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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.791748</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison of Phenolic and Flavonoid Content and Antioxidant and Chelating Activities of <italic>Rhizophora mangle</italic> in Different Anthropogenically-Polluted Coastal Lagoons</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gonz&#x00E1;lez-Ocampo</surname> <given-names>H&#x00E9;ctor Abelardo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/107354/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mart&#x00ED;nez-&#x00C1;lvarez</surname> <given-names>Iv&#x00E1;n Guadalupe</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1658501/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jaramillo-Flores</surname> <given-names>Mar&#x00ED;a Eugenia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/109652/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luna-Gonz&#x00E1;lez</surname> <given-names>Antonio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Departamento de Medio Ambiente, CIIDIR Sinaloa &#x2013; Instituto Polit&#x00E9;cnico Nacional</institution>, <addr-line>Sinaloa</addr-line>, <country>Mexico</country></aff>
<aff id="aff2"><sup>2</sup><institution>Laboratorio de Biolog&#x00ED;a, Universidad Aut&#x00F3;noma de Occidente</institution>, <addr-line>Sinaloa</addr-line>, <country>Mexico</country></aff>
<aff id="aff3"><sup>3</sup><institution>Laboratorio: Biopol&#x00ED;meros, ENCB &#x2013; Instituto Polit&#x00E9;cnico Nacional</institution>, <addr-line>Ciudad de M&#x00E9;xico</addr-line>, <country>Mexico</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Naser A. Anjum, Aligarh Muslim University, India</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wilson Thau Lym Yong, Universiti Malaysia Sabah, Malaysia; Nidal Jaradat, An-Najah National University, Palestine</p></fn>
<corresp id="c001">&#x002A;Correspondence: H&#x00E9;ctor Abelardo Gonz&#x00E1;lez-Ocampo, <email>hgocampo@yahoo.com</email></corresp>
<corresp id="c002">Iv&#x00E1;n Guadalupe Mart&#x00ED;nez-&#x00C1;lvarez, <email>igma_biologi@hotmail.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Marine Pollution, a section of the journal Frontiers in Marine Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>791748</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Gonz&#x00E1;lez-Ocampo, Mart&#x00ED;nez-&#x00C1;lvarez, Jaramillo-Flores and Luna-Gonz&#x00E1;lez.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Gonz&#x00E1;lez-Ocampo, Mart&#x00ED;nez-&#x00C1;lvarez, Jaramillo-Flores and Luna-Gonz&#x00E1;lez</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The production of total phenolic content (TPC) and total flavonoid content (TFC), antioxidant (AA), and copper chelating (CACu<sup>+</sup>) activities of <italic>Rhizophora mangle</italic> from three coastal lagoons under different grades of anthropogenic pollution and pollutant presence were analyzed. <italic>R. mangle</italic> is a mangrove plant that inhabits tropical coastal lagoons and shows the ability to accumulate pollutants in their tissues and respond to environmental stressors <italic>via</italic> the production of secondary metabolites AA and CACu<sup>+</sup> activities. In total, 108 samples (June 2010 to August 2011) of leaves, barks, and the roots of <italic>R. mangle</italic> from Magdalena Bay (MBAY), Navachiste Lagoon (NLAG), and Terminos Lagoon (TLAG) (Mexico) were collected. Folin-Ciocalteu colorimetric, aluminum chloride colorimetric, ABTS&#x2219;<sup>+</sup> discoloration, and pyrocatechol-violet methods calculated TPC, TFC, AA, and, CACu<sup>+</sup>, respectively. Atomic absorption spectrometry, gas chromatography, and Walkley&#x2013;Black methods were used to calculate the metal content, organochlorine pesticides (OCPs), and organic matter (OM) in sediments. One-way ANOVA and <italic>post hoc</italic> Tukey&#x2019;s, Scheff&#x00E9;&#x2019;s, and Bonferroni and Holm multiple comparisons were used to determine significance, and Pearson&#x2019;s test was applied to determine the coefficient of correlations. Significant differences among the lagoons of TPC, TFC, AA, and Cu<sup>+</sup>CA activities of <italic>Rhizophora mangle</italic> are explained by their different grades and type of anthropogenic pollution. A significant increase in the TPC and TFC in bark implies a response to the metal and OCPs pollution in surrounding sediments. Significant AA and Cu<sup>+</sup>CA activities responded to combat environmental stress conditions caused by the OCP and trace metal concentrations in surrounding sediments. Strong and positive correlations among OCP and trace metal were found and related to the constant pesticide residues input. However, OCP concentrations in the surrounding sediments of <italic>R. mangle</italic> trees did not influence the phenolic production of AA or the Cu+ CA. <italic>R. mangle</italic> is affected by the type of anthropogenic pollutants and was reflected in the bio-compounds production, antioxidant, and chelating activities related to the concentration of the metals in sediments.</p>
</abstract>
<kwd-group>
<kwd>phenolic compound</kwd>
<kwd>antioxidant</kwd>
<kwd>chelating activity</kwd>
<kwd>Navachiste</kwd>
<kwd>Terminos Lagoon</kwd>
<kwd>Bah&#x00ED;a Magdalena</kwd>
</kwd-group>
<contract-sponsor id="cn001">Instituto Polit&#x00E9;cnico Nacional<named-content content-type="fundref-id">10.13039/501100003069</named-content></contract-sponsor><contract-sponsor id="cn002">Consejo Nacional de Ciencia y Tecnolog&#x00ED;a<named-content content-type="fundref-id">10.13039/501100003141</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="4"/>
<ref-count count="61"/>
<page-count count="12"/>
<word-count count="8530"/>
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</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>In the last decades, the pollution caused by anthropogenic sources has been increasing. Most organic pollutants residues persist in the environment and eventually are discharged, such as the coastal lagoons. The constant input of anthropogenic pollutants, such as oils, trace metals, and pesticides residues maintain mangrove ecosystems constantly stressed (<xref ref-type="bibr" rid="B26">Lewis et al., 2011</xref>). In these areas, the pollutant residues usually attach to the organic matter (OM) found in the sediments and become bioavailable to the marine biota that inhabits these coastal lagoons. The mangrove ecosystems present in these zones are very important because of their role in ecology services, such as primarily the coastal line protection, breeding or reproduction areas, and sediment retention.</p>
<p>Mangroves trees to deal with this pollution stress secrete different molecules, such as catalase, peroxidases, polyphenol oxidase, indoleacetic acid oxidase, carotenoids, and phenolic compounds (<xref ref-type="bibr" rid="B25">Lattanzio et al., 2012</xref>). These compounds are reactive oxygen scavenging species (ROS) that are produced to avoid ROS undesirable potential adverse effects (<xref ref-type="bibr" rid="B36">Rico et al., 2015</xref>), protection against ultraviolet radiation, herbivores, pathogens, salinity, and show antioxidant and chelating properties (<xref ref-type="bibr" rid="B9">Bayen, 2012</xref>; <xref ref-type="bibr" rid="B43">Sivanadanam et al., 2012</xref>; <xref ref-type="bibr" rid="B3">Agati et al., 2013</xref>; <xref ref-type="bibr" rid="B19">Glasenapp et al., 2019</xref>). The antioxidant activity prevents damage from ROS through radical scavenging or as prevention by binding metal ions (<xref ref-type="bibr" rid="B13">Brunetti et al., 2013</xref>), by scavenging of free radicals, or chelating metal traces (<xref ref-type="bibr" rid="B25">Lattanzio et al., 2012</xref>).</p>
<p>The <italic>Rhizophora mangle</italic> is a mangrove species that is distributed on the tropical coast of the world, and Mexico occupies the first line of coastal lagoons in these zones, such as the Navachiste, Terminos, and Bahia Magdalena lagoons. This species is known to produce ROS. Among them are the phenolic compounds, such as procyanidins, catechin, epicatechin, epigallocatechin, epicatechin gallate, quercetin, epicatechin, catechin, hydroxybenzoic acid, kaempferol&#x2013;3&#x2013;&#x03B2;&#x2013;glucopyranoside, quercetin 3&#x2013;O&#x2013;&#x03B2;&#x2013;glucopyranoside, quercetin 3&#x2013;O&#x2013;6&#x2033;-trans-coumaroyl&#x2013;&#x03B2;-glucoside, kaempferol 3&#x2013;O&#x2013;&#x03B2;&#x2013;rutinoside, and quercetin 3&#x2013;O&#x2013;&#x03B2;&#x2013;rutinoside (<xref ref-type="bibr" rid="B15">Costa et al., 2014</xref>). The chelating capacity of phenolic compounds gives <italic>R. mangle</italic> trees the ability to accumulate metal concentrations of the iron plaque deposits in their roots (<xref ref-type="bibr" rid="B27">MacFarlane et al., 2007</xref>). Due that <italic>R. mangle</italic> seems to vary the production of secondary metabolites according to the pollution conditions in the environment, such as the phenolic compounds and their antioxidant or chelating capabilities (<xref ref-type="bibr" rid="B58">Vasavilbazo-Saucedo et al., 2018</xref>; <xref ref-type="bibr" rid="B28">Mart&#x00ED;nez-&#x00C1;lvarez et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Diaz et al., 2021</xref>), it is essential to know if under different pollutant or grade of pollution affect this production.</p>
<p>The hypothesis in this study was to determine that even some environmental conditions affect the concentration of polyphenols in mangroves. It is possible to evaluate how the source and grade of trace metal and organochlorine pesticides pollutants presented in the sediments in different coastal lagoons influence the secretion of phenolic compounds and antioxidant or chelating activities of <italic>R. mangle</italic> against these pollutants.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Sites</title>
<p>The mangrove trees were identified by taxon keys (<xref ref-type="bibr" rid="B38">Rzedowski, 1981</xref>; <xref ref-type="bibr" rid="B4">Agraz-Hern&#x00E1;ndez et al., 2006</xref>). All samples were taxonomically identified by Prof. Jos&#x00E9; Adrian Beltran Magallanes, who is in charge of the Biology School Herbarium of the University of Sinaloa, Mexico. No voucher code is given. Tissues samples were collected from the three coastal lagoons: Terminos Lagoon (TLAG) is located in the Gulf of Mexico (18&#x00B0; 35&#x2032; N and 91&#x00B0; 32&#x2032; W) and is impacted by petroleum-related activities, pesticides, and metals (<xref ref-type="bibr" rid="B10">Ben&#x00ED;tez et al., 2012</xref>); Navachiste Lagoon Complex (NLAG) is located in the south-eastern part of the Gulf of California (25&#x00B0; 28&#x2032; N and 108&#x00B0; 48&#x2032; W) and neighbored by the most prominent agricultural area of Mexico (<xref ref-type="bibr" rid="B35">Reyes-Montiel et al., 2013</xref>; <xref ref-type="bibr" rid="B20">Granados-Galv&#x00E1;n et al., 2015</xref>) that generates pollution from the use of organochlorine pesticides (OCPs) whose residues are disposed into this lagoon; and Magdalena Bay (MBAY) is located in the western part (Pacific) of the Baja California Peninsula (26&#x00B0; 44&#x2032; N and 113&#x00B0; 09&#x2032; W), and it is a low anthropogenic-polluted lagoon free of small or large industries or large-scale agriculture which most of its environmental degradation is due to artisanal fisheries (<xref ref-type="bibr" rid="B45">Sujitha et al., 2019</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Geographical location of the study area and location of sampling sites in Magdalena Bay (MBAY) <bold>(A)</bold>, Navachiste Lagoon complex (NLAG) <bold>(B)</bold>, and Terminos Lagoon (TLAG) <bold>(C)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-791748-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Experimental Design</title>
<sec id="S2.SS2.SSS1">
<title>Mangrove Sample Collection</title>
<p>Three samples of leaves, bark, and roots of <italic>Rhizophora mangle</italic> trees (between 1.5 and 4 m height) were sampled from four sampling sites inside each lagoon during the period of June to August 2011 (<xref ref-type="fig" rid="F1">Figure 1</xref>). To avoid differences between sampled trees, individuals within sampled regions, sites adjoined to effluents drainages from aquaculture or agriculture, or without the apparent influence of these effluents were selected. Tissue samples were analyzed in triplicate. The selection criteria of trees within the regions were focused on individuals above 5 m height, healthy, and close to each other in the same sampling site. Bark and roots samples were collected by scraping the mangrove&#x2019;s tissues with a jack-knife (<xref ref-type="bibr" rid="B29">Naranjo-S&#x00E1;nchez and Troncoso-Olivo, 2008</xref>). Three leaves per tree were randomly removed and were selected without yellowish coloration or signals of broken edges and physical or parasitic damage. Each leaf was cleaned with distilled water and packed in an aluminum foil in a cold dark recipient and transported to be stored in a freezer at the CICIMAR Environmental Laboratory (MBAY), CIIDIR SINALOA Research Center (NLAG), or the University of Campeche in Ciudad del Carmen (TLAG). All tissues samples were individually wrapped with newspaper and were dehydrated slowly at 40&#x00B0;C in a botanical incubator for 7 days (<xref ref-type="bibr" rid="B21">Haq et al., 2011</xref>). After dehydration, the samples were separated and individually milled in a grain grinder (Krups<sup>&#x00AE;</sup> GX 4100, Type F408, Mexico). The powders were stored in black plastic bags under darkness and dry room-temperature conditions.</p>
</sec>
<sec id="S2.SS2.SSS2">
<title>Ethanolic Extracts</title>
<p>All samples were transported to the CIIDIR-IPN Research Center in Durango City, Mexico. Three aliquots per sample were used. Since phenolic compounds have many unsubstituted hydroxyl or sugar groups, they are considered polar and soluble in polar solvents, such as ethanol and water. Briefly, 10 ml of ethanol at 5&#x00B0;C (80%, v/v) was added to each milled dry aliquot (0.5 g) and were shaken on a heating plate (Cimarec<sup>&#x00AE;</sup>, United States) in darkness and room temperature (30 min) and then filtered (Whatman<sup>&#x00AE;</sup> No. 1). Solutions were evaporated to dryness using a water evaporator at 40&#x00B0;C, and a second extraction was done with 10 ml of ethanol at 5&#x00B0;C (80%, v/v). Then, 20 ml of petroleum ether was added to each solution after extraction to remove chlorophyll. All supernatant extracts were kept in darkness and refrigerated until further analysis. The leaf (100 &#x03BC;l), bark (10 &#x03BC;l), and root (20 &#x03BC;l) extracts were placed in a vial and diluted with ethanol (800 g L<sup>&#x2013;1</sup>) at 900, 990, and 980 &#x03BC;l, respectively, at room temperature, to calculate TPC, TFC, ABTS&#x2219; + radical scavenging capacity, and Cu<sup>+</sup> CA (<xref ref-type="bibr" rid="B39">Saiga et al., 2003</xref>).</p>
<p>Absorbance readings (ABS) of TPC (750 nm), TFC (510 nm), and AC (695 nm) were compared with their standard curves with Gallic acid (TPC (Equations 1 and 3), and catechin (TFC) (Equation 2), AC (ABTS&#x2219; +) (Equation 3), and Cu<sup>+</sup> CA chelating rate (Equation 4) equivalent concentrations, respectively.</p>
</sec>
<sec id="S2.SS2.SSS3">
<title>Total Phenolic Content Evaluation</title>
<p>Each extract (100 &#x03BC;l) was mixed with Folin-Ciocalteu reagent (750 &#x03BC;l) diluted ten times with distilled water, and kept in darkness (5 min); then, a 60 g L<sup>&#x2013;1</sup> solution of Na<sub>2</sub>CO<sub>3</sub> (750 &#x03BC;l) was added to neutralize the reaction and incubated for 90 min to read the absorbance (750 nm) to estimate the TPC expressed as Gallic acid equivalents (GAE) per 100 g dry basis (db) (mg GAE 100 g<sup>&#x2013;1</sup> db). A standard curve of Gallic acid (SIGMA<sup>&#x00AE;</sup> Cat. G7384) was read at 750 nm in a Thermo Scientific<sup>&#x00AE;</sup> Spectrophotometer UV-VIS GENESYS<sup>&#x00AE;</sup> 10 s (<italic>r</italic><sup>2</sup> = 0.9968) (<xref ref-type="bibr" rid="B1">Adom and Liu, 2002</xref>) (Eq. 1).</p>
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<title>Total Flavonoid Content Evaluation</title>
<p>Based on the aluminum chloride colorimetric method (<xref ref-type="bibr" rid="B46">Sultana et al., 2009</xref>), 100 &#x03BC;l of each extract was mixed with 75 &#x03BC;l of NaNO<sub>2</sub> (50 g L<sup>&#x2013;1</sup>). After 5 min, 75 &#x03BC;l of AlCl<sub>3</sub> (100 g L<sup>&#x2013;1</sup>) was added, and 6 min later, 500 &#x03BC;l of NaOH (40 g L<sup>&#x2013;1</sup>) and 600 &#x03BC;l of distilled water were added. The solution was mixed and the absorbance (510 nm) was read within 30 min in the Thermo Scientific<sup>&#x00AE;</sup> and expressed in milligrams of catechin per gram dry basis (mg CE 100 g<sup>&#x2013;1</sup> db). The standard curve was performed with a standard solution (0.1 mg ml<sup>&#x2013;1</sup>, catechin hydrate, SIGMA<sup>&#x00AE;</sup>, Cat. QO125) (Eq. 2).</p>
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<sec id="S2.SS2.SSS5">
<title>Antioxidant Activity Assay</title>
<sec id="S2.SS2.SSS5.Px1">
<title>ABTS&#x2219; + Radical-Scavenging Capacity Evaluation</title>
<p>The discoloration method (<xref ref-type="bibr" rid="B7">Arnao et al., 2001</xref>) was carried out with some modifications. ABTS&#x2219;<sup>+</sup> (0.0384 g) and K<sub>2</sub>S<sub>2</sub>O<sub>8</sub> (0.0066 g) solutions were diluted with 10 ml of distilled water and incubated for 12 h to obtain radical ABTS<sup>+</sup> solution, which was diluted in 550 &#x03BC;l (working solution) to 50 ml in ethanol. The ABTS<sup>+</sup> solution was diluted with distilled water to a 0.70 absorbance (SD = 0.02) at 734 nm at room temperature (<xref ref-type="bibr" rid="B32">Pawlak et al., 2010</xref>) in the Thermo Scientific<sup>&#x00AE;</sup> Spectrophotometer. An aliquot (990 &#x03BC;l) of ABTS<sup>+</sup> standard solution (SIGMA<sup>&#x00AE;</sup>, Cat. A1888) supplemented with ethanol (800 g L<sup>&#x2013;1</sup>, 10 &#x03BC;l) and an aliquot sample from the previously prepared dilutions (triplicate) were read every minute for 7 min, calculating the scavenging activity (Equation 3):</p>
<disp-formula id="S2.E3">
<label>(3)</label>
<mml:math id="M3">
<mml:mrow>
<mml:mtext>ABTS</mml:mtext>
<mml:mo>&#x2219;</mml:mo>
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<mml:mn>734</mml:mn>
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</mml:mrow>
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</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>]</mml:mo>
</mml:mrow>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where: <italic>Abs sample</italic> = sample absorbance; <italic>Abs control</italic> = control absorbance; <italic>T</italic><sub>0</sub> = minute zero; <italic>T<sub>5</sub></italic> = 5 min. The absorbance decrease was expressed as the inhibition percentage of ABTS<sup>+</sup> expressed as Trolox equivalent per gram of dry basis (20&#x2013;200 &#x03BC;mol L<sup>&#x2013;1</sup>).</p>
</sec>
</sec>
<sec id="S2.SS2.SSS6">
<title>Determination of Cu<sup>+</sup> CA</title>
<p>The method described by <xref ref-type="bibr" rid="B39">Saiga et al. (2003)</xref> was used. A mixed solution of 290 &#x03BC;l of 50 mM acetate buffer (pH 6.0), 6 &#x03BC;l of 4 mM pyrocatechol violet, copper (20 &#x03BC;l), and 1 &#x03BC;g (10 &#x03BC;l) (CuSO<sub>4</sub> 5H<sub>2</sub>0) was added to each aliquot sample (by triplicate). The Abs of change of color from blue to yellow was measured at 632 nm in a Thermo Scientific<sup>&#x00AE;</sup> Spectrophotometer. The standard was an aliquot of Kupfer (II)&#x2014;sulfate standard solution (Merck<sup>&#x00AE;</sup>, Cat. 202790) (Eq. 4):</p>
<disp-formula id="S2.E4">
<label>(4)</label>
<mml:math id="M4">
<mml:mrow>
<mml:mrow>
<mml:mi>C</mml:mi>
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<mml:msub>
<mml:mtext></mml:mtext>
<mml:mn>732</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
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<mml:mn>0</mml:mn>
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<mml:mrow>
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<mml:mn>1</mml:mn>
</mml:mpadded>
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<mml:mrow>
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<mml:mo>&#x2062;</mml:mo>
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</mml:mrow>
</mml:math>
</disp-formula>
<p>Where: <italic>A</italic><sub>0</sub> = absorbance of the control (blank, without extract); <italic>A</italic><sub>1</sub> = absorbance in the presence of the extract; and; <italic>Cu</italic> = chelating activity assay.</p>
</sec>
<sec id="S2.SS2.SSS7">
<title>Textural Class of Sediments</title>
<p>The particle size and clay type of all sediment samples were analyzed in the Environmental Pollution Laboratory of the CIIDIR-IPN Research Centre in Sinaloa (CIIDIR-SINALOA), Mexico. Four sediments samples were collected from each collecting point in the three lagoons. The textural class of the soil was determined with the Bouyoucos method (<xref ref-type="bibr" rid="B11">Bouyoucos, 1962</xref>). Three replicas for a given sample (50 g) of soil (dry and 2-mm sieved) per sample were analyzed. Each replica was placed in a cup filled with distilled water up to 5&#x223C;6 cm above the sediment supplied with 35 ml of 1 N sodium hexametaphosphate. Each replica was thoroughly mixed (for high clay soils: allow to slake (soak) for 15 min; for sandy soils: mix for 5 min, and for finely textured soils: mix for 15 min). The soil suspensions were transferred to a sedimentation cylinder and diluted in 1 L of water. A hydrometer was placed inside the cylinder, filling with water to the 1,150 ml mark. The hydrometer was removed and was sealed each time at the top of the cylinder with parafilm. The cylinder was tilted back and forth for thorough mixing several times and set on a stable surface. The hydrometer was placed into it, and the 40 s timing was immediately recorded when it was read. The hydrometer was removed from the cylinder. The time and temperature were recorded and started a 2 h setting period. A control blank cylinder (water; 5 ml of l N sodium hexametaphosphate) was prepared, and both were read as follows:</p>
<p>Temperature correction factor (T&#x00B0;C) = (observed temperature &#x2013; 20&#x00B0;C) &#x00D7; 0.03.</p>
<p>Corrected 40 s reading: 40 s (T&#x00B0;C): 40 s reading &#x2013; Blank reading + T&#x00B0;C.</p>
<p>Corrected 2 h reading: 2 h (T&#x00B0;C) = 2 h reading &#x2013; blank reading + T&#x00B0;C.</p>
<p>Particle percentages: <italic>Sand</italic> (%) = (2 - 0.05 mm): [Oven dry soil weight &#x2013; 40 s reading (c)] + [oven dry soil weight] &#x00D7; 100%; <italic>Clay</italic> (%) = (&#x003C; 0.002 mm): [2 h reading (c)] &#x00D7; [oven dry soil weight]<sup>&#x2013;1</sup> &#x00D7; 100%; <italic>Silt</italic> (%) = (0.05 - 0.002 mm): 100 - (% sand + % clay).</p>
<p>We determined the textural classes of the soil sample using the textural triangle.</p>
</sec>
<sec id="S2.SS2.SSS8">
<title>Trace Metal Elements in Sediment</title>
<p>Eight sediment samples per coastal lagoon, two samples per sampling point (<italic>n</italic> = 72), were collected with a Teflon spoon and immediately placed into polyethylene bags, stored in an icebox, and then kept in a freezer for preservation until analysis in the Environmental Pollution Laboratory in the CIIDIR-SINALOA.</p>
<p>Acidic digestion was used to determine Fe, Cu, Pb, Ni, Cd, and Mn contents (<xref ref-type="bibr" rid="B12">Breder, 1982</xref>). Each sediment sample was dried (60&#x00B0;C) for 48&#x2013;96 h and homogenized by grinding. Then, 0.5 g of each sample was placed on the heating plates with 5 ml aqua regia (1:3 HCl: HNO3) and kept until dryness was achieved again. After cooling, the solution was adjusted to 50 ml with deionized water and stored in plastic vials until analysis. The total content of metals was determined by flame atomic absorption spectroscopy (GBC<sup>&#x00AE;</sup> Avanta) (air-acetylene flame), recovering over 90%. Reference materials (PACS-2, Marine Sediment Reference Materials for Trace Metals and other Constituents, National Research Council, Canada) were used to ensure standardization.</p>
</sec>
<sec id="S2.SS2.SSS9">
<title>Organochlorine Pesticides</title>
<p>Eight sediment samples per coastal lagoon, two samples per sampling point, were collected with a Teflon<sup>&#x00AE;</sup> spoon, wrapped carefully in aluminum foils, and stored in polyethylene bags. Samples were kept in a cooler with ice for preservation and transported to the Environmental Pollution Laboratory of the CIIDIR-SINALOA.</p>
<p>The USEPA 8270, 508, 8081b, 3660, 3500, and 3600 extraction technics were conducted (<xref ref-type="bibr" rid="B49">Usepa, 1995</xref>, <xref ref-type="bibr" rid="B50">1996a</xref>, <xref ref-type="bibr" rid="B51">1996b</xref>, <xref ref-type="bibr" rid="B52">1998</xref>, <xref ref-type="bibr" rid="B53">2007a</xref>, <xref ref-type="bibr" rid="B54">2007b</xref>, <xref ref-type="bibr" rid="B55">2007c</xref>). In general, 5 g of dried sediment was added to an Erlenmeyer flask adding enough dichloromethane to cover the sediment and immediately was sonicated for 15 min (repeated three times). The dichloromethane was removed at &#x223C;150 ml each time (method 3550). After that, a sodium sulfate tap was placed in a fiberglass funnel, removing the rest of the dichloromethane particles and placing the flask in a rotavapor until dryness to recover 2 ml of hexane.</p>
<p>Gas chromatograph Perkin Elmer<sup>&#x00AE;</sup> AutoSystem XL, with an electron capture detector (ECD), coupled to the Navigator software &#x00A9; V. 6.3.1., provided with a J&#x0026;W<sup>&#x00AE;</sup> DB 5&#x2013;30 m (0.25 mm internal diameter capillary column, 5% diphenyl-95% dimethylpolysiloxane), was used to determine the OCPs. Briefly, 1 &#x03BC;l of the hexane-diluted OCP sample was injected into the chromatograph. OCPs were identified by their retention times, and quantitation was calculated on peak height/area and by comparison with the results of the reference standard (SUPELCO<sup>&#x00AE;</sup> 48858-U Sigma-Aldrich) that included the OCP analytes: &#x03B1;&#x2013;BHC, &#x03B2;&#x2013;BHC, lindane, &#x03B4;&#x2013;BHC, aldrin, 6&#x2013;hydroxy-2&#x2013;naphthyl disulfide, 1,1&#x2013;dichloro&#x2013;2,2&#x2013;bis (4&#x2013;chlorophenyl) ethane, 4,4&#x2032;&#x2013;DDT, dieldrin, &#x03B1;&#x2013;endosulfan, &#x03B2;&#x2013;endosulfan, endosulfan sulfate, endrin, endrin aldehyde, heptachlor, heptachlor exo-epoxide, and methoxychlor.</p>
</sec>
<sec id="S2.SS2.SSS10">
<title>Organic Matter in Sediments</title>
<p>In the Environmental Pollution Laboratory of the CIIDIR-SINALOA, the chromic and sulfuric acid methods (<xref ref-type="bibr" rid="B59">Walkley and Black, 1934</xref>) were used. A 100 g sample of soil was weighed and placed into a 500 ml Erlenmeyer flask containing 10 ml of 1 N potassium dichromate solution. Then, 20 ml of sulfuric acid was added and mixed by gently rotating for 1 min. Samples were left for 30 min and then diluted with deionized water (200 ml). After dilution, 10 ml of phosphoric acid, 0.2 g ammonium fluoride, and 10 drops of diphenylamine indicator were added. The mixture (drop by drop) was titrated with 0.5 N ferrous ammonium sulfate solution until the endpoint from dull green to a brilliant green. Three replicas per sample and one quality control sample was analyzed for each set of samples with the following equation:</p>
<p>% Organic Matter = 10[1(S&#x00F7;B)] &#x00D7; 0.67</p>
<p>Where, S = sample titration; B = blank titration.</p>
</sec>
<sec id="S2.SS2.SSS11">
<title>Statistical Analysis</title>
<p>One-way ANOVA to analyze the differences in TPC, TFC, ABTS&#x2219; +, and Cu<sup>+</sup> CA, OCP, metal, OM, and phosphate concentrations in sediments was applied, and if significant differences were found (<italic>p</italic> &#x003C; 0.05), a <italic>post hoc</italic> honestly comparison tests (HSD) Tukey&#x2019;s, Scheff&#x00E9;&#x2019;s, and Bonferroni and Holm multiple were used (<xref ref-type="bibr" rid="B57">Vasavada, 2014</xref>). Pearson&#x2019;s analysis was performed using SIGMA PLOT<sup>&#x00AE;</sup> software to obtain the coefficient of correlations (<italic>r</italic>) of TPC, TFC, AA, and Cu<sup>+</sup> CA per tissue among sites and tissues within sites, among bio compounds, and AA and Cu<sup>+</sup> CA activities with trace metal concentrations.</p>
<p>The mean concentration and standard deviation (SD) were calculated for trace metals and OCPs and compared with the average continental crust metal concentration (<xref ref-type="bibr" rid="B47">Taylor, 1964</xref>) to determine the enrichment rate. A regression analysis was carried out to determine the coefficient of determination (<italic>r</italic><sup>2</sup>) among trace metals.</p>
</sec>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Total Phenolic Content</title>
<p>Among lagoons, ANOVA and Tukey&#x2019;s HSD test showed higher TPC in the leaves extracts from MBAY (<italic>p</italic> &#x003C; 0.01) and bark extracts in TLAG (<italic>p</italic> &#x003C; 0.01) (<xref ref-type="fig" rid="F2">Figure 2A</xref>), while within lagoons, significant higher TFC in the bark was found in the three lagoons (<italic>p</italic> &#x2264; 0.05) (<xref ref-type="fig" rid="F2">Figure 2B</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Biocompounds concentrations <bold>(A&#x2013;D)</bold> (average &#x00B1; SD), AA <bold>(E,F)</bold>, and chelating activities <bold>(G,H)</bold> of leaves, bark, and roots of <italic>R. mangle</italic> among and within MBAY, NLAG, and TLAG. Different letters show significant statistical differences (<italic>p</italic> &#x2264; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-791748-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Total Flavonoid Content</title>
<p>One-way ANOVA and Tukey&#x2019;s HSD test among lagoons showed the highest significant TFC (<italic>p</italic> = 0.002) in the bark extracts from MBAY (<italic>p</italic> &#x003C; 0.05) (<xref ref-type="fig" rid="F2">Figure 2C</xref>). Within lagoons, higher significant TFC was found in the bark extracts from TLAG and MBAY (<italic>p</italic> &#x2264; 0.01) (<xref ref-type="fig" rid="F2">Figure 2D</xref>).</p>
</sec>
<sec id="S3.SS3">
<title>Antioxidant ABTS&#x2219; + Radical-Scavenging Capacity</title>
<p>One-way ANOVA results showed significant differences (<italic>p</italic> &#x003C; 0.0005) in leaf extracts in MBAY (<italic>p</italic> &#x003C; 0.0001), and bark and root extracts (<italic>p</italic> &#x003C; 0.05) from TLAG (<xref ref-type="fig" rid="F2">Figure 2E</xref>). Within lagoons, antioxidant activities were found in the bark extracts in MBAY, NBay, and Tag (<italic>p</italic> &#x2264; 0.01) (<xref ref-type="fig" rid="F2">Figure 2F</xref>).</p>
</sec>
<sec id="S3.SS4">
<title>Copper Chelating Activity</title>
<p>Among and within lagoons, one-way ANOVA and <italic>post hoc</italic> HSD showed no significant differences in the Cu<sup>+</sup> CA chelating activity (<xref ref-type="fig" rid="F2">Figures 2G,H</xref>).</p>
</sec>
<sec id="S3.SS5">
<title>Organic Matter in Sediments</title>
<p>One-way ANOVA and <italic>post hoc</italic> HSD showed no significant differences within-sample collecting sites and among lagoons (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Organic matter (OM) concentration <bold>(A,B)</bold>, PO<sub>4</sub> <bold>(C,D)</bold>, and textural classes <bold>(E,F)</bold> (average &#x00B1; SD) in sediments from MBAY, NLAG, and TLAG. Different letters show significant statistical differences (<italic>p</italic> &#x2264; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-791748-g003.tif"/>
</fig>
<p>Organic matter correlation was strong and significant with Cu (&#x2212;0.79), Pb (&#x2212;0.85), Ni (&#x2212;0.87), Zi (0.82), and Cd (&#x2212;0.15) in NLAG. In TLAG, OM showed significant (<italic>p</italic> &#x003C; 0.05) strong positive linear correlations with Cu (0.87), Pb (0.79), and Cd (0.78). In MBAY, OM showed no significant correlations with the variables analyzed (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Coefficient of correlation among bioactive compounds (TPC, TFC), antioxidant and chelating activities, organic matter (OM), and PO4 of <italic>R. mangle</italic> and with trace metals and OCPs in sediment.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<tbody>
<tr>
<td valign="top" align="center"><inline-graphic xlink:href="fmars-09-791748-t001.jpg"/></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S3.SS6">
<title>Textural Class in Sediments</title>
<p>The soil texture structure of sediments among lagoons was similar in the sand, silt, and clay in TLAG (47, 24, and 29%, respectively) and MBAY (87, 11, and 2%, respectively). NLAG was different in silt, clay, and sand (42, 37, and 21 silt%, respectively) (<xref ref-type="fig" rid="F3">Figure 3C</xref>). Within the lagoons, the textural NLAG was different compared with the other two lagoons (<xref ref-type="fig" rid="F3">Figure 3D</xref>).</p>
</sec>
<sec id="S3.SS7">
<title>Phosphates</title>
<p>Within lagoons, one-way ANOVA showed no significant differences (<italic>p</italic> &#x003C; 0.01) in the PO<sub>4</sub> concentrations (<xref ref-type="fig" rid="F3">Figure 3E</xref>) and showed significant higher PO<sub>4</sub> concentrations (<italic>p</italic> &#x003C; 0.05) in MBAY (<xref ref-type="fig" rid="F3">Figure 3F</xref>).</p>
</sec>
<sec id="S3.SS8">
<title>Metal Content in Sediments</title>
<p>The trace metals above continental crust average concentrations were in MBAY, the Pb; in NLAG were Pb and Zn; and in TLAG were Cu, Pb, Ni, and Cd (<xref ref-type="table" rid="T2">Table 2</xref>). One-way ANOVA showed significantly higher concentrations (<italic>p</italic> &#x003C; 0.05) of Mn and Fe in NLAG among lagoons (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Concentrations of trace metals in sediments (mg&#x2219;kg<sup>&#x2013;1</sup> db) except Fe (%).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<tbody>
<tr>
<td valign="top" align="center"><inline-graphic xlink:href="fmars-09-791748-t002.jpg"/></td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Trace metal concentrations (average &#x00B1; SD) in surrounding sediments of <italic>R. mangle</italic> from MBAY, NLAG, and TLAG. Different letters show significant statistical differences (<italic>p</italic> &#x2264; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-791748-g004.tif"/>
</fig>
<p>The trace metal concentrations (higher to lower) in MBAY were Fe &#x003E; Mn &#x003E; Ni &#x003E; Zn &#x003E; Pb &#x003E; Cu &#x003E; Cd; in NLAG were Fe &#x003E; Mn &#x003E; Zn &#x003E; Cu &#x003E; Ni &#x003E; Pb &#x003E; Cd; and in TLAG were Fe &#x003E; Mn &#x003E; Zn &#x003E; Ni &#x003E; Pb &#x003E; Cu &#x003E; Cd.</p>
<p>In TLAG, strong and significant (<italic>p</italic> &#x003C; 0.05) positive correlations were found between OM and Cu, Pb, and Cd (0.87, 0.79, and 0.78, respectively), and significant (<italic>p</italic> &#x003C; 0.05) and negative correlations were found between PO<sub>4</sub> with Fe and Ni (&#x2212;0.70). In NLAG, OM showed negative and significant (<italic>p</italic> &#x003C; 0.05) correlations with Cu, Ni, and Mn (&#x2212;0.79, &#x2212;0.85, and &#x2212;0.15, respectively), and a strong positive and significant correlation (<italic>p</italic> &#x003C; 0.05) with Cd (0.82). In MBAY, no significant correlations (<italic>p</italic> &#x003E; 0.05) were found (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="S3.SS9">
<title>Organochlorine Pesticides in Sediments</title>
<p>Organochlorine pesticide concentrations were detected in TLAG and NLAG. The highest OCPs proportions in TLAG were methoxychlor, &#x03B2;&#x2013;BHC, &#x03B4;&#x2013;BHC, and &#x03B3;&#x2013;chlordane. In NLAG, the highest OCP proportions were &#x03B2;&#x2013;BHC, &#x03B4;&#x2013;BHC, and &#x03B3;&#x2013;chlordane. In TLAG, were &#x03B2;&#x2013;BHC, &#x03B4;&#x2013;BHC, and &#x03B4;&#x2013;chlordane (<xref ref-type="fig" rid="F5">Figure 5</xref>). No significant correlations (<italic>p</italic> &#x003E; 0.05) were found among OCP concentrations with bio compounds, AA, and Cu<sup>+</sup> CA.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Organochlorine pesticides (OCP) concentrations (average &#x00B1; SD) in sediments from MBAY, NLAG, and TLAG. Different letters show significant statistical differences (<italic>p</italic> &#x2264; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-791748-g005.tif"/>
</fig>
</sec>
<sec id="S3.SS10">
<title>Bioactive Compounds, AA, Cu<sup>+</sup> CA, Trace Metal, and OCP Correlations</title>
<p>Among TFC, TPC, and AA within lagoons revealed significant correlations (<italic>p</italic> &#x003C; 0.05), but no significant correlations were detected among trace metals with TFC, TPC, AA, and Cu<sup>+</sup> CA.</p>
<p>In MBAY, TPC showed significant positive (<italic>p</italic> &#x003C; 0.05) and robust correlations with TFC and AA and weak positive correlation with Cu<sup>+</sup> CA, while TFC showed significant positive (<italic>p</italic> &#x003C; 0.05) and robust correlations with AA. In NLAG, Cu<sup>+</sup> CA showed significant positive (<italic>p</italic> &#x003C; 0.05), and weak correlation with AA, a significant (<italic>p</italic> &#x003C; 0.05) negative correlations with Cu and Ni, a significant positive (<italic>p</italic> &#x003C; 0.05), medium correlation with Cd, moderate correlation with endrin but a significant negative (<italic>p</italic> &#x003C; 0.05) correlation with methoxychlor. The OM showed a significant positive and weak correlation (<italic>p</italic> &#x003C; 0.05) with &#x03B4;&#x2013;BHC and significant negative and high correlations with endrin and methoxychlor in this lagoon. The PO<sub>4</sub> showed a significant (<italic>p</italic> &#x003C; 0.05) and moderate correlation with &#x03B4;&#x2013;BHC. In TLAG, AA showed a significant positive and robust correlation with TPC and TFC, and the Cu<sup>+</sup> CA showed significant negative and medium correlations with Cu, Zn, and Mn. The OM in this lagoon showed significant positive and robust correlations with Cu, Pb, and Cd and significant negative and medium correlations with Fe and Ni. The PO<sub>4</sub> showed a significant negative and moderate correlation with Fe. In TLAG, &#x03B3;&#x2013;chlordane, &#x03B4;&#x2013;BHC, and &#x03B2;&#x2013;BHC showed significant (<italic>p</italic> &#x003C; 0.05) and positive correlations with Fe (0.63, 0.92, and 0.95, respectively). &#x03B2;&#x2013;BHC had a significant (<italic>p</italic> &#x2264; 0.05) and strong positive correlation with Ni (0.95) and PO<sub>4</sub> (0.63); negative correlation with Cd and OM (&#x2212;0.56 and &#x2212;0.65, respectively) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The significant differences among lagoons of TPC, TFC, AA, and Cu<sup>+</sup> CA activities of <italic>R. mangle</italic> are explained by their different grades and the type of anthropogenic pollution. Specifically to TPC, in TLAG where the oil extraction of the Campeche sound and the agriculture residues highly impact this lagoon and the significant increase in the TPC in bark extracts could be due to the stress response to the metal and OCPs pollution, previously reported in mangrove species (<xref ref-type="bibr" rid="B23">Jithesh et al., 2006</xref>; <xref ref-type="bibr" rid="B24">Krishnamoorthy et al., 2011</xref>). MBAY, less anthropogenically impacted than the other two, presented a significantly higher TFC in bark extracts. MBAY is constantly affected by the enrichment of trace metals due to natural causes, such as currents, upwelling, primary productivity, volcanism, and tectonic activity (<xref ref-type="bibr" rid="B42">Shumilin et al., 2005</xref>; <xref ref-type="bibr" rid="B37">Rodr&#x00ED;guez-Meza et al., 2007</xref>). The TPC increase in the species <italic>R. mangle</italic> in MBAY could be due to the high concentrations of Cu, Pb, Ni, Zn, and Cd present in sediments as previously reported in other mangrove zones (<xref ref-type="bibr" rid="B44">Souza et al., 2014</xref>). The significant higher TFC in the bark of MBAY could be related to the vacuolar flavonoids, which constitute a secondary antioxidant system activated under severe stress conditions or to the regulation of different protein kinases activities responsible for mediating ROS-induced signaling cascades (<xref ref-type="bibr" rid="B2">Agati et al., 2012</xref>; <xref ref-type="bibr" rid="B13">Brunetti et al., 2013</xref>). Even in this study, leaves without visible damages or yellowish color or order to the apical bud were selected; no significant TPC or TFC differences in leaf extracts were found among and within lagoons. Nevertheless, since the composition of phenolic compounds is influenced by the position in the tree branches or on the shoot (<xref ref-type="bibr" rid="B60">Wongsen et al., 2013</xref>; <xref ref-type="bibr" rid="B56">Vagiri et al., 2015</xref>), studies are recommended regarding the TPC and TFC and leaf&#x2019;s position in this species.</p>
<p>The adaptation mechanisms to combat the environmental stress conditions of mangroves increased the AA significantly in the bark of <italic>R. mangle</italic> in TLAG. The positive and strong correlation of AA with the concentrations of TPC (<italic>r</italic><sup>2</sup> = 0.88) and TFC (<italic>r</italic><sup>2</sup> = 0.95) has been previously reported in <italic>Rhizophora</italic> species (<xref ref-type="bibr" rid="B8">Asha et al., 2012</xref>) and is partly due to phenol compounds (<xref ref-type="bibr" rid="B61">Zhang et al., 2010</xref>). In <italic>R. mangle</italic>, the significantly higher AA in the bark from TLAG was correlated with the higher flavonoids and its production has been related as a defense mechanism to the abiotic stress (<xref ref-type="bibr" rid="B13">Brunetti et al., 2013</xref>; <xref ref-type="bibr" rid="B41">Shivashankara et al., 2016</xref>), possibly due to the high trace metal concentrations in sediments. Limiting nutrients in mangrove plants is caused by the deficiencies of P, N<sub>2</sub>, Fe, or Mg (<xref ref-type="bibr" rid="B6">Almahasheer et al., 2016</xref>; <xref ref-type="bibr" rid="B5">Alhassan and Aljahdali, 2021</xref>), and significant higher phosphorus values (<italic>p</italic> &#x003C; 0.005) were found in MBAY, but no significant correlation with bio compounds, antioxidant, or chelating activities was determined. It implies that requirements in this nutrient in <italic>R. mangle</italic> were covered, and the production of phenolic compounds was not stimulated. The significant trace metal concentrations in the bark extract from TLAG and NLAG highlight the importance of this tissue against trace metals pollution in surrounding sediments, that after specific concentrations, generate stress (<xref ref-type="bibr" rid="B9">Bayen, 2012</xref>). The stored polyphenolic compounds in the bark of <italic>R mangle</italic> species have shown chelating properties (<xref ref-type="bibr" rid="B40">Sanchez et al., 2006</xref>), and the significant higher Cu<sup>+</sup> CA (<italic>p</italic> &#x003C; 0.05) could be related to the higher concentrations of Cu, Pb, Zn, and Cd in TLAG, or Mn in NLAG. In MBAY, the metal bioaccumulation has been occurring due to lithological characteristics and the hydrothermal processes of the lagoon (<xref ref-type="bibr" rid="B45">Sujitha et al., 2019</xref>), for which the concentrations of Cd, Cu, and Zn in <italic>R. mangle</italic> have been previously described in root &#x003E; bark &#x003E; leaf (<xref ref-type="bibr" rid="B29">Naranjo-S&#x00E1;nchez and Troncoso-Olivo, 2008</xref>). Nevertheless, it is necessary to analyze whether the bio-disposition of metals in the sediments in both lagoons was affected by the pH, salinity, or redox potential (<xref ref-type="bibr" rid="B31">Parra and Espinosa, 2008</xref>).</p>
<p>A correlation between high organic carbon content with high OCP concentrations in sediments has been reported (<xref ref-type="bibr" rid="B18">Eqani et al., 2011</xref>). In contrast, previous reports in the area have not found a correlation between OCPs concentration in edible tissues and dry-rainy seasons (<xref ref-type="bibr" rid="B35">Reyes-Montiel et al., 2013</xref>; <xref ref-type="bibr" rid="B20">Granados-Galv&#x00E1;n et al., 2015</xref>). Instead of the seasons or rain periods, Cl<sup>&#x2013;1</sup>, total P, and electrical conductivity (EC) have been reported to be essential for causing the variations in OCP concentrations in sediments (<xref ref-type="bibr" rid="B18">Eqani et al., 2011</xref>), even it is possible that OCP concentrations in the surrounding sediments of <italic>R. mangle</italic> trees in the present study could not influence the phenolic production, the AA, or the Cu<sup>+</sup> CA. Nevertheless, correlations among OCP and trace metal in mangrove sediments have been reported to be related to pesticide pollution (<xref ref-type="bibr" rid="B16">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B22">Ji et al., 2021</xref>), which is corroborated in the present study, that in NLAG and TLAG where strong positive correlations between OCPs and some trace metal concentrations (Cd, Ni, Zn, Mn, and Fe) were found. These lagoons are constantly being polluted by anthropogenic sources, such as the oil extraction industry as in TLAG (<xref ref-type="bibr" rid="B14">Celis-Hernandez et al., 2022</xref>) or intensive agriculture in NLAG (<xref ref-type="bibr" rid="B33">Ponce-V&#x00E9;lez and Botello, 2018</xref>). In the present study, the detected POCs have been banned internationally, according to the Stockholm Convention (<xref ref-type="bibr" rid="B48">Templeton, 2020</xref>). However, it is remarkable that the recent uses of OCPs are banned, such as &#x03B3; &#x2013;Chlordane, &#x03B4;&#x2013;BHC, &#x03B2;&#x2013;BHC, Endrin, and Methoxychlor, probably due to illegal buying and selling through countries which production is still occurring (<xref ref-type="bibr" rid="B30">Ort&#x00ED;z et al., 2014</xref>) and illegally introduced by Port or Border Customs and clandestine applications.</p>
<p>The species <italic>R. mangle</italic> is well adapted to environmental stress and is capable of responding to different pollution scenarios (<xref ref-type="bibr" rid="B44">Souza et al., 2014</xref>). However, in the present study, it was evident that metal concentrations influenced the production of the phenolic compounds, AA, and chelating activities more than PO<sub>4</sub>, Nitrogen, OCP, OM, or textural classes in surrounding sediments. The three lagoons studied here are impacted under the different grades of pollution and pollutants, but the conspicuous production of TPC, TFC, and the AA and chelating activities was higher in the NLAG y TLAG where higher anthropogenic pollutants were determined. These lagoons are constantly impacted by anthropogenic activities, especially the intensive agriculture and oil extraction industry (<xref ref-type="bibr" rid="B34">Ram&#x00ED;rez-Ayala et al., 2020</xref>). Regarding the response to environmental stress, a transcriptomic gene expression study in <italic>R. mangle</italic> will determine which gene is turned on or off in <italic>R. mangle</italic> under the extreme variable environment, such as the anthropogenic pollution grade or pollutants to understand the mechanisms that are activated during immune responses in plants. Finally, the present study results showed that <italic>R. mangle</italic> could be modulating their phenolic compounds production, antioxidant and chelating activities in tissues according to the pollution grade and pollutants presence in MBAY, TLAG, and NLAG lagoons.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>HG-O has contributed equally to this work and share senior authorship. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We are thankful to the IPN (SIP-20120079 and SIP-20130398) and FOMIX CONACYT-CAMPECHE (FOMIX-CAMP-2010-144280) for the financial support and Mrs. Ingrid Mascher for the English edition.</p>
</ack>
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