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<article article-type="research-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="en"
	xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">ni</journal-id>
			<journal-title-group>
				<journal-title>Neotropical Ichthyology</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Neotrop.
					ichthyol.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1679-6225</issn>
			<issn pub-type="epub">1982-0224</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Ictiologia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">00211</article-id>
			<article-id pub-id-type="doi">10.1590/1982-0224-2023-0130</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Glycolytic modulations and antioxidant capacity in Amazonian fish,
						<italic>Bryconops giacopinii</italic> (Characiformes: Iguanodectidae),
					living at high temperature</article-title>
			</title-group>
			
			
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">0000-0002-6227-6569</contrib-id>
					<name>
						<surname>Campos</surname>
						<given-names>Derek Felipe de</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing-original draft</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0002-5594-5963</contrib-id>
					<name>
						<surname>Mota</surname>
						<given-names>Susana Braz</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Data curation</role>
					<role>Investigation</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0001-7038-5266</contrib-id>
					<name>
						<surname>Almeida-Val</surname>
						<given-names>Vera Maria Fonseca de</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Supervision</role>
					<role>Validation</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0002-3823-3868</contrib-id>
					<name>
						<surname>Val</surname>
						<given-names>Adalberto Luis</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Conceptualization</role>
					<role>Supervision</role>
					<role>Writing-review and editing</role>
				</contrib>
			</contrib-group>
			
			<aff id="aff1">
				<institution content-type="original">Laboratório de Ecofisiologia e Evolução Molecular (LEEM), Instituto Nacional de Pesquisas da Amazônia (INPA), Av. André Araújo 2936, 69067-375 Manaus, AM, Brazil. (DFC) campos.derek@gmail.com (corresponding author), (SBM) susanabmota@gmail.com, (VMFAV) veraval30@gmail.com, (ALV) dalval.inpa@gmail.com.</institution>
				<institution content-type="orgdiv1">Laboratório de Ecofisiologia e Evolução Molecular (LEEM)</institution>
				<institution content-type="orgname">Instituto Nacional de Pesquisas da Amazônia (INPA)</institution>
				<addr-line>
					<city>Manaus</city>
					<postal-code>69067-375</postal-code>
				</addr-line>
				<state>AM</state>
				<country country="BR">Brazil</country>
				<email>campos.derek@gmail.com</email>
				<email>susanabmota@gmail.com</email>
				<email>veraval30@gmail.com</email>
				<email>dalval.inpa@gmail.com</email>
			</aff>
			
			<aff id="aff2">
				<institution content-type="original">Laboratório de Fisiologia Térmica Integrativa, Departamento de Morfologia e Fisiologia Animal, Universidade Estadual Paulista, Via de Acesso Prof. Paulo Donato Castelane, s/n, Vila Industrial, 14884-900 Jaboticabal, SP, Brazil.</institution>
				<institution content-type="orgdiv1">Departamento de Morfologia e Fisiologia Animal</institution>
				<institution content-type="orgdiv2">Laboratório de Fisiologia Térmica Integrativa</institution>
				<institution content-type="orgname">Universidade Estadual Paulista</institution>
				<addr-line>
					<city>Jaboticabal</city>
					<postal-code>14884-900</postal-code>
				</addr-line>
				<state>SP</state>
				<country country="BR">Brazil</country>
			</aff>
			
			<author-notes>
				<fn fn-type="edited-by" id="fn1">
					<label>Edited-by</label>
					<p>Bernardo Baldisserotto</p>
				</fn>
				<fn fn-type="corresp" id="fn2">
					<label>Correspondence</label>
					<p>Derek Felipe de Campos campos.derek@gmail.com</p>
				</fn>
				<fn fn-type="conflict" id="fn3">
					<label>Competing Interests</label>
					<p>The author declares no competing interests.</p>
				</fn>
				<fn fn-type="other" id="fn4">
					<label>Ethical Statement</label>
					<p>All procedures followed CONCEA, Brazilian Guide for Animal Use and Care approved by INPA’s Council for Ethics in Animal Use (Protocol number 026/2015), collection license SISBio number 29837–24.</p>
				</fn>
				
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>08</day>
				<month>07</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2024</year>
			</pub-date>
			<volume>22</volume>
			<issue>02</issue>
			<elocation-id>e230130</elocation-id>
			<history>
				<date date-type="received">
					<day>18</day>
					<month>12</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>05</day>
					<month>04</month>
					<year>2024</year>
				</date>
			</history>
			
			<permissions>
				<copyright-statement>© 2024 The Authors</copyright-statement>
				<copyright-year>2023</copyright-year>
				<copyright-holder>The Authors</copyright-holder>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the
						Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			
			<abstract>
				<title>Abstract</title>
				<p>Temperature is projected to continue increasing in the upcoming years. The
					effects of temperature warming in deforested stream populations have not been
					addressed yet and are a promising area to understand the consequences of
					increased temperature on fish physiology. Therefore, the aims of this study were
					to determine the manner in which <italic>Bryconops giacopinii</italic> from
					deforested habitat modulates the LDH kinetics in response to warming and whether
					the antioxidant system is able to withstand thermal stress. We collected
					individuals from two roadside streams (deforested) and one forested stream and
					measured the LDH kinetics parameters (Vmax and Km) for pyruvate and lactate,
					measured the total ROS production, and measured the activity of antioxidant
					enzymes and the oxidative stress biomarker. Our results showed lower affinity
					and higher LDH activity for lactate oxidation in road-side populations,
					suggesting that populations living in high temperatures use lactate as aerobic
					fuel. Besides, there was an increase in ROS production, and CAT and GSH levels
					in road-side populations, but not LPO levels, suggesting that <italic>B.
						giacopinni</italic> is able to neutralize the ROS production with the
					antioxidant systems. Our results bring important findings in the adaptation of
					this specie to a warm environment.</p>
			</abstract>
			
			
			<trans-abstract xml:lang="pt">
				<title>Resumo</title>
				<p>A temperatura deverá continuar aumentando nos próximos anos. Os efeitos do
					aumento da temperatura nas populações de riachos desmatados ainda não foram
					abordados e são uma área promissora para compreender as consequências do aumento
					da temperatura na fisiologia dos peixes. Portanto, os objetivos deste estudo
					foram determinar a maneira pela qual <italic>Bryconops giacopinii</italic> de
					habitat desmatado modula a cinética do LDH em resposta ao aquecimento e se o
					sistema antioxidante é capaz de resistir ao estresse térmico. Coletamos
					indivíduos de dois riachos à beira de estradas (desmatados) e de um riacho
					florestado, e medimos os parâmetros cinéticos da LDH (Vmax e Km) para piruvato e
					lactato, medimos a produção total de EROs e medimos a atividade de enzimas
					antioxidantes e do biomarcador de estresse oxidativo. Nossos resultados
					mostraram menor afinidade e maior atividade de LDH para oxidação de lactato em
					populações à beira de estradas, sugerindo que populações que vivem em altas
					temperaturas utilizam lactato como combustível aeróbico. Além disso, houve um
					aumento na produção de EROs e nos níveis de CAT e GSH nas populações à beira da
					estrada, mas não nos níveis de LPO, sugerindo que <italic>B</italic>.
						<italic>giacopinni</italic> é capaz de neutralizar a produção de EROs com os
					sistemas antioxidantes. Nossos resultados trazem descobertas importantes na
					adaptação desta espécie a um ambiente quente.</p>
			</trans-abstract>
			
			
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Aclimatization</kwd>
				<kwd>Antioxidant enzymes</kwd>
				<kwd>Lactate dehydrogenase</kwd>
				<kwd>Oxidative stress</kwd>
				<kwd>Thermal adaptation</kwd>
			</kwd-group>
			
			
			<kwd-group xml:lang="pt">
				<title>Palavras chave:</title>
				<kwd>Aclimatização</kwd>
				<kwd>Adaptação térmica</kwd>
				<kwd>Enzimas antioxidantes</kwd>
				<kwd>Estresse oxidativo</kwd>
				<kwd>Lactato desidrogenase</kwd>
			</kwd-group>
			
			
			<funding-group>
				<award-group award-type="contract">
					<funding-source>CNPq</funding-source>
					<award-id>465540/2014–7</award-id>
				</award-group>
				
				<award-group award-type="contract">
					<funding-source>FAPEAM</funding-source>
					<award-id>062.01187/2017</award-id>
				</award-group>
				
				<award-group award-type="contract">
					<funding-source>CAPES</funding-source>
					<award-id>001</award-id>
				</award-group>
			</funding-group>
			
			
			<counts>
				<fig-count count="3"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="45"/>
			</counts>
		</article-meta>
	</front>
	
	
	<body>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>Climate change stands as a principal concern for conservationists, posing a
				significant threat to biodiversity. Rising temperatures are reshaping environmental
				conditions and imposing novel selection pressures on organisms <xref ref-type="bibr" rid="B13">(Crozier, Hutchings,
				2014)</xref>. Consequently, understanding the capacity of species and populations to
				respond and adapt to climate change, particularly warming, is more pressing than
				ever. This understanding is crucial for predicting the consequences of climate
				change and enhancing our management and conservation efforts (<xref ref-type="bibr" rid="B14">Donelson <italic>et
					al</italic>., 2011</xref>; <xref ref-type="bibr" rid="B39">Sinclair <italic>et al</italic>., 2016</xref>; <xref ref-type="bibr" rid="B6">Campbell <italic>et
					al</italic>., 2017</xref>). Ectothermic animals are especially vulnerable to ambient
				temperature variations due to their reliance on external temperatures to regulate
				body temperature and metabolism <xref ref-type="bibr" rid="B38">(Schulte, 2015)</xref>.</p>
			<p> Rising temperatures exert a significant influence on ectothermic metabolism, with
				the ability to survive in warm environments being closely linked to an individual’s
				capacity to meet its energetic requirements (<xref ref-type="bibr" rid="B34">Pörtner, Gutt, 2011</xref>; <xref ref-type="bibr" rid="B33">Pörtner <italic>et
					al</italic>., 2014</xref>). Lactate dehydrogenase (LDH) is a key metabolic enzyme
				involved in the final stages of glycolytic metabolism. It facilitates the
				interconversion of pyruvate and lactate while concurrently interconverting NADH and
				NAD+, thus playing a crucial role in energy metabolism <xref ref-type="bibr" rid="B16">(Driedzic, Almeida-Val,
				1996)</xref>.</p>
			<p> While the effects of temperature on the kinetics of LDH in the forward reaction
				(pyruvate reduction) have been extensively studied, relatively few studies have
				focused on the lactate oxidation reaction (<xref ref-type="bibr" rid="B19">Fields, Houseman, 2004</xref>; <xref ref-type="bibr" rid="B18">Fields <italic>et
					al.</italic>, 2015</xref>). The utilization of lactate as an aerobic fuel has been
				associated with enhanced aerobic and swimming performance in fish (<xref ref-type="bibr" rid="B31">Omlin <italic>et
					al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="B17">Ferreira <italic>et al.</italic>, 2018</xref>), suggesting its
				potential importance when fish are exposed to high temperatures. Therefore, a
				comprehensive understanding of LDH kinetics in both the forward and reverse
				reactions in fish acclimatized to different temperatures would provide valuable
				insights into the modulation of glycolytic metabolism to cope with thermal
				stress.</p>
			<p> The ability of organisms to respond and survive increases in temperature hinges on
				their ability to supply energy and manage internal components and processes to
				maintain physiological homeostasis <xref ref-type="bibr" rid="B40">(Somero, 2010)</xref>. As oxygen consumption rises to
				meet energy demands, there is a concomitant increase in the production of reactive
				oxygen species (ROS) due to warming. The excessive production of ROS can inflict
				severe damage to cells, leading to lipid peroxidation, protein carbonylation, and
				DNA damage – collectively known as oxidative stress.</p>
			<p> <xref ref-type="bibr" rid="B7">Campos <italic>et al</italic>. (2019)</xref> reported a heightened vulnerability of the
				characid fish <italic>Hyphessobrycon melazonatus</italic> acclimated to a climate
				change scenario characterized by elevated temperatures (4°C) and atmospheric CO2
				levels (900 ppm above current levels), with a notable link between increased
				mortality and oxidative damage. However, cells possess mechanisms to counteract the
				deleterious effects of ROS through the activation of ROS scavengers, including
				superoxide dismutase, catalase, glutathione-S-transferase, and others. This
				activation serves to reduce the flux of ROS generated during oxidative metabolism,
				thereby mitigating oxidative stress <xref ref-type="bibr" rid="B30">(Madeira <italic>et al</italic>., 2016a)</xref>. <xref ref-type="bibr" rid="B27">Lopes
					<italic>et al</italic>. (2018)</xref> demonstrated that the activation of antioxidant
				enzymes provides an effective defense mechanism to cope with ROS formation in
					<italic>Chiloscyllium plagiosum</italic> exposed to a climate change
				scenario.</p>
			<p> The vast majority of studies examining the effects of temperature on physiological
				and biochemical plasticity have focused on acclimating individuals to different
				temperature regimes (<xref ref-type="bibr" rid="B9">Campos <italic>et al.</italic>, 2017</xref>, <xref ref-type="bibr" rid="B7">2019</xref>). However, only a
				few studies have investigated the effects of natural populations inhabiting distinct
				thermal habitats. Phenotypic variation can arise from both environmental and genetic
				influences, underscoring the importance of understanding the relative contributions
				of local adaptation and phenotypic plasticity. This understanding is crucial for
				elucidating the impact of environmental variation on populations.</p>
			<p> In this study, we investigate the physiological and biochemical adaptation of
					<italic>Bryconops giacopinii </italic>(Fernández-Yépez, 1950), a rheophilic
				species, residing in different thermal habitats. While <italic>B.
					giacopinii</italic> typically inhabits natural forested streams in the Amazon,
				the construction of roads through the Amazon Forest has altered its habitat.
				Deforestation of Amazonian streams has resulted in temperature increases of up to
				6°C <xref ref-type="bibr" rid="B23">(Ilha <italic>et al.</italic>, 2018)</xref> a rise warmer than projections for the year
				2100 due to climate change. Consequently, our aim is to explore the physiology and
				biochemistry of <italic>B. giacopinii</italic> populations living in diverse thermal
				habitats. We hypothesize that: i) individuals from roadside streams will exhibit
				different LDH kinetics parameters compared to those from forested streams, and ii)
				individuals from roadside streams will display higher levels of antioxidants and
				oxidative stress. Therefore, we expect changes in LDH kinetics and redox balance
				related to the increase in energy demand to live in warm waters. Changes in
				glycolytic and redox balance will inform us about the physiological adjustment of
				this species to survive in a climate change world.</p>
		</sec>
		
		
		<sec sec-type="materials|methods">
			<title>MATERIAL AND METHODS</title>
			<p><bold>Study area and fish collection.</bold> The individuals’ collection was
				performed on February 2020 (Amazon wet season) in two road-side streams (BR#1 -
				02°34’45”S 60°01’44”W; BR#2 - 02°44’51”S 60°01’35”W) and one forested stream (Ducke
				- 02°58’07”S 60°00’20”W). The two roadside streams are located along the Manaus-Boa
				Vista road, the BR-174 <xref ref-type="fig" rid="f1">(Fig. 1)</xref>. The highway BR-174 construction beginning in the
				1970’s years and its paving only finished in 1997. The construction and paving of
				the highways represent the main vectors of deforestation in the Amazon, and
				according to <xref ref-type="bibr" rid="B36">Rodrigues, Pinheiro (2012)</xref>, there was a total of 2618, 58 km2 of
				deforested areas near the BR-174. Deforestation has impacted the physical structure
				of the small aquatic ecosystems, what once was a forested lotic system, turned into
				a semi-lentic system without riparian forest, leading to the increase in the mean
				and fluctuation of the temperature. The forested stream is located inside the
				Reserva Adolpho Ducke (02°53’S 59°58’W), a protected area located in the central
				Brazilian Amazon near the confluence of the Negro and Solimões rivers and bordering
				Manaus. The Ducke Reserve encompasses an area of 100 km2 and comprises two distinct
				watersheds: Puraquequara basin in the Tarumã basin. The animals were collected
				specifically from the Tarumã Basin (Acará streams). The distance between Ducke and
				the roadside streams was approximately 40 km in a straight line, with a distance of
				around 10 km between the roadside streams. Importantly, there is no connection
				between these streams.</p>
			<p> In both sites, ten individuals were collected using a seine net. Captured fish were
				maintained in a container with stream water and aeration. The animals were collected
				over two consecutive days. On the first day, between 9 and 11 am, we gathered
				populations from the roadside. The following day, at the same time frame of 9 to 10
				am, we collected animals from the Ducke reserve. After collection, fish were
				anesthetized and dissected, the muscle and gills were removed and immediately frozen
				in liquid N2. The samples were stored in the ultra-freezer at -80°C until the
				enzymatic analyses were performed. Besides, temperature and oxygen were measured by
				YSI55 probe, and 5 mL of water was collected to measure pH in the laboratory with
				Ohaus ST2100-F Starter 2100 pHmeter. The species are included in the ichthyological
				collection of the Instituto Nacional de Pesquisas da Amazônia (INPA) under voucher
				number INPA-ICT 044364.</p>
			<p><bold>LDH Kinetics.</bold> Enzyme assays were realized according to protocols
				described in <xref ref-type="bibr" rid="B16">Driedzic, Almeida-Val (1996)</xref>. The absolute activity of LDH was measured
				in the white muscle of fish that was homogenized according to Driedzic and
				Almeida-Val’s method. Briefly, the portions were homogenized manually with a conic
				pistil and microtubes in a 1:10 (w:v) ice-cold buffer (150mM imidazole, 1mM EDTA, 1%
				triton X-100, pH 7.4). Homogenates were centrifuged during 15 min at 13.000g at 4oC
				to separate particulate material. Assays were performed in 300 μL microplate in 288
				μL reaction buffer (NADH 0.15mM for pyruvate reductase or NAD+ 0.15mM for lactate
				oxidase, KCN 1mM, and imidazole 50mM), pH 7.4 at 25oC, 2μL homogenate, and reaction
				was started adding 10μL pyruvate (0.0, 0.05, 0.10, 0.25, 0.50, 0.75, 1.00, 5.00 mM)
				or lactate (0.0, 0.5, 1.0, 2.0, 4.0, 8.0 and 16mM). In a spectrophotometer
				spectramax M5 plate reader the reaction was read at 340 nm. K<italic>m</italic> and
					V<italic>max</italic> for each substrate were calculated after assays and
				expressed as mM and μmol pyruvate/minute/g protein, respectively.
					K<italic>m</italic> and V<italic>max</italic> were calculated with a nonlinear
				least square regression fit to the one site saturation ligand biding equation using
				SigmaPlot 3.0 (Systat Software Inc). </p>
			<p><bold>Antioxidant and reactive oxygen species analyses.</bold> Muscle and Gills were
				homogenized in buffer (pH 7.6) containing (in mM): Tris base 20, EDTA 1.0,
				dithiothreitol 1.0, sucrose 50, KCl 150. Homogenates were centrifuged at 15,000 g
				for 20 min at 4°C and used to determine GST, SOD and CAT activities, and LPO levels
				(1:10 w/v for GST and SOD and 1:4 w/v for CAT and LPO). The
				glutathione-S-transferase (GST) activity was determined using 1-chloro
				2,4-dinitrobenzene (CDNB) as substrate, according to <xref ref-type="bibr" rid="B25">Keen <italic>et al.</italic>
				(1976)</xref>. Changes in absorbance were recorded at 340 nm. The enzyme activity was
				calculated as nmol CDNB conjugate formed per min per mg protein. To determine the
				catalase (CAT) activity, the inhibition rate of H2O2 decomposition was monitored at
				240 nm <xref ref-type="bibr" rid="B5">(Beutler, 1975)</xref>, and expressed as μM H2O2 min−1 mg protein− 1. Superoxide
				dismutase (SOD) activity was quantified based on the inhibition of cytochrome c
				reduction rate by the superoxide radical at 550 nm and 25°C <xref ref-type="bibr" rid="B44">(Turrens, 1997)</xref>. Enzyme
				activity is expressed as U SOD mg protein−1, where 1 U of SOD corresponds to the
				quantity of enzyme that promoted the inhibition of 50% of cytochrome c. The lipid
				peroxidation (LPO) levels were quantified based on the oxidation of the Fe+2 to Fe+3
				by hydroperoxides in the acid medium in the presence of ferrous oxidation-xylenol
				orange, at 560 nm, according to the method described by <xref ref-type="bibr" rid="B24">Jiang <italic>et
				al</italic>. (1991)</xref>.</p>
			<fig id="f1">
				<label>FIGURE 1 | </label>
				<caption>
					<title>Location map of the collection sites of <italic>Bryconops
						giacopinii</italic>. Blue spot indicates the forested streams (Reserve
						Ducke) and red spot indicates the roadside streams (BR#1 and BR#2). Both
						forested and roadside streams belong to the Taruma-Açu basin, highlighted in
						grey area. The collection sites are showed in the images below the map.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230130-gf1.jpg"/>
			</fig>
			<p> Reactive oxygen species (ROS) were measured according to the method of <xref ref-type="bibr" rid="B2">Amado
					<italic>et al.</italic> (2009)</xref>. In the homogenates, as described above, were
				added the reaction buffer (30 mM HEPES, 200 mM KCl, and 1 mM MgCl2, pH 7.2) and the
				fluorescent dye 2′,7′ dichlorofluorescein diacetate (H2DCF-DA). The acetate groups
				of H2DCF-DA are cleaved by intracellular esterase present in sample supernatants.
				After that, the non-fluorescent compound H2DCF was oxidized by ROS to the
				fluorescent compound, DCF, which was detected in the wavelengths of 488 (excitation)
				and 525 (emission) nm. Total fluorescence production was calculated by integrating
				the fluorescence units (FU) over the measurement time and expressed as the area of
				fluorescence. The results were expressed as area difference of FU × min in the
				sample.</p>
			<p><bold>Statistics.</bold> The data are presented as mean ± SEM (n = 10). All
				statistical analyses were carried out in SigmaStat 3.1 using a significance level of
				5%. Parametric Anova or ANOVA on ranks was performed to detect significant
				differences in the biomarker’s response among different populations followed by the
				Tukey post hoc analysis.</p>
		</sec>
		
		
		<sec sec-type="results">
			<title>RESULTS</title>
			<p>The temperature and pH were higher, oxygen was lower in both roadside streams
				compared to the forested stream (see <xref ref-type="table" rid="t1">Tab. 1</xref>). The maximum activity (Vmax) of LDH for
				lactate formation surpasses that for pyruvate formation, indicating that this enzyme
				is more effective in catalyzing lactate formation. Significant differences were
				observed among collection sites for LDH kinetic parameters. Specifically, the
				maximum activity (Vmax) of LDH for lactate formation is higher in fish from the
				Ducke compared to those from BR#1. Conversely, the maximum activity (Vmax) of LDH
				for pyruvate formation is higher in fish from the BR#1 population than in those from
				the Ducke population <xref ref-type="fig" rid="f2">(Fig. 2)</xref>. This suggests that higher temperatures enhance the
				ability for pyruvate formation, which can be used to enter in citric acid cycle and
				improve oxidative phosphorilation. Furthermore, LDH Kmpyr does not exhibit
				significant differences among populations. However, LDH Kmlac is lower in the Ducke
				population compared to BR#1, indicating a higher affinity for lactate in the Ducke
				population <xref ref-type="fig" rid="f3">(Fig. 3)</xref>. Taken together, the kinetics of LDH suggest that populations
				inhabiting higher temperatures have adapted to increase lactate oxidation.</p>
			<p> Regarding the antioxidant enzymes, there were significant differences among the
				collection sites in gills <xref ref-type="table" rid="t2">(Tab. 2)</xref>. The SOD activity was lower in BR#1 compare to
				BR#2 and Ducke. The CAT was lower in BR#1 compare to BR#2, the GSH was higher in
				BR#1 and BR#2 compare to Ducke, and the GST activity was lower in BR#1 compare to
				Ducke. There were no differences in LPO and ROS among treatments, although BR#1 and
				BR#2 showed higher ROS mean values.</p>
			<table-wrap id="t1">
				<label>TABLE 1 | </label>
				<caption>
					<title>Temperature, oxygen and pH of the collection sites.</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1"/>
							<td rowspan="1" colspan="1" align="center"><bold>Temperature
								(°C)</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>Oxygen
									(mgL</bold><bold>-1</bold><bold>)</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>pH</bold></td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">BR#1</td>
							<td rowspan="1" colspan="1" align="center">29.3</td>
							<td rowspan="1" colspan="1" align="center">5.4</td>
							<td rowspan="1" colspan="1" align="center">5.3</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">BR#2</td>
							<td rowspan="1" colspan="1" align="center">28.5</td>
							<td rowspan="1" colspan="1" align="center">5.6</td>
							<td rowspan="1" colspan="1" align="center">5.1</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Ducke</td>
							<td rowspan="1" colspan="1" align="center">25.3</td>
							<td rowspan="1" colspan="1" align="center">6.4</td>
							<td rowspan="1" colspan="1" align="center">4.5</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<fig id="f2">
				<label>FIGURE 2 | </label>
				<caption>
					<title><bold>A.</bold> LDH enzyme activity in different concentrations of substrate
						(pyruvate, mM); <bold>B.</bold> Maximum velocity of lactate dehydrogenase
						(LDH), and <bold>C. </bold>Enzyme affinity (Kmpyr) of lactate dehydrogenase
						(LDH) in muscle of different populations of <italic>Bryconops
							giacopinii</italic> that inhabit different thermal habitats (for details
						see Material and Methods).</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230130-gf2.jpg"/>
			</fig>
			<fig id="f3">
				<label>FIGURE 3 | </label>
				<caption>
					<title><bold>A.</bold> LDH enzyme activity in different concentrations of substrate
						(lactate, mM); <bold>B.</bold> Maximum velocity of lactate dehydrogenase
						(LDH), and <bold>C.</bold> Enzyme affinity (Kmlac) of lactate dehydrogenase
						(LDH) in muscle of different populations of <italic>Bryconops
							giacopinii</italic> that inhabit different thermal habitats (for details
						see Material and Methods).</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230130-gf3.jpg"/>
			</fig>
			<p> Also, there were significant differences in the muscle among the collection sites
				<xref ref-type="table" rid="t3">(Tab. 3)</xref>. SOD activity was lower in BR#1 and BR#2 compare to Ducke, CAT activity was
				higher in BR#1 compare to Ducke, the GST activity was lower in BR#1 compare to Ducke
				and ROS was higher in BR#1 and BR#2 compare to Ducke. There were no differences in
				the GSH activity and LPO.</p>
			<table-wrap id="t2">
				<label>TABLE 2 | </label>
				<caption>
					<title>Superoxide dismutase (SOD) (µMol·min−1·mg−1protein),
						glutathione-S-transferase activity (GST) (µMol·min−1·mg−1 protein), Catalase
						activity (CAT) (µMol H2O2·min−1·mg−1 protein), Levels of lipoperoxidaton
						(LPO) (µMol cumeme hydroperoxide mg. protein), and reactive oxygen species
						(ROS) (area/mg protein) measured in gills of population of <italic>Bryconops
							giacopinii</italic> living at different temperatures. Different letters
						indicate statistical differences by one-way ANOVA p &lt; 0.05.</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1"/>
							<td rowspan="1" colspan="1" align="center"><bold>SOD</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>CAT</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>GSH</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>GST</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>LPO</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>ROS
									(10</bold><bold>5</bold><bold>)</bold></td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1">BR#1</td>
							<td rowspan="1" colspan="1" align="center">60.19a ± 7.03</td>
							<td rowspan="1" colspan="1" align="center">2.22a ± 0.15</td>
							<td rowspan="1" colspan="1" align="center">138.74a ±20.58</td>
							<td rowspan="1" colspan="1" align="center">8.76a ±0.75</td>
							<td rowspan="1" colspan="1" align="center">12.75 ± 0.71</td>
							<td rowspan="1" colspan="1" align="center">4.1 ± 0.44</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1">BR#2</td>
							<td rowspan="1" colspan="1" align="center">121.74b ± 22.25</td>
							<td rowspan="1" colspan="1" align="center">4.04b ±0.46</td>
							<td rowspan="1" colspan="1" align="center">104.87a ± 4.48</td>
							<td rowspan="1" colspan="1" align="center">9.80ab ±0.84</td>
							<td rowspan="1" colspan="1" align="center">13.98 ±1.5</td>
							<td rowspan="1" colspan="1" align="center">2.6 ± 0.15</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1">Ducke</td>
							<td rowspan="1" colspan="1" align="center">136.07b ±20.86</td>
							<td rowspan="1" colspan="1" align="center">3.10ab ± 0.31</td>
							<td rowspan="1" colspan="1" align="center">76.09b ± 6.26</td>
							<td rowspan="1" colspan="1" align="center">13.21b ±1.52</td>
							<td rowspan="1" colspan="1" align="center">12.42 ± 1.02</td>
							<td rowspan="1" colspan="1" align="center">2.2 ± 0.36</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<table-wrap id="t3">
				<label>TABLE 3 | </label>
				<caption>
					<title>Superoxide dismutase (SOD) (µMol·min−1·mg−1protein) glutathione-S-transferase
						activity (GST) (µMol·min−1·mg−1 protein), Catalase activity (CAT) (µMol
						H2O2·min−1·mg−1 protein), Levels of lipoperoxidaton (LPO) (µMol cumeme
						hydroperoxide mg. protein) and reactive oxygen species (ROS) (area/mg
						protein) measured in white muscle of population of <italic>Bryconops
							giacopinii</italic> living at different. Different letters indicate
						statistical differences by one-way ANOVA p &lt; 0.05. temperatures.</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1"/>
							<td rowspan="1" colspan="1" align="center">SOD</td>
							<td rowspan="1" colspan="1" align="center">CAT</td>
							<td rowspan="1" colspan="1" align="center">GSH</td>
							<td rowspan="1" colspan="1" align="center">GST</td>
							<td rowspan="1" colspan="1" align="center">LPO</td>
							<td rowspan="1" colspan="1" align="center">ROS (105)</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">BR#1</td>
							<td rowspan="1" colspan="1" align="center">51.52ª ±10.41</td>
							<td rowspan="1" colspan="1" align="center">0.54a ± 0.09</td>
							<td rowspan="1" colspan="1" align="center">121.12 ± 19.42</td>
							<td rowspan="1" colspan="1" align="center">5.02a ± 0.41</td>
							<td rowspan="1" colspan="1" align="center">11.18 ± 0.19</td>
							<td rowspan="1" colspan="1" align="center">0.2a ± 0.04</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">BR#2</td>
							<td rowspan="1" colspan="1" align="center">78.43ª ± 11.9</td>
							<td rowspan="1" colspan="1" align="center">0.36ab ± 0.05</td>
							<td rowspan="1" colspan="1" align="center">156.26 ± 22.08</td>
							<td rowspan="1" colspan="1" align="center">7.06ab ± 0.40</td>
							<td rowspan="1" colspan="1" align="center">10.28 ± 0.62</td>
							<td rowspan="1" colspan="1" align="center">0.3a ± 0.04</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Ducke</td>
							<td rowspan="1" colspan="1" align="center">136.13b ± 15.21</td>
							<td rowspan="1" colspan="1" align="center">0.21b ± 0.04</td>
							<td rowspan="1" colspan="1" align="center">98.65 ± 13.59</td>
							<td rowspan="1" colspan="1" align="center">7.68b ± 0.38</td>
							<td rowspan="1" colspan="1" align="center">12.68 ± 0.69</td>
							<td rowspan="1" colspan="1" align="center">0.1b ± 0.01</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
		</sec>
		
		
		<sec sec-type="discussion">
			<title>DISCUSSION</title>
			<p>In our study, we observed distinct environmental conditions among collection sites,
				particularly with roadside streams exhibiting higher temperatures and pH levels,
				along with lower oxygen concentrations. These changes are closely associated with
				the deforestation that has occurred along the BR-174 highway. While our data
				represents a single measurement and may not capture the entire thermal dynamics of
				the environments, other studies conducted in Amazonian streams have also documented
				warming trends linked to deforestation (see <xref ref-type="bibr" rid="B23">Ilha <italic>et al.</italic>, 2018</xref>).
				Although data specific to the Tarumã-Açu basin are limited, a recent report
				indicated that temperatures in roadside streams ranged from 29.31°C to 36.07°C
				between September 2019 and July 2020 <xref ref-type="bibr" rid="B12">(Costa, 2020)</xref>. Interestingly, this corresponds
				to the timeframe of our study, suggesting consistency with our observations and
				highlighting the impact of environmental changes on stream temperatures.</p>
			<p> Our study revealed that <italic>Bryconops giacopinii</italic> inhabiting road-side
				streams exhibit alterations in LDH kinetics and antioxidant response systems.
				Through cellular analyses, we were able to identify physiological mechanisms in
				response to increased temperatures. Overall, individuals from roadside habitats,
				which experience higher temperatures, displayed elevated LDH activity for pyruvate
				formation in muscle, increased levels of reactive oxygen species (ROS) production,
				and heightened glutathione (GSH) activity. Conversely, these populations exhibited
				decreased LDH activity for lactate formation in muscle, as well as reduced
				superoxide dismutase (SOD) and glutathione-S-transferase (GST) activity in both
				gills and muscle tissues.</p>
			<p> The absence of oxidative stress, indicated by the lack of changes in lipid
				peroxidation (LPO), suggests that the antioxidant response exhibited by
					<italic>Bryconops giacopinii</italic> effectively detoxifies reactive oxygen
				species. These findings suggest that the species possesses physiological adaptations
				enabling it to thrive in warmer environments.</p>
			<p> It has been established that the kinetic parameters of fish LDH enzymes are
				influenced by their environment <xref ref-type="bibr" rid="B3">(Almeida-Val <italic>et al</italic>., 2006)</xref>.
				However, there is limited evidence regarding alterations in the kinetic properties
				of glycolytic enzymes in Amazonian natural populations inhabiting different
				temperature regimes. LDH, being a pivotal enzyme in glycolysis, has garnered
				attention for its kinetic parameters in the context of thermal adaptations <xref ref-type="bibr" rid="B18">(Fields
					<italic>et al</italic>., 2015)</xref>.</p>
			<p> Our current study revealed that LDH in the forward reaction from Ducke exhibits
				higher Vmax compared to BR#1, while the Kmpyr of LDH among sites collection did not
				differ significantly. The elevation of LDH Vmax in Ducke, despite a constant Km,
				could be attributed to increased anaerobic activity in populations inhabiting colder
				environments. Consequently, LDH activity for pyruvate formation is lower in Ducke
				compared to BR#1. These findings suggest that populations residing in high
				temperatures (BR#1; 29.3°C) enhance lactate oxidation, potentially reflecting their
				utilization of lactate as an aerobic fuel.</p>
			<p> Indeed, during periods of high aerobic demand, such as elevated temperatures or
				exercise, fish tend to increase muscle lactate oxidation to sustain aerobic
				metabolism. <xref ref-type="bibr" rid="B17">Ferreira <italic>et al</italic>. (2018)</xref> demonstrated that the Amazon
				characid <italic>Brycon amazonicus</italic>, known for its high aerobic and swimming
				capabilities, enhances muscle lactate oxidation to meet the demands of exercise.
				Therefore, heightened metabolic demand may enable fishes to utilize lactate as an
				aerobic substrate, consequently improving swimming performance.</p>
			<p> Consistent with this notion, the higher Kmlac (indicative of lower affinity)
				observed in the BR#1 population suggests that under high temperature conditions,
				this species may accumulate lactate in muscle to be utilized when needed.
					<italic>Bryconops giacopinii</italic>, being a rheophilic species inhabiting
				Amazonian streams, consistently swims against the flow, necessitating significant
				muscle work to sustain its lifestyle.</p>
			<p> In vertebrates, the LDH reaction is widely recognized to be in equilibrium (<xref ref-type="bibr" rid="B43">Spriet
				<italic>et al</italic>., 2000</xref>; <xref ref-type="bibr" rid="B35">Quistorff, Grunnet, 2011</xref>), indicating that the
				enzyme’s activity is regulated by concentrations of substrates and products.
				Consequently, alterations in equilibrium may be associated with changes in one of
				these compartments. Our finding shows that when there are changes that reduce the
				affinity for lactate, it can result in more lactate accumulating in tissues. As a
				result, there is an increase in LDH Vmax to speed up the rate at which lactate is
				utilized, especially in individuals living in high-temperature environments. This
				suggests that lactate plays a vital role as a metabolic fuel in such conditions.
				Indeed, a preference for lactate oxidation has been observed in skeletal muscle
				<xref ref-type="bibr" rid="B15">(Donovan, Pagliassotti, 2000)</xref> and cardiac muscle <xref ref-type="bibr" rid="B10">(Chatham <italic>et al.</italic>,
				2001)</xref> during exercised mammals.</p>
			<p> Warming conditions elevate oxygen consumption in ectotherms to cope with heightened
				physiological demands. However, as a by-product of respiration, increased oxygen
				consumption is also associated with the generation of potentially harmful reactive
				oxygen species (ROS) <xref ref-type="bibr" rid="B29">(Madeira <italic>et al</italic>., 2018)</xref>. The production of ROS
				in mitochondria is directly linked to oxygen availability <xref ref-type="bibr" rid="B32">(Pelster <italic>et
					al</italic>., 2020)</xref>. Therefore, the elevation of oxygen consumption to meet
				energy demands under warming conditions may incur cellular costs (<xref ref-type="bibr" rid="B30">Madeira <italic>et
					al.</italic>, 2016a</xref>,<xref ref-type="bibr" rid="B28">b</xref>). Our findings revealed higher ROS production in the BR#1
				population, which inhabits warmer streams. This suggests an upsurge in cellular
				respiration, supporting the hypothesis that these individuals enhance lactate
				oxidation to improve aerobic metabolism.</p>
			<p> Warming-related oxidative stress occurs from the inability of the antioxidant
				defense system to avoid damage caused by ROS (<xref ref-type="bibr" rid="B26">Kültz, 2020</xref>; <xref ref-type="bibr" rid="B41">Somero, 2020</xref>). Herein, we
				showed that the population living in a high-temperature environment presents
				different levels of antioxidant enzymes to detoxify ROS production. In general,
				road-side populations showed lower levels of SOD and GST, while increased CAT and
				GSH in both muscle and gills. Therefore, we showed that to detoxify the increased
				levels of ROS at warming they increased the activity of specific enzymes, while
				decreased others. Theses physiological mechanism seems efficient to deal with
				oxidative stress since no difference was observed increase in LPO levels in both
				tissues. </p>
			<p> The effects of warming on antioxidant and oxidative stress in Amazon species have
				attracted attention in recent years, and the physiological mechanism to detoxify ROS
				production seems specie, temperature, and time-specific (<xref ref-type="bibr" rid="B9">Campos <italic>et
					al</italic>., 2019</xref>; <xref ref-type="bibr" rid="B4">Baldissera <italic>et al</italic>., 2020</xref>). As we observed in
				the present work the decrease in some enzyme activity in fish exposed to warming has
				been reported by many authors. For instance, SOD activity and GPx activity were
				inhibited in <italic>Brycon amazonicus</italic> exposed to 34°C, compared to 28°C
				<xref ref-type="bibr" rid="B4">(Baldissera <italic>et al</italic>., 2020)</xref>. <xref ref-type="bibr" rid="B42">Souza <italic>et al</italic>. (2018)</xref>
				reported significant decreases in muscle SOD activity of <italic>Notothenia
					rossii</italic> and <italic>N. coriiceps</italic> exposed 14 days to 8°C
				compared to 0°C, and <xref ref-type="bibr" rid="B28">Madeira <italic>et al</italic>. (2016b)</xref> showed a decrease in
				muscle SOD activity of <italic>Amphiprion ocellaris</italic> acclimated 28 days to
				30°C compare to 26°C. In contrast, others antioxidant enzymes increased when fish
				are exposed to heat, especially CAT. Exposure to high temperatures can increase the
				formation of H2O2 as showed by <xref ref-type="bibr" rid="B22">Iftikar <italic>et al</italic>. (2014)</xref>. CAT plays the
				primary role in the elimination of H2O2 (López-Cruz <italic>et al</italic>., 2010)
				converting it back to H2O and O2, decreasing the flow of ROS and preventing
				oxidative stress. Indeed, <xref ref-type="bibr" rid="B9">Campos <italic>et al</italic>., 2019</xref> showed that
				acclimation for 30 days to the projected climate future (4°C and 900 ppm above
				current levels) increased CAT activity in the muscle of <italic>Pyrrhulina
					brevis</italic> and <italic>Hyphessobrycon melazonatus</italic>, while
					<italic>Apistogramma agassizii</italic> increased GST. In accordance, we found
				an increase in the CAT activity and GSH levels in road-side individuals, suggesting
				an activation of this antioxidant system to deal with the increase of H2O2
				production in warm living individuals.</p>
			<p> The ability to regulate ROS levels and prevent oxidative damage is a crucial
				mechanism for maintaining cellular homeostasis (<xref ref-type="bibr" rid="B30">Madeira <italic>et al</italic>.,
					2016a</xref>,<xref ref-type="bibr" rid="B28">b</xref>; <xref ref-type="bibr" rid="B37">Rosa <italic>et al</italic>., 2016</xref>). Lipids play a vital role in preserving
				the integrity of cellular membranes, regulating ion gradients, membrane fluidity,
				and permeability <xref ref-type="bibr" rid="B20">(Gaschler, Stockwell, 2017)</xref>. The absence of elevated levels of
				lipid peroxidation (LPO) in populations inhabiting warm environments suggests that
				the antioxidant systems of this species effectively counteract ROS production,
				thereby preserving cellular homeostasis. This indicates that the species is capable
				of physiological adaptation to warming conditions.</p>
			<p> The disparities observed between the roadside streams (BR#1 and BR#2) may stem from
				differences in intrapopulational responses. Factors such as the duration of exposure
				to high temperatures and the duration of species separation could contribute to
				these differences. Additionally, the degree of exposure to temperature variation can
				impact antioxidant enzyme levels. For instance, research by <xref ref-type="bibr" rid="B28">Madeira <italic>et
					al</italic>. (2016b)</xref> demonstrated that mild temperature exposure can enhance
				antioxidant enzyme activity, whereas extreme temperatures lead to a decrease in
				enzyme activities. The decline in SOD and CAT activity observed at BR#1 compared to
				BR#2 could be linked to enzyme denaturation or impaired synthesis within the cells.
				Enzymes are proteins held together by hydrogen bonds, which can weaken when
				temperatures exceed a certain threshold, resulting in denaturation and reduced
				catalytic activity <xref ref-type="bibr" rid="B37">(Rosa <italic>et al</italic>., 2016)</xref>. Tropical species are
				particularly susceptible to temperature changes as they often live near their
				thermal limits. Therefore, even slight increases in temperature can significantly
				impact animal physiology <xref ref-type="bibr" rid="B8">(Campos <italic>et al</italic>., 2021)</xref>.</p>
			<p> Although our work presents important findings, it is not possible to identify if
				these responses are physiological plasticity or result of local adaptation among
				populations, since differences in phenotype are both genetic and environmental
				induced <xref ref-type="bibr" rid="B1">(Allendorf, Luikart, 2007)</xref>. Phenotypic divergence can be caused by genetic
				differences or phenotypic plasticity <xref ref-type="bibr" rid="B45">(Via, Lande, 1985)</xref>. Therefore, the
				differentiation between roadside and Ducke individuals does not necessarily indicate
				local adaptation <xref ref-type="bibr" rid="B11">(Conover, Schultz, 1995)</xref>. Typically, the causes of phenotypic
				variation are assessed by removing the effect of environment via common garden
				and/or reciprocal transplant experiments <xref ref-type="bibr" rid="B21">(Hansen <italic>et al</italic>., 2012)</xref>. To
				understand this evolutionary question, the next step is to acclimate these
				populations to different temperatures to identify possible mechanisms of local
				adaptation or physiological plasticity, which will be important to understand in
				light of climate change.</p>
			<p> In summary, our findings indicate that roadside populations of <italic>Bryconops
					giacopinii</italic> inhabiting high-temperature environments exhibit
				modifications in muscle LDH kinetics parameters, enhancing lactate oxidation. This
				adaptation likely corresponds to increased energetic demands. Furthermore, these
				populations demonstrate elevated levels of CAT and GSH in both gills and muscle,
				aiding in the management of heightened ROS production. The robust antioxidant system
				effectively mitigates oxidative stress, suggesting that this population has adapted
				to survive in warmer environments. Therefore, our study reveals that <italic>B.
					giacopinii</italic> living in a warming world adjust their glycolytic metabolism
				and bolster antioxidant enzymes to meet energy demands without experiencing
				heightened oxidative stress.</p>
		</sec>
	</body>
	
	
	<back>
		<ack>
			<title>ACKNOWLEDGEMENTS</title>
			<p>This study was part of the INCT-ADAPTA supported by the Conselho Nacional de
				Desenvolvimento Científico e Tecnológico (CNPq, process 465540/2014–7), Fundação de
				Amparo à Pesquisa do Estado do Amazonas (FAPEAM, process 062.01187/2017), and
				Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Finance Code
				001). ALV are the recipients of Research fellowships from CNPq. DFC is the recipient
				of a post-doctoral fellowship from FAPESP, and SBM was the recipient of a doctoral
				fellowship from CAPES.</p>
		</ack>
		
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