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Jul 13, 2016 - Microcystin-LR or Complex Microcystis aeruginosa Extracts on Adult. Medaka Fish. Séverine Le Manach,. †. Nour Khenfech,. †. Hélè...
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Gender-specific toxicological effects of chronic exposure to pure microcystin-LR or complex Microcystis aeruginosa extracts on adult medaka fish Séverine Le Manach, Nour Khenfech, Hélène Huet, Qin Qiao, Charlotte Duval, Arul Marie, Gérard Bolbach, Gilles Clodic, Chakib Djediat, Cécile Bernard, Marc Edery, and Benjamin Marie Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.6b01903 • Publication Date (Web): 13 Jul 2016 Downloaded from http://pubs.acs.org on July 16, 2016

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Gender-specific toxicological effects of chronic exposure to pure

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microcystin-LR or complex Microcystis aeruginosa extracts on adult

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medaka fish

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Séverine Le Manach1, Nour Khenfech1, Hélène Huet1,2, Qin Qiao1, Charlotte Duval1, Arul

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Marie1, Gérard Bolbach3, Gilles Clodic3, Chakib Djediat1, Cécile Bernard1, Marc Edery1,

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Benjamin Marie1*

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1UMR

7245 MNHN/CNRS Molécules de Communication et Adaptation des Micro-

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organismes, Sorbonne Universités, Muséum National d’Histoire Naturelle, CP 39, 12

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Rue Buffon, 75005 Paris, France.

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2Ecole

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Maison-Alfort, France.

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3Institut

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Protéomique, Sorbonne Universités, Université Pierre et Marie Curie, 75005 Paris,

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France.

Nationale Vétérinaire d’Alfort, Université Paris-Est, BioPôle Alfort, 94700

de Biologie Paris Seine/FR 3631, Plateforme Spectrométrie de masse et

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* Corresponding author: [email protected]

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Abstract

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Cyanobacterial blooms often occur in freshwater lakes and constitute a potential health risk to

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human populations, as well as to other organisms. However, their overall and specific

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implications for the health of aquatic organisms that are chronically and environmentally

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exposed to cyanobacteria producing hepatotoxins, such as microcystins (MCs), together with

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other bioactive compounds have still not been clearly established and remain difficult to

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assess. The medaka fish was chosen as the experimental aquatic model for studying the

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cellular and molecular toxicological effects on the liver after chronic exposures (28 days) to

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environmentally relevant concentrations of pure MC-LR, complex extracts of MC producing

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or non-producing cyanobacterial biomasses, and of a Microcystis aeruginosa natural bloom.

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Our results showed a higher susceptibility of females to the different treatments compared to

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males at both the cellular and the molecular levels. Although hepatocyte lysis increased with

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MC-containing treatments, lysis always appeared more severe in the liver of females compare

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to males, and the glycogen cellular reserves also appeared to decrease more in the liver of

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females compared to those in the males. Proteomic investigations reveal divergent responses

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between males and females exposed to all treatments, especially for proteins involved in

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metabolic and homeostasis processes. Our observations also highlighted the dysregulation of

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proteins involved in oogenesis in female livers. These results suggest that fish populations

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exposed to cyanobacteria blooms may potentially face several ecotoxicological issues.

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Introduction

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Cyanobacteria play important roles in aquatic ecosystems because they make a significant

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contribution to primary production and, for some species, to the fixation of atmospheric

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nitrogen1. However, local cyanobacteria proliferations can also disrupt the functioning of

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aquatic ecosystems and constitute a major cause of concern for both public health and ecology

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as a result of the ability of several species and genera to proliferate and to produce harmful

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toxins, so-called cyanotoxins2. The most common and well-studied cyanotoxin-producing

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cyanobacterium, Microcystis, is one of the most widespread and important toxin-producing

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cyanobacteria genera in worldwide lakes, in terms of both abundance and distribution3-6.

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The concerns about the toxicological potential of these freshwater cyanobacteria have mainly

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focused on their production of microcystins (MCs), a diverse family of cyclic heptapeptide

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hepatotoxins that are considered the most common toxins of cyanobacteria. Among MC

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structural diversity variants, the MC-LR variant, the most frequently detected MC variant in

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the environment, is also the variant that exhibits the highest concentrations in lakes7 and has

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the greatest potential for toxicity to aquatic organisms8.

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Cyanotoxins, such as MCs, mostly enter an organism using the food pathway, cross the

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intestinal wall, and move through the portal venous system to reach the liver, in which they

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accumulate: the liver exhibits very high tropism for various drugs and/or chemicals, such as

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cyanotoxins, and notably, MCs9-10. MCs are known to enter a hepatocyte liver cell as a result

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of their high content in transmembranal anionic biliary-acid transporters, which induce

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molecular defects though a cascade of reactions following the inhibition of phosphatase PP1

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and PP2 activity due to MC-specific fixation of those proteins7,8,11. The mechanisms of MC

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toxicity and detoxification in fish are believed to be similar to those reported in mammals12-15.

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However, for aquatic organisms such as fish, most investigations on MC toxicity remains

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based on gavage experiments, one-time force-feeding experiments16, or short-term dietary

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exposure bioassays17 that determined the acute effects at cellular and molecular levels18-21.

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The main toxicological pathways that resulted in the acute effects of MC on hepatocytes are

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the production of reactive oxygen species production, the occurrence of oxidative stress, and

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cytoskeletal dysregulation, together with the induction of apoptosis18-22.

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To date, only limited information is available on the fine chronic effects of an aqueous MC

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exposure on fish under balneation20,23-26, which might potentially be the major and natural

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route of MC toxicity to fish in their environment9,27-28. A small number of these studies were

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dedicated to the investigation of chronic effects of MC exposure at the cellular or molecular

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levels, and all of them were focused on pure MC-LR or -RR effects only4,20,26,29-32. Only a

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restricted number of ecotoxicological studies investigated the potential chronic effects of

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complex cyanobacterial cells and lysates that contain other compounds24,25,33-35, many of

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which are only now being identified,36-40 and their potential toxicological effects are being

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revealed33,41-45. In addition to the classically described cyanotoxins (microcystins,

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cylindrospermopsins, anatoxins or saxitoxins), cyanobacteria can also produce numerous

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other secondary metabolites such as microviridins46, microginins37, oscillapeptins47,

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cyanopeptolins or aeruginosins40, through non-ribosomal peptide synthase/polyketide

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synthase (NRPS/PKS) pathways37; these secondary metabolites may also have concrete

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deleterious biological effects on fish.

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Although various studies have already been performed to determine pure cyanotoxin effects,

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it remains a key issue to elucidate the underlying molecular mechanisms of the toxicological

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response of aquatic organisms, such as fish, that are chronically exposed to a range of

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cyanobacterial metabolites for both environmental and toxicological purposes. To learn more

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about the chronic effects of the Microcystis aeruginosa secondary metabolites, comprising

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MCs, we investigated their cellular and molecular effects on a fish model, the medaka Oryzias

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latipes18, exposed to various cyanobacterial extracts. To investigate the ecotoxicological

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effect of various Microcystis biomass containing or not MCs, we performed complementary

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pathological and molecular approaches on the liver of chronically exposed adult medaka fish.

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The fish liver represents the most suitable organs for this study because it both constitutes the

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primary target of hepatotoxins and is the principal detoxification organ, integrating the whole

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organism responsiveness to xenobiotics11,17,32. Through the systematic analyses of the cellular

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and molecular alterations induced in adult medaka after chronic exposures to various

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cyanobacterial extracts, containing or not MCs, we contribute to generate new information on

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the environmental hazard and risk assessment of cyanobacteria to aquatic organisms.

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Experimental section

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Preparation of exposure extracts

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Microcystis strain cultures. The monoclonal Microcystis aeruginosa strains PCC 7820 and

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PMC 570.08 high-producer MCs and non-producer MCs, respectively, along with other

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secondary metabolites (supplementary figure S1A-B). The strains were maintained in the

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Paris Museum Collection (PMC) of cyanobacteria and cultured in Z8 medium48 (25°C, 16 h:8

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h light:dark photoperiod at 16 µmol of photon.m-2.s-1) under non-axenic conditions for large

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biomass production, prior to methanol extraction.

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Microcystis bloom sampling. The recreational lake located near the city of Champs-sur-

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Marne (48°51′47′′ N, 02°35′53′′ E, France) has a surface area of 0.1 km2 with an average

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depth of 2.5 m, and since 2006, it has experienced several episodes of cyanobacterial

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blooms49. During the summer of 2011, raw water was sampled weekly, the chlorophyll a (Chl

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a) concentration was measured and the cyanobacterial genera or species (>20 µm) were

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determined as described previously50. The MC concentration was determined using AD4G2

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ELISA tests (Abraxis). During one of the main Microcystis aeruginosa bloom (98% of the

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total phytoplankton biomass) events with high-producing MCs that occurred on 09/19/2011, a

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large cyanobacteria biomass was concentrated with a specific net for phytoplankton (200 µm)

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and was collected in a 2 L-bottle for the secondary metabolite extraction (supplementary

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figure S2).

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Microcystis secondary metabolite extraction. The Microcystis aeruginosa biomasses from

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the 2 cultured strains and from the bloom described above were filtered and freeze-dried. The

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lyophilized cells were then sonicated in 80% methanol, centrifuged at 4°C (4,000 g; 10 min)

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and filtered (GF/C 1.2 µm); then, the supernatant was evaporated as described previously51.

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The dried extract was dissolved in 50% ethanol (Vol/Vol) and then partially evaporated to

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remove the ethanol prior to the experimentation. The metabolite compositions of the 3

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extracts were then investigated using LC-MS/MS performed on ESI-qTOF/TOF, and the MCs

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were quantified using AD4G2 ELISA tests (Abraxis).

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Metabolite analysis by mass spectrometry.

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High performance liquid chromatography (HPLC) was performed on 5 µL of each of the

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metabolite extracts using a capillary 1 mm-diameter C18 column (Discovery Bio wide pore

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5 µm, Sigma) at a 50 µL.min-1 flow rate with a gradient of acetonitrile in 0.1% formic acid

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(10 to 80% in 60 min). The metabolite contents were analyzed at least three times using an

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electrospray ionization hybrid quadrupole time-of-flight (ESI-QqTOF) hybrid mass

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spectrometer (QStar® Pulsar i, Applied Biosystems®, France) on positive mode with

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information dependent acquisition (IDA), which allowed for switching between MS and

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MS/MS experiments, as previously described44. The data were acquired and analyzed with the

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Analyst QS software (Version1.1). Peak lists were generated from MS/MS spectra between

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10 and 55 min, with a filtering noise threshold at 2% maximal intensity and combining

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various charge states and related isotopic forms. Metabolite annotation was attempted

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according to the precise mass of the molecules and their respective MS/MS fragmentation

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patterns with regards to an in-house database of above 600 cyanobacteria metabolites that

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were previously described in reference publications.

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Medaka chronic exposure

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Experimental design. Medaka fish (Oryzias latipes) belonging to the inbred Cab strain were

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reared, and experiments were performed in accordance with European Union regulations

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concerning the protection of experimental animals and the validation of experimental

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procedures by the ethical committee of the “museum national d’histoire naturelle” – MNHN

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(N°68-040 for 2013-18). One month prior to the chronic experiments, 5 month-old adult fish

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were maintained at 25 ± 1°C with a 15 h:9 h light:dark cycle (reproductive cycle) to induce

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their reproductive activity. Fish were randomly assigned to one of the 5 experimental groups,

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namely “control” for no toxin balneation with control solvent conditions; “MC-LR” for the

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exposure to pure MC-LR, “MicA+” for the Microcystis aeruginosa MC-producing strain;

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“MicA-” for the Microcystis aeruginosa non- producing MC strain; and “Bloom+” for

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Microcystis aeruginosa bloom producing MC. Each treatment comprised 15 males and 15

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females maintained in a 30-L aquarium. The exposure dose of MCs was fixed to the

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frequently observed environmental concentration of 5 µg equivalent MC-LR L-1 for MC-LR,

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MicA+ and Bloom+ groups, whereas the quantity of MicA- extract was adjusted to be

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equivalent to the biomass used for the MicA+ concentration, and no toxin or extract was

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added to the control tank. The experiment was performed for 28 days, and the exposure

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condition maintained by renewal of a third of the total aquarium volume (10 L) every 2 or 3

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days. Fish were inspected three times daily, and no abnormal behavior, nor mortality was

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observed throughout the experiment. After 28 days of exposure, the fish were briefly

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anesthetized in buffered 0.1% MS-222 and sacrificed, and the liver samples were collected for

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analysis. Circulating estradiol E2 levels were measured in 3 plasma pools of 3 males and 3

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females using a commercial ELISA test (Biosense laboratories) following protein

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quantification using a bicinchoninic acid (BCA) test, which was performed with a bovine

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serum albumin (BSA) protein standard.

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Liver sample analyses.

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Histopathology. Liver samples were fixed in cold 10% buffered formalin (4°C, 48 h),

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transferred into 70% ethanol, dehydrated in successive baths of ethanol (from 70 to 95%), and

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then embedded in paraffin. Blocks were cut into 3- to 5-µm thick sections, and slides were

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stained (with hematoxylin-eosin-saffron (HES) or periodic acid-Schiff (PAS)), according to

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standard histological procedure. For each individual, the hepatocyte lysis surface was

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determined from a blind assessment of 3-5 liver sections of the HES-stained slides, and the

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glycolysis index (scores = 0-3) was visually determined on 3 sub-sampled areas from one

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section of PAS-stained livers by two different researchers. Significant differences among the

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various experimental groups (n=6-9 individual for each sex) were investigated with non-

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parametric tests using Kruskal-Wallis or Mann and Whitney-Wilcoxon methods, which are

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suitable for small data sets.

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Quantitative proteomic analysis. Liver tissues from 3 fish per treatment were pooled, and

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the content protein was extracted and quantified as previously described44. One hundred µg of

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each liver protein pool, prepared as described above, was used for the digestion with 5 µg of

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proteomic-grade trypsin (Sigma-Aldrich, USA) and the sample was labelled, following the

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manufacturer’s protocol for the 8-plex iTRAQ kit (Applied Biosystems®, France).

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Mass spectrometry analysis. iTRAQ-based quantitative proteomic analysis was performed

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using nano-LC (Ultimate 3000, Dionex) coupled with an ESI-LTQ-Orbitrap (LTQ Orbitrap

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XL, Thermo Scientific) mass spectrometer. Six µg of iTRAQ-tagged liver protein digests

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solubilized in 10% ACN with 0.1% formic acid were injected in triplicate by the autosampler

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and were concentrated on a trapping column (Pepmap, C18, 300 µm x 50 mm, 3 µm 100 Å,

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Dionex) with water containing 10% ACN with 0.1% formic acid (solvent A). After 5 min, the

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peptides were eluted onto a separation column (Pepmap, C18, 75 µm x 500 mm, 2 µm 100 Å,

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Dionex) equilibrated with solvent A. The peptides were separated with a 2 h-linear gradient,

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increasing from 10% to 80% ACN + 0.1% formic acid (solvent B) at a flow rate of 200

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nl.min-1. Spectra were measured at a mass scan range of m/z 300-2000 at a resolution of

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30,000 in the profile mode followed by data dependent CID and/or HCD fragmentation of the

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ten most intense ions, with a dynamic exclusion window of 60 s.

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Proteomic data treatment. All data were processed using Mascot 2.4.1 (Matrix Science,

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UK) and using X!Tandem with Scaffold software (version 3.0; Proteome Software, USA)

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compared against Ensembl databases for fishes (restricted to Oryzias latipes, Danio rerio and

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Tetraodon nigroviridis sequences in the Ensembl database V68). The ion mass tolerance and

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the parent ion tolerance were set to 0.50 Da. The methyl methane-thiosulfonate of cysteine

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was specified as a fixed modification. The oxidation of methionine and the iTRAQ 8-plex of

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tyrosine for iTRAQ-derivatized samples were specified as variable modifications. Scaffold

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was used to probabilistically validate the protein identifications derived from the MS/MS

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sequencing results using the X!Tandem algorithms.

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Data analyses. Scaffold Q+ was used to quantify the isobaric tag peptide and protein

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identifications as previously described44. Quantitative ratios were log2 normalized for final

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quantitative testing, and the control value was used as the reference sample in both sexes. The

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heatmap

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(http://www.broadinstitute.org/cancer/software/GENE-E/) with Spearman correlation’s value

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for hierarchical clustering analysis for both samples and proteins. The statistical significance

protein

quantification

was

represented

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of the differential expression of the proteins was investigated using Kruskal-Wallis tests with

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a 0.5 log2 fold change (FC) threshold. The molecular pathway was determined using the

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Ingenuity Pathway Analysis software (V01-04; Qiagen) with the Human orthologous of

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medaka proteins available from the Ensembl online platform (http://www.ensembl.org),

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according to the specific Ingenuity Knowledge Database (using default parameters for all

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tissues and cell lines, with relaxed filters), which constitutes a repository of biological

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interactions and functional annotations.

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Results and discussion

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Metabolite compositions of Microcystis culture and bloom extracts.

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The secondary metabolite compositions of the two monoclonal Microcystis strains and the

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Microcystis dominated bloom were determined using liquid chromatography coupled with

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mass spectrometry (ESI-MS/MS) as represented in figure 1 (A-C). Both extracts exhibited a

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large diversity of molecules, and their molecular annotations were performed according to

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their respective precise mass and, if available, with their corresponding MS/MS fragmentation

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patterns, containing a global matching pattern or several signature ions that are specific to

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some metabolite families37 (supplementary table S1). We observed 40, 25 and 28 metabolites

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for the MicA+, MicA- and bloom+ extracts, respectively, and a global composition

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comparison showed that only a very limited number of metabolites were common between

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the different extracts (figure 1D). In MicA+ extract, 6 MCs variants could be detected and

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annotated: MC-LR, (DAsp3)-MC-LR, (DMha3)-MC-LR, (DAsp3-DMha7)-MC-LR, MC-AR

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and 1 other putative uncharacterized variant Along with these MC variants, together with

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microginin FR5, 5 cyclamides, 4 cyanopeptolins, and other uncharacterized molecules were

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also detected in the MicA+ extract. The Microcystis bloom+ extracts contained

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cyanopeptides, comprising higher peak counts for MC-LR, MC-YR, MC-RR and (DAsp3)-

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MC-LR (in decreasing order), along with 3 other putative uncharacterized MC variants, 6

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potential cyanopeptolins, 2 potential aeruginosins, 1 aeruginosamide 560, and other

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uncharacterized molecules. In contrast, the MicA- extract, which lack any MCs, contained

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different microginin variants (FR3 and FR4, plus potentially Tyr-Tyr deleted fragments),

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along with cyanopeptolin 974, anabaenopeptin F and various other components of unknown

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structures.

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We confirm here that Microcystis aeruginosa produced a wide diversity of secondary

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metabolites, including microcystins, microginins, aeruginosins, cyanopeptolins, cyclamides or

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anabaenopeptides as was suggested through recent genome mining approaches performed in

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this species. These observations also highlight that blooms might produce a wider metabolite

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diversity as blooms comprise a co-dominance of various clones, producing different

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metabolite sets3,5,6. These combined observations illustrate the complexity, and the global

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dissimilarities of the studied Microcystis extracts. Therefore, the chronic deleterious effects

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were further investigated on adult medaka fish, with regard to similar environmental

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concentrations of MCs.

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Effect on liver hepatocyte lysis and glycogen contents

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The liver is an important organ that plays various vital functions, which include the process

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and the storage of nutrients, maintenance of serum composition, bile production, and

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xenobiotic detoxification. Liver from both sexes of medaka exposed to control conditions

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presented a typical architectural organization with polyhedral hepatocytes organized around

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the capillary sinusoids and the bile canaliculi, appearing in typical cord-like parenchymal

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structures. As shown in figure 2A-D, the liver of medaka fish exposed to control conditions

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presented a noteworthy sexual dimorphism: this is illustrated at the cellular level from the

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histological observations of the hepatocytes. Hepatocytes of female fish presented large

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reserve vesicles (very likely containing glycoprotein and/or glycogen, stained in purple with

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PAS44), which appears isolated from the rest of the cytoplasm contents, whereas hepatocytes

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of male fish exhibited a more diffuse cytoplasm that contained small inclusions. Indeed, in

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mature fish, as in other oviparous vertebrates, the liver of the female plays an important

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function in the production of the oocyte envelope and vitellogenin reserves, whereas the male

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liver hepatocytes do not exhibit such activity. The liver globally presents sexual morphologic,

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molecular and functional dimorphisms52-56.

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Here, we determined that significant cellular impacts were detected by histology observation

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of liver sections in both hepatocyte lysis and glycogen content levels with exposures to MC-

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LR, MicA+ and bloom+ treatments in both sexes (figure 2E-F and figure 3). Those increases

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in the hepatocyte lysis area, concomitant with a clear decrease in intra-hepatocyte glycogen

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reserves, represent genuine evidence of the cellular hepatotoxicity of the various treatments

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that contain at least 5 µg.L-1 MC-LR or equivalent MC content. The increase in the

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hepatocyte lysis area may be the result of diffuse cellular necrotic or apoptotic events induced

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by hepatotoxic treatments57, and its association with the decrease of intracellular glycogen

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contents might reveal the induction of a true chronic hepatic stress induction. Interestingly,

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previous investigations performed on whitefish chronically exposed to MC-producing

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Planktothrix rufescens34 have shown gastrointestinal histological alterations characterized by

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“granulated cytosol, reduced glycogen stores, disintegration of the parenchymal liver

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architecture, cell dissociation, …”, the severity of these effects being dependent on the

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quantity of toxic cells. Taken together, these observations support the idea that noticeable

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cellular liver damages are induced in a dose dependent manner by environmental relevant

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amount cyanobacterial toxic compounds, such as the MCs.

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We observed also that in all of the experiment treatments that the fish were exposed to in this

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study, the female medaka fish livers exhibited higher lysis areas associated with lower

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glycogen content than the male livers (p0.5 and P0.5 log2 FC) in male and female livers.

813

Proteinaceous quantification according to iTRAQ analyses was normalized according to male

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(M) and female (F) control quantification values and is represented with a log2 fold change

815

scale. Down-regulated proteins are indicated in red and up-regulated proteins in green

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(threshold of 0.5 log2 FC, darker colors indicate when dysregulation is greater than 1 log2

817

FC). * indicates the three proteins highly dysregulated in both sexes.

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Fig.  1    

 

 B

 

 

 

     C  

Ion  count  

A           D  

Molecular  mass  (Da)  

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Fig.  2  

c  

v  

n  

v  

c  

m  

m   n  

  20%  

 

 

 

 

                                 F   ##  ##  

male   female  

%  of  cellular  lysis  

  ★★  

15%  

**      *  

3   Glycogen-­‐reserve  index  

E

**    **  

10%   5%  

Controle  

MC-­‐LR  

MicA+  

MicA-­‐  

Bloom+  

male  

**    **  

female  

2  

##    ##  

1   0  

0%  

**    **  

Controle  

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MC-­‐LR  

MicA+  

MicA-­‐  

Bloom+  

★★  

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Fig.  3  

            MC-­‐LR           MicA-­‐  

 

 

 Control  

 

 

   MicA+  

 

 

   Bloom+  

            MC-­‐LR           MicA-­‐  

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 Control  

 

 

   MicA+  

 

 

   Bloom+  

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Fig.  4  

M  Control       F  Control     M  MicA-­‐     M  MC-­‐LR     M  Bloom+     M  MicA+     F  MicA-­‐     F  MC-­‐LR     F  Bloom+     F  MicA+          

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Fig.  5  

15              3              34  

M  MC-­‐LR   M  MicA+   M  MicA-­‐   M  Bloom+   METABOLISM   Glycosyltransferase   Acyl-­‐CoA  binding  protein   Betaine-­‐homocysteine  methyltransferase  1*   FaQy  acid-­‐binding  protein   Saccharopine  dehydrogenase  a   Aldehyde  dehydrogenase  1   Acyl-­‐Coenzyme  A  oxidase  3   Acetyl-­‐Coenzyme  A  acyltransferase  1   FaQy  acid  amide  hydrolase   Phytanoyl-­‐CoA  2-­‐hydroxylase*   Phenylalanine  hydroxylase   HOMEOSTASIS  PROCESS   Alpha-­‐type  globin   Alpha-­‐type  globin   Beta-­‐type  globin   Cytochrome  P450  4B*   TRANSLATION   Ribosome  binding  protein  1   Nucleolin   Ribosomal  protein  SA  

0   -­‐0.4   -­‐0.7   -­‐0.4   -­‐0.4   0.1   0.5   0.6   0.7   0.7   0.6  

-­‐0.6   -­‐1.1   0   -­‐0.6   -­‐1   0.1   0.1   0.3   0.7   0.5   0.7  

-­‐0.5   -­‐0.4   0   2.5   -­‐0.3   0.8   0.6   0.3   0.7   0.4   0.6  

-­‐0.1   -­‐0.6   -­‐0.8   -­‐0.7   -­‐0.4   0   0.3   0.5   0.4   0.6   1.1  

0.1   0.2   0.3   0.6  

0.5   0.5   0.5   0.9  

0.6   0.7   0.8   0.4  

0   0.3   0.2   0.6  

-­‐0.2   -­‐0.2   0.2  

-­‐0.6   -­‐0.6   0.7  

-­‐0.5   -­‐0.1   0.2  

-­‐0.1   0   0.1  

METABOLISM   HisBdine  ammonia-­‐lyase   ATP  synthase  subunit  alpha   Aldehyde  dehydrogenase  4A1   Phosphoethanolamine  methyltransferase   UDP  glucuronosyltransferase  1   FaQy  acid  binding  protein  10b   Phytanoyl-­‐CoA  2-­‐hydroxylase*   FaQy  acid  binding  protein  10a   UDP-­‐glucose  pyrophosphorylase  2a   Sulfurtransferase   Betaine-­‐homocysteine  methyltransferase  1*   Betaine-­‐homocysteine  methyltransferase  2   4-­‐aminobutyrate  aminotransferase   Dihydropyrimidine  dehydrogenase  b   Alanine-­‐glyoxylate  aminotransferase  a   Acetyl-­‐CoA  acetyltransferase  2   REPRODUCTION  PROCESS   Vitellogenin  1   Vitellogenin  II  precursor   Choriogenin  H  precursor   Choriogenin  L   HOMEOSTASIS  PROCESS   Glutaredoxin   Transferrin-­‐a   Uricase   Catalase   Cytochrome  P450  4B*   Cytochrome  P450  3A   Cytochrome  P450  8B   Cytochrome  P450  2A   Glutathione  S-­‐transferase  A-­‐like   Glutathione  S-­‐transferase  zeta  1   Superoxide  dismutase  1   OTHER  FUNCTIONS   CalreBculin  like   Ribosomal  protein  S17   Uncharacterized  protein   Cathepsin  D   Complement  component  C3-­‐1   CyBdine  deaminase  

ACS Paragon Plus Environment

F  MC-­‐LR  

F  MicA+  

F  MicA-­‐   F  Bloom+  

-­‐0.9   -­‐0.6   -­‐0.3   -­‐0.5   0.1   0.4   0.3   0.4   0.1   0.2   0.3   0.6   0.7   0   0.6   1.5  

-­‐1.7   -­‐0.5   -­‐1.3   -­‐0.6   0.2   -­‐0.7   0   -­‐0.1   0.1   0.6   -­‐0.1   -­‐0.1   0   0.7   0   2.2  

-­‐1.7   -­‐1.8   -­‐0.7   -­‐0.4   -­‐1.7   0.1   0   0.4   0.2   0.3   0   0.2   0.4   0   0.2   1.7  

-­‐1.7   -­‐1.8   -­‐0.4   -­‐0.4   -­‐0.1   0.4   0.6   0.9   0.7   0.3   0.8   0.8   0.5   1.2   1   1.1  

-­‐0.6   -­‐0.3   -­‐0.6   -­‐0.6  

-­‐0.5   -­‐0.3   -­‐0.2   -­‐0.2  

-­‐0.5   -­‐0.2   0.1   -­‐0.2  

-­‐1   -­‐0.7   -­‐0.9   -­‐0.9  

0.4   0.2   0.4   0.3   0.6   0.7   0.6   0.7   0.2   0.2   0.5  

-­‐0.7   0.3   -­‐0.1   -­‐0.1   -­‐0.3   0.1   0.1   0.1   -­‐0.4   0.5   0.5  

0.2   0.1   0.1   0   -­‐0.3   0.1   -­‐0.1   0.3   -­‐0.1   0.1   0.5  

0.2   0.6   0.7   0.7   0.6   0.7   0.9   0.4   1   0.8   0.6  

-­‐0.6   -­‐0.7   0.4   0.2   0.4   0.6  

0.1   -­‐0.1   0.2   0.5   1.1   0.6  

-­‐0.2   -­‐0.2   0.1   0.3   0.1   0.4  

-­‐0.2   -­‐0.1   0.8   0.8   0.8   0.5  

Environmental Science & Technology

Page 40 of 40

1/  MC-­‐LR          

Microcys(s  aeruginosa  

2/  MicA-­‐    

250000   200000   150000  

 

100000  

 

50000  

 

0   0  

500  

100000  

 1000  

1500  

2000  

28-­‐days  chronic  exposure  to   environmental  concentraBons  

 

50000  

 

0   0  

500  

  1000  

1500  

2000  

  4/  Bloom+      

200000   150000   100000  

Oryzias  La(pes  

50000   0   0  

500  

15%   10%  

1000  

Mass  

1500  

2000  

ACS Paragon Plus Environment

##  ##  

male   female  

★★  

**      *  

**    **  

5%   0%  

3/  MicA+      

150000  

20%   %  of  cellular  lysis  

 

Controle   MC-­‐LR   MicA+  

MicA-­‐   Bloom+