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\n  \n 2020\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Ion channel profiling of the Lymnaea stagnalis ganglia via transcriptome analysis.\n \n \n \n \n\n\n \n Dong, N; Bandura, J; Zhang, Z; Wang, Y; Labadie, K; Noel, B; Davison, A; Koene, J.; Sun, H.; Coutellec, M.; and Feng, Z.\n\n\n \n\n\n\n researchsquare.com, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"IonPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{pop00316,\nabstract = {{\\ldots} Background The pond snail Lymnaea stagnalis is a widely used model organism in neurobiology, development, ecotoxicology, and parasitology {\\ldots} neuroscience. Mutations in the genes encoding ion channels or encoding proteins that regulate the ion {\\ldots}},\nannote = {Query date: 2020-06-29 13:05:30},\nauthor = {Dong, N and Bandura, J and Zhang, Z and Wang, Y and Labadie, K and Noel, B and Davison, A and Koene, JM and Sun, HS and Coutellec, MA and Feng, ZP},\npublisher = {researchsquare.com},\ntitle = {{Ion channel profiling of the Lymnaea stagnalis ganglia via transcriptome analysis}},\ntype = {PDF},\nurl = {https://www.researchsquare.com/article/rs-31358/latest.pdf},\nyear = {2020}\n}\n
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\n … Background The pond snail Lymnaea stagnalis is a widely used model organism in neurobiology, development, ecotoxicology, and parasitology … neuroscience. Mutations in the genes encoding ion channels or encoding proteins that regulate the ion …\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Pyrosequencing-based transcriptomic resources in the pond snail Lymnaea stagnalis, with a focus on genes involved in molecular response to diquat-induced stress.\n \n \n \n \n\n\n \n Bouétard, A.; Noirot, C.; Besnard, A. L.; Bouchez, O.; Choisne, D.; Robe, E.; Klopp, C.; Lagadic, L.; and Coutellec, M. A.\n\n\n \n\n\n\n Ecotoxicology, 21(8): 2222–2234. nov 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Pyrosequencing-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{Bouetard2012,\nabstract = {Due to their ability to explore whole genome response to drugs and stressors, omics-based approaches are widely used in toxicology and ecotoxicology, and identified as powerful tools for future ecological risk assessment and environmental monitoring programs. Understanding the long-term effects of contaminants may indeed benefit from the coupling of genomics and eco-evolutionary hypotheses. Next-generation sequencing provides a new way to investigate pollutants impact, by targeting early responses, screening chemicals, and directly quantifying gene expression, even in organisms without reference genome. Lymnaea stagnalis is a freshwater mollusk in which access to genomic resources is critical for many scientific issues, especially in ecotoxicology. We used 454-pyrosequencing to obtain new transcriptomic resources in L. stagnalis and to preliminarily explore gene expression response to a redox-cycling pesticide, diquat. We obtained 151,967 and 128,945 high-quality reads from control and diquat-exposed individuals, respectively. Sequence assembly provided 141,999 contigs, of which 124,387 were singletons. BlastX search revealed significant match for 34.6 {\\%}of the contigs (21.2 {\\%}protein hits).KEGG annotation showed a predominance of hits with genes involved in energy metabolism and circulatory system, and revealed more than 400 putative genes involved in oxidative stress, cellular/molecular stress and signaling pathways, apoptosis, and metabolism of xenobiotics. Results also suggest that diquat may have a great diversity of molecular effects. Moreover, new genetic markers (putative SNPs) were discovered. We also created a Ensembl-like web-tool for data-mining (http://genotoul-contigbrowser.toulouse. inra.fr:9095/Lymnaea stagnalis/index.html). This resource is expected to be relevant for any genomic approach aimed at understanding the molecular basis of physiological and evolutionary responses to environmental stress in L. stagnalis. {\\textcopyright} Springer Science+Business Media, LLC 2012.},\nauthor = {Bou{\\'{e}}tard, Anthony and Noirot, C{\\'{e}}line and Besnard, Anne Laure and Bouchez, Olivier and Choisne, Damien and Robe, Eugenie and Klopp, Christophe and Lagadic, Laurent and Coutellec, Marie Agnes},\ndoi = {10.1007/s10646-012-0977-1},\nissn = {09639292},\njournal = {Ecotoxicology},\nkeywords = {Ecotoxicology,Lymnaea stagnalis,Oxidative stress,Pesticides,Pyrosequencing,Transcriptomics},\nmonth = {nov},\nnumber = {8},\npages = {2222--2234},\npmid = {22814884},\ntitle = {{Pyrosequencing-based transcriptomic resources in the pond snail Lymnaea stagnalis, with a focus on genes involved in molecular response to diquat-induced stress}},\nurl = {http://link.springer.com/10.1007/s10646-012-0977-1},\nvolume = {21},\nyear = {2012}\n}\n
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\n Due to their ability to explore whole genome response to drugs and stressors, omics-based approaches are widely used in toxicology and ecotoxicology, and identified as powerful tools for future ecological risk assessment and environmental monitoring programs. Understanding the long-term effects of contaminants may indeed benefit from the coupling of genomics and eco-evolutionary hypotheses. Next-generation sequencing provides a new way to investigate pollutants impact, by targeting early responses, screening chemicals, and directly quantifying gene expression, even in organisms without reference genome. Lymnaea stagnalis is a freshwater mollusk in which access to genomic resources is critical for many scientific issues, especially in ecotoxicology. We used 454-pyrosequencing to obtain new transcriptomic resources in L. stagnalis and to preliminarily explore gene expression response to a redox-cycling pesticide, diquat. We obtained 151,967 and 128,945 high-quality reads from control and diquat-exposed individuals, respectively. Sequence assembly provided 141,999 contigs, of which 124,387 were singletons. BlastX search revealed significant match for 34.6 %of the contigs (21.2 %protein hits).KEGG annotation showed a predominance of hits with genes involved in energy metabolism and circulatory system, and revealed more than 400 putative genes involved in oxidative stress, cellular/molecular stress and signaling pathways, apoptosis, and metabolism of xenobiotics. Results also suggest that diquat may have a great diversity of molecular effects. Moreover, new genetic markers (putative SNPs) were discovered. We also created a Ensembl-like web-tool for data-mining (http://genotoul-contigbrowser.toulouse. inra.fr:9095/Lymnaea stagnalis/index.html). This resource is expected to be relevant for any genomic approach aimed at understanding the molecular basis of physiological and evolutionary responses to environmental stress in L. stagnalis. © Springer Science+Business Media, LLC 2012.\n
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\n \n\n \n \n \n \n \n \n De Novo Sequencing and Transcriptome Analysis of the Central Nervous System of Mollusc Lymnaea stagnalis by Deep RNA Sequencing.\n \n \n \n \n\n\n \n Sadamoto, H; Takahashi, H; Okada, T; Kenmoku, H; Toyota, M; and Asakawa, Y\n\n\n \n\n\n\n PloS one,e42546. aug 2012.\n \n\n\n\n
\n\n\n\n \n \n \"DePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pop00055,\nabstract = {{\\ldots} Research Article. De Novo Sequencing and Transcriptome Analysis of the Central Nervous System of Mollusc Lymnaea stagnalis by Deep RNA Sequencing {\\ldots} The pond snail Lymnaea stagnalis has large identifiable neurons and a simple central nervous system (CNS) {\\ldots}},\nannote = {Query date: 2020-06-29 13:05:30},\nauthor = {Sadamoto, H and Takahashi, H and Okada, T and Kenmoku, H and Toyota, M and Asakawa, Y},\neditor = {Sakakibara, Manabu},\nissn = {1932-6203},\njournal = {PloS one},\nmonth = {aug},\npages = {e42546},\npublisher = {journals.plos.org},\ntitle = {{De Novo Sequencing and Transcriptome Analysis of the Central Nervous System of Mollusc Lymnaea stagnalis by Deep RNA Sequencing}},\ntype = {HTML},\nurl = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0042546 https://dx.plos.org/10.1371/journal.pone.0042546},\nyear = {2012}\n}\n
\n
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\n … Research Article. De Novo Sequencing and Transcriptome Analysis of the Central Nervous System of Mollusc Lymnaea stagnalis by Deep RNA Sequencing … The pond snail Lymnaea stagnalis has large identifiable neurons and a simple central nervous system (CNS) …\n
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Transcriptome analysis of the central nervous system of the mollusc Lymnaea stagnalis.\n \n \n \n \n\n\n \n Feng, Z.; Zhang, Z.; van Kesteren, R.; Straub, V.; van Nierop, P.; Jin, K.; Nejatbakhsh, N.; Goldberg, J.; Spencer, G.; Yeoman, M.; Wildering, W.; Coorssen, J.; Croll, R.; Buck, L.; Syed, N.; and Smit, A.\n\n\n \n\n\n\n BMC genomics, (1). 2009.\n \n\n\n\n
\n\n\n\n \n \n \"TranscriptomePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pop00051,\nabstract = {Background The freshwater snail Lymnaea stagnalis ( L. stagnalis) has served as a successful model for studies in the field of Neuroscience. However, a serious drawback in the molecular analysis of {\\ldots}},\nannote = {Query date: 2020-06-29 13:05:30},\nauthor = {Feng, Z-P and Zhang, Z. and van Kesteren, RE and Straub, VA and van Nierop, P. and Jin, K. and Nejatbakhsh, N. and Goldberg, JI and Spencer, GE and Yeoman, MS and Wildering, W. and Coorssen, JR and Croll, RP and Buck, LT and Syed, NI and Smit, AB},\nissn = {1471-2164},\njournal = {BMC genomics},\nnumber = {1},\npublisher = {Springer},\ntitle = {{Transcriptome analysis of the central nervous system of the mollusc Lymnaea stagnalis}},\ntype = {HTML},\nurl = {https://link.springer.com/article/10.1186/1471-2164-10-451 http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-10-451},\nyear = {2009}\n}\n
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\n Background The freshwater snail Lymnaea stagnalis ( L. stagnalis) has served as a successful model for studies in the field of Neuroscience. However, a serious drawback in the molecular analysis of …\n
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