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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2026.1646291</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Regulatory mechanisms of CH<sub>4</sub> : air volume ratios on metabolic flux partitioning in methane-oxidizing bacteria and their impact on single cell protein biosynthetic efficiency</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Jianxiong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Jiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xin</surname> <given-names>Jiaying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
<uri xlink:href="https://loop.frontiersin.org/people/2156944"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cui</surname> <given-names>Tianyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Xia</surname> <given-names>Chungu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Key Laboratory of Food Science and Engineering, Harbin University of Commerce</institution>, <city>Harbin</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences</institution>, <city>Lanzhou</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Jiaying Xin, <email xlink:href="mailto:xinjiayingvip@163.com">xinjiayingvip@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-22">
<day>22</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1646291</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>14</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Zhang, He, Xin, Cui and Xia.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhang, He, Xin, Cui and Xia</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-22">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>C1 gas bioconversion for single-cell protein (SCP) production offers dual environmental benefits by mitigating greenhouse gases and generating protein resources. This study systematically determined optimal methane-to-air ratios (CH<sub>4</sub>:air, v/v) for enhancing methane-oxidizing bacteria (MOB) growth and SCP yield under three distinct nitrogen assimilation modes: nitrate-driven pMMO expression, ammonium-driven sMMO expression, and nitrogen-fixing sMMO expression.</p></sec>
<sec>
<title>Methods</title>
<p>Experiments were conducted under three nitrogen assimilation regimes: nitrate-fed pMMO expression, ammonium-fed sMMO expression, and nitrogen-fixing sMMO expression systems. By adjusting the volumetric ratio of methane to air, the effects on bacterial growth, biomass accumulation, specific growth rate, and key enzymatic activities were evaluated. Measured parameters included OD<sub>600</sub>, cell dry weight, specific growth rate (&#x003BC;<sub>max</sub>), and nitrogenase activity in the nitrogen-fixing system. Data from repeated measurements were subjected to statistical analysis to clarify the regulatory role of gas ratios on metabolic pathways.</p></sec>
<sec>
<title>Results</title>
<p>In the nitrate-fed pMMO expression system, a CH<sub>4</sub>:air ratio of 1:3 yielded optimal growth, with an OD<sub>600</sub> of 1.11, cell dry weight of 0.44 &#x000B1; 0.023 g/L, and &#x003BC;<sub>max</sub> of 0.022 h<sup>&#x02212;1</sup>. Similarly, the ammonium-fed sMMO expression system achieved best performance at the same ratio (OD<sub>600</sub> 1.19, biomass 0.56 &#x000B1; 0.014 g/L, &#x003BC;<sub>max</sub> 0.025 h<sup>&#x02212;1</sup>). In contrast, the nitrogen-fixing sMMO expression system performed better at a lower oxygen ratio (CH<sub>4</sub>:air = 1:2), reaching an OD<sub>600</sub> of 0.62, biomass of 0.28 &#x000B1;0.008 g/L, nitrogenase activity of 1.09 nmol/(min mg protein), and &#x003BC;<sub>max</sub> of 0.016 h<sup>&#x02212;1</sup>).</p></sec>
<sec>
<title>Discussion</title>
<p>The results reveal oxygen&#x00027;s critical dual role: higher O<sub>2</sub> levels enhance methane oxidation by activating the copper-dependent catalytic site of pMMO but simultaneously and irreversibly damage the oxygen-sensitive nitrogenase ssential for N<sub>2</sub> fixation, suppressing its activity. Conversely, lower O<sub>2</sub> protects nitrogenase but limits pMMO efficiency. This creates a fundamental metabolic trade-off where the optimal CH<sub>4</sub>/O<sub>2</sub> ratio balances these opposing effects, strategically partitioning cellular energy either toward efficient methane assimilation (favored by higher O<sub>2</sub>) or toward the ATP-intensive process of nitrogen fixation (requiring lower O<sub>2</sub>). These identified gas-ratio thresholds provide actionable parameters for designing scaled SCP bioproduction systems, enabling effective coupling of industrial methane mitigation with sustainable protein synthesis through gas-phase engineering.</p></sec></abstract>
<kwd-group>
<kwd>methane-oxidizing bacteria</kwd>
<kwd>single-cell protein</kwd>
<kwd>methane monooxygenases</kwd>
<kwd>gas-phase modulation</kwd>
<kwd>CH4</kwd>
<kwd>air</kwd>
<kwd>nitrogen fixation</kwd>
</kwd-group>
<funding-group>
 <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by 2023 Harbin Science and Technology Research Fund Project (2023ZCZJCG001).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="5"/>
<ref-count count="22"/>
<page-count count="7"/>
<word-count count="4922"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiotechnology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Methane, the second most significant greenhouse gas after carbon dioxide, contributes to 46%&#x02212;58% of anthropogenic emissions in the global atmospheric methane budget (<xref ref-type="bibr" rid="B21">Weindl et al., 2020</xref>). Among these sources, the oil and gas industry stand out as a major emitter, with methane releases substantially exacerbating the greenhouse effect (<xref ref-type="bibr" rid="B14">Saunois et al., 2020</xref>). Concurrently, global population growth and dietary shifts are driving surging demand for high-quality protein, while traditional aquaculture faces constraints due to limited fishmeal resources and environmental challenges in soybean meal production (<xref ref-type="bibr" rid="B8">Matassa et al., 2015</xref>). This necessitates the development of novel sustainable protein production methods (<xref ref-type="bibr" rid="B3">Dong et al., 2017</xref>; <xref ref-type="bibr" rid="B18">Teixeira et al., 2018</xref>). C1 gas bioconversion technology for single-cell protein (SCP) production presents a dual environmental benefit by simultaneously enabling greenhouse gas mitigation and protein resource generation.</p>
<p>Methane-oxidizing bacteria (MOB), as obligate methylotrophs, utilize methane/methanol as their sole carbon source through chemoheterotrophic metabolism (<xref ref-type="bibr" rid="B7">Lim et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Shindell et al., 2012</xref>; <xref ref-type="bibr" rid="B17">Strong et al., 2015</xref>). Their core enzymatic machinery includes two structurally distinct methane monooxygenases (MMOs): the membrane-bound particulate MMO (pMMO) and the soluble MMO (sMMO), both regulated by Cu<sup>2&#x0002B;</sup> ion gradients (<xref ref-type="bibr" rid="B20">Ward et al., 2018</xref>; <xref ref-type="bibr" rid="B13">Ross et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Wang et al., 2020</xref>). Notably, MOB exhibit dual nitrogen assimilation capabilities: under standard cultivation, they preferentially utilize inorganic nitrogen sources (e.g., ammonium or nitrate), while under nitrogen-limiting conditions, certain strains activate nitrogenase systems to convert atmospheric N<sub>2</sub> (78.1% abundance) into organic nitrogen (<xref ref-type="bibr" rid="B1">Auman et al., 2001</xref>). This metabolic flexibility not only reduces production costs but also aligns with the principles of sustainable biomanufacturing.</p>
<p>The gas-phase concentration gradients of key metabolic substrates (methane and oxygen) exert significant regulatory effects on MOB metabolic networks (<xref ref-type="bibr" rid="B6">Karthikeyan et al., 2015</xref>): (1) methane oxidation, as an obligate aerobic process, exhibits metabolic flux positively correlated with dissolved oxygen concentration (<xref ref-type="bibr" rid="B5">Hudspeth et al., 2024</xref>); (2) biological nitrogen fixation is oxygen-sensitive and requires microaerobic conditions (Boujenna and del Moral, <xref ref-type="bibr" rid="B2">2021</xref>); (3) in nitrogen-rich media, methane oxidation dominates carbon metabolic flux, whereas under nitrogen starvation, metabolic flow shifts toward nitrogen fixation. This gas-dependent metabolic switching mechanism provides a theoretical foundation for optimizing SCP yield through gas ratio modulation in cultivation systems. Analytical data confirm that SCP not only matches conventional protein sources in nutritional composition (crude protein content: 60%&#x02212;80%) but also enables valorization of methane emissions from oil and gas operations, offering combined carbon mitigation and resource recovery benefits (<xref ref-type="bibr" rid="B10">Nisbet et al., 2019</xref>; <xref ref-type="bibr" rid="B11">Owsianiak et al., 2022</xref>).</p>
<p>Building upon prior findings (highest methane utilization and SCP yields under nitrate nitrogen-pMMO expression, ammonium nitrogen-sMMO expression, and N<sub>2</sub>-sMMO expression), this study focused on elucidating the impact of CH<sub>4</sub>/air ratios on MOB growth kinetics and SCP biosynthesis efficiency. Implement gas-phase regulation (CH<sub>4</sub>/O<sub>2</sub> volume ratios) is the primary control lever to optimize metabolic partitioning in methane assimilation processes. Couple nitrogen source selection with gas composition to achieve maximum biomass yield. These principles enable the development of gas-regulated SCP biorefineries that simultaneously mitigate industrial methane emissions and produce sustainable protein through carbon-nitrogen cycle integration.</p></sec>
<sec sec-type="materials and methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec>
<label>2.1</label>
<title>Medium preparation</title>
<p>Nitrate-Medium (NMS): the NMS medium consists of Solution A and Solution B: Solution A (per 1 L): 5.24 g K<sub>2</sub>HPO<sub>4</sub>&#x000B7;3H<sub>2</sub>O, 2.62 g KH<sub>2</sub>PO<sub>4</sub>, 0.04 g FeSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g MgSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g NaCl, 10.0 g KNO<sub>3</sub> (nitrogen source), 0.0167 g FeCl<sub>3</sub>&#x000B7;6H<sub>2</sub>O, 0.151 g CaCl<sub>2</sub>. Solution B (per 1 L): 0.3 g MnSO<sub>4</sub>&#x000B7;H<sub>2</sub>O, 0.24 g NaMoO<sub>4</sub>&#x000B7;H<sub>2</sub>O, 0.34 g ZnSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O. Mix 10 ml of Solution A and 0.1 ml of Solution B, then adjust to 100 ml with deionized water (<xref ref-type="bibr" rid="B12">Park et al., 2024</xref>).</p>
<p>Ammonium-Medium (AMS): the AMS medium similarly comprises Solution A and Solution B: Solution A (per 1 L): 5.24 g K<sub>2</sub>HPO<sub>4</sub>&#x000B7;3H<sub>2</sub>O, 2.62 g KH<sub>2</sub>PO<sub>4</sub>, 0.04 g FeSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g MgSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g NaCl, 5 g NH<sub>4</sub>Cl (nitrogen source), 0.0167 g FeCl<sub>3</sub>&#x000B7;6H<sub>2</sub>O, 0.151 g CaCl<sub>2</sub>. Solution B: Identical to NMS. Mix 10 ml of Solution A and 0.1 ml of Solution B, then adjust to 100 ml with deionized water.</p>
<p>Nitrogen-Free Medium (NFMS): the NFMS medium also consists of Solution A and Solution B. Solution A (per 1 L): 5.24 g K<sub>2</sub>HPO<sub>4</sub>&#x000B7;3H<sub>2</sub>O, 2.62 g KH<sub>2</sub>PO<sub>4</sub>, 0.04 g FeSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g MgSO<sub>4</sub>&#x000B7;7H<sub>2</sub>O, 3.0 g NaCl, 0.0167 g FeCl<sub>3</sub>&#x000B7;6H<sub>2</sub>O, 0.151 g CaCl<sub>2</sub>. Solution B: identical to NMS and AMS. Mix 10 ml of Solution A and 0.1 ml of Solution B, then adjust to 100 ml with deionized water.</p>
<p>Copper Supplementation for MMO Regulation (<xref ref-type="bibr" rid="B4">El Ghazouani et al., 2012</xref>). For pMMO expression: add 0.1 ml of filter-sterilized CuSO<sub>4</sub> stock solution to achieve a final Cu<sup>2&#x0002B;</sup> concentration of &#x0007E;5 &#x003BC;mol/L. For sMMO expression: omit CuSO<sub>4</sub> supplementation to maintain a Cu<sup>2&#x0002B;</sup>-free condition (0 &#x003BC;mol/L).</p></sec>
<sec>
<label>2.2</label>
<title>Cultivation of MOB</title>
<p>The <italic>Methylosinus trichosporum</italic> OB3b was used in the experiment, from Professor Xing Xinhui&#x00027;s research group at Tsinghua University, following the aforementioned protocols, 100 ml of NMS, AMS, and NFMS media were prepared in 250 ml culture flasks. The media were sterilized at 121 &#x000B0;C for 20 min using an autoclave and allowed to cool to room temperature before inoculation.</p>
<p>MOB seed culture was aseptically inoculated at 10% (v/v) of the medium volume, and the target OD<sub>600</sub> for harvesting MOB seed culture is 0.8 &#x000B1; 0.06. Subsequently, the headspace of each flask was purged and replaced with one of the following gas mixtures (balanced with air): CH<sub>4</sub> : Air = 1:0 (100% methane); CH<sub>4</sub> : Air = 1:1 (50% methane); CH<sub>4</sub> : Air = 1:2 (33% methane); CH<sub>4</sub> : Air = 1:3 (25% methane); CH<sub>4</sub> : Air = 2:1 (67% methane); CH<sub>4</sub> : Air = 3:1 (75% methane). Following inoculation and gas exchange, the flasks were incubated in a rotary shaker maintained at 30 &#x000B0;C and 180 rpm.</p></sec>
<sec>
<label>2.3</label>
<title>Analysis method</title>
<p>Methane consumption was directly determined and calculated using headspace gas chromatography under the following analytical conditions: a GC7900 gas chromatograph equipped with a combined column system (OV-101 capillary column and TDX-01 molecular sieve column) and a thermal conductivity detector was employed for effective separation of methane, carbon dioxide, oxygen, and nitrogen. The operating parameters included a column temperature of 50 &#x000B0;C, an injection port temperature of 100 &#x000B0;C, a detector temperature of 120 &#x000B0;C, hydrogen as carrier gas, and a operating current of 120 mA. Manual injections were performed using a 1 ml gas-tight syringe to sample the headspace of culture bottles. Standard curven was obtained by external standard calibration using a series of pure methane standards (0.1&#x02013;1.0 ml). Cultivation followed a 24-h ventilation protocol over a 7-day period. Daily methane consumption was determined by measuring headspace methane via GC immediately after ventilation (pre-Tn) and 24 h later before the next ventilation (post-Tn). The daily consumption was calculated as the difference between the pre- and post-Tn methane volumes derived from the standard curve, and the total consumption was obtained as the cumulative sum over the 7-day cultivation period.</p>
<p>Every 24 h, 3 ml of bacterial culture was sampled, with distilled water serving as the blank control, with three sets of parallel repetitions for each condition and all data were analyzed using analysis of variance. The OD<sub>600</sub> was measured using a UV-Vis spectrophotometer to assess microbial growth dynamics at different time points. By using the logistic function to fit the cell growth curve, the lag phase (&#x003BB;) and maximum specific growth rate (&#x003BC;<sub>max</sub>) of the bacterial cells under this condition can be obtained, and a dynamic mathematical model of the methane oxidizing bacterium <italic>Methylosinus trichosporum</italic> OB3b can be established. The formula equation is:</p>
<disp-formula id="EQ1"><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mtext class="textrm" mathvariant="normal">y</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x0002B;</mml:mo><mml:msup><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>X</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mi>P</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:mfrac><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(1)</label></disp-formula>
<p>y represents OD<sub>600</sub>, A<sub>1</sub> represents the initial concentration of the fermentation broth, A<sub>2</sub> represents the maximum concentration of the fermentation broth, X represents the cell growth time, X<sub>0</sub> represents the proportional constant of the maximum growth rate, and P represents the bacterial growth index.</p>
<p>After the completion of cell culture, collect 10 ml of bacterial solution and centrifuge at 4 &#x000B0;C and 8,000 r/min for 15 min to obtain bacterial cell precipitate. Rinse the cell precipitate twice with 0.05 mol/L phosphate buffer, and then add 2 ml of buffer to resuspend the precipitate. MMO activity was determined via the propylene epoxidation assay (<xref ref-type="bibr" rid="B16">Smith et al., 2011</xref>). Reaction setup: a 10 ml reaction vial was loaded with 2 ml of cell suspension and sealed. Using a disposable syringe, 4 ml of headspace air was removed and immediately replaced with 4 ml of premixed gas (propylene:air = 1:1 v/v). The vial was resealed and inverted for incubation in a rotary shaker (30 &#x000B0;C, 200 rpm) to facilitate epoxidation over 30 min. Reaction Termination: post-reaction, the vial was inverted and stored at 4 &#x000B0;C overnight to allow phase separation. The sample was then transferred to a 5 ml centrifuge tube and clarified by centrifugation (10,000 rpm, 15 min). The supernatant was collected for MMO activity analysis. Epoxide Quantification: propylene oxide (PO) concentration was measured via gas chromatography under the following conditions: column: BD-5HT capillary column (30 m &#x000D7; 0.25 mm &#x000D7; 0.25 &#x003BC;m). Temperatures: column: 170 &#x000B0;C (isothermal), Injector: 250 &#x000B0;C, flame ionization detector (FID) detector: 250 &#x000B0;C, Injection: manual, 0.5 &#x003BC;l splitless, retention time of PO: &#x0007E;2.86 min. The calculation formula for MMO activity is as follows:</p>
<disp-formula id="EQ2"><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mtext>MMO</mml:mtext></mml:mrow><mml:mrow><mml:mtext>active&#x000A0;unite</mml:mtext></mml:mrow></mml:msub><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mfrac><mml:mrow><mml:msub><mml:mrow><mml:mtext>C</mml:mtext></mml:mrow><mml:mrow><mml:mtext>epoxypropane&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;V</mml:mtext></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:mtext>t&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mtext>W</mml:mtext></mml:mrow><mml:mrow><mml:mtext>DCW</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(2)</label></disp-formula>
<p>C<sub>epoxypropane</sub>: concentration calculated from the gas chromatographic peak area via the epoxypropane standard curve (nmol/ml); V: total volume of the reaction system (ml); t: reaction time (min); W<sub>DCW</sub>: dry cell weight (mg). Unit: nmol/(min&#x000B7;mg dcw), where &#x0201C;mg&#x0201D; refers to milligram of dry cell weight.</p>
<p>Nitrogenase Activity Assay via Acetylene Reduction Method (<xref ref-type="bibr" rid="B9">Montes-Luz et al., 2023</xref>). The nitrogenase activity was determined using the acetylene reduction assay (ARA). Briefly, 15 ml of bacterial culture was transferred into a 150 ml serum bottle, supplemented with 0.1% (v/v) methanol as an electron donor. The bottle was sealed with a butyl rubber stopper and aluminum crimp cap. For the reaction initiation: 10% of the headspace volume was removed using a disposable syringe. An equivalent volume of purified acetylene gas was immediately injected. The bottle was resealed to maintain gas-tight conditions. The reaction was carried out in a rotary shaker at 30 &#x000B0;C and 150 rpm for 60 min. Post-incubation, 1 &#x003BC;l of headspace gas was sampled using a gas-tight syringe and analyzed for ethylene production using a SCION456 gas chromatograph equipped with a flame ionization detector (FID). Chromatographic conditions were as follows: column: BD-5HT capillary column (30 m &#x000D7; 0.25 mm &#x000D7; 0.25 &#x003BC;m). Temperature program: column: 50 &#x000B0;C (isothermal), Injector: 200 &#x000B0;C, FID: 250 &#x000B0;C, Injection: manual split mode, 1 &#x003BC;l injection volume, Ethylene retention time: &#x0007E;2.93 min. The calculation formula for Nitrogenase activity is as follows:</p>
<disp-formula id="EQ3"><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mtext>Nitrogenase</mml:mtext></mml:mrow><mml:mrow><mml:mtext>active&#x000A0;unite</mml:mtext></mml:mrow></mml:msub><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mrow><mml:mtext>C</mml:mtext></mml:mrow><mml:mrow><mml:mtext>ethylene&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;V</mml:mtext></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mtext>t&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;W</mml:mtext></mml:mrow><mml:mrow><mml:mtext>DCW</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(3)</label></disp-formula>
<p>C<sub>ethylene</sub>: concentration derived from the gas chromatographic peak area via the ethylene standard calibration curve (nmol/ml); V: headspace volume of the reaction vial (ml); t: reaction time (min); W<sub>DCW</sub>: dry cell weight (mg). Unit: nmol/(min&#x000B7;mg dcw), where &#x0201C;mg&#x0201D; refers to milligram of dry cell weight.</p>
<p>Determination of Cell Dry Weight (CDW) by Constant Weight Method. The cellular dry weight was measured using the constant weight method. Initially, cell pellets were collected via low-temperature centrifugation at 4 &#x000B0;C and 8,000 rpm for 15 min. The harvested biomass was subsequently washed twice with 0.05 M phosphate buffer (pH 7.0) to remove residual medium components. The processed cell pellets were then transferred to a constant-temperature drying oven and dehydrated at 70 &#x000B0;C until reaching constant weight. The dried samples were precisely weighed using an analytical balance with 0.1 mg resolution. For protein content analysis: (1) the lyophilized samples were reconstituted in 50 ml of distilled water. (2) Cell disruption was performed using an ultrasonic homogenizer under the following parameters: power output: 300 W, Pulsing cycle: 2 s ON, 4 s OFF, Total duration: 10 min. (3) The resulting cell lysate was collected for subsequent protein quantification. SCP Quantification via Bradford Assay: the SCP content was determined using the Coomassie Brilliant Blue G-250 dye-binding method (<xref ref-type="bibr" rid="B22">Yang et al., 2014</xref>). The assay principle relies on: formation of protein-dye complexes exhibiting maximum absorbance at 595 nm. Linear correlation between absorbance and protein concentration (0&#x02013;1,000 &#x003BC;g/ml range). Colorimetric detection using a UV-Vis spectrophotometer. The SCP yield formula is as follows:</p>
<disp-formula id="EQ4"><mml:math id="M4"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Y</mml:mi></mml:mrow><mml:mrow><mml:mi>S</mml:mi><mml:mi>C</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mrow><mml:mi>&#x025B3;</mml:mi><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>C</mml:mi><mml:mi>D</mml:mi><mml:mi>W</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>&#x025B3;</mml:mi><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>C</mml:mi><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(4)</label></disp-formula>
<disp-formula id="EQ5"><mml:math id="M5"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>&#x025B3;</mml:mi><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>C</mml:mi><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mo>&#x02211;</mml:mo><mml:mi>&#x025B3;</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mi>C</mml:mi><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math><label>(5)</label></disp-formula>
<p><italic>Y</italic><sub><italic>SCP</italic></sub> denotes the yield of SCP, &#x00394;<italic>W</italic><sub><italic>CDW</italic></sub> represents the cell dry weight (g/L), and &#x025B3;<italic>W</italic><sub><italic>C</italic><sub><italic>H</italic></sub><sub>4</sub></sub> signifies the total amount of methane consumed during the cultivation process. &#x02211;<sub>&#x025B3;<sub>6</sub><italic>WCH</italic><sub>4</sub></sub>represents the cumulative methane consumption across six ventilation intervals.</p></sec></sec>
<sec id="s3">
<label>3</label>
<title>Results and discussion</title>
<sec>
<label>3.1</label>
<title>Optimization of gas ratio of MOB during nitrate nitrogen-pMMO expression</title>
<p>Based on experimental data from <xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="table" rid="T1">Table 1</xref>, the physiological metabolism of MOB was significantly modulated by gas-phase composition. Under CH<sub>4</sub>:air = 3:1 (v/v), the system exhibited suboptimal performance: maximum OD<sub>600</sub> (0.63), cell dry weight (0.28 &#x000B1; 0.004 g/L), and MMO-specific activity (118.72 nmol/(min&#x000B7;mg_dcw)) were all below optimal levels. This phenomenon arose from three metabolic constraints: (1) CO<sub>2</sub> accumulation: from high methane metabolism induced proton motive force imbalance; (2) insufficient oxygen partial pressure (DO &#x0003C; 15% saturation) hindered copper cofactor binding in pMMO, reducing electron transport chain activity; (3) hypoxic microenvironments activated Fnr-regulated anaerobic metabolic compensation pathways, triggering energy diversion.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p><bold>(A)</bold> Growth curve of MOB, <bold>(B)</bold> cell dry weight and MMO activity and <bold>(C)</bold> protein content and SCP production rate under different gas ratios during nitrate-nitrogen as nitrogen source and pMMO expression (the error bar represents the standard error).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-17-1646291-g0001.tif">
<alt-text content-type="machine-generated">Panel A shows a line graph depicting the optical density (OD) at 600 nm over six days for various ratios. Each line represents a different growth condition. Panel B features a bar chart illustrating cell dry weight and MMO activity for the same ratios. Panel C presents another bar chart comparing protein content and SCP production rate across the same conditions. Error bars are included to indicate variability.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Variation of maximum OD<sub>600</sub>, latency and maximum specific growth rate with different gas ratios (<sup>&#x0002A;</sup><italic>p</italic> &#x02264; 0.05).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gas ratio</bold></th>
<th valign="top" align="center"><bold>OD<sub>600</sub></bold></th>
<th valign="top" align="center"><bold>&#x003BB;/h</bold></th>
<th valign="top" align="center"><bold>&#x003BC;<sub>max</sub>/h<sup>&#x02212;1</sup></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1:0</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">21.55 &#x000B1; 0.31<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">1:1</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">20.73 &#x000B1; 0.33<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left">1:2</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">18.27 &#x000B1; 0.24<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">1:3</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">15.31 &#x000B1; 0.3<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">2:1</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">18.33 &#x000B1; 0.36<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">3:1</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">19.28 &#x000B1; 0.37<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.015</td>
</tr></tbody>
</table>
</table-wrap>
<p>Comparative experiments revealed that in pure methane systems (CH<sub>4</sub>:air = 1:0), nitrate-dependent pMMO-expressing strains exhibited metabolic suppression (OD<sub>600</sub> &#x0003C; 0.5). Incremental oxygen supplementation to CH<sub>4</sub>:air = 1:3 induced metabolic state transitions: (1) elevated DO enhanced cytochrome c oxidase-mediated respiratory phosphorylation efficiency; (2) Cu<sup>2&#x0002B;</sup>-assisted stabilization of pMMO tetrameric conformations; (3) biphasic gas-liquid mass transfer optimization yielded peak kinetic performance: maximum specific growth rate (&#x003BC;<sub>max</sub> = 0.022 h<sup>&#x02212;1</sup>); CDW (0.44 &#x000B1; 0.02 g/L) and soluble protein content (20.73 &#x000B1; 0.18%) increased by 56.4% and 32.5%, respectively, compared to the 3:1 group.</p>
<p>Notably, the lag phase was reduced to 15.31 &#x000B1; 0.3 h (representing a 26% reduction compared with the 3:1 group). Based on this observation, it is speculated that elevated oxygen levels promoted expression of the nitrogen assimilation gene cluster (nasAB-nrtP) through activation of the OmpR/PhoB two-component system, thereby facilitating rapid metabolic network reprogramming. These findings furnish key metabolic node parameters for implementing gas-phase regulation strategies in industrial-scale SCP production.</p></sec>
<sec>
<label>3.2</label>
<title>Optimization of gas ratio of MOB during ammonium nitrogen-sMMO expression</title>
<p>Comparative analysis of <xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="table" rid="T2">Table 2</xref> revealed that under strict anaerobic conditions (CH<sub>4</sub>:air = 1:0), the ammonium nitrogen-sMMO expressing MOB cultivation system exhibited significant metabolic inhibition. Specific manifestations included: biomass index OD<sub>600</sub> reaching only 0.73, cell dry weight 0.29 &#x000B1; 0.016 g/L, key enzymatic parameter MMO-specific activity declining to 46.99 nmol/(min&#x000B7;mg&#x000B7;dwc), and soluble protein content (17.78 &#x000B1; 0.88%) being significantly lower than other treatment groups. This metabolic inhibition originated from impaired electron transport chain function in microaerophilic strains under hypoxic conditions, leading to reduced oxidative phosphorylation efficiency in sMMO-catalyzed methane hydroxylation and consequent impact on carbon assimilation flux. With gradual air supply introduction, elevated gas-phase oxygen partial pressure markedly activated the methane oxidation metabolic network. Under optimal CH<sub>4</sub>:air = 1:3 conditions, experimental groups demonstrated typical exponential growth phase characteristics: OD<sub>600</sub> increased by 62.98% to 1.19, cell dry weight reached 0.56 &#x000B1; 0.014 g/L, maximum specific growth rate (&#x003BC;<sub>max</sub>) 0.025 h<sup>&#x02212;1</sup>. Concurrently detected soluble protein content rose to 21.38 &#x000B1; 0.46%, with lag phase shortened to 12.44 &#x000B1; 0.31 h, indicating that oxygen&#x00027;s synergistic effects not only enhanced sMMO-mediated methane oxidation-assimilation flux but also optimized metabolic coupling efficiency between TCA cycle and amino acid synthesis pathways, increasing per-biomass SCP yield by 156%. This gas ratio-dependent metabolic regulation mechanism provides crucial theoretical foundation for industrial SCP production based on dynamic gas supply strategies.</p>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p><bold>(A)</bold> Growth curve of MOB, <bold>(B)</bold> cell dry weight and MMO activity and <bold>(C)</bold> protein content and SCP production rate under different gas ratios during ammonium nitrogen as nitrogen source and sMMO expression (the error bar represents the standard error).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-17-1646291-g0002.tif">
<alt-text content-type="machine-generated">Three charts labeled A, B, and C. Chart A is a line graph showing OD (optical density) over six days with different color-coded ratios. Chart B is a bar graph displaying cell dry weight and MMO activity for various ratios. Chart C is a bar graph illustrating protein content and SCP production rate across the same ratios. Error bars indicate variability in the data.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Variation of maximum OD<sub>600</sub>, latency and maximum specific growth rate with different gas ratios (<sup>&#x0002A;</sup><italic>p</italic> &#x02264; 0.05).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gas ratio</bold></th>
<th valign="top" align="center"><bold>OD<sub>600</sub></bold></th>
<th valign="top" align="center"><bold>&#x003BB;/h</bold></th>
<th valign="top" align="center"><bold>&#x003BC;<sub>max</sub>/h<sup>&#x02212;1</sup></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1:0</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">18.31 &#x000B1; 0.3<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">1:1</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">17.21 &#x000B1; 0.31<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.02<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">1:2</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">15.02 &#x000B1; 0.23<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.023<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">1:3</td>
<td valign="top" align="center">1.19</td>
<td valign="top" align="center">12.44 &#x000B1; 0.31<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.025<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">2:1</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">15.08 &#x000B1; 0.35<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">3:1</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">16.35 &#x000B1; 0.35<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
</tr></tbody>
</table>
</table-wrap></sec>
<sec>
<label>3.3</label>
<title>Optimization of gas ratio of MOB during N<sub>2</sub>-sMMO expression</title>
<p>Systematic analysis of <xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="table" rid="T3">Table 3</xref> reveals the underlying mechanisms of gas composition effects on methanotrophic bacterial metabolism regulation. In pure methane systems (CH<sub>4</sub>:Air=1:0), nitrogen-dependent sMMO-expressing strains exhibited the lowest specific growth rate (&#x003BC; = 0.013 h<sup>&#x02212;1</sup>) due to dual constraints: firstly, MMO enzymatic kinetics became DO-limited under strictly anaerobic conditions, significantly reducing methane oxidation metabolic flux; secondly, undetectable nitrogenase activity indicated nitrogen assimilation pathway blockage forming a growth-limiting bottleneck.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p><bold>(A)</bold> Growth curve of MOB, <bold>(B)</bold> cell dry weight and MMO activity and <bold>(C)</bold> protein content and SCP production rate under different gas ratios during N<sub>2</sub> fixation as nitrogen source and sMMO expression (the error bar represents the standard error).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-17-1646291-g0003.tif">
<alt-text content-type="machine-generated">Three-part data visualization. A: Line graph showing over 6 days for different ratios, with data points and fitted lines increasing steadily. B: Bar chart comparing cell dry weight (green) and MMO activity (orange) for five mixtures; highest values at 1:2 ratio. C: Bar chart displaying protein content (orange) and SCP production rate (green); differing values across mixtures, with highest protein at 1:2. Error bars present in B and C.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Variation of maximum OD<sub>600</sub>, latency and maximum specific growth rate with different gas ratios (<sup>&#x0002A;</sup><italic>p</italic> &#x02264; 0.05).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gas ratio</bold></th>
<th valign="top" align="center"><bold>OD<sub>600</sub></bold></th>
<th valign="top" align="center"><bold>&#x003BB;/h</bold></th>
<th valign="top" align="center"><bold>&#x003BC;<sub>max</sub>/h<sup>&#x02212;1</sup></bold></th>
<th valign="top" align="center"><bold>Nitrogen fixation content (mmol/L)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1:0</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">30.89 &#x000B1; 0.33<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">&#x02014;</td>
</tr>
<tr>
<td valign="top" align="left">1:1</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">27.15 &#x000B1; 0.22<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">1:2</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">26.49 &#x000B1; 0.3<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">1:3</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">29.02 &#x000B1; 0.29<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">2:1</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">27.92 &#x000B1; 0.37<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">3:1</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">28.51 &#x000B1; 0.3<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">0.008</td>
</tr></tbody>
</table>
</table-wrap>
<p>With air introduction (CH<sub>4</sub>:Air=1:3), while elevated dissolved oxygen enhanced methane oxidation rate, excessive oxygen partial pressure caused irreversible oxidative damage to nitrogenase complexes, reducing nitrogen fixation efficiency. This directly manifested in physiological parameters: OD<sub>600</sub> = 0.52, cell dry weight 0.21 &#x000B1; 0.018 g/L, and soluble protein content 6.7 &#x000B1; 0.28%, significantly lower than other groups.</p>
<p>Optimal performance occurred at CH<sub>4</sub>:Air = 1:2, where precise DO control enabled metabolic flux redistribution: maintaining sMMO&#x00027;s optimal redox potential while creating microaerobic conditions to protect nitrogenase active sites. Experimental data showed: maximum specific growth rate reached 0.016 h<sup>&#x02212;1</sup>, lag phase shortened to 26.49 &#x000B1; 0.3 h, OD<sub>600</sub> = 0.62 and cell dry weight 0.28 &#x000B1; 0.008 g/L, and soluble protein content increased to 13.4 &#x000B1; 0.28%. This discovery provides critical parameters for industrial SCP production optimization, suggesting dynamic gas regulation to balance MMO catalytic efficiency and nitrogenase stability can overcome substrate competition inhibition in conventional cultivation systems.</p>
<p>Although the closed batch culture system used in this study did not monitor gas consumption or supplement reaction gases in real time, the core objective of the experimental design is to establish a benchmark correlation between initial gas ratios and metabolic responses under different nitrogen source modes (such as growth kinetics parameters, enzyme activity thresholds, etc.). Although the gas phase ratio undergoes dynamic changes during the reaction process, all comparative experiments maintain consistent closed conditions, thus obtaining the optimal initial ratio threshold with clear comparative value.</p></sec></sec>
<sec sec-type="conclusion" id="s4">
<label>4</label>
<title>Conclusion</title>
<p>This study demonstrated significantly superior growth rates, cell mass, and methane oxidation efficiency in MOB under nitrate (pMMO expression) or ammonium (sMMO expression) conditions with CH<sub>4</sub>:air (1:3), compared to a nitrogen-fixing (sMMO expression) system using N<sub>2</sub>. This difference arises because N<sub>2</sub> fixation via the nitrogenase complex consumes substantial cellular energy (16 ATP per N<sub>2</sub> molecule), diverting resources from carbon assimilation during methane oxidation. Furthermore, the elevated oxygen levels in the CH<sub>4</sub>:air (1:3) system created a metabolic paradox: while promoting pMMO activity via its copper domain, excessive oxygen irreversibly damaged the oxygen-sensitive nitrogenase, reducing fixation rates. An optimal dissolved oxygen threshold was therefore essential for simultaneously maximizing methane monooxygenase (MMO) activity and preserving nitrogenase function through microaerobic conditions. The results confirm that the CH<sub>4</sub>/O<sub>2</sub> ratio acts as a dual regulator, providing substrates while modulating metabolism to collectively determine MOB&#x00027;s metabolic phenotype and single-cell protein production efficiency, offering a theoretical basis for high-density cultivation strategies using coupled nitrogen source and gas phase control.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<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 sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>JZ: Writing &#x02013; original draft, Data curation. JH: Formal analysis, Writing &#x02013; review &#x00026; editing, Data curation. JX: Writing &#x02013; review &#x00026; editing. TC: Writing &#x02013; review &#x00026; editing. CX: Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s8">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/59688/overview">Xin Wang</ext-link>, Nankai University, China</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1106775/overview">Bowen Li</ext-link>, Southwest University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/564172/overview">Jian Liu</ext-link>, Dezhou University, China</p>
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