Spatial alanine metabolism determines local growth dynamics of Escherichia coli colonies

  1. Francisco Díaz-Pascual
  2. Martin Lempp
  3. Kazuki Nosho
  4. Hannah Jeckel
  5. Jeanyoung K Jo
  6. Konstantin Neuhaus
  7. Raimo Hartmann
  8. Eric Jelli
  9. Mads Frederik Hansen
  10. Alexa Price-Whelan
  11. Lars EP Dietrich
  12. Hannes Link
  13. Knut Drescher  Is a corresponding author
  1. Max Planck Institute for Terrestrial Microbiology, Germany
  2. Department of Physics, Philipps-Universität Marburg, Germany
  3. Biozentrum, University of Basel, Switzerland
  4. Department of Biological Sciences, Columbia University, United States
  5. Interfaculty Institute for Microbiology and Infection Medicine, Eberhard Karls Universität Tübingen, Germany

Decision letter

  1. Karina B Xavier
    Reviewing Editor; Instituto Gulbenkian de Ciência, Portugal
  2. Gisela Storz
    Senior Editor; National Institute of Child Health and Human Development, United States
  3. Karina B Xavier
    Reviewer; Instituto Gulbenkian de Ciência, Portugal

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Spatial alanine metabolism determines local growth dynamics of Escherichia coli colonies" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, including Karina B Xavier as the Reviewing Editor and Reviewer #1, and the evaluation has been overseen by Gisela Storz as the Senior Editor.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

In general, all three reviewers found the work technical very sound with potential impact for thinking about the spatial structure of bacterial species in biofilm in all bacterial species. While they recognize the interest of the proposed nutrient cross-feeding model for explaining the observed phenotypic spatial heterogeneity within the biofilm the reviewers think that additional experiments or arguments are needed to support the proposed model. Additionally, the reviewers also propose a couple of additional simple experiments which could help improve the significance of the finding reported in the paper.

The major points to be addressed are listed in the 3 essential revisions below. Additionally, you can also find in the end of this letter the sperate "recommendations for the authors" written by each of the reviewers which should help you to improve the manuscript and to better understand the rationale used by each of the reviewers that support for the proposed essential reviews. We recommend that you take the recommendations written by each of the reviewers into consideration while preparing the revised version, but you do not need to reply to each of the individual comments from the reviewers, you will only need to reply the essential points summarized here by the reviewing editor:

1) We propose that the authors revise the model considering the following point: Specifically, we are concern about the fact that the authors are assuming that the cells are respiring, or fermenting based on whether they are in aerobic (oxygen expose) or anaerobic areas of the biofilm or not. In liquid cultures it is well known that bacteria use fermentative metabolism to promote fast growth, irrespective of oxygen levels, if the glucose levels in the medium are high enough. This could happen at the edge of the biofilm; cells are in close contact to the glucose of the agar medium. Thus, we question that the fast-growing bacteria at the edge of the biofilm are probably fermenting cells and not respiring cells.

Therefore, we recommend that the authors revisit their model or include data that support the correlation between oxygen/respiration. One possibility that we recommend to the authors is to correlate the fermenting or respiring biofilm regions to glucose (and or alanine) levels instead of oxygen levels (this point is discussed in more detail in the specific recommendation of reviewer #3).

2) Also related to the cross-feeding model, we recommend that the model described in Figure 6 also addresses what happens with the alaE dadAX mutant (which is impaired in cross-feeding), as this could help in understanding the overall proposed model (see major comment 1 from reviewer 1).

3) To improve the broader relevance and overall implication of the findings described in the paper the reviewers propose the following two set of experiments: A) to determine if there are potential fitness advantages of the proposed alanine cross-feeding mechanism the authors could ask if there is a fitness advantage for the WT versus the mutant impaired in cross-feeding within the biofilm (see major comment 2 from reviewer 1), B) to shed some light on potential selective pressures related to alanine metabolism the authors could look at biofilms in colonies composed of a mixtures of WT and the alaE dadAX mutant (which is impaired in cross-feeding) and look for potential spatial sorting of the two strains within the biofilm community (see major comment 4 of reviewer 2).

Reviewer #1 (Recommendations for the authors):

I have a couple major comments/questions that could be important for strengthening the model proposed in the paper:

1 – The authors present a cross-feeding model in Figure 6 based on alanine cross-feeding explaining with the proposed model for the WT biofilm colonies. But, I think that the discussion about what happens in the alaE dadAX mutant is also important. I think it is important to also discuss what happens with the mutant, namely regarding cell death within the biofilm. Perhaps also have a scheme for the mutant, but at least to address it in the discussion.

2 – I think it is not clearly demonstrated that there is a benefit for the overall fitness of the population within colony biofilm for having the proposed cross-feeding mechanism. But because there is more cell death in the alaE dadAX mutant it is likely that there is a fitness benefit. This could be tested by scrapping WT and mutant biofilms, disaggregating them and then determine colony forming units. This experiment should allow to address this question.

3 – Alanine secretion under high nitrogen and high carbon conditions resemble what happens with acetate secretion, namely also because both metabolites are then consumed by starved cells. The authors mention this in the discussion. I think that the fact that cells are secreting alanine and not acetate is interesting. Perhaps it is relevant to comment on the fact that the cells secreting alanine in the biofilm have an excess of both Carbon and Nitrogen, as opposed to carbon only. Perhaps cells secrete acetate when Carbon is in excess but Nitrogen and secrete alanine when both are in excess, no?

Reviewer #2 (Recommendations for the authors):

Most of my suggestions focus on the broader relevance of these findings, which I think the authors could extend quite substantially with a few more experiments.

1. Line 100: the study suggests that the shift in the transcriptome after 24 h is due to oxygen depletion, but the authors don't actually show this (I don't think). They could monitor oxygen directly over time to address this point directly, e.g. through oxygen-sensitive nanoparticles.

2. Line 154: I'm confused: couldn't the mRuby2 fluorescence increase due to moving the colony, which would expose it to more oxygen? Also, there's a typo: "in for formerly".

3. In terms of why the mutant cells are dying (line 207), the authors suggest that it is due to the accumulation of alanine, which they can recapitulate through live/dead staining in liquid culture. It could be fascinating to track cells at the single-cell level – do the cells lyse? (if so, this could impact surrounding cells in a colony, by releasing more alanine and thereby increasing the local concentration) Or do the cells simply halt growth and become permeable?

4. In a colony that is made up of a mixture of wild-type and ∆alaE∆dadAX cells, do the two strains spatially sort based on their differential ability to grow in aerobic regions of the colony? This simple experiment could shed some light on the selective pressures on alanine metabolism.

5. Line 229: can it simply be cell death that is providing the exogenous alanine?

6. Figure 4D: why is there not increased cell death in the parent at high concentrations (5 mM) since the growth rate is lower at this concentration? And more generally, is the reduction in growth rate in the mutant quantitatively explained by the death rate, or do you have to invoke a second mechanism?

7. Line 275: For the bulge morphology, can this be restored in a mixed colony of wild-type and the mutant? Or do you get an intermediate phenotype?

8. How is the spatial patterning that they see affected by the ability of cells to produce matrix?

9. Their model seems to predict what you would see in a more two-dimensional text, when colonies are sandwiched between a cover glass. This could be a neat means to further investigate the significance of alanine export for growth rate of the colony.

10. What about the presence of another species that consumes alanine, will it colocalize preferentially at the aerobic region?

Reviewer #3 (Recommendations for the authors):

I recommend the authors to revisit the idea of linking oxic/anoxic regions with alanine producers/consumers. Maybe is true but it needs stronger evidence-support because is different from what is described in liquid cultures. In the light of the data presented, I think is better idea to link alanine metabolism to glucose availability; it makes a stronger case,

1) The authors equate the aerobic or anaerobic areas of the biofilm with respiring (fast-growing) or fermenting (slow-growing) cells, respectively. Is this already known? I am confused because, in liquid cultures, cells use fermentation to grow when carbohydrates are abundant and rely on respiration when the concentration of carbohydrates decreases. Hence, the regions with fast cell growth should show fermentative growth (alanine production) whereas the regions with slow growth undergo respiration and consume alanine as a non-preferred catabolite. Notice that these two biofilm areas are equally exposed to oxygen. This does not really fit with the model in figure 6 in which fast growing cells respire at high carbohydrate concentration. I can see a correlation between alanine metabolism and glucose abundance but the connection to oxygen levels is not clear to me.

2) I am not convinced that maturation of the fluorescent protein mRuby2 is indicative of respiring bacteria. I think it is a very elegant way to identify the aerobic areas of the biofilm but again, bacteria can ferment even in the presence of oxygen, if the concentration of carbohydrates is high enough (i.e. crabtree effect in yeast, overflow metabolism in bacteria or Warburg effect in cancer cells). The subpopulation of fluorescence cells likely combine fermenting (closer edge to the agar) and respiring (middle-height edge of the colony) bacteria. Moreover, the authors removed glucose from the medium to alter the metabolic processes that consume oxygen (line 151) but this will severely impact fermentative growth as well.

3) I do not understand how these extracellular alanine concentrations are toxic to the cells. The paper cited is about intracellular alanine (Katsube et al., 2019). Is there anything known about how extracellular alanine levels are toxic to the cells?

Line 114: "Lactate, formate and succinate biosynthesis, however, displayed interesting dynamics during colony growth". This sentence has no meaning as it does not describe the data. In what way are these dynamics interesting?

Line 125: "All amino acid abundances decreased during colony growth, except for alanine, which remained relatively constant with a peak abundance at 32 h". Several aminoacids derive from alanine metabolism. I wonder how the level of these aminoacids did not remain closer to that of alanine

Line 129: I do not understand how the transcriptomic or metabolomic data invited the authors to explore whether alanine metabolism is spatially heterogeneous during biofilm growth.

Lines 217-260: these two paragraphs describing the phenotypes of different mutants in alanine metabolism are hard to digest. I read them several times and I do not think I understood.

https://doi.org/10.7554/eLife.70794.sa1

Author response

Essential revisions:

1) We propose that the authors revise the model considering the following point: Specifically, we are concern about the fact that the authors are assuming that the cells are respiring, or fermenting based on whether they are in aerobic (oxygen expose) or anaerobic areas of the biofilm or not. In liquid cultures it is well known that bacteria use fermentative metabolism to promote fast growth, irrespective of oxygen levels, if the glucose levels in the medium are high enough. This could happen at the edge of the biofilm; cells are in close contact to the glucose of the agar medium. Thus, we question that the fast-growing bacteria at the edge of the biofilm are probably fermenting cells and not respiring cells.

Therefore, we recommend that the authors revisit their model or include data that support the correlation between oxygen/respiration. One possibility that we recommend to the authors is to correlate the fermenting or respiring biofilm regions to glucose (and or alanine) levels instead of oxygen levels (this point is discussed in more detail in the specific recommendation of reviewer #3).

We thank the reviewers for this comment. We agree that our statements equating oxic conditions to respiration were inaccurate and that the cells in the glucose-, ammonium-, and oxygen-rich region of the colony (i.e. the edge of the base of the colony) could perform overflow metabolism instead of aerobic respiration. We currently cannot distinguish these two metabolic states in the relevant region of the colony, yet such a distinction would not have a major impact on our conclusions. To correct our inaccurate statements, we have therefore made the following changes to the manuscript:

– In Figure 6, we labeled the relevant region of the colony with “overflow metabolism or aerobic respiration”, and we also updated the caption of Figure 6 accordingly.

– We also added a new statement in the main text where the model (i.e. Figure 6) is described, as follows (main text, lines 344-348):

“Based on our results, we propose the following model for the spatial organization of alanine metabolism in colonies that have grown for 72 h (Figure 6A): Cells at the bottom periphery of the colony (red region in Figure 6A) have access to oxygen, glucose and ammonium, and perform either aerobic respiration or overflow metabolism (Basan et al., 2015; Cole et al., 2015) – these two possible metabolic states cannot be distinguished with our current approaches.”

– Throughout the entire manuscript, we also revised all mentions of the terms “aerobic”, “anaerobic”, “respiration”, and “fermentation”, and, where appropriate, rephrased them.

2) Also related to the cross-feeding model, we recommend that the model described in Figure 6 also addresses what happens with the alaE dadAX mutant (which is impaired in cross-feeding), as this could help in understanding the overall proposed model (see major comment 1 from reviewer 1).

We agree that this would be a helpful addition to the manuscript. In response, we have made the following changes to the manuscript:

– We expanded the model description in the Discussion section, to include the ΔalaEΔdadAX mutant (in lines 358-362).

– We have included a new panel in Figure 6 to highlight the differences between the parental strain and the ΔalaEΔdadAX mutant.

3) To improve the broader relevance and overall implication of the findings described in the paper the reviewers propose the following two set of experiments: A) to determine if there are potential fitness advantages of the proposed alanine cross-feeding mechanism the authors could ask if there is a fitness advantage for the WT versus the mutant impaired in cross-feeding within the biofilm (see major comment 2 from reviewer 1), B) to shed some light on potential selective pressures related to alanine metabolism the authors could look at biofilms in colonies composed of a mixtures of WT and the alaE dadAX mutant (which is impaired in cross-feeding) and look for potential spatial sorting of the two strains within the biofilm community (see major comment 4 of reviewer 2).

We thank the reviewers once more for their helpful suggestions.

Regarding proposed experiment A:

The reviewers are asking for an experiment to test if there is a fitness benefit for the whole colony if the colony is capable of the spatially organized alanine cross-feeding process we are describing in this manuscript. To investigate this question, we have measured the colony diameter and colony height of the cross-feeding capable strain (parental strain) and the cross-feeding impaired strain (ΔalaEΔdadAX). The results show that the colony size is not significantly different between these two strains (panels B,C in Figure 4—figure supplement 1). We expect that CFU counts of such colonies (as suggested by reviewer 1, comment 2) would have a larger measurement uncertainty than microscopy-based measurements of colony sizes so that we performed microscopy measurements instead of CFU measurements. To be able to resolve the expected small fitness benefit of cross-feeding for the whole colony, a very large number of biological replicates would be needed, given the natural variation of colony sizes between biological replicates shown in Figure 4—figure supplement 1.

We also note that in our system the cell death of the ΔalaEΔdadAX colonies reaches only 4% of the total biomass in the cross-feeding dependent region of the colony (shown in Figure 4A). We therefore expect that for the whole colony, the global fitness benefit of alanine cross-feeding is relatively small. To highlight this point in the manuscript, we have made the following changes:

– We revised the section of the manuscript where the effects of alanine secretion and consumption on colony growth are described (lines 224-230):

“To determine how interference with alanine export and consumption affects colony growth, we created individual and combinatorial deletions of known alanine transport and degradation genes. None of these deletions affected the cellular growth rates in liquid culture (Figure 4—figure supplement 1A). These deletions also did not cause clear phenotypes in colony height or diameter after 72 h of incubation on M9 agar (Figure 4—figure supplement 1B,C), indicating that alanine export and consumption do not have large effects on global colony size. However, the mutants displayed substantial differences when we measured the fraction of dead cells in the oxic region”

– We also expanded the section of the manuscript on the effect of alanine cross-feeding on colony morphology (lines 315-321):

“From measurements of the colony height and diameter for mutants impaired in cross-feeding, we know that alanine cross-feeding does not have a major influence on colony size (Figure 4—figure supplement 1). These measurements of colony height and diameter also show that alanine cross-feeding does not contribute to aerobic growth at the very top of the colony or at the outer edge of the base. We therefore investigated effects of alanine cross-feeding on cellular growth in the oxic region at mid-height,”

– Figure 4—figure supplement 1 and caption have been updated.

Regarding proposed experiment B:

We agree that this experiment would provide helpful new insights into the impact of alanine cross-feeding on colony biofilm growth. We have performed this experiment and added a new supplemental figure and a new section in the manuscript to describe the results.

It is important to note that the proposed experiment required that two strains were mixed together and a drop of the resulting culture suspension was spotted onto a filter membrane on agar. This inoculation condition is different from all other colonies grown and investigated for this study – these colonies were exclusively grown from a single bacterial cell seeded onto the filter membrane on agar. The resulting 3D morphologies of colonies grown from a single cell and colonies grown from a 1 µL drop of culture suspension are quite different. In particular, the colonies grown from a drop of culture suspension were flatter and wider compared to the colonies grown from single cells. Therefore, the results from the two-strain competition experiments are not completely comparable to the other experiments in this study, yet they provide some new insights that we believe are valuable.

In our implementation of the two-strain competition experiments, we mixed two strains together at approximately 1:1 ratio, measured the exact strain ratio using flow cytometry, and inoculated a small drop of this suspension on a filter membrane on M9 agar. We then measured the strain frequency at the growing front of the colony using microscopy.

Our results show that the cross-feeding impaired ΔalaEΔdadAX strain was outcompeted by the parental strain in colonies (new Figure 4—figure supplement 4), despite having no liquid culture growth difference (Figure 4—figure supplement 1).

In response to this comment by the reviewers, we have made the following changes to the manuscript:

– We added a new paragraph in the Results section of the manuscript (lines 296-312).

– We also briefly mention these new results in the discussion (lines 358-362).

– We also added a new figure: Figure 4—figure supplement 4.

Reviewer #1 (Recommendations for the authors):

I have a couple major comments/questions that could be important for strengthening the model proposed in the paper:

1 – The authors present a cross-feeding model in Figure 6 based on alanine cross-feeding explaining with the proposed model for the WT biofilm colonies. But, I think that the discussion about what happens in the alaE dadAX mutant is also important. I think it is important to also discuss what happens with the mutant, namely regarding cell death within the biofilm. Perhaps also have a scheme for the mutant, but at least to address it in the discussion.

This comment is reflected in the Essential Revision #2, and we provide a detailed answer to this comment above.

2 – I think it is not clearly demonstrated that there is a benefit for the overall fitness of the population within colony biofilm for having the proposed cross-feeding mechanism. But because there is more cell death in the alaE dadAX mutant it is likely that there is a fitness benefit. This could be tested by scrapping WT and mutant biofilms, disaggregating them and then determine colony forming units. This experiment should allow to address this question.

This comment is reflected in the Essential Revision #3 (“Experiment A”), and we provide a detailed answer to this comment above.

3 – Alanine secretion under high nitrogen and high carbon conditions resemble what happens with acetate secretion, namely also because both metabolites are then consumed by starved cells. The authors mention this in the discussion. I think that the fact that cells are secreting alanine and not acetate is interesting. Perhaps it is relevant to comment on the fact that the cells secreting alanine in the biofilm have an excess of both Carbon and Nitrogen, as opposed to carbon only. Perhaps cells secrete acetate when Carbon is in excess but Nitrogen and secrete alanine when both are in excess, no?

This is an interesting suggestion. We agree that there are some analogies between alanine secretion and acetate secretion. Although our spatial transcriptome data show no characteristic signature of acetate cross-feeding, it is not impossible that acetate cross-feeding takes place in our conditions (perhaps no spatially organized transcriptional regulation is required for this). Cole et al., 2015 (https://doi.org/10.1186/s12918-015-0155-1) present data that is consistent with acetate cross-feeding in E. coli colonies, using fluorescent reporters. In our system fluorescent protein reporters for acetate secretion at the base of the colony would not be conclusive because of the oxygen requirement for fluorescent protein folding – which was the basis of our method for obtaining spatial transcriptomes.

To the best of our knowledge acetate secretion does not rely on low nitrogen levels, and we speculate that cells in the anoxic region are perhaps secreting acetate as well as alanine (and perhaps also succinate, formate, and lactate, and likely even more compounds). We are currently planning a follow-up study, where we will investigate more broadly whether these (and other) metabolites are cross-fed.

In response to this comment, we have added a statement in the discussion (lines 390-395):

“Interestingly, our spatial transcriptomes did not reveal a signature for acetate cross-feeding between the anaerobic and oxic regions of the colony (Figure 1— figure supplement 4B), yet transcripts coding for enzymes involved in lactate, formate, and succinate metabolism display patterns that are indicative of spatially organized metabolism that could be the basis of carbon cross-feeding. Whether acetate, lactate, formate and succinate are in fact cross-fed in our system remains to be tested in future work.”

Reviewer #2 (Recommendations for the authors):

Most of my suggestions focus on the broader relevance of these findings, which I think the authors could extend quite substantially with a few more experiments.

1. Line 100: the study suggests that the shift in the transcriptome after 24 h is due to oxygen depletion, but the authors don't actually show this (I don't think). They could monitor oxygen directly over time to address this point directly, e.g. through oxygen-sensitive nanoparticles.

We have performed such measurements, which are summarized below, including the context:

The temporal transcriptome data we acquired (Figure 1C) is an average of the entire colony and does not resolve heterogeneity inside the colony. The transcriptome shift that occurs at around 24 h shows that the average transcriptome of the colony has a shift towards anaerobic metabolism, which is a state in which the average transcriptome remains until the end of our experiments (72 h).

For 72 h colonies we performed direct measurements of oxygen levels with spatial resolution using an oxygen microsensor. These measurements of oxygen levels inside the colony closely align with mRuby2 fluorescence levels (mRuby2 requires oxygen to fold into a fluorescent conformation), indicating that mRuby2 levels in our system correlate with oxygen abundance (Figure 2A), and that mRuby2 fluorescence can be used to measure spatial heterogeneity of oxygen levels in our system.

By measuring mRuby2 levels in space and time during colony growth, and by computing the ratio between mRuby2 fluorescent/non-fluorescent cells we can compute the ratio of cells in the oxic/anoxic regions of the colony (Figure 2B, inset). Indeed, these measurements of heterogeneity of oxygen levels show a shift towards a largely anoxic colony around 24 h.

To highlight these measurements, we expanded the description of Figure 2B, resulting in the following changes to the manuscript (lines 148-152):

“During colony growth, the fraction of fluorescent cells in the colony decreased (inset in Figure 2B), and the majority of the colony became non-fluorescent (i.e. anoxic) around 24 h, which coincides with the time at which the whole-colony transcriptome shifted towards anaerobic metabolism (Figure 1C). This decrease in the mRuby2-fluorescent population during colony growth ultimately lead to a thin layer of fluorescent cells in the air-facing part of the colony (Figure 2B).”

The reviewer’s suggestion of an alternative measurement method for oxygen levels is interesting, but we feel that the existing data we described above are already unambiguous regarding the change in metabolism related to a spatially segregated anaerobic population.

2. Line 154: I'm confused: couldn't the mRuby2 fluorescence increase due to moving the colony, which would expose it to more oxygen? Also, there's a typo: "in for formerly".

We thank the reviewer for pointing out that our description was not clear. Indeed, there are two effects when the filter carrying the colonies is moved to a fresh M9 agar plate without glucose:

– Effect 1: The fresh agar plate initially has some oxygen underneath the colonies.

– Effect 2: The cells in the colony are now starved of glucose and therefore consume a lot less oxygen, which enables oxygen to diffuse into the colony to enable mRuby2 folding throughout the entire colony.

Effect 2 is shown in Figure 2—figure supplement 1B,C,D. Effect 1 will only cause an initial folding of mRuby2 near the bottom surface of the colony (similar to the thin mRuby2 fluorescent zone in the air-exposed region of the colony), but this effect cannot explain that mRuby2 fluorescence emerges throughout the entire depth of the colony after transfer to the M9 agar plate without glucose (which is shown in the newly added Figure 2 – supplement 1C).

To clarify these two effects in the manuscript, we have revised the relevant section of the control experiment description (lines 163-172):

“To test this, we starved the colonies by transferring the filter membrane carrying the colonies to an M9 agar plate lacking glucose, which strongly decreases the colony capacity to consume oxygen. We observed that in this case, mRuby2 proteins that are located in the formerly dark anoxic region of the colony became fluorescent (Figure 2—figure supplement 1B,C,D). The oxygen in the fresh agar plate is not able to cause the entire colony to become fluorescent without the reduced oxygen consumption in the colony caused by the lack of glucose. The finding that the entire colony becomes fluorescent after the transfer is consistent with the interpretation that in the absence of glucose, cells consume less oxygen so that molecular oxygen can penetrate into the colony to enable chromophore maturation of mRuby2 in the formerly anoxic region (Figure 2—figure supplement 1B,C,D).”

We have also corrected the typo mentioned by the reviewer.

3. In terms of why the mutant cells are dying (line 207), the authors suggest that it is due to the accumulation of alanine, which they can recapitulate through live/dead staining in liquid culture. It could be fascinating to track cells at the single-cell level – do the cells lyse? (if so, this could impact surrounding cells in a colony, by releasing more alanine and thereby increasing the local concentration) Or do the cells simply halt growth and become permeable?

This is an interesting idea. Optical imaging inside the colonies on agar is unfortunately at lower resolution than our imaging of biofilms on glass surfaces in microfluidic chambers, where single-cell resolution is achievable. In microfluidic chambers, we can use oil-immersion objectives which have a very high resolution. The lower imaging resolution in colonies on agar is due to the requirement to either use air immersion objectives or water-immersion objectives that don’t have the required resolution for single-cell imaging in dense E. coli aggregates (not even near the edges).

Therefore, we cannot see whether the cells definitely lyse, although their membrane is compromised, as inferred from the live/dead stain. However, we know from liquid culture experiments (Figure 4D) in which extracellular alanine was added that the optical density did not substantially decrease (an OD decrease would be expected following lysis), even though the live/dead stain showed an increase. This suggests that the majority of dead cells in the colony don’t lyse.

Moreover, when the concentration of extracellular alanine was determined for the different mutant colonies (Figure 4B), we observed that the ΔdadAX strain presented an increased level of extracellular alanine. However, the strain does not display an increased cell death phenotype in colonies (Figure 4A) so that it is unlikely that the increased levels of extracellular alanine originate from lysed or dead cells.

To highlight these points in the manuscript, we made the following changes:

– Lines 248-250:

“The high extracellular alanine levels of the ΔdadAX colonies are unlikely to be caused by permeable or lysed cells, as the ΔdadAX colonies do not display elevated levels of cell death (Figure 4A).”

– Lines 279-283:

“we found that in the presence of high extracellular alanine concentrations, ΔalaEΔdadAX mutants displayed higher cell death levels than the parental strain, which was particularly strong in stationary phase conditions (Figure 4D). The increased cell death of the ΔalaEΔdadAX mutants was not accompanied by a reduction in optical density, indicating these cells did not lyse.”

4. In a colony that is made up of a mixture of wild-type and ∆alaE∆dadAX cells, do the two strains spatially sort based on their differential ability to grow in aerobic regions of the colony? This simple experiment could shed some light on the selective pressures on alanine metabolism.

This comment is related to Essential Revision #3 (“Experiment B”), and we provide a detailed answer to this comment above.

5. Line 229: can it simply be cell death that is providing the exogenous alanine?

Once again, we thank the reviewer for this important comment that we addressed above (in the answer to Major questions/suggestions #3). Additionally, we added a sentence in the manuscript in lines 248-250 to clarify this.

6. Figure 4D: why is there not increased cell death in the parent at high concentrations (5 mM) since the growth rate is lower at this concentration? And more generally, is the reduction in growth rate in the mutant quantitatively explained by the death rate, or do you have to invoke a second mechanism?

It is indeed thought provoking that the parental strain displays a reduction in growth rate but not an increased cell death at 5 mM extracellular alanine (Figure 4C, D) – even though 5 mM extracellular alanine does lead to both a reduction in growth rate and increased cell death for the ΔalaEΔdadAX mutant. The results from the parental strain show that apparently the reduction in growth rate is not caused by cell death. We speculate that a reduced growth rate is measurable before the stress is large enough to cause cell death and that a second mechanism for these two phenomena does not need to be invoked. We note that the parental strain still has the capability to decrease their intracellular alanine levels via the proteins encoded by dadAX and alaE. Our data in Figure 4C, D suggests that these proteins help the parental strain to survive the increased alanine levels, and under some conditions this strain even uses extracellular alanine to grow (Figure 4D).

To clarify our results and interpretation on this topic, we have now included additional explanations in lines 274-281:

“To test this hypothesis, we measured cell viability for the parental strain and mutants in liquid cultures with and without exogenous alanine during midexponential phase and in stationary phase. We found that even though the parental strain displayed a reduced growth rate when exposed to extracellular alanine (Figure 4C), the parental strain did not display increased levels of cell death in such conditions (Figure 4D) – likely due to their ability to secrete and consume alanine, allowing them to control their intracellular levels of alanine. In contrast, we found that in the presence of high extracellular alanine concentrations, ΔalaEΔdadAX mutants displayed higher cell death levels than the parental strain”

7. Line 275: For the bulge morphology, can this be restored in a mixed colony of wild-type and the mutant? Or do you get an intermediate phenotype?

This would be nice, but unfortunately, is not possible to mix 2 (or more) strains and obtain a colony morphology that is directly comparable to colonies that were grown from a single cell. In all of our experiments (except for the mixed-strain experiments that were performed in response to your comment #4, our new Figure 4—figure supplement 4) we grew colonies from a single bacterial cell. To obtained mixed-strain colonies, it is necessary to inoculate the colonies with a small drop of culture suspension (containing the different strains), which necessarily results in a different initial inoculation condition. The resulting colonies in mixed-strain experiments are wider and flatter compared with colonies grown from a single bacterium. Therefore, the experiment proposed by the reviewer would unfortunately not be interpretable.

To clarify the difference between colonies grown from a mixture of strains and colonies grown from a single bacterium, we included an explanatory sentence in lines 298-303:

“To test if this is the case, we generated pairwise mixtures of different strains and inoculated these mixtures onto a membrane filter placed on M9 agar. It is important to note that this inoculation procedure using a liquid drop (leading to colonies that were inoculated by hundreds of cells) creates different colony morphologies compared to colonies grown from a single bacterium (which was the growth condition for all other experiments with colonies in this article).”

8. How is the spatial patterning that they see affected by the ability of cells to produce matrix?

Although matrix genes are expressed (mentioned in lines 110-111), we speculate that during the first 72 h of colony growth (which is the time window we study in this article), and for colonies grown from a single bacterial cells at 37°C, the matrix does not yet have a major influence on the colony morphology. The pyramid-like colony morphology we observed for the ΔalaEΔdadAX mutant resembles the simulations from Warren et al., 2019 (Terence Hwa´s lab), in which colony growth was simulated without the presence of an extracellular matrix. We also note that the primary matrix component responsible for wrinkling of E. coli colonies (curli amyloid fibers) are not strongly expressed at 37°C (mentioned initially by Olsén et al., 1989, and corroborated by several groups).

Studies by Regine Hengge et al., have revealed that for the same strain we use, but cultured at lower temperatures (which induces stronger production of curli amyloid fibers), and inoculated from a drop of culture suspension, the matrix does have a very large effect on colony morphology after longer incubation times.

9. Their model seems to predict what you would see in a more two-dimensional text, when colonies are sandwiched between a cover glass. This could be a neat means to further investigate the significance of alanine export for growth rate of the colony.

In fact, we think that our experiments show that the three-dimensionality of the colonies is important for the alanine cross-feeding, because we need the oxygen-gradient and the opposing glucose and ammonium gradients (only the anoxic glucose- and ammonium-rich cells secrete alanine). We now explicitly mention this in the Discussion section (in lines 400-403).

To replicate such a spatially organized alanine metabolism in a two-dimensional microfluidic system, we predict that it would require a microfluidic chip that produces opposing gradients in oxygen and glucose and ammonium.

10. What about the presence of another species that consumes alanine, will it colocalize preferentially at the aerobic region?

This is an interesting idea and we agree with the reviewer’s prediction – for species that can only consume alanine in aerobic conditions (which is true for E. coli, Figure 3D). Such a mixed-species experiment would require detailed characterization of the other species’ preference for alanine over glucose in oxic and anoxic conditions, to interpret results from mixed-species colony growth experiments. Although we agree that this would be an interesting direction to dissect interactions in a simple multi-species community, our opinion is that such an experiment would go beyond the scope of the current study. We also note that the first author of this study has departed from the lab now, which means that such an experiment would not be possible within a reasonable time frame.

Reviewer #3 (Recommendations for the authors):

I recommend the authors to revisit the idea of linking oxic/anoxic regions with alanine producers/consumers. Maybe is true but it needs stronger evidence-support because is different from what is described in liquid cultures. In the light of the data presented, I think is better idea to link alanine metabolism to glucose availability; it makes a stronger case,

1) The authors equate the aerobic or anaerobic areas of the biofilm with respiring (fast-growing) or fermenting (slow-growing) cells, respectively. Is this already known? I am confused because, in liquid cultures, cells use fermentation to grow when carbohydrates are abundant and rely on respiration when the concentration of carbohydrates decreases. Hence, the regions with fast cell growth should show fermentative growth (alanine production) whereas the regions with slow growth undergo respiration and consume alanine as a non-preferred catabolite. Notice that these two biofilm areas are equally exposed to oxygen. This does not really fit with the model in figure 6 in which fast growing cells respire at high carbohydrate concentration. I can see a correlation between alanine metabolism and glucose abundance but the connection to oxygen levels is not clear to me.

This is a valuable comment. In our initial submission the description of the metabolic state of the oxic region of the base of the colony (which has high glucose levels) was inaccurate – it is certainly possible that the cells in this region ferment through overflow metabolism. We have therefore corrected our description of this region in Figure 6 and in the manuscript main text. This comment is related to Essential Revision #1 above, where we provide a detailed answer including the specific changes we made to the manuscript in response to this comment.

Regarding the reviewer’s comment about alanine secretion and glucose availability: In liquid cultures we only detected alanine secretion in anoxic conditions (Figure 3A). The oxic, fast-growing liquid culture conditions did not result in measurable extracellular alanine levels in our conditions. These results are consistent with the interpretation that only anoxic fermenting cells secrete alanine. However, from our current data we cannot conclude whether or not cells in our fast-growing liquid culture conditions performed overflow metabolism, because our metabolite measurements did not include acetate for technical reasons. In response to this comment, we carefully revised the paragraph in which Figure 3A is described (lines 205213):

“The spatial transcriptomes suggest that alanine is primarily secreted in the anoxic region of the biofilm. To test this, we explored under which combination of carbon/nitrogen/oxygen availability E. coli secretes alanine in shaking liquid conditions. Mass spectrometry measurements from culture supernatants clearly showed that alanine is only secreted under anoxic conditions with glucose and ammonium (Figure 3A), which is an environment that corresponds to the anoxic base of the colony, where cells are in contact with the glucose- and ammonium-rich M9 agar. Oxic conditions with abundant glucose and ammonium did not result in significant alanine secretion. This finding suggests that alanine is secreted in the anoxic base of the colony, which is consistent with the spatial transcriptome results.”

2) I am not convinced that maturation of the fluorescent protein mRuby2 is indicative of respiring bacteria. I think it is a very elegant way to identify the aerobic areas of the biofilm but again, bacteria can ferment even in the presence of oxygen, if the concentration of carbohydrates is high enough (i.e. crabtree effect in yeast, overflow metabolism in bacteria or Warburg effect in cancer cells). The subpopulation of fluorescence cells likely combine fermenting (closer edge to the agar) and respiring (middle-height edge of the colony) bacteria. Moreover, the authors removed glucose from the medium to alter the metabolic processes that consume oxygen (line 151) but this will severely impact fermentative growth as well.

We are grateful that the reviewer pointed out this inaccuracy in our terminology. We agree that fluorescence of mRuby2 is not indicative of respiration. We used mRuby2 fluorescence levels as an indication of oxic regions. To correct this inaccuracy in our terminology, we have carefully gone through every mentioning of the words “respiration”, “fermentation”, “aerobic”, and “anaerobic” and, where appropriate, rephrased the relevant sentences based on the terms “oxic” and “anoxic” throughout the manuscript.

3) I do not understand how these extracellular alanine concentrations are toxic to the cells. The paper cited is about intracellular alanine (Katsube et al., 2019). Is there anything known about how extracellular alanine levels are toxic to the cells?

The experiments in which we varied the extracellular alanine level and observed growth inhibition (Figure 4C) show that the extracellular alanine concentration has a large effect. In particular, cells that were unable to export alanine (ΔalaE) were more affected by extracellular alanine compared to the parental strain, but the double mutant (ΔdadAXΔalaE) which has an impaired ability to secrete or degrade alanine, was most affected. These results support the idea that the extracellular alanine levels can affect the intracellular alanine levels.

As far as we are aware, the molecular mechanism for how alanine can be inhibitory to the cells is currently not described in the literature. Perhaps alanine toxicity is linked to misloading of tRNAs or the modification of the direction of some enzymatic reactions due to an excess of alanine.

In response to this comment, we added the following clarifications in the manuscript (lines 258-262):

“For cells that lack both the major alanine exporter AlaE and the major alanine degradation pathway via DadA and DadX, we hypothesized that the presence of extracellular alanine might lead to an accumulation of intracellular alanine to toxic levels. It has previously been shown that excess levels of intracellular alanine can inhibit growth (Katsube, Ando, and Yoneyama, 2019), yet the molecular mechanism underlying this process is still unclear.

Line 114: "Lactate, formate and succinate biosynthesis, however, displayed interesting dynamics during colony growth". This sentence has no meaning as it does not describe the data. In what way are these dynamics interesting?

We agree that this sentence lacked meaning. We have now modified the sentence to (lines 120-122):

“However, transcripts of the lactate, formate, and succinate biosynthesis pathways displayed differential regulation during colony growth (Figure 1—figure supplement 4A).”

Line 125: "All amino acid abundances decreased during colony growth, except for alanine, which remained relatively constant with a peak abundance at 32 h". Several aminoacids derive from alanine metabolism. I wonder how the level of these aminoacids did not remain closer to that of alanine

We thank the reviewer for this interesting comment. We are not completely sure why is this the case. We offer two speculations:

– Speculation 1: Figure 1E reports measurements of the total amino acid pool in the colony (the sum of intracellular and extracellular levels of each amino acid) – it is possible that only alanine is secreted and therefore the measured alanine levels primarily reflect the extracellular levels, whereas the other amino acids remain intracellular and they decrease during colony growth because cells adapt to an increasingly nutrient-poor environment.

– Speculation 2: Several amino acids can be made from pyruvate. These reactions generally require multiple enzymes, except for alanine, which can be converted to and from pyruvate in a simple enzymatic reaction. Furthermore, several amino acids can be converted into alanine. The close link of alanine levels to central metabolism (and in particular to pyruvate levels) combined with its secretion during anaerobic fermentation could be the origin of the difference between the alanine profile and the profile of other amino acids.

Because these arguments are quite speculative, we did not include them in the manuscript.

Line 129: I do not understand how the transcriptomic or metabolomic data invited the authors to explore whether alanine metabolism is spatially heterogeneous during biofilm growth.

We thank the reviewer for highlighting that there was a logical gap at this point in the manuscript. We have now added an additional sentence in lines 136-139 to bridge the logical gap in the argument, as follows:

“Biofilms are expected to be metabolically heterogeneous so that we hypothesized that alanine metabolism could be spatially organized inside biofilms. To test this hypothesis, we developed a method to measure transcriptomes with spatial resolution in the colonies.”

Lines 217-260: these two paragraphs describing the phenotypes of different mutants in alanine metabolism are hard to digest. I read them several times and I do not think I understood.

We carefully read these paragraphs again, and discussed them with colleagues who are not co-authors of the manuscript and detected a logical break in the mentioning of the -alanine exporter, which we have now corrected by rearranging the sentences and addition additional text. We have also added a summary sentence at the end of the first paragraph, to improve the readability. We also made numerous smaller edits in these paragraphs aimed at improving the readability.

https://doi.org/10.7554/eLife.70794.sa2

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Francisco Díaz-Pascual
  2. Martin Lempp
  3. Kazuki Nosho
  4. Hannah Jeckel
  5. Jeanyoung K Jo
  6. Konstantin Neuhaus
  7. Raimo Hartmann
  8. Eric Jelli
  9. Mads Frederik Hansen
  10. Alexa Price-Whelan
  11. Lars EP Dietrich
  12. Hannes Link
  13. Knut Drescher
(2021)
Spatial alanine metabolism determines local growth dynamics of Escherichia coli colonies
eLife 10:e70794.
https://doi.org/10.7554/eLife.70794

Share this article

https://doi.org/10.7554/eLife.70794