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e coli mc4100  (DSMZ)


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    Structured Review

    DSMZ e coli mc4100
    Wild-type <t>Escherichia</t> <t>coli</t> (WT E. coli ) was first subjected to 60-day monoculture in two enclosed environments without added nutrients (HTG: spatially heterogeneous; HMG: spatially homogeneous). The evolved populations, along with the WT progenitor, were then assayed for motility, biofilm formation, pellicle formation, curli fimbriae expression, and growth curves on eight distinct carbon sources. Subsequently, each evolved population and the WT progenitor was individually paired with Chlamydomonas reinhardtii for co-culture in a spatially structured microbial biosphere established in 48-well plates. System persistence was tracked by continuous measurement of autofluorescence, and population dynamics were investigated through four destructive samplings.
    E Coli Mc4100, supplied by DSMZ, used in various techniques. Bioz Stars score: 96/100, based on 1142 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/e+coli+mc4100/bio_rxiv__64898__2026__01__14__699458-139-0-8?v=DSMZ
    Average 96 stars, based on 1142 article reviews
    e coli mc4100 - by Bioz Stars, 2026-07
    96/100 stars

    Images

    1) Product Images from "Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres"

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    Journal: bioRxiv

    doi: 10.64898/2026.01.14.699458

    Wild-type Escherichia coli (WT E. coli ) was first subjected to 60-day monoculture in two enclosed environments without added nutrients (HTG: spatially heterogeneous; HMG: spatially homogeneous). The evolved populations, along with the WT progenitor, were then assayed for motility, biofilm formation, pellicle formation, curli fimbriae expression, and growth curves on eight distinct carbon sources. Subsequently, each evolved population and the WT progenitor was individually paired with Chlamydomonas reinhardtii for co-culture in a spatially structured microbial biosphere established in 48-well plates. System persistence was tracked by continuous measurement of autofluorescence, and population dynamics were investigated through four destructive samplings.
    Figure Legend Snippet: Wild-type Escherichia coli (WT E. coli ) was first subjected to 60-day monoculture in two enclosed environments without added nutrients (HTG: spatially heterogeneous; HMG: spatially homogeneous). The evolved populations, along with the WT progenitor, were then assayed for motility, biofilm formation, pellicle formation, curli fimbriae expression, and growth curves on eight distinct carbon sources. Subsequently, each evolved population and the WT progenitor was individually paired with Chlamydomonas reinhardtii for co-culture in a spatially structured microbial biosphere established in 48-well plates. System persistence was tracked by continuous measurement of autofluorescence, and population dynamics were investigated through four destructive samplings.

    Techniques Used: Expressing, Co-Culture Assay

    (A) Log 10 -transformed viable cell counts of Escherichia coli ( E. coli ) at the initiation and upon destructive harvest after 60 days of monoculture in two distinct systems (HTG: spatially heterogeneous; HMG: spatially homogeneous). Thin semi-transparent lines and small points represent the three biological replicates per treatment ( n = 3). Thick lines and large points indicate the group means. While the mean cell concentration in the HMG at harvest was numerically higher than in the HTG, the difference was not statistically significant (Mann-Whitney U test, W = 9, p = 0.077). (B) Sankey diagram illustrating the nomenclature of E. coli MC4100 samples under three treatments (WT: untreated wild-type progenitor; HTG/HMG: subjected to 60-day monoculture in the respective systems) and the phenotypic divergence of evolved populations relative to the WT progenitor. The x-axis “biofilm” represents the qualitative assessment of biofilm formation using Congo Red agar (CRA), with results on a binary scale .
    Figure Legend Snippet: (A) Log 10 -transformed viable cell counts of Escherichia coli ( E. coli ) at the initiation and upon destructive harvest after 60 days of monoculture in two distinct systems (HTG: spatially heterogeneous; HMG: spatially homogeneous). Thin semi-transparent lines and small points represent the three biological replicates per treatment ( n = 3). Thick lines and large points indicate the group means. While the mean cell concentration in the HMG at harvest was numerically higher than in the HTG, the difference was not statistically significant (Mann-Whitney U test, W = 9, p = 0.077). (B) Sankey diagram illustrating the nomenclature of E. coli MC4100 samples under three treatments (WT: untreated wild-type progenitor; HTG/HMG: subjected to 60-day monoculture in the respective systems) and the phenotypic divergence of evolved populations relative to the WT progenitor. The x-axis “biofilm” represents the qualitative assessment of biofilm formation using Congo Red agar (CRA), with results on a binary scale .

    Techniques Used: Transformation Assay, Concentration Assay, MANN-WHITNEY


    Figure Legend Snippet:

    Techniques Used:

    (A) Comparison of the area under the curve (AUC) for growth curves on eight carbon sources between the wild-type progenitor (WT) and three evolved populations from each monoculture system (HTG: spatially heterogeneous; HMG: spatially homogeneous). Data were normalized to the AUC of the WT and log 10 -transformed. Consequently, the AUC for the WT is 0 for each carbon source; values > 0 indicate an increase relative to WT, while values < 0 indicate a decrease. CreiNecro and EcoNecro denote the necromass of Chlamydomonas reinhardtii and Escherichia coli , respectively. The original AUC data are presented as beeswarm plots in Supplementary Figures 2-4. (B) Heatmap comparing the AUC for growth curves on eight carbon sources among the three treatment groups (WT, HTG, HMG). Data were similarly normalized to the WT AUC but without log 10 transformation. Values are displayed as mean ± standard error (SE). (C) Correlations among three growth parameters, maximum growth rate (μ), carrying capacity (K), and AUC, for the three treatments across different carbon sources. The original data are presented as scatter plots in Supplementary Figure 5. Correlations were assessed using ordinary least squares (OLS) regression; only statistically significant results are shown. Blue and orange indicate positive and negative correlations, respectively. Point size represents the absolute value of the p -value, with larger points corresponding to smaller p -values.
    Figure Legend Snippet: (A) Comparison of the area under the curve (AUC) for growth curves on eight carbon sources between the wild-type progenitor (WT) and three evolved populations from each monoculture system (HTG: spatially heterogeneous; HMG: spatially homogeneous). Data were normalized to the AUC of the WT and log 10 -transformed. Consequently, the AUC for the WT is 0 for each carbon source; values > 0 indicate an increase relative to WT, while values < 0 indicate a decrease. CreiNecro and EcoNecro denote the necromass of Chlamydomonas reinhardtii and Escherichia coli , respectively. The original AUC data are presented as beeswarm plots in Supplementary Figures 2-4. (B) Heatmap comparing the AUC for growth curves on eight carbon sources among the three treatment groups (WT, HTG, HMG). Data were similarly normalized to the WT AUC but without log 10 transformation. Values are displayed as mean ± standard error (SE). (C) Correlations among three growth parameters, maximum growth rate (μ), carrying capacity (K), and AUC, for the three treatments across different carbon sources. The original data are presented as scatter plots in Supplementary Figure 5. Correlations were assessed using ordinary least squares (OLS) regression; only statistically significant results are shown. Blue and orange indicate positive and negative correlations, respectively. Point size represents the absolute value of the p -value, with larger points corresponding to smaller p -values.

    Techniques Used: Comparison, Transformation Assay

    (A) Time to chlorophyll fluorescence loss (TCFL) for microbial biospheres co-cultured with the wild-type progenitor (WT) and the six evolved Escherichia coli ( E. coli ) populations. TCFL represents the persistence of the co-culture system. Orange hues denote populations pre-cultured in the HTG (spatially heterogeneous) system; blue hues denote those from the HMG (spatially homogeneous) system. Means without a common letter differ significantly (Dunn’s test, χ ²(6) = 66.994, η ² = 0.436, p < 0.01). (B) Log 10 -transformed E. coli population densities (cells per biosphere) for the three treatments (WT, HTG, and HMG) at the four destructive harvest time points. At each time point, means without a common letter differ significantly among treatments (Dunn’s test: Day 10, χ ²(6) = 14.286, η ² = 0.315, p < 0.05; Day 16, χ ²(2) = 13.104, η ² = 0.285, p = 0.001; Day 23, χ ²(2) = 26.243, η ² = 0.622, p < 0.05; Day 28, χ ²(6) = 15.022, η ² = 0.723, p < 0.05). The dashed line at the top indicates the initial number of E. coli cells inoculated per biosphere. (C) The percentage of biospheres in each state relative to the total number harvested per time point for the three treatments across the four harvests. “both” indicates biospheres where both E. coli and Chlamydomonas reinhardtii ( C. reinhardtii ) survived; “neither” indicates the opposite. “C. reinhardtii only” and “E. coli only” indicate biospheres where only the alga or the bacterium survived, respectively. (D) Comparison of motility and biofilm formation capacity before and after co-culture for the five E. coli populations successfully recovered at the fourth harvest.
    Figure Legend Snippet: (A) Time to chlorophyll fluorescence loss (TCFL) for microbial biospheres co-cultured with the wild-type progenitor (WT) and the six evolved Escherichia coli ( E. coli ) populations. TCFL represents the persistence of the co-culture system. Orange hues denote populations pre-cultured in the HTG (spatially heterogeneous) system; blue hues denote those from the HMG (spatially homogeneous) system. Means without a common letter differ significantly (Dunn’s test, χ ²(6) = 66.994, η ² = 0.436, p < 0.01). (B) Log 10 -transformed E. coli population densities (cells per biosphere) for the three treatments (WT, HTG, and HMG) at the four destructive harvest time points. At each time point, means without a common letter differ significantly among treatments (Dunn’s test: Day 10, χ ²(6) = 14.286, η ² = 0.315, p < 0.05; Day 16, χ ²(2) = 13.104, η ² = 0.285, p = 0.001; Day 23, χ ²(2) = 26.243, η ² = 0.622, p < 0.05; Day 28, χ ²(6) = 15.022, η ² = 0.723, p < 0.05). The dashed line at the top indicates the initial number of E. coli cells inoculated per biosphere. (C) The percentage of biospheres in each state relative to the total number harvested per time point for the three treatments across the four harvests. “both” indicates biospheres where both E. coli and Chlamydomonas reinhardtii ( C. reinhardtii ) survived; “neither” indicates the opposite. “C. reinhardtii only” and “E. coli only” indicate biospheres where only the alga or the bacterium survived, respectively. (D) Comparison of motility and biofilm formation capacity before and after co-culture for the five E. coli populations successfully recovered at the fourth harvest.

    Techniques Used: Fluorescence, Cell Culture, Co-Culture Assay, Transformation Assay, Comparison

    (A) Kaplan-Meier survival probability curves for microbial biospheres, grouped by four Escherichia coli ( E. coli ) phenotypic traits. Motility was assessed qualitatively using motility test media with results on a binary scale . Biofilm formation capacity was quantified using the tissue culture plate (TCP) method (72-hour data) . Populations were categorized based on comparing the raw OD570 values with those of the negative control. Pellicle formation was similarly assessed qualitatively, following the TCP protocol but with cultures grown in test tubes . (B) Forest plot presenting the results of the Cox proportional hazards model. HR = hazard ratio; CI = confidence interval; N = sample size. (C) Spearman’s rank correlation coefficients and statistical analysis results between the persistence of co-cultured microbial biospheres (characterized by time to chlorophyll fluorescence loss) and the following traits of the E. coli populations: the AUC of growth curves on eight carbon sources, motility, and biofilm formation capacity. Biofilm data for correlation analysis were raw OD570 values from the quantitative TCP assay (72-hour), not classified categories. The complete correlation heatmap is shown in Supplementary Figure 10. Orange and blue represent negative and positive correlations, respectively. Point size corresponds to p -values; all p -values were < 0.001.
    Figure Legend Snippet: (A) Kaplan-Meier survival probability curves for microbial biospheres, grouped by four Escherichia coli ( E. coli ) phenotypic traits. Motility was assessed qualitatively using motility test media with results on a binary scale . Biofilm formation capacity was quantified using the tissue culture plate (TCP) method (72-hour data) . Populations were categorized based on comparing the raw OD570 values with those of the negative control. Pellicle formation was similarly assessed qualitatively, following the TCP protocol but with cultures grown in test tubes . (B) Forest plot presenting the results of the Cox proportional hazards model. HR = hazard ratio; CI = confidence interval; N = sample size. (C) Spearman’s rank correlation coefficients and statistical analysis results between the persistence of co-cultured microbial biospheres (characterized by time to chlorophyll fluorescence loss) and the following traits of the E. coli populations: the AUC of growth curves on eight carbon sources, motility, and biofilm formation capacity. Biofilm data for correlation analysis were raw OD570 values from the quantitative TCP assay (72-hour), not classified categories. The complete correlation heatmap is shown in Supplementary Figure 10. Orange and blue represent negative and positive correlations, respectively. Point size corresponds to p -values; all p -values were < 0.001.

    Techniques Used: Negative Control, Cell Culture, Fluorescence

    (A) Proposed changes in motility, biofilm formation capacity, and carbon source utilization of E. coli under nutrient-limited conditions in closed monoculture systems and in microbial biospheres. Shaded areas indicate inferred trends. (B) Hypothesized and experimentally inferred relationship between E. coli carbon source utilization capacity and the persistence of co-cultured microbial biospheres.
    Figure Legend Snippet: (A) Proposed changes in motility, biofilm formation capacity, and carbon source utilization of E. coli under nutrient-limited conditions in closed monoculture systems and in microbial biospheres. Shaded areas indicate inferred trends. (B) Hypothesized and experimentally inferred relationship between E. coli carbon source utilization capacity and the persistence of co-cultured microbial biospheres.

    Techniques Used: Cell Culture



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    Wild-type Escherichia coli (WT E. coli ) was first subjected to 60-day monoculture in two enclosed environments without added nutrients (HTG: spatially heterogeneous; HMG: spatially homogeneous). The evolved populations, along with the WT progenitor, were then assayed for motility, biofilm formation, pellicle formation, curli fimbriae expression, and growth curves on eight distinct carbon sources. Subsequently, each evolved population and the WT progenitor was individually paired with Chlamydomonas reinhardtii for co-culture in a spatially structured microbial biosphere established in 48-well plates. System persistence was tracked by continuous measurement of autofluorescence, and population dynamics were investigated through four destructive samplings.

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: Wild-type Escherichia coli (WT E. coli ) was first subjected to 60-day monoculture in two enclosed environments without added nutrients (HTG: spatially heterogeneous; HMG: spatially homogeneous). The evolved populations, along with the WT progenitor, were then assayed for motility, biofilm formation, pellicle formation, curli fimbriae expression, and growth curves on eight distinct carbon sources. Subsequently, each evolved population and the WT progenitor was individually paired with Chlamydomonas reinhardtii for co-culture in a spatially structured microbial biosphere established in 48-well plates. System persistence was tracked by continuous measurement of autofluorescence, and population dynamics were investigated through four destructive samplings.

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Expressing, Co-Culture Assay

    (A) Log 10 -transformed viable cell counts of Escherichia coli ( E. coli ) at the initiation and upon destructive harvest after 60 days of monoculture in two distinct systems (HTG: spatially heterogeneous; HMG: spatially homogeneous). Thin semi-transparent lines and small points represent the three biological replicates per treatment ( n = 3). Thick lines and large points indicate the group means. While the mean cell concentration in the HMG at harvest was numerically higher than in the HTG, the difference was not statistically significant (Mann-Whitney U test, W = 9, p = 0.077). (B) Sankey diagram illustrating the nomenclature of E. coli MC4100 samples under three treatments (WT: untreated wild-type progenitor; HTG/HMG: subjected to 60-day monoculture in the respective systems) and the phenotypic divergence of evolved populations relative to the WT progenitor. The x-axis “biofilm” represents the qualitative assessment of biofilm formation using Congo Red agar (CRA), with results on a binary scale .

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: (A) Log 10 -transformed viable cell counts of Escherichia coli ( E. coli ) at the initiation and upon destructive harvest after 60 days of monoculture in two distinct systems (HTG: spatially heterogeneous; HMG: spatially homogeneous). Thin semi-transparent lines and small points represent the three biological replicates per treatment ( n = 3). Thick lines and large points indicate the group means. While the mean cell concentration in the HMG at harvest was numerically higher than in the HTG, the difference was not statistically significant (Mann-Whitney U test, W = 9, p = 0.077). (B) Sankey diagram illustrating the nomenclature of E. coli MC4100 samples under three treatments (WT: untreated wild-type progenitor; HTG/HMG: subjected to 60-day monoculture in the respective systems) and the phenotypic divergence of evolved populations relative to the WT progenitor. The x-axis “biofilm” represents the qualitative assessment of biofilm formation using Congo Red agar (CRA), with results on a binary scale .

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Transformation Assay, Concentration Assay, MANN-WHITNEY

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet:

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques:

    (A) Comparison of the area under the curve (AUC) for growth curves on eight carbon sources between the wild-type progenitor (WT) and three evolved populations from each monoculture system (HTG: spatially heterogeneous; HMG: spatially homogeneous). Data were normalized to the AUC of the WT and log 10 -transformed. Consequently, the AUC for the WT is 0 for each carbon source; values > 0 indicate an increase relative to WT, while values < 0 indicate a decrease. CreiNecro and EcoNecro denote the necromass of Chlamydomonas reinhardtii and Escherichia coli , respectively. The original AUC data are presented as beeswarm plots in Supplementary Figures 2-4. (B) Heatmap comparing the AUC for growth curves on eight carbon sources among the three treatment groups (WT, HTG, HMG). Data were similarly normalized to the WT AUC but without log 10 transformation. Values are displayed as mean ± standard error (SE). (C) Correlations among three growth parameters, maximum growth rate (μ), carrying capacity (K), and AUC, for the three treatments across different carbon sources. The original data are presented as scatter plots in Supplementary Figure 5. Correlations were assessed using ordinary least squares (OLS) regression; only statistically significant results are shown. Blue and orange indicate positive and negative correlations, respectively. Point size represents the absolute value of the p -value, with larger points corresponding to smaller p -values.

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: (A) Comparison of the area under the curve (AUC) for growth curves on eight carbon sources between the wild-type progenitor (WT) and three evolved populations from each monoculture system (HTG: spatially heterogeneous; HMG: spatially homogeneous). Data were normalized to the AUC of the WT and log 10 -transformed. Consequently, the AUC for the WT is 0 for each carbon source; values > 0 indicate an increase relative to WT, while values < 0 indicate a decrease. CreiNecro and EcoNecro denote the necromass of Chlamydomonas reinhardtii and Escherichia coli , respectively. The original AUC data are presented as beeswarm plots in Supplementary Figures 2-4. (B) Heatmap comparing the AUC for growth curves on eight carbon sources among the three treatment groups (WT, HTG, HMG). Data were similarly normalized to the WT AUC but without log 10 transformation. Values are displayed as mean ± standard error (SE). (C) Correlations among three growth parameters, maximum growth rate (μ), carrying capacity (K), and AUC, for the three treatments across different carbon sources. The original data are presented as scatter plots in Supplementary Figure 5. Correlations were assessed using ordinary least squares (OLS) regression; only statistically significant results are shown. Blue and orange indicate positive and negative correlations, respectively. Point size represents the absolute value of the p -value, with larger points corresponding to smaller p -values.

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Comparison, Transformation Assay

    (A) Time to chlorophyll fluorescence loss (TCFL) for microbial biospheres co-cultured with the wild-type progenitor (WT) and the six evolved Escherichia coli ( E. coli ) populations. TCFL represents the persistence of the co-culture system. Orange hues denote populations pre-cultured in the HTG (spatially heterogeneous) system; blue hues denote those from the HMG (spatially homogeneous) system. Means without a common letter differ significantly (Dunn’s test, χ ²(6) = 66.994, η ² = 0.436, p < 0.01). (B) Log 10 -transformed E. coli population densities (cells per biosphere) for the three treatments (WT, HTG, and HMG) at the four destructive harvest time points. At each time point, means without a common letter differ significantly among treatments (Dunn’s test: Day 10, χ ²(6) = 14.286, η ² = 0.315, p < 0.05; Day 16, χ ²(2) = 13.104, η ² = 0.285, p = 0.001; Day 23, χ ²(2) = 26.243, η ² = 0.622, p < 0.05; Day 28, χ ²(6) = 15.022, η ² = 0.723, p < 0.05). The dashed line at the top indicates the initial number of E. coli cells inoculated per biosphere. (C) The percentage of biospheres in each state relative to the total number harvested per time point for the three treatments across the four harvests. “both” indicates biospheres where both E. coli and Chlamydomonas reinhardtii ( C. reinhardtii ) survived; “neither” indicates the opposite. “C. reinhardtii only” and “E. coli only” indicate biospheres where only the alga or the bacterium survived, respectively. (D) Comparison of motility and biofilm formation capacity before and after co-culture for the five E. coli populations successfully recovered at the fourth harvest.

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: (A) Time to chlorophyll fluorescence loss (TCFL) for microbial biospheres co-cultured with the wild-type progenitor (WT) and the six evolved Escherichia coli ( E. coli ) populations. TCFL represents the persistence of the co-culture system. Orange hues denote populations pre-cultured in the HTG (spatially heterogeneous) system; blue hues denote those from the HMG (spatially homogeneous) system. Means without a common letter differ significantly (Dunn’s test, χ ²(6) = 66.994, η ² = 0.436, p < 0.01). (B) Log 10 -transformed E. coli population densities (cells per biosphere) for the three treatments (WT, HTG, and HMG) at the four destructive harvest time points. At each time point, means without a common letter differ significantly among treatments (Dunn’s test: Day 10, χ ²(6) = 14.286, η ² = 0.315, p < 0.05; Day 16, χ ²(2) = 13.104, η ² = 0.285, p = 0.001; Day 23, χ ²(2) = 26.243, η ² = 0.622, p < 0.05; Day 28, χ ²(6) = 15.022, η ² = 0.723, p < 0.05). The dashed line at the top indicates the initial number of E. coli cells inoculated per biosphere. (C) The percentage of biospheres in each state relative to the total number harvested per time point for the three treatments across the four harvests. “both” indicates biospheres where both E. coli and Chlamydomonas reinhardtii ( C. reinhardtii ) survived; “neither” indicates the opposite. “C. reinhardtii only” and “E. coli only” indicate biospheres where only the alga or the bacterium survived, respectively. (D) Comparison of motility and biofilm formation capacity before and after co-culture for the five E. coli populations successfully recovered at the fourth harvest.

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Fluorescence, Cell Culture, Co-Culture Assay, Transformation Assay, Comparison

    (A) Kaplan-Meier survival probability curves for microbial biospheres, grouped by four Escherichia coli ( E. coli ) phenotypic traits. Motility was assessed qualitatively using motility test media with results on a binary scale . Biofilm formation capacity was quantified using the tissue culture plate (TCP) method (72-hour data) . Populations were categorized based on comparing the raw OD570 values with those of the negative control. Pellicle formation was similarly assessed qualitatively, following the TCP protocol but with cultures grown in test tubes . (B) Forest plot presenting the results of the Cox proportional hazards model. HR = hazard ratio; CI = confidence interval; N = sample size. (C) Spearman’s rank correlation coefficients and statistical analysis results between the persistence of co-cultured microbial biospheres (characterized by time to chlorophyll fluorescence loss) and the following traits of the E. coli populations: the AUC of growth curves on eight carbon sources, motility, and biofilm formation capacity. Biofilm data for correlation analysis were raw OD570 values from the quantitative TCP assay (72-hour), not classified categories. The complete correlation heatmap is shown in Supplementary Figure 10. Orange and blue represent negative and positive correlations, respectively. Point size corresponds to p -values; all p -values were < 0.001.

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: (A) Kaplan-Meier survival probability curves for microbial biospheres, grouped by four Escherichia coli ( E. coli ) phenotypic traits. Motility was assessed qualitatively using motility test media with results on a binary scale . Biofilm formation capacity was quantified using the tissue culture plate (TCP) method (72-hour data) . Populations were categorized based on comparing the raw OD570 values with those of the negative control. Pellicle formation was similarly assessed qualitatively, following the TCP protocol but with cultures grown in test tubes . (B) Forest plot presenting the results of the Cox proportional hazards model. HR = hazard ratio; CI = confidence interval; N = sample size. (C) Spearman’s rank correlation coefficients and statistical analysis results between the persistence of co-cultured microbial biospheres (characterized by time to chlorophyll fluorescence loss) and the following traits of the E. coli populations: the AUC of growth curves on eight carbon sources, motility, and biofilm formation capacity. Biofilm data for correlation analysis were raw OD570 values from the quantitative TCP assay (72-hour), not classified categories. The complete correlation heatmap is shown in Supplementary Figure 10. Orange and blue represent negative and positive correlations, respectively. Point size corresponds to p -values; all p -values were < 0.001.

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Negative Control, Cell Culture, Fluorescence

    (A) Proposed changes in motility, biofilm formation capacity, and carbon source utilization of E. coli under nutrient-limited conditions in closed monoculture systems and in microbial biospheres. Shaded areas indicate inferred trends. (B) Hypothesized and experimentally inferred relationship between E. coli carbon source utilization capacity and the persistence of co-cultured microbial biospheres.

    Journal: bioRxiv

    Article Title: Rapid evolution in necromass use under resource limitation reduces persistence in producer-decomposer microbial biospheres

    doi: 10.64898/2026.01.14.699458

    Figure Lengend Snippet: (A) Proposed changes in motility, biofilm formation capacity, and carbon source utilization of E. coli under nutrient-limited conditions in closed monoculture systems and in microbial biospheres. Shaded areas indicate inferred trends. (B) Hypothesized and experimentally inferred relationship between E. coli carbon source utilization capacity and the persistence of co-cultured microbial biospheres.

    Article Snippet: E. coli MC4100 was obtained from the Leibniz-Institut DSMZ (DSM 6574).

    Techniques: Cell Culture

    Fig. 3 | Classes of 70S, 50S, 30S, and pre-50S particles identified in E. coli RN31 grown in the presence or the absence of Api137. States identified in (a) the presence of Api137 and (b) in the absence of Api137. States are named and color- coded according to structural features and assembly checkpoints. Colored boxes indicate grouping of states based on similar structural characteristics. States are shown as structural surface models at 5 Å resolution. Invariant parts between the pre-

    Journal: Nature communications

    Article Title: The proline-rich antimicrobial peptide Api137 disrupts large ribosomal subunit assembly and induces misfolding.

    doi: 10.1038/s41467-025-55836-8

    Figure Lengend Snippet: Fig. 3 | Classes of 70S, 50S, 30S, and pre-50S particles identified in E. coli RN31 grown in the presence or the absence of Api137. States identified in (a) the presence of Api137 and (b) in the absence of Api137. States are named and color- coded according to structural features and assembly checkpoints. Colored boxes indicate grouping of states based on similar structural characteristics. States are shown as structural surface models at 5 Å resolution. Invariant parts between the pre-

    Article Snippet: 7 14 21 28 35 42 49 56 63 70 77 0 50 100 + Api137 7 14 21 28 35 42 49 56 63 70 77 0 50 100 + Onc112 7 14 21 28 35 42 49 56 63 70 77 0 50 100 RN31 re la tiv e m C he rr y , EG FP flu or es ce nc e, A 2 54 [% ] hf g c a d e RN31 E. coli MC4100 E. coli MC4100 E. coli RN31 b heavy proteins 30S sucrose content 50S 70S E. coli MC4100 +Api137 (8 μg/mL) +Onc112 (8 μg/mL) 0 50 100 re la tiv e A 25 4 [% ] cryo-EM & data analysis cell growth & lysis sucrose gradientultra centrifugation 30S 50S 70S 30S 50S pre50S 70S fraction fraction fraction Sta nda rd MC 410 0 RN 31 MW 250 100 150 75 50 37 25 20 15 10 L19 S20 L19-EFP S20-mCherry } * +Api137(2)(1) +Api137 control 0.2 0.4 0.6 0.8 1.0 O D 60 0 +O nc1 12 +A pi1 37 +O nc1 12 +A pi1 37 Nature Communications | (2025) 16:567 3 At this point, a word of caution is warranted.

    Techniques: