyzing effects of pesticides on invertebrate communities in streams. Environmental Toxicology and Chemistry, 24(4), 954–965. 33) Liang, D., Wang, Q., Wei, N., Tang, C., Sun, X., Yang, Y. (2020) Biological indicators of ecological quality in typical urban river-lake ecosystems: The planktonic rotifer community and its response to environmental factors. Ecological Indicators, 112, 106127. 9) 環境省自然環境局生物多様性センター（2023）環境DNA分析技術を用いた淡水魚類調査手法の手引き第3版 12) 永井孝志（2020）天然付着珪藻群集に対する除草剤の影響と生物指標の適用可能性．環境毒性学会誌，23, 52–62. 26) Schäfer, R. B., Caquet, T., Siimes, K., Mueller, R., Lagadic, L., Liess, M. (2007) Effects of pesticides on community structure and ecosystem functions in agricultural streams of three biogeographical regions in Europe. The Science of the Total Environment, 382(2–3), 272–285. 17) Uchida, N., Kubota, K., Aita, S., Kazama, S. (2020) Aquatic insect community structure revealed by eDNA metabarcoding derives indices for environmental assessment. PeerJ, 8, e9176. 20) Rivera, S. F., Vasselon, V., Bouchez, A., Rimet, F. (2020) Diatom metabarcoding applied to large scale monitoring networks: optimization of bioinformatics strategies using Mothur software. Ecological Indicators, 109, 105775. 34) 猪木正三（1981）原生動物図鑑．講談社 19) 山本将也，川畑遼太（2022）環境DNAメタバーコーディングに基づく河北潟流域の魚類相（1）調整池及び大野川河口域．河北潟総合研究，25, 1–10. 14) Leese, F., Sander, M., Buchner, D., Elbrecht, V., Haase, P., Zizka, V. M. A. (2021) Improved freshwater macroinvertebrate detection from environmental DNA through minimized nontarget amplification. Environmental DNA, 3(1), 261–276. 10) Minamoto, T., Miya, M., Sado, T., Seino, S., Doi, H., Kondoh, M., Nakamura, K., Takahara, T., Yamamoto, S., Yamanaka, H., Araki, H., Iwasaki, W., Kasai, A., Masuda, R., Uchii, K. (2021) An illustrated manual for environmental DNA research: water sampling guidelines and experimental protocols. Environmental DNA, 3(1), 8–13. 31) 岩崎雄一，小林勇太，末森智美，竹下和貴，梁 政寛（2022）日本全国の河川における水質測定地点（環境基準点）の物理化学的特徴の整備とそれに基づくグルーピング．水環境学会誌，45, 231–237. 8) 土居秀幸，近藤倫生編（2021）環境DNA生態系の真の姿を読み解く．共立出版 2) Nagai, T. (2021) Ecological effect assessment by species sensitivity distribution for 38 pesticides with various modes of action. Journal of Pesticide Science, 46(4), 366–372. 3) 農研機構 農業環境変動研究センター（2018）複数農薬の累積的生態リスク評価ツール：NIAES-CERAP. 11) 国土交通省（2014）河川水辺の国勢調査のための生物リスト 平成26年度生物リスト 動植物プランクトン 30) 岩崎雄一（2016）生物群集の応答から金属の“安全”濃度を推定する：野外調査でできること．日本生態学会誌，66, 81–90. |
| References_xml | – reference: 21) Pérez-Burillo, J., Trobajo, R., Vasselon, V., Rimet, F., Bouchez, A., Mann, D. G. (2020) Evaluation and sensitivity analysis of diatom DNA metabarcoding for WFD bioassessment of Mediterranean rivers. The Science of the Total Environment, 727, 138445. – reference: 3) 農研機構 農業環境変動研究センター（2018）複数農薬の累積的生態リスク評価ツール：NIAES-CERAP. – reference: 4) 谷地俊二，永井孝志，稲生圭哉（2017）全国350の流量観測地点を対象とした水田使用農薬の河川水中予測濃度の地域特異性の解析．日本農薬学会誌，42(1), 1–9. – reference: 5) Nagai, T., Yachi, S., Inao, K. (2022) Temporal and regional variability of cumulative ecological risks of pesticides in Japanese river waters for 1990–2010. Journal of Pesticide Science, 47(1), 22–29. – reference: 16) Kelly, M. G., Juggins, S., Mann, D. G., Sato, S., Glover, R., Boonham, N., Sapp, M., Lewis, E., Hany, U., Kille, P., Jones, T., Walsh, K. (2020) Development of a novel metric for evaluating diatom assemblages in rivers using DNA metabarcoding. Ecological Indicators, 118, 106725. – reference: 25) Beketov, M. A., Foit, K., Schäfer, R. B., Schriever, C. A., Sacchi, A., Capri, E., Biggs, J., Wells, C., Liess, M. (2009) SPEAR indicates pesticide effects in streams—Comparative use of species- and family-level biomonitoring data. Environmental Pollution, 157(6), 1841–1848. – reference: 12) 永井孝志（2020）天然付着珪藻群集に対する除草剤の影響と生物指標の適用可能性．環境毒性学会誌，23, 52–62. – reference: 6) de Zwart, D. (2005) Ecological effects of pesticide use in the Netherlands: modeled and observed effects in the field ditch. Integrated Environmental Assessment and Management, 1(2), 123–134. – reference: 11) 国土交通省（2014）河川水辺の国勢調査のための生物リスト 平成26年度生物リスト 動植物プランクトン． – reference: 34) 猪木正三（1981）原生動物図鑑．講談社． – reference: 29) 糠澤 桂，深川 柊，鈴木祥広（2020）高濁度水への環境DNA法の適用に向けたろ過・濃縮手法の基礎的検討．土木学会論文集G（環境），76(5), 19–26. – reference: 35) Nagai, T. (2020) Sensitivity differences among five species of aquatic fungi and fungus-like organisms for seven fungicides with various modes of action. Journal of Pesticide Science, 45(4), 223–229. – reference: 9) 環境省自然環境局生物多様性センター（2023）環境DNA分析技術を用いた淡水魚類調査手法の手引き第3版． – reference: 32) Ramsey, D. S. L., Forsyth, D. M., Wright, E., McKay, M., Westbrooke, I. (2019) Using propensity scores for causal inference in ecology: Options, considerations, and a case study. Methods in Ecology and Evolution, 10(3), 320–331. – reference: 24) Liess, M., von der Ohe, P. C. (2005) Analyzing effects of pesticides on invertebrate communities in streams. Environmental Toxicology and Chemistry, 24(4), 954–965. – reference: 22) 環境省（2017）水生生物による水質評価法マニュアル—日本版平均スコア法． – reference: 33) Liang, D., Wang, Q., Wei, N., Tang, C., Sun, X., Yang, Y. (2020) Biological indicators of ecological quality in typical urban river-lake ecosystems: The planktonic rotifer community and its response to environmental factors. Ecological Indicators, 112, 106127. – reference: 20) Rivera, S. F., Vasselon, V., Bouchez, A., Rimet, F. (2020) Diatom metabarcoding applied to large scale monitoring networks: optimization of bioinformatics strategies using Mothur software. Ecological Indicators, 109, 105775. – reference: 27) 渡辺仁治（2005）淡水珪藻生態図鑑 群集解析に基づく汚濁指標DAIpo, pH耐性能．内田老鶴圃． – reference: 10) Minamoto, T., Miya, M., Sado, T., Seino, S., Doi, H., Kondoh, M., Nakamura, K., Takahara, T., Yamamoto, S., Yamanaka, H., Araki, H., Iwasaki, W., Kasai, A., Masuda, R., Uchii, K. (2021) An illustrated manual for environmental DNA research: water sampling guidelines and experimental protocols. Environmental DNA, 3(1), 8–13. – reference: 31) 岩崎雄一，小林勇太，末森智美，竹下和貴，梁 政寛（2022）日本全国の河川における水質測定地点（環境基準点）の物理化学的特徴の整備とそれに基づくグルーピング．水環境学会誌，45, 231–237. – reference: 13) Leray, M., Yang, J. Y., Meyer, C. P., Mills, S. C., Agudelo, N., Ranwez, V., Boehm, J. T., Machida, R. J. (2013) A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Frontiers in Zoology, 10(1), 34. – reference: 14) Leese, F., Sander, M., Buchner, D., Elbrecht, V., Haase, P., Zizka, V. M. A. (2021) Improved freshwater macroinvertebrate detection from environmental DNA through minimized nontarget amplification. Environmental DNA, 3(1), 261–276. – reference: 7) 永井孝志，稲生圭哉，横山淳史（2023）種の感受性分布による除草剤のリスク評価と河川生態調査による付着珪藻への影響評価との比較．環境毒性学会誌，26, 15–24. – reference: 8) 土居秀幸，近藤倫生編（2021）環境DNA生態系の真の姿を読み解く．共立出版． – reference: 15) Wang, Y., Tian, R. M., Gao, Z. M., Bougouffa, S., Qian, P. Y. (2014) Optimal eukaryotic 18S and universal 16S/18S ribosomal RNA primers and their application in a study of symbiosis. PLoS One, 9(3), e90053. – reference: 17) Uchida, N., Kubota, K., Aita, S., Kazama, S. (2020) Aquatic insect community structure revealed by eDNA metabarcoding derives indices for environmental assessment. PeerJ, 8, e9176. – reference: 28) Wood, J., Mitrovic, S. M., Lim, R. P., Warne, M. J., Dunlop, J., Kefford, B. J. (2019) Benthic diatoms as indicators of herbicide toxicity in rivers—A new SPEcies At Risk (SPEARherbicides) index. Ecological Indicators, 99, 203–213. – reference: 18) Peres-Neto, P. R., Legendre, P., Dray, S., Borcard, D. (2006) Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology, 87(10), 2614–2625. – reference: 2) Nagai, T. (2021) Ecological effect assessment by species sensitivity distribution for 38 pesticides with various modes of action. Journal of Pesticide Science, 46(4), 366–372. – reference: 1) Nagai, T. (2016) Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields. Journal of Pesticide Science, 41(1), 6–14. – reference: 23) U.S. EPA (1999) Rapid bioassessment protocols for use in wadeable streams and rivers. Periphyton, benthic macroinvertebrates, and fish. Second edition. – reference: 19) 山本将也，川畑遼太（2022）環境DNAメタバーコーディングに基づく河北潟流域の魚類相（1）調整池及び大野川河口域．河北潟総合研究，25, 1–10. – reference: 26) Schäfer, R. B., Caquet, T., Siimes, K., Mueller, R., Lagadic, L., Liess, M. (2007) Effects of pesticides on community structure and ecosystem functions in agricultural streams of three biogeographical regions in Europe. The Science of the Total Environment, 382(2–3), 272–285. – reference: 30) 岩崎雄一（2016）生物群集の応答から金属の“安全”濃度を推定する：野外調査でできること．日本生態学会誌，66, 81–90. |
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| Title | 環境DNAを用いた野外水生昆虫・珪藻群集の分析と農薬の生態影響評価への応用 |
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