1,738 publications from this institution
In the Brown et al. study 'Increased food supply mitigates ocean acidification effects on calcification but exacerbates effects on growth' they show disagreement with the tested hypothesis and data analysis methodology used in our 2016 study. We acknowledge careful criticism and a constructive dialogue are necessary to progress science and address these issues in this reply.Replying to: Brown et al. Sci. Rep. 8 (2018); https://doi.org/10.1038/s41598-018-28012-w .
Abstract Background The spread of antibiotic resistance has become one of the most urgent threats to global health, which is estimated to cause 700,000 deaths each year globally. Its surrogates, antibiotic resistance genes (ARGs), are highly transmittable between food, water, animal, and human to mitigate the efficacy of antibiotics. Accurately identifying ARGs is thus an indispensable step to understanding the ecology, and transmission of ARGs between environmental and human-associated reservoirs. Unfortunately, the previous computational methods for identifying ARGs are mostly based on sequence alignment, which cannot identify novel ARGs, and their applications are limited by currently incomplete knowledge about ARGs. Results Here, we propose an end-to-end Hierarchical Multi-task Deep learning framework for ARG annotation (HMD-ARG). Taking raw sequence encoding as input, HMD-ARG can identify, without querying against existing sequence databases, multiple ARG properties simultaneously, including if the input protein sequence is an ARG, and if so, what antibiotic family it is resistant to, what resistant mechanism the ARG takes, and if the ARG is an intrinsic one or acquired one. In addition, if the predicted antibiotic family is beta-lactamase, HMD-ARG further predicts the subclass of beta-lactamase that the ARG is resistant to. Comprehensive experiments, including cross-fold validation, third-party dataset validation in human gut microbiota, wet-experimental functional validation, and structural investigation of predicted conserved sites, demonstrate not only the superior performance of our method over the state-of-art methods, but also the effectiveness and robustness of the proposed method. Conclusions We propose a hierarchical multi-task method, HMD-ARG, which is based on deep learning and can provide detailed annotations of ARGs from three important aspects: resistant antibiotic class, resistant mechanism, and gene mobility. We believe that HMD-ARG can serve as a powerful tool to identify antibiotic resistance genes and, therefore mitigate their global threat. Our method and the constructed database are available at http://www.cbrc.kaust.edu.sa/HMDARG/ .
AME Aquatic Microbial Ecology Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials AME 29:161-172 (2002) - doi:10.3354/ame029161 Abundance of Antarctic picophytoplankton and their response to light and nutrient manipulation Nona S. R. Agawin*, Susana Agustí, Carlos M. Duarte IMEDEA (CSIC-UIB), Instituto Mediterráneo de Estudios Avanzados C/ Miquel Marqués 21, 07190 Esporles, Mallorca, Spain *Present address: Ocean Sciences Centre, Memorial University of Newfoundland, St. John¹s, A1C 5S7 Newfoundland, Canada. E-mail: nagawin@mun.ca ABSTRACT: The response of Antarctic picophytoplankton to experimental light and nutrient manipulation was tested in a large-scale mesocosm experiment in an iron-rich coastal location in the Bransfield Strait (Johnson Cove) during the austral summer of 2000. The experiment consisted of 8 mesocosm units (25 m3), shaded with screens to provide a light gradient (target irradiance 100, 50, 25 and 10% of the ambient light field). A set of 4 mesocosms encompassing the different light treatments was initially run with the ambient nutrient concentrations and in the remaining 4 mesocosms, ammonium (NH4Cl) was added together with phosphate (KH2PO4) and silicate (Na2SiF6) for the first 11 d of the experiment (Phase I). A second manipulation of light and nutrient (Phase II) was done to confirm the results obtained on Day 16 of the experiment, when the mesocosms shaded to 25% of the ambient light were exposed to full ambient light, and ammonium, was added to both of the mesocosms already receiving 100% ambient light. The importance of light availability was evident in the increased abundance of picophytoplankton with increased irradiance, the response being non linear, with the abundance at full ambient irradiance being comparable, or lower, than that at 50% of the ambient irradiance. There was, in addition, an interaction between light availability and nutrient supply as evidenced by the increased picophytoplankton abundance during the early part of the experiment, with increased nutrient availability in mesocosms exposed to 50 and 100% ambient light, and not in those shaded to 10 and 25% ambient light. The response of photosynthesis to irradiance (P-I curves) showed a strong response to nutrient additions, with extremely high specific photosynthesis rates in the mesocosm with increased nutrient availability and exposed to full ambient light. The response was close to the theoretical maximum possible and provides ample evidence that nutrient additions, particularly ammonium, contribute to the optimum photosynthesis by picophytoplankton in the iron-rich Antarctic coastal waters studied here. KEY WORDS: Picophytoplankton · Antarctica · Light · Nutrient · Mesocosms Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in AME Vol. 29, No. 2. Online publication date: September 23, 2002 Print ISSN: 0948-3055; Online ISSN: 1616-1564 Copyright © 2002 Inter-Research.
Coastal wetlands trap plastics from terrestrial and marine sources, but the stocks of plastics and their impacts on coastal wetlands are poorly known. We evaluated the stocks, fate, and biological and biogeochemical effects of plastics in coastal wetlands with plastic abundance data from 112 studies. The representative abundance of plastics that occurs in coastal wetland sediments and is ingested by marine animals reaches 156.7 and 98.3 items kg–1, respectively, 200 times higher than that (0.43 items kg–1) in the water column. Plastics are more abundant in mangrove forests and tidal marshes than in tidal flats and seagrass meadows. The variation in plastic abundance is related to climatic and geographic zones, seasons, and population density or plastic waste management. The abundance of plastics ingested by pelagic and demersal fish increases with fish length and dry weight. The dominant characteristics of plastics ingested by marine animals are correlated with those found in coastal wetland sediments. Microplastics exert negative effects on biota abundance and mangrove survival but positive effects on sediment nutrients, leaf drop, and carbon emission. We highlight that plastic pollution is widespread in coastal wetlands and actions are urged to include microplastics in ecosystem health and degradation assessment.
Methodology: We compiled available data published in peer-review articles and grey literature reports until year 2009 as well as our own unpublished data. We searched for data with the engine ISI web of Knowledge, using the keywords Posidonia oceanica AND (regression OR decline OR progression OR recovery OR status OR cartography OR limits OR cover OR density OR biomass OR dynamics), and conducting a back search of cited papers. More information about the methodology to be found at: Calleja, M.L., N. Marba, C.M. Duarte (2007). The relationship between seagrass (Posidonia oceanica) decline and sulfide porewater concentration in carbonate sediments. Estuarine coastal and shelf science 73: 583-588; Waycott M, CM. Duarte, T.J. B. Carruthers, R.J. Orth, W.C. Dennison, S. Olyarnik, A. Calladine, J.W. Fourqurean, K.L. Heck, Jr, A.R.ll Hughes, G A. Kendrick, W. J Kenworthy, F T. Short, S L. Williams (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Science USA 106: 12377–12381; Moreno, D., P. A. Aguilera, H. Castro (2001). Assessment of the conservation status of seagrass (Posidonia oceanica) meadows: implications for monitoring strategy and the decision-making process. Biological Conservation 102: 325-332.