Introduction

Nutrient availability constrains the rate of biological production and the structure of ecosystem communities on a global scale1,2. As essential nutrients required by all living organisms, iron (Fe) and phosphorus (P) participate in a series of metabolic processes, and their chemical roles are deeply interconnected3,4,5. While the critical role of Fe and P in controlling primary productivity has long been recognized6,7,8, recent studies demonstrate that limitation by Fe and P could occur simultaneously9,10. Such Fe/P co-limitation has been observed in large areas of the low-latitude oceans as well as freshwater ecosystems9,10,11,12. It might also be prevalent in terrestrial environments due to the low bioavailability of both elements in alkaline and calcareous soils, which represent one-third of the world’s cultivated lands13,14. However, despite the apparent issue of Fe/P co-limitation, we know very little about the adaptive strategies employed by the organisms living in co-limited environments, especially at the level of gene regulation.

Recent studies suggest that marine cyanobacteria experiencing Fe/P co-limitation may have established specific responses, as several co-limited diazotrophic cyanobacteria can maintain faster rates of growth than when limited by either nutrient alone15,16,17. A general mechanism that facilitates this enhanced fitness could be cell size reduction, which is observed in co-limited Crocosphaera and Trichodesmium16,17. Decreasing cell size under Fe/P co-limited conditions enables these large-sized cyanobacteria to alleviate their high demand on cellular elements and optimize their surface area-to-volume ratio for nutrient uptake18,19. However, this strategy may not be appropriate for small-sized cyanobacteria. It has been demonstrated that phytoplankton achieve the maximal growth rate at intermediate cell sizes20,21. For cyanobacteria with a radius smaller than 0.9 µm, further compression of their cell size will result in an overallocation of the resources to non-scalable components, e.g., genome and membranes, which could decrease resource availability for other essential activities22. Their growth rate is thus reduced. Moreover, small cells are more vulnerable to grazing19. Such reduced growth rates and increased grazing mortality may result in a severe decline of small-sized cyanobacterial communities.

It should be noted that small-sized cyanobacteria, including Prochlorococcus and Synechococcus, are the most abundant and dominant primary producers worldwide23. Their ability to respond to Fe/P co-limitation could have significant consequences for carbon sequestration and biogeochemical cycling. Interesting questions include whether cyanobacteria from the intermediate or small size range also exhibit increased fitness under Fe/P co-limitation, and if so, by what mechanism.

Recent study in land plants reveals that P deficiency prevents the accumulation of Fe deficiency-induced reactive oxygen species (ROS) by inducing ascorbate biosynthesis24. However, the in vivo ascorbate concentration of cyanobacteria is 250 times lower than that in chloroplasts25, and the gene encoding ascorbate peroxidase is absent from cyanobacteria26, suggesting a limited role of ascorbate in cyanobacterial ROS detoxification. Whether P deficiency also affects ROS cycling in Fe-limited cyanobacteria remains unanswered. Moreover, although the expression of cyanobacterial Fe uptake genes is typically regulated by the Fur repressor in a cytoplasmic Fe level-dependent manner27, the role of other environmental factors, such as P-limitation, in the regulation of Fe uptake genes needs to be determined.

Here, we investigated the adaptive strategy employed by Fe/P co-limited cyanobacteria in a genetically operable intermediate-sized strain, Synechocystis sp. PCC 6803 (hereafter Synechocystis 6803). Our results indicate that P deficiency increases the growth of Fe-limited cyanobacteria through a PhoB-mediated regulatory network. The presence of a direct regulation between Fe and P homeostasis via PhoB could enable cyanobacteria to allocate better their metabolic processes under nutrient-fluctuating environments where deficiency or enrichment of these two elements frequently occurs simultaneously.

Results

P deficiency alleviates the growth defect of Fe-limited cyanobacteria

The physiological response of Synechocystis 6803 to Fe/P co-limitation was examined under different availabilities of Fe and P. As expected, Fe starvation alone (−Fe+P) strongly impeded the growth of cyanobacteria (Fig. 1a–d). However, this effect was clearly alleviated by P deficiency. Fe/P co-limited Synechocystis grew 15% faster than the cells experiencing Fe starvation only (Fig. 1d). After culture for 4 days, more biomass accumulated under −Fe−P than −Fe+P conditions (Fig. 1c). It should be noted that both Fe limitation (isiA) and P limitation (pstS, pstS2) biomarker genes were strongly induced in the Fe/P co-limited cells (−Fe−P, Supplementary Fig. 1). The blue shift of the red absorption peak of chlorophyll observed in room temperature absorption spectra of co-limited culture was also consistent with the induction of IsiA (Fig. 1e).

Fig. 1: Phosphorus starvation enhances the growth of Fe-limited cyanobacteria.
figure 1

a The growth curve of Synechocystis under different iron and phosphorus availabilities. Values are mean ± SD of three independent biological replicates. Asterisks indicate a significant difference between −Fe+P and −Fe−P using the two-sided Student’s t-test. *P < 0.05, **P < 0.01, with exact P-values provided as source data. bc Image of the culture and biomass of Synechocystis after 4 days of growth. The biomass shown in (c) was the pellets obtained from 100 mL of cells after centrifugation. The experiment was repeated with similar results three times. d Growth rates of Synechocystis grown under +Fe+P, −Fe+P, and −Fe−P conditions. Values are mean ± SD of three independent biological replicates. e Room temperature absorption spectra of Synechocystis grown under +Fe+P, −Fe+P, and −Fe−P conditions for 4 days. Data shown are from representative sample of three independent biological replicates. f Changes in Fv/Fm values of Synechocystis after 4 days of growth under +Fe+P, −Fe+P, and −Fe−P conditions. Values are mean ± SD of three independent biological replicates. g The violin plot showing the distribution of the cell diameter data points, while the embedded line and triangle in the boxplot mark the mean and median cell diameter, respectively. The upper and lower edges of the box indicate the first and third quartiles, and the whiskers extend to 1.5 × the interquartile range beyond the first and third quartiles. Data shown are measured from three independent biological replicates with the total number of at least 150 cells. Letters above bars indicate statistical significance (P < 0.05) calculated by one-way ANOVA across all treatments. For d and f line segments and corresponding P-values represent statistical significance calculated by two-sided Student’s t-test. Source data are provided as a Source Data file.

Photosynthetic performance of cells was significantly higher in the −Fe−P than in −Fe+P treatment (Fig. 1f). However, this enhanced Fv/Fm was not caused by an increase in content of the two photosystems. Immunoblotting with specific antibodies revealed that thylakoid membranes of cells in the −Fe−P treatment contained a similar amount of PSI complexes as cells in the −Fe+P treatment, whereas the protein level of the PSII complexes was lower in the −Fe−P treated samples (Supplementary Fig. 2). Overall, these results consistently showed that P deficiency alleviated the growth defect of Fe-limited Synechocystis. Both microscopy (Fig. 1g) and FACS analyses (Supplementary Fig. 3) indicated no significant variation in cell size under any of the experimental conditions, implying that the underlying mechanism was cell-size independent.

The expression of sod is up-regulated under Fe/P co-limited conditions

Previous work showed that massive accumulation of ROS under Fe-limited conditions could have a severe effect on photosynthetic activity of cyanobacteria28. We thus quantified the total ROS levels and found that the ROS content of −Fe−P cells was reduced by 75% compared with −Fe+P cells (Fig. 2a), indicating enhanced ROS scavenging activities were induced by low P under Fe deficiency. qRT-PCR analysis showed that several genes involved in ROS scavenging were more highly expressed under −Fe−P than −Fe+P conditions (Supplementary Fig. 4). Among the differentially expressed genes, the iron-containing superoxide dismutase (SOD) coding gene, sodB, was the most up-regulated. Further analysis revealed that the expression of sodB was significantly up-regulated in the +Fe−P and −Fe−P samples (Fig. 2b), indicating P deficiency enhanced sodB expression. This pattern was further supported by SOD assays using in-gel activity staining (Fig. 2c, d). SOD activity of Synechocystis was sharply reduced by Fe starvation and increased under P deficiency: SOD activity was 39% higher in −Fe−P than in −Fe+P grown cells (Fig. 2d). The enhanced SOD activity may account for the decreased ROS accumulation in Fe/P co-limited Synechocystis (Fig. 2a).

Fig. 2: sodB responds positively to phosphorus starvation.
figure 2

a The intracellular ROS accumulation of Synechocystis after 4 days of growth under different iron and phosphorus availabilities. Values are mean ± SD of three independent biological replicates, and the results were normalized to the ROS level of +Fe+P treatment. b Relative mRNA abundance of sodB in Synechocystis after 4 days of growth under +Fe+P, +Fe−P, −Fe+P, and −Fe−P conditions. Data shown are mean ± SD of three independent biological replicates, and the results were normalized to the transcript levels measured under +Fe+P conditions. c SOD activity of Synechocystis determined by in-gel activity staining. Samples were loaded on an equal total protein basis. Similar results were obtained from three independent biological replicates. d The SOD activity detected from (c) was quantified with ImageJ software. Data shown are mean ± SD of three independent biological replicates and values are given relative to SOD activities of +Fe+P samples. Letters above bars indicate statistical significance (P < 0.05) calculated by one-way ANOVA across all treatments. Line segments and corresponding P-values represent statistical significance calculated by two-sided Student’s t-test. Source data are provided as a Source Data file.

Phosphorus availability modulates sod expression in the world’s oceans

The laboratory experiments demonstrated that P deficiency induced sodB expression under Fe sufficient and deficient conditions, so we examined if sod genes and transcripts of marine cyanobacteria also varied with nutrient availability. SOD exists in four isoforms, each with different metal cofactors29,30. Only sodB utilizes Fe as its cofactor, whereas other sods use either manganese (sodA), nickel (sodN), or a combination of copper and zinc (sodC) as co-factors. The distribution pattern of sods in the global marine TARA metagenome datasets31 showed that sods are widely present in cyanobacteria that thrive under different levels of phosphate (Pi) bioavailability (Fig. 3a). Notably, Prochlorococcus and Synechococcus represent the vast majority of the hits of the sods, and the large reduction in sods abundance in relatively high-Pi regions (>1 µM) is consistent with the low abundance of both genera in polar oceans23.

Fig. 3: Distribution of sods amongst marine ecosystems.
figure 3

a Whisker box plots showing gene abundance of different sod isoforms of cyanobacteria in metagenomes (orange, nmg = 139) and metatranscriptomes (dark cyan, nmt = 162) generated from TARA oceans global marine survey. Data are presented by Pi (<0.1 µM, nmg = 39, nmt = 40; 0.1 ~ 0.5 µM, nmg = 49, nmt = 60; 0.5 ~ 1.0 µM, nmg = 26, nmt = 34; >1.0 µM, nmg = 25, nmt = 28) concentrations. The abundance of each sod was calculated by dividing the sum of the abundances of their homologs by the sum of total gene abundance from all reads in the sample. The whiskers extend to 1.5 × the interquartile range beyond the first and third quartiles (boxes). Exclusive median (line), average (triangle), and atypical values (circles) are also indicated. Different letters above the bars represent statistical significance (P < 0.05) calculated by Kruskal-Wallis between treatments. b Plots of the relative sods abundance in metatranscriptomes vs. the relative level of pstS transcripts. The data were plotted on a logarithmic scale. The red lines indicate linear regressions of the data points, and the significance of each regression is shown in each panel. Source data are provided as a Source Data file.

Metatranscriptomic analysis revealed that the expression of different sod isoforms was enriched in low-Pi regions (<0.5 µM, Fig. 3a and Supplementary Fig. 5). Considering the complexity of marine phosphorus cycle, we further examined the relative levels of sods transcripts versus that of the P limitation biomarker, pstS10,17. A positive relationship between their abundances was observed (Fig. 3b). These data consistently show that sods expression was enhanced by P deficiency in the ocean and could be a common response of cyanobacteria.

Phosphorus deficiency enhances O2 resistance of Fe-limited cyanobacteria

To explore the influence of sod induction on the growth of Fe-limited cyanobacteria, an O2-tolerance experiment was performed in the presence and absence of methyl viologen (MV), respectively. MV efficiently accepts electrons from PSI and reduces oxygen to O2, allowing us to assess the resistance of cyanobacteria to O232. As shown in Fig. 4, Fe-limited cyanobacteria were highly sensitive to O2 stress. The photosynthetic electron transport rate (ETR) of −Fe+P samples was significantly decreased in the presence of the O2 inducer ( +MV) compared to the treatment without MV (−MV, Fig. 4a). After incubation with MV for 8 days, the ETR of −Fe+P samples was nearly undetectable. In contrast, when P deficiency co-occurred with −Fe, the resistance of Fe-limited cells (−Fe−P) to O2 was clearly enhanced (Fig. 4a). Similar results were also observed at the single-cell level (Fig. 4b and Supplementary Fig. 6). At the end of the treatment ( + MV, 10th day), up to 97% of −Fe+P cells lost chlorophyll auto-fluorescence and became chlorotic (low-fl). However, only 20% of the cells were chlorotic in the −Fe−P sample (Fig. 4b and Supplementary Fig. 6). These results demonstrated that P deficiency can strongly enhance the O2 tolerance of Fe-limited cyanobacteria.

Fig. 4: Phosphorus starvation enhances the resistance of Fe-limited cyanobacteria to O2 stress.
figure 4

a The photosynthetic electron transport rate of Synechocystis grown in the presence (+MV) and absence (−MV) of 0.3 µM methyl viologen measured by PAM fluorometry. Values are mean ± SD of three independent biological replicates. Asterisks indicate a significant difference between two treatments using the two-sided Student’s t-test. *P < 0.05; **P < 0.01. b Representative gating of low auto-fluorescence cells. The change of auto-fluorescence intensity of Synechocystis cells was analyzed by flow cytometry with an excitation wavelength of 488 nm and an emission wavelength of 700 ± 54 nm. Data shown are from representative sample of three independent biological replicates. Low-fl, low auto-fluorescence; FSC, forward scatter. Source data are provided as a Source Data file.

The up-regulation of sodB is mediated by the transcription factor PhoB

To decode the signaling pathways that induce sodB expression under Fe/P co-limitation, the transcription factor library of Synechocystis was screened using a yeast one-hybrid (Y1H) system with the sodB promoter as a bait. Interestingly, an OmpR family transcription factor, PhoB, was identified as a putative regulator (Fig. 5a). Bioinformatic analysis indicated a putative PhoB binding site presents in the promoter region of sodB (Supplementary Fig. 7a). The interaction between PhoB and the sodB promoter was further verified by an electrophoretic mobility shift assay (EMSA, Fig. 5b). PhoB is a transcription activator known to control the expression of phosphorus assimilating genes under low ambient Pi concentrations33,34,35, however to our knowledge, its function in activating SOD gene expression has not been established previously.

Fig. 5: PhoB regulates the expression of sodB.
figure 5

a Verification of the interaction between the cis-acting element pro-sodB and the transcription factor PhoB by Y1H assay. b Interaction analysis between pro-sodB and PhoB by EMSA. The concentration of PhoB added into each mixture is shown. Unlabeled DNA (SC) and poly (dI-dC) (NSC) were added to examine the specificity of the binding reactions. Similar results were obtained from three independent experiments. c The relative transcript levels of sodB in the WT strain and phoB mutant after 4 days of growth under different Fe and P availabilities. Values are mean ± SD of three independent biological replicates, and the results were normalized to the transcript levels measured under +Fe+P conditions. d Intracellular ROS content of WT and the phoB mutant after 4 days of growth under +Fe+P, +Fe−P, −Fe+P, and −Fe−P conditions. Data shown are mean ± SD of three independent biological replicates, and the results were normalized to the ROS level of +Fe+P treatment. e Representative images of each strain grown in the absence and presence of 0.3 µM MV. The experiment was repeated with similar results three times. For c and d letters above bars indicate statistical significance (P < 0.05) calculated by one-way ANOVA across all treatments. Source data are provided as a Source Data file.

To assess the regulatory role of PhoB in sodB gene expression, the phoB gene was knocked out by insertional inactivation (Supplementary Fig. 8a). As shown in Fig. 5c, the induction of sodB was significantly reduced in the phoB mutant. The transcript level of sodB increased 5.8-fold in the wild-type (WT) strain under −Fe−P conditions, while only a 2.8-fold increase was observed in the phoB mutant. The residual sodB induction in the phoB mutant could be ascribed to the transcription factor RpaB, a known regulator in oxidative stress response36. In fact, we identified that RpaB interacted with the sodB promoter in our Y1H library screening assay (Supplementary Fig. 9). Further analysis revealed that the intracellular ROS content in co-limited cells was only 26% of that under −Fe+P in the WT, while in the phoB mutant, this value was 80% (Fig. 5d). The decrease in sodB induction significantly reduced MV tolerance of the co-limited cyanobacteria (Fig. 5e). The O2 tolerance assay showed that, when phoB was knocked out, P deficiency no longer enhanced the O2 resistance of Fe-limited cyanobacteria, and the −Fe−P cells showed a response resembling the −Fe+P cells (Fig. 5e and Supplementary Fig. 10). We overexpressed sodB in Synechocystis (strain SodB-OE) to explore the role of SodB in ROS homeostasis. The SodB-OE strain showed a strong reduction in ROS content under Fe-limited conditions (Supplementary Fig. 11b), but had a significantly reduced growth rate (Supplementary Fig. 11c–d). Considering that SodB is Fe-dependent, high expression of this metalloenzyme likely increased the demand for cellular Fe, resulting in more severe Fe deficiency and slower growth. Altogether, these results consistently suggest that PhoB mediated sodB expression is essential for the maintenance of ROS homeostasis under −Fe−P conditions.

PhoB regulates the expression of the Fe-selective porin

When screening the potential transcription factors for our previously identified iron-selective porin37, slr1908, we found that the expression of this Fe uptake gene was also regulated by PhoB (Fig. 6). The specific interaction between PhoB and the slr1908 promoter was further verified by both Y1H (Fig. 6a) and EMSA assays (Fig. 6b). Gene expression analysis revealed that, in the WT, the transcript level of slr1908 was strongly induced by P deficiency, being up-regulated by 7.5- and 4.6-fold under +Fe−P and −Fe−P conditions, respectively (Fig. 6c). This P deficiency-induced Slr1908 expression was also confirmed at the protein level (Supplementary Fig. 12). However, the induced expression of slr1908 was substantially reduced in the phoB mutant (Fig. 6c).

Fig. 6: PhoB regulates the expression of slr1908.
figure 6

a Verification of the interaction between the cis-acting element pro-slr1908 and the transcription factor PhoB by Y1H assay. b Interaction analysis between pro-slr1908 and PhoB by EMSA. The concentration of PhoB added into each mixture is shown. Unlabeled DNA (SC) and poly (dI-dC) (NSC) were added to examine the specificity of the binding reactions. Similar results were obtained from three independent experiments. c qRT-PCR analysis of slr1908 in WT strains and phoB mutants after 4 days of growth under different Fe and P availabilities. Values are mean ± SD of three independent biological replicates, and the results were normalized to the transcript levels measured under +Fe+P conditions. d Growth rates of the WT and slr1908KD strains grown under −Fe+P and −Fe−P conditions. Values are mean ± SD of three independent biological replicates. Line segments and corresponding P-values represent statistical significance calculated by two-sided Student’s t-test. For c and d letters above bars indicate statistical significance (P < 0.05) calculated by one-way ANOVA across all treatments. Source data are provided as a Source Data file.

Because the complete knockout mutant of slr1908 is not available in our Synechocystis sub-strains37, the physiological role of slr1908 under Fe/P co-limitation was first assessed in a knockdown (KD) mutant. Compared to the WT, growth of the slr1908KD strain was significantly reduced under −Fe+P conditions (Fig. 6d and Supplementary Fig. 13a), consistent with the gene’s essential role in Fe uptake37. Surprisingly, the growth of slr1908KD strain was not enhanced under Fe/P co-limitation compared to the Fe-limited conditions. The growth rate and cell density of the co-limited slr1908KD strain was even lower than that under −Fe+P conditions (Fig. 6d and Supplementary Fig. 13a). Moreover, overexpression of slr1908 significantly enhanced the growth rate of Fe-limited cyanobacteria (Supplementary Fig. 11d), suggesting a critical role of slr1908 induction in acclimation to Fe-limitation. Given the important role of PhoB in low-P response33, our results demonstrate that PhoB also facilitates Fe uptake and plays a role in cross-talk between Fe and P homeostasis.

PhoB also regulates genes involved in chemotaxis and exotoxin secretion

When phoB was inactivated, the positive effect of P deficiency on Fe-limited growth was greatly diminished (Fig. 7a and Supplementary Fig. 13b), confirming the importance of PhoB-mediated transcriptional regulation in the Fe/P co-limitation response. A phylogenetic footprinting technique was applied to the promoter regions of experimentally verified PhoB target genes to identify the PhoB-mediated genome-wide gene regulation. A conserved motif containing three tandem direct repeats was identified (Supplementary Fig. 7b). This motif was consistent with the previously reported pho box consensus sequence38, and the core sequence of the repeats (TTAA) was highly conserved (Supplementary Fig. 7c). EMSA assays demonstrated that mutations in any of these three TTAA sequences remarkably reduced or abolished the DNA-binding ability of PhoB (Supplementary Fig. 7d), indicating that the three tandem repeats are vital for recognition by PhoB. Based on the sequence of the core motif, 211 promoters were identified to contain a potential PhoB binding site. Of these, 92 potential target genes were up-regulated by P deficiency (FC ≥ 1.5, P-value ≤ 0.05) under either Fe sufficient or deficient conditions, consistent with the expression model of the PhoB targets (Supplementary Data 1). The results of this computational analysis were further verified by chromatin immunoprecipitation sequencing (ChIP-seq), and 60 of these 92 genes were enriched in our ChIP-seq results (Supplementary Data 1 and Supplementary Fig. 14).

Fig. 7: PhoB regulates chemotaxis and exotoxin related genes.
figure 7

a Growth rates of the WT and phoB mutants grown under −Fe+P and −Fe−P conditions. Values are mean ± SD of three independent biological replicates. Letters above bars indicate statistical significance (P < 0.05) calculated by one-way ANOVA across all treatments. Line segments and corresponding P-values represent statistical significance calculated by two-sided Student’s t-test. b The schematic representation of the organization of sll1552 and sll1291 gene clusters. The location of the putative PhoB binding sites were labeled by red. c Global expression analysis of genes in response to −Fe−P relative to −Fe+P. Differential expression testing was carried out using DEseq2 package, and two-tailed P-values were adjusted for multiple testing using the BH method. Broken lines indicate the adjusted P-value threshold of 0.05 and FC thresholds of 1 and −1. Functional groups are color coded and genes without significant differences in expression are shown in light gray. Detailed numeric values are presented in Supplementary Data 2. d and e Interaction analysis between pro-sll1552, pro-sll1291 and PhoB by EMSA. The concentration of PhoB added into each mixture is shown. Unlabeled DNA (SC) and poly (dI-dC) (NSC) were added to examine the specificity of the binding reactions. Similar results were obtained from three independent experiments. Source data are provided as a Source Data file.

In addition to its well-recognized role in controlling phosphate assimilation, newly identified PhoB targets included genes related to stress response, photosynthesis and tetrapyrrole metabolism (Supplementary Data 1). Amongst them was sll1552, a gene located upstream of the type I secretion system coding gene slr1651 in the reverse direction, which may form an exotoxin biosynthesis cluster with the downstream acyltransferase gene sll0720 and RTX (repeats in toxin) protein gene sll0721 (Fig. 7b). All genes in this cluster were strongly induced by P deficiency as shown in our transcriptomic data (Fig. 7c) and qRT-PCR analysis (Supplementary Fig. 15a–c). Their induction in the phoB mutant was significantly reduced, consistent with the expression pattern of the Pho regulon33. The interaction between PhoB and their promoters was further verified by EMSA assay (Fig. 7d). RTX proteins can form pores in cytoplasmic membranes, leading to uncontrolled efflux of ions or nutrients from the host cells39. Previous research in Actinobacillus revealed that the production of RTX toxin is specifically induced by Fe deficiency40, indicating a potential role of this family in low Fe response. Moreover, several genes involved in type IV pilus biogenesis and chemotaxis were also identified as putative targets of PhoB (Supplementary Data 1). Regulation of the sll1291 cluster by PhoB was further supported by our experimental results (Fig. 7e and Supplementary Fig. 15d–f). The up-regulation of genes involved in chemotaxis may provide a considerable competitive advantage to Fe-limited cyanobacteria to forage nutrient hotspots within patchy environments.

Discussion

Recent studies have shown that cyanobacteria experiencing Fe/P co-limitation exhibit faster growth than those limited by a single nutrient15,16,17, but the regulatory mechanism responsible for such a response is poorly understood. Here, we present multiple lines of evidence that collectively support the critical role of a PhoB-mediated regulatory network in Fe/P co-limitation acclimation. PhoB is a conserved transcription factor of a two-component system with the sensor kinase PhoR. Under P-limited conditions, PhoR autophosphorylation leads to the phosphorylation of PhoB, triggering PhoB dimerization and DNA binding activity35. Although PhoB is typically considered to respond to phosphorus deficiency33, our results suggest that it may enhance the fitness of Fe/P co-limited cyanobacteria by maintaining intracellular ROS homeostasis and facilitating Fe uptake.

Under P deficiency, the NADPH/NADP+ ratio in photosynthetic organisms increases significantly, severely inhibiting linear electron flow41. Once the electron transport to ferredoxin-NADP+ oxidoreductase is blocked, oxygen may serve as an alternative electron acceptor, running the risk of massive O2 generation28. As the only O2 scavenging enzyme, the up-regulation of SOD is indispensable. This allows cyanobacteria to convert O2 into H2O2 and O2, while the H2O2 can be further quenched by various catalases and peroxidases28, such as KatG (Fig. 7c). In fact, SOD induction in response to P limitation could be a common strategy amongst photosynthetic organisms since a similar phenomenon is widely observed in cyanobacteria42, a marine diatom43, and land plants44. It should be noted that SOD induction could be extremely important for cyanobacteria that grow under Fe-deficient conditions because O2 damage occurs primarily at PSI45. PSI content of cyanobacteria decreases significantly under Fe-deficient conditions, and thus up-regulation of SOD may be necessary for maintaining the activity of the limited amount of PSI.

Expression of sodB and other Fe-demanding genes is typically repressed by a small regulatory RNA IsaR146 when iron is limiting in Synechocystis 6803. Overexpression of sodB significantly reduced the intracellular ROS content of Fe-limited cyanobacteria (Supplementary Fig. 11b), but an increased amount of this Fe-dependent metalloenzyme could result in an additional Fe demand, which could account for the decreased growth rate. In addition to SodB, several other Fe-containing proteins were also found to be induced by P deficiency. For example, ssl2559, a gene encoding a plant-type ferredoxin, was upregulated under P limitation (Supplementary Fig. 16). ssl2559 is located downstream of the sll1291 cluster, and its induction was reduced substantially in the phoB mutant, suggesting that this gene may be a part of the same operon. In contrast, although the expression of katG, an important Fe-dependent catalase-peroxidase gene, was also significantly upregulated under both +Fe−P (FC = 1.77, P < 0.05) and −Fe−P conditions (FC = 1.95, P < 0.05), the putative PhoB binding site was absent from its promoter region, suggesting a PhoB-independent regulation. This hypothesis was further supported by qRT-PCR assay showing that all analyzed PhoB targets were significantly upregulated in the Pho regulon-activated PhoRT412N strain34, whereas the transcription level of katG resembled that of the WT (Supplementary Fig. 17).

P-limitation may increase cellular Fe requirements through multiple pathways. For example, the most widespread alkaline phosphatases among marine microbial communities, PhoD and PhoX, are Fe-dependent3. Nutrient amendment experiments performed in the Fe-poor western North Atlantic Ocean showed that the alkaline phosphatase activity of the community responded positively to Fe additions, implicating a role of Fe in P acquisition47. The phenomenon of increased Fe content under P deficiency, shown here (Supplementary Fig. 18), is widely reported in photosynthetic organisms24,44,48. Thus, regulation of a Fe uptake gene by PhoB is physiologically necessary, as it allows cyanobacteria to meet their increased Fe requirement under P deficiency.

Up-regulation of SOD was also observed in the omics data of co-limited Trichodesmium49. This, in addition to our metatranscriptomic analysis, indicates a widespread positive response of these genes to P deficiency. Indeed, a survey of the promoter regions of different sod isoforms from representative cyanobacteria showed that putative PhoB binding sites are widely present (Supplementary Table 1). A similar observation was also made when analyzing the promoter regions of the orthologues of porin coding genes (Supplementary Table 2). The presence of the putative PhoB binding sites in these species is not only indicative of a direct regulation by PhoB, but also suggests that the PhoB-mediated Fe/P co-limitation acclimation network is conserved within cyanobacteria. Among these species, Prochlorococcus and Synechococcus are globally important primary producers whose cell sizes are close to the estimated minimum threshold18. The presence of a cell-size independent strategy for Fe/P co-limitation acclimation could enable these small-sized cyanobacteria to survive and maintain metabolic activities in oligotrophic oceans.

Interestingly, all the strategies described above likely evolved as adaptations to low-P stress, but are beneficial in dealing with the challenges of Fe-limitation. In fact, Fe and P are deeply interconnected elements. In terrestrial environments, phosphate is naturally associated with ferric oxides, forming insoluble complexes and thus reducing the bioavailability of both nutrients4. The highly episodic aerosol dust deposition in marine ecosystems may also lead to a simultaneous deficiency or enrichment of these two elements9,50,51. At the cellular level, mineral bio-dissolution by natural cyanobacterial colonies could enable them to co-acquire Fe and P5. And the intracellular storage of Fe in cyanobacteria and higher plants is also tightly associated with P52. Previous research in Arabidopsis reveals that the phosphate-relevant transcription factor, AtPHR1, directly regulates Fe homeostasis through interaction with the promoter regions of the Fe storage gene53. Such an interaction was not observed in our Y1H experiment (Supplementary Fig. 19) and ChIP-seq data (Supplementary Data 1), possibly due to subtle differences in the two regulatory systems. However, our study demonstrates that PhoB can specifically bind to the promoter region of a Fe-selective porin (Fig. 6a, b), indicating its critical role in controlling both phosphate and iron homeostasis. Recent research in Synechocystis highlighted the crosstalk between the Fe and P stress responses, and an epistatic FtsH1/3-mediated degradation was demonstrated to regulate iron and phosphate regulatory circuits54. The existence of crosstalk between the Fe and P stress responses may enable cyanobacteria to optimize resource allocation for maximum growth in nutrient-fluctuating environments.

In addition to slr1908, a gene encoding the substrate-binding protein of the Fe-siderophore transport system, sll1202, was also identified as a putative target of PhoB (Supplementary Data 1). It should be noted that Synechocystis 6803 cannot synthesize any siderophores itself; the upregulation of this Fe-siderophore transport gene could enable them to acquire Fe from exogenous siderophores produced by associated bacteria55. Moreover, PhoB was also found to regulate the expression of chemotaxis and exotoxin relevant genes. Although little is known about the structure and mechanism of this RTX toxin, mass spectrometry analysis showed that it represents the most abundant protein in the exoproteome of P-limited cyanobacteria (Supplementary Table 3). The strong induction of this virulence factor and enhanced motility via chemotaxis may provide a competitive advantage to Fe-limited cyanobacteria in the natural environments. Based on our findings, a PhoB-centered Fe/P co-limitation acclimation model is proposed (Fig. 8).

Fig. 8: A model of PhoB-mediated Fe/P co-limitation acclimation network.
figure 8

The cellular components potentially regulated by PhoB are shown in color. Transport pathways and reactions up-regulated under Fe/P co-limitation conditions are shown in bold arrows. The figure was created with BioRender.com, and released under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.

It has been reported that the starvation response in Escherichia coli is activated when the extracellular Pi concentration is ~4 μM, which is higher than that in the open ocean56. According to this threshold, the response of cyanobacteria to low Fe habitats might be a combined effect of Fur and PhoB regulators in the open ocean, and Fe will become the main limiting factor when enhanced Fe uptake capacity cannot fulfill the additional Fe demand of P-limited cyanobacteria. Recent studies have greatly deepened our understanding of P-sensing pathways. In addition to its role in phosphate deficiency response, PhoB is now known to regulate secondary metabolite production, pathogenesis, and quorum sensing57,58. The development of mycorrhizal symbiosis in land plants is also mediated in a phosphate-dependent manner59. In natural environments, cyanobacteria recruit phycospheric bacteria based on their own needs55,60. These associated microbes may help to increase the bioavailability of Fe and P, as several bacteria are known to produce ligands or redox-reactive antibiotics to solubilize mineral dust under P-limitation61,62. Whether PhoB also promotes Fe/P co-limitation acclimation by controlling the mutualistic interactions between cyanobacteria and their associated microbes warrants further investigation.

Collectively, our results show that phosphorus deficiency increases the fitness of Fe-limited cyanobacteria through a PhoB regulatory network. Bioinformatic analysis confirms that the identified regulatory pathway is likely to be prevalent among cyanobacteria, suggesting its widespread role in acclimation to Fe/P co-limitation. Given the positive effect of P limitation, the constraint of iron deficiency on oceanic primary productivity might be overestimated. The Fe:P supply ratio might be more important in determining biological production than the concentration of either nutrient alone. This could be extremely important for future simulation and modeling, as P limitation is likely to intensify under global warming in both terrestrial and oceanic environments63,64.

Methods

Culture conditions and general methods

Synechocystis sp. PCC 6803 was grown in YBG11 medium at 30 °C under 30 μmol photons m−2  s−1. In our study, co-limitation was defined as the growth response of Synechocystis to simultaneous low Fe and P concentrations, either of which would be growth-limiting alone. We examined the interactive effects of Fe and P limitation on the growth of the Synechocystis in four independent treatments: (1) nutrient replete, 175 µM PO43− and 6 µM Fe; (2) P-limited, 3.5 µM PO43− and 6 µM Fe; (3) Fe-limited, 175 µM PO43− and 0 µM Fe (no added Fe); and (4) Fe/P co-limited, 3.5 µM PO43− and 0 µM Fe. Trace amount of Fe could be left in the Fe-limited medium, and the final concentration of EDTA was 16 µM irrespective of Fe conditions. Before transfer into each treatment, Synechocystis cells were pre-adapted in PO43−-omitted medium for 4 days to deplete intracellular P.

The growth of each sample was determined by flow cytometry (BD FACSVerse), and data analysis was performed using FlowJo software. Specific growth rates were calculated using the equation µ = (ln N1 – ln N0)/t, where N refers to cell numbers and t is time in days17. The variation in cell size was determined by estimation from the FSC value of FACS data or by measuring diameters of 150 cells at 400 × magnification with an Olympus BX50 microscope. Absorption spectra of cells were measured using a Specord 210 plus spectrophotometer. Chlorophyll a content was determined spectrophotometrically at OD665 in methanol extracts and calculated with the formula chlorophyll a (mg L−1) = 12.6 × OD665.

Mutant construction

The mutant was constructed using standard homologous recombination methods37. Taking phoB knockout mutant as an example, the coding region of slr0081 was amplified with specific primers, and an EcoRV restriction site was introduced to the middle of the fragment via fusion PCR. After cloning into the pMD18-T vector, the plasmid was digested with EcoRV and then ligated with a kanamycin resistance cassette. The resulting plasmid was used to transform Synechocystis 6803. For ChIP-seq analysis, a 3 × Flag tag was fused to the C-terminal of phoB, and the resulting fragment was inserted at the native phoB locus. The complete segregation of ΔphoB and phoB-Flag3 was confirmed by PCR (Supplementary Fig. 8).

To construct the overexpression strains, genomic fragments harboring sodB and slr1908 genes were amplified by PCR and introduced into the native locus of slr0168 and slr2031, respectively. The genes were expressed under the control of the modified PpsbAII promoter65. Pho regulon-activated strains were constructed as previously described34 with some modifications. Briefly, a gene fragment encoding PhoRT412N was introduced into the PpsbAII expression vector pHS29865. The resulting plasmids were transformed into Synechocystis 6803, and complete segregation of the mutant was confirmed by PCR (Supplementary Fig. 17). The primers used are listed in Supplementary Table 4, and the resulting plasmids and strains are listed in Supplementary Table 5.

Measurement of chlorophyll fluorescence

Chlorophyll fluorescence measurements were performed with a WATER-PAM fluorometer (Walz GmbH, Germany). Before measurements, all samples were kept in the dark for 10 min. The maximal fluorescence (Fm) was measured using illumination with pulses of red saturating light. The maximal PSII quantum yield (Fv/Fm) was measured and calculated as (Fm − F0)/Fm. Relative ETR was determined according to the standard method66. The actinic light intensity was increased stepwise from 0 – 1017 μmol photons m−2  s−1.

Total RNA extraction and qRT-PCR analyses

Approximately 100 mL of exponential growth cultures were harvested by centrifugation and frozen in liquid nitrogen. Total RNA was extracted using a TRIzol reagent kit (Invitrogen)37. The genomic DNA digestion and cDNA synthesis were performed using the PrimeScript reagent gDNA eraser kit (Takara) according to the manufacturer’s instructions. The transcript abundance of each gene was quantified by qRT-PCR using a 7900HT Fast real-time PCR system (Thermo Fisher, USA), and rnpB was used as the reference control. All primers used are listed in Supplementary Table 4.

Protein preparation and immunoblotting analysis

Synechocystis cells grown under different nutrient availabilities were collected and resuspended in ice-cold extract buffer (50 mM Mes-NaOH, 10 mM MgCl2, 5 mM CaCl2, 25% glycerol, pH 6.5). After cell lysis by ultrasonication, the sample was centrifuged at 3000 g, 4 °C, for 10 min to remove the debris and unbroken cells, and the supernatant containing the total protein fraction was collected. The crude membranes containing thylakoid membrane proteins were isolated by further centrifugation at 16 000 g, 4 °C, for 1 h. After denaturation at 70 °C for 10 min, the proteins were separated by SDS-PAGE and immunoblotted with corresponding antibodies. The hybridized proteins were visualized with alkaline phosphatase-conjugated secondary antibody (Proteintech) with nitro blue tetrazolium (NBT) and 5-bromo-4-chloro-3-indolylphosphate as the substrates. Uncropped scans of blots and gels are provided in Source Data file.

Determination of ROS content and SOD activity

To determine the intracellular ROS content, 2 mL of cells were collected and resuspended in 2 mL TE buffer (10 mM Tris-base, 1 mM EDTA-Na2, 0.5 mM NaCl, pH 8.0). The samples were then incubated with 10 μM DCFH-DA (Sigma-Aldrich) at 30 °C for 1 h67. After the incubation, cells were washed twice with fresh medium and finally resuspended in 1 mL of fresh medium. The fluorescence intensity of the samples was determined with an F-4500 fluorescence spectrophotometer (Hitachi, Japan) using 488 nm excitation and detecting emission at 525 nm.

The SOD activity was detected via in-gel activity staining as described previously68. Equal amounts of proteins were loaded and separated by native PAGE at 4 °C. The gel was soaked firstly in phosphate buffer (20 mM NaH2PO4, 20 mM K2HPO4, pH 7.8) with 2.5 mM NBT for 30 min and then in phosphate buffer containing 28 mM TEMED and 28 mM flavin for another 20 min. After incubation, the gel was rinsed twice with phosphate buffer and then exposed to white light at 100 µmol photons m−2  s−1. The result was quantified using ImageJ software.

Determination of intracellular Fe content

Intracellular Fe quota was measured as described previously37. Briefly, 100 ml of Synechocystis cells grown under different Fe and P availabilities for 4 days were collected and washed twice with MES-EDTA solution (20 mM MES, 10 mM EDTA, pH 5.0) to remove extracellular Fe. Samples were mixed with HNO3 and digested at 180 °C for 25 min. The digested materials were diluted with Milli-Q water (18.2 M Ω cm−1). Metal quotas were determined using inductively coupled plasma mass spectrometry (Thermos Scientific), and the result was normalized to dry weight.

Y1H library screening

Transcription factors that could interact with target promoters were identified by the Y1H system69. Taking sodB as an example, the predicted promoter region of sodB was cloned into the pAbAi vector, and the resulting plasmid was transformed into the Y1HGold yeast bait strain. An efficient Y1H library composed only of transcription factors of Synechocystis 6803 was transformed into the Y1H Gold strain obtained above, and the pGADT7 empty vector was used as a negative control. Growth of the yeast cells on the −Leu plates with 200 μg L−1 aureobasidin A (AbA) indicates potential pro-sodB interacting transcriptional factors in the cell. Genes encoding putative binding proteins were identified by DNA sequencing, and the interaction between the identified transcription factor and sodB promoter was further verified by point-to-point Y1H.

EMSA

EMSA was performed according to the method described by Xu et al.69. DNA fragments containing the promoter region of PhoB targets were amplified with biotin-labeled and unlabeled primers, respectively. The GST-tagged PhoB recombinant protein was produced and purified with a GST binding resin (Novagen)69. The binding reactions between DNA and protein were performed in the EMSA-binding buffer (10 mM Tris-HCl, 50 mM KCl, 1 mM DTT, 0.1% BSA, 5% glycerol, pH 7.5), and the unlabeled DNA and poly (dI-dC) were added to exclude unspecific binding. The reaction mixtures were separated on 6% polyacrylamide gels and then electro-blotted onto nylon membranes (Millipore). After UV cross-linking for 10 min, the nylon membranes were soaked with 5% skimmed milk and then incubated with HRP-conjugated streptavidin for 30 min. Biotin-labeled fragments were detected by chemiluminescence.

Identification of extracellular proteins

About 200 mL liquid culture (OD730 = 0.4) was centrifuged at 4 000 g, 4 °C, for 10 min, and the supernatant containing the extracellular proteins was collected. The supernatant was filtered through 0.45 µm pore size filters to remove remaining cell debris, and the proteins in the filtrate were further concentrated by ultrafiltration using centrifugal filters with a molecular weight cut-off of 5 kDa (Millipore). The concentrated extracellular proteins were precipitated with 10% trichloroacetic acid at 4 °C overnight and then dissolved in 50 mM ammonium bicarbonate. The protein digestion and mass spectrometry analysis were performed as described previously70. LC-MS/MS spectra were searched against the protein database of Synechocystis in UniProt (https://www.uniprot.org/) using the Proteome discoverer 2.1 software. The FDR (false discovery rate) parameter was set to 0.05 for protein identification.

Sample preparation and transcriptomic analysis

Triplicate cultures of Synechocystis grown under different Fe and P availabilities were collected and quickly frozen in liquid nitrogen. Total RNA was extracted using TRIzol Reagent according to the manufacturer’s instructions (Invitrogen). RNA samples were quantified using an ND-2000 spectrophotometer (NanoDrop) and sent to the Majorbio Co. Ltd. for library preparation and 150-bp paired-end sequencing on an Illumina HiSeq×TEN sequencer. Bioinformatics analysis was performed using a cloud platform (www.majorbio.com) based on the data generated by the Illumina platform. RSEM was used to quantify gene and isoform abundances. The TPM method was used to calculate gene expression levels. Differentially expressed genes were identified by using the DESeq2 packages (http://bioconductor.org/packages/release/bioc/html/DESeq2.html). The complete transcriptome results are summarized in Supplementary Data 2, and genes specifically different expressed under −Fe−P were listed in Supplementary Data 3.

ChIP seq

The phoB-FLAG3 strains were grown in phosphate omitted medium to an OD730 of 0.5 and then cross-linked by 1% formaldehyde treatment for 15 min at room temperature, followed by quenching with 125 mM glycine. Sample preparation for ChIP-Seq was performed as previously described71, and libraries were prepared from two biological replicates. The library sequencing was performed with Illumina NovaSeq 6000 by IGENEBOOK Biotechnology Co. Ltd. The MACS2 program (version 2.1.1.20160309) was used for peak calling, and the data were visualized by IGV (version 2.16.0).

In silico analysis of Pho regulon

The expression and distribution of cyanobacterial sods in the surface ocean were determined by analyzing their presence in the global marine TARA metagenome and metatranscriptome datasets31. The reference proteins of each SOD isoform were chosen from that of representative species (sodN in Synechococcus sp. WH8102, sodC in Synechococcus sp. WH7803, and sodB in Synechocystis sp. PCC 6803), and the reads recruitment was performed using a cut-off E-value < 10−10. The source data are provided as a Source Data file.

The conserved PhoB binding motif was extracted from promoter sequences of experimentally verified PhoB target genes using the MEME Suite web server (version 5.5.3; default parameters)72. The result was presented as a logo generated by Weblogo (https://weblogo.berkeley.edu/logo.cgi). FIMO web server was utilized to scan for the possible PhoB binding sites with the motif constructed above72. The promoter sequences of sods and porin genes were extracted from genomes of Crocosphaera watsonii WH8501, Microcystis aeruginosa NIES-843, Prochlorococcus marinus MED4, Prochlorococcus sp. MIT9301, Prochlorococcus sp. MIT9312, Prochlorococcus sp. MIT9313, Synechococcus sp. CC9605, Synechococcus sp. PCC 7002, Synechococcus WH7803, Synechococcus WH8102, and Trichodesmium erythraeum IMS101.

Statistical analyses

Unless noted otherwise, all experiments were carried out with at least three independent replicates. The statistical calculations were performed using Origin 2021 (Originlab) software. Tukey’s honest significant difference (HSD) test was used to compare mean values of various treatments, and the difference was considered statistically significant when the test yielded a P-value < 0.05. The t-test was conducted to assay the statistical significance of the difference between the means of two independent groups. Statistical analyses of meta-omics data were tested by Kruskal-Wallis ANOVA.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.