Abstract
Form I Ribulose-1,5-bisphosphate oxygenase/carboxylase (RuBisCO) is the most abundant enzyme on Earth, playing a key role in carbon fixation during oxygenic photosynthesis. Using published sequence data, I show that there are significant differences in the amount of elemental resources (C, N and S) and energy required to synthesize the different Types of Form I RuBisCO. The shorter amino acid lengths of cyanobacterial RuBisCO had lower resource requirements to build the holoenzyme compared with eukaryotes. Consequently, the rise to dominance of eukaryote phytoplankton during the Neoproterozoic (1000–541 Ma) led to a shift to more expensive eukaryote RuBisCO. There are also significant differences in the elemental composition of RuBisCO between eukaryotes in different supergroups. Estimates of resource allocation were used to estimate how much C, N and S is associated with RuBisCO in the modern ocean. The marine cyanobacterium Prochlorococcus is the most numerically abundant photosynthetic organism on Earth and accounts for 7.3 – 8.9% of net ocean primary productivity. There are 2.11- 2.69 x 106 mol RuBisCO in Prochlorococcus, which amounts to 4 to 5% of the total RuBisCO pool in the ocean. The relatively low RuBisCO content compared with productivity indicates highly efficient photosynthesis in Prochlorococcus. The total marine RuBisCO reservoir is equivalent to 0.016 Pg C, 5.1 Tg N, and 0.4 Tg S. The estimated annual productivity of RuBisCO is equivalent to 0.725 - 0.890 Pg C yr-1, 228–283 Tg N yr-1, and 16.5 - 22.5 Tg S yr-1. In the context of the marine nitrogen cycle, the amount of nitrogen fluxing through the pool of RuBisCO each year is equivalent to, or even higher, than the rate of biological nitrogen fixation (223 ± 30 Tg N yr−1). Turnover of RuBisCO is rapid, occurring every 6.6 to 8.2 days. In conclusion, RuBisCO is not only significant as the primary carbon fixation enzyme in the ocean, but also as a pool of chemical elements, particularly nitrogen.
1 Introduction
The protein ribulose-1,5-bisphosphate oxygenase/carboxylase (RuBisCO; EC 4.1.1.39) is the most abundant enzyme on Earth and is an essential component of the biosphere and global carbon cycle (). RuBisCO is found in all oxygenic photosynthetic organisms, where it catalyzes the light-independent step of carbon fixation during the Calvin-Benson-Bassham (CBB) cycle (; ). An estimated standing stock of 1 Pg RuBisCO () catalyzes the fixation of ~120 Pg C year-1 from atmospheric CO2 into organic matter on Earth (). RuBisCO is an old enzyme (> 3,500 Ma; ), which has evolved several forms that vary in structure and organization of the protein subunits that make the holoenzyme (; ). With the evolution of oxygenic photosynthesis (3,400 to 2,900 Ma; ) and the subsequent Great Oxidation Event (GOE) ~ 2.4 billion years ago (; ), Form I RuBisCO played a pivotal role in the oxygenation of the atmosphere and ocean. Oxygenation continued with the Neoproterozoic Oxidation Event between 850 and 540 Ma (; ), though the dynamics of oxygen during the Proterozoic and early Phanerozoic are debated (; ; ). The oxygenation of Earth’s atmosphere and ocean resulted in profound changes in biological evolution, and the coupled geochemistry of the planet (; ). Oxygenation contributed to the conditions that led to the Cambrian explosion over a ~ 20 Ma year period from 541 Ma (; ), during which rapid evolution and radiation of animal taxa laid the foundations for the major groups of animals found on Earth today.
Form I RuBisCO is found in oxygenic photosynthetic organisms such as cyanobacteria, marine protists, and terrestrial plants. Form I RuBisCO has a quaternary structure composed of two protein subunits encoded in two genes. The large subunit (L) is ~ 55,000 Da and is encoded in the rbcL gene, while the small subunit (S) is ~ 15,000 Da and is encoded in the rbcS gene. These two subunits are organized in a hexadecameric (L8S8) holoenzyme (Figure 1), with a combined molecular mass of ~ 550,000 Da ().
Figure 1
Different taxa of photosynthetic organisms contain different types of Form I Rubisco (
Form I RuBisCO contributes up to 65% of total soluble protein mass in leaves and 2 to 23% of the total protein in phytoplankton (
Understanding how organisms assign resources and respond to resource availability is fundamental to understanding life on Earth and global biogeochemical cycles. Despite its slow rate of evolution, there are structural differences between Form I RuBisCo from different major groups of oxygenic photosynthetic organisms. This reflects the hundreds of millions of years since the major groups diverged on the tree of life (
2 Methods
2.1 Protein sequence selection and elemental composition
Protein sequences were downloaded from Uniprot Knowledgebase (UniprotKB), a freely available online database of protein sequences and functional information (
The sequences were downloaded in Microsoft Excel format (.xlsx) during July 2023. Separate files were downloaded for each taxonomic group of photosynthetic organisms and each of the two genes in Form I RuBisCO. As the focus of this work was the major groups of photosynthetic organisms extant in the ocean, the taxonomic focus was families of aquatic photosynthetic eukaryotes and the cyanobacteria (Table 1). For comparison, data for dicotyledon flowering plants (class Magnoliopsida) were also used (Table 1). Only the Swiss-Prot subset of UniprotKB data were used for the analysis of flowering plants to reduce biases caused by the large size of this dataset compared with the others. Secondly, only using Swiss-Prot reduced the bias and redundancy of multiple sequences from a relatively small group of crop plants and model species (e.g. Arabidopsis thaliana).
Table 1
| Supergroup/domain | Class/phylum | RuBisCO type | L8S8 | L | S |
|---|---|---|---|---|---|
| Bacteria1 | Cyanobacteriota2 | Type IBc | 4 | 145 | 9 |
| Bacteria1 | Cyanobacteriota2 | Type IAc | 5 | 21 | 5 |
| 12 | 166 | 14 | |||
| Archaeplastida3 | Bangiophyceae | Type ID | 9 | 9 | 10 |
| Archaeplastida3 | Compsopogonophyceae | Type ID | 0 | 0 | 4 |
| Archaeplastida3 | Florideophyceae | Type ID | 0 | 2 | 0 |
| Archaeplastida3 | Rhodellophyceae | Type ID | 0 | 0 | 2 |
| Archaeplastida3 | Stylonematophyceae | Type ID | 0 | 0 | 2 |
| 9 | 11 | 18 | |||
| Archaeplastida4 | Charophyceae | Type IB | 0 | 1 | 0 |
| Archaeplastida4 | Chlorodendrophyceae | Type IB | 0 | 3 | 1 |
| Archaeplastida4 | Chlorophyceae | Type IB | 1 | 70 | 4 |
| Archaeplastida4 | Glaucophyta | Type IB | 0 | 0 | 2 |
| Archaeplastida4 | Magnoliopsida | Type IB | 6 | 110 | 30 |
| Archaeplastida4 | Mamiellophyceae | Type IB | 1 | 2 | 5 |
| Archaeplastida4 | Marchantiophyta | Type IB | 0 | 35 | 0 |
| Archaeplastida4 | Trebouxiophyceae | Type IB | 1 | 30 | 4 |
| Archaeplastida4 | Ulvophyceae | Type IB | 3 | 86 | 6 |
| Archaeplastida4 | Zygnemophyceae | Type IB | 0 | 3 | 0 |
| Archaeplastida4 | Pedinophyceae | Type IB | 0 | 3 | 0 |
| 12 | 343 | 52 | |||
| Stramenopila | Bacillariophyta | Type ID | 6 | 22 | 68 |
| Stramenopila | Chrysophyceae | Type ID | 0 | 0 | 1 |
| Stramenopila | Phaeophyceae | Type ID | 0 | 7 | 2 |
| Stramenopila | Raphidophyceae | Type ID | 0 | 0 | 3 |
| Stramenopila | Xanthophyceae | Type ID | 0 | 1 | 0 |
| 6 | 30 | 73 | |||
| Alveolata | Dinoflagellata3 | Form II | NA | 5 | NA |
| Haptista | Haptista | Type ID | 3 | 3 | 11 |
| Cryptista | Cryptophyceae | Type ID | 2 | 2 | 8 |
| Discoba | Euglenoidea | Type 1B | 0 | 15 | 0 |
Number of sequences analyzed for each taxonomic group.
L8S8 indicates that sequences were available for both the large subunit encoded in the rbcL gene and the small subunit encoded in the rbcS gene and therefore information was available to estimate the resources required to build a complete RuBisCO protein. L indicates the number of sequences that were analyzed for the large subunit of RuBisCO (encoded in the rbcL gene). S indicates the number of sequences that were analyzed for the small subunit of RuBisCO (encoded in the rbcS gene). Bold rows show the totals for each supergroup/domain where there are multiple class/phyla in that supergroup/domain.
1 Bacteria are a domain of life, whereas all other groups in this column are proposed supergroups of Eukaryotes (
2 Cyanobacteriota are a phylum of bacteria; all other groups in this column are classes of eukaryotes.
3 ‘Red’ classes of Archaeplastida belong to the Rhodophyta (Red algae).
4 ‘Green’ classes of Archaeplastida belong to the Viridiplantae (green plants and algae).
5 All taxonomic groups in this table, with the exception of the Dinoflagellata, contain different Types of Form I RuBisCO. Dinoflagellates contain Form II RuBisCO (
The data were processed to eliminate incomplete sequences or sequences annotated as having potentially significant structural issues. Most of the amino acid sequences representing the large and small subunits were annotated as ‘fragments’ and therefore did not represent the full length of the protein. All fragments were discarded and not used in further analysis. A conservative approach was used to eliminate sequences within the remaining pool containing possible sequence errors. Sequences flagged with ‘sequence caution’, ‘sequence conflict’ or ‘caution’ labels were eliminated from the data, with each of these categories of warning indicating a range of different potential issues with the sequence. A very few sequences contained unknown or atypical amino acids within the sequence, indicated by the presence of ‘X’. These sequences were not analyzed as subsequent calculations assume that each amino acid in the sequence can be identified.
A significant number of the remaining sequences were likely to be incomplete or fragments, however they were not identified by the automated annotation within UniprotKB. In some cases, these sequences were less than half or more than double the length of reviewed sequences for that group of organisms, indicating that they were highly unlikely to represent a functional subunit. The elimination of short and long sequences were performed consistently, allowing for variation in sequence length (N) without biasing the data by adding erroneously short or long protein sequences. The ‘normal’ sequence length for each protein subunit for each taxonomic group was defined as the mode amino sequence length. In most cases, the mode sequence length corresponded to the length of reviewed reference sequences (Swiss-Prot) for that taxonomic group. Sequences outside of a range determined by the mode sequence length (Nmode) ± 2% were eliminated from the data. For example, the mode sequence length of the large subunit (encoded in the rbcL gene) in diatoms (Bacillariophyta) is 490 amino acids, therefore sequences ranging from 490 ± 10 amino acids (rounding to the nearest whole amino acid) were included in the analysis (Table 1). For diatoms, large subunit sequences outside of the range 480 to 500 amino acids were eliminated from further analysis. Finally, replicated sequences from the same operational taxonomic unit were removed. Replicates were defined as coming from the same species of eukaryote or the same strain of cyanobacterium. Strains of cyanobacteria, rather than species, were considered more appropriate as there is a significant genetic diversity within ‘species’ of cyanobacteria such as Prochlorococcus marinus (
The content of each element in a protein subunit was determined based on the total number of each specific amino acid in the sequence and the elemental content of each amino acid (Supplementary Table S1). This approach was used to calculate the number of C, N and S atoms in each protein subunit analyzed. The content of H and O in each protein subunit was determined using the same approach, with the addition of a correction accounting for the loss of a water molecule (H2O) through the formation of peptide bonds between two amino acids. The number of peptide bonds in a protein subunit is N-1, resulting in the loss of N-1 oxygen atoms and 2(N-1) hydrogen atoms.
2.2 Energy costs associated with protein subunit synthesis
A similar approach was used to estimate the amount of energy required to synthesize each protein subunit. These determinations are not absolute, but useful for comparing the relative amount of energy required to assemble RuBisCO in different organisms. The energetic cost of building a protein can be divided into the direct costs of assembling the protein and indirect energetic costs associated with supporting the process. Only direct costs were accounted for in this calculation, specifically the energetic cost of building each amino acid in the protein, plus the energetic cost of assembling those amino acids into proteins. The energy used to synthesize proteins can be quantified in terms of high-energy phosphate bonds (~P) and reducing power (H) (
The energetic cost of synthesizing the amino acids in each protein subunit were determined by multiplying the count of each amino acid in the sequence by the energetic cost of synthesizing that amino acid. These values were added together for each of the 20 amino acids to calculate a total energetic cost of synthesizing all the amino acids in the protein subunit. A cost of 4.5 to 5.9 ~P per amino acid is the estimated energetic cost for polymerizing amino acids into a primary protein structure (
The total cost of synthesizing the hexadecameric holoenzyme was calculated by simply adding up the costs of synthesizing the 8 large subunits and 8 small subunits to form the final L8S8 structure. Unaccounted energetic costs include those associated with the correct folding of the subunits, and transport to the site of assembly. The final assembly of L and S subunits into the L8S8 structure would incur energetic costs from binding and associated chaperone proteins and cofactors required to assemble the final molecule (
2.3 Data analysis
Data were plotted and analyzed using SigmaPlot 15.0 (Grafiti LLC.). Analysis of variance (ANOVA) was conducted on data that met the assumptions of normality and equality of variance. The Holm-Sidak method was used to make post-hoc pairwise comparisons. The Kruskall-Wallace one-way analysis of variance on ranks (H) was used on data did not meet these assumptions. Post-hoc pairwise comparisons were conducted using Dunn’s Method. Data were pooled to compare the properties of RuBisCO proteins between eukaryotes and bacteria. The non-parametric Mann-Whitney U test (U) was used to compare the median properties of RuBisCO proteins between eukaryotes and bacteria as these pooled data violated the assumption of normality and therefore a parametric t-test was not suitable.
The taxonomic groups that were included in the analysis, and which type of RuBisCO they contain, are listed in Table 1. Phytoplankton are usually categorized in terms of phylogenetic groups, but types of RuBisCO are not associated with single clades of organisms due to the endosymbiotic origins of different groups. Consequently, the data were summarized using a scheme that emphasizes both taxa and type of RuBisCO. Cyanobacteria were divided into two groups, associated with Type IAc and Type IBc RuBisCO. The eukaryotes were grouped by supergroup (according to
3 Results
3.1 Resources to build the L8S8 holoenzyme of RuBisCO by taxonomic group
Despite the large number of RuBisCO sequences in UniprotKB, data filtering resulted in a total of only 41 complete holoenzyme sequences (Table 2). RuBisCO molecules in cyanobacteria (both Types 1Ac and 1Bc) contained > 390 less amino acids than the eukaryotes. There was a positive correlation between the number of carbon and nitrogen atoms in the L8S8 holoenzyme of RuBisCO (Figure 2A), with different groups of organisms clustering based on the type of RuBisCO. Cyanobacteria (Types 1Ac and 1Bc) contained significantly (p < 0.05) less C and N than the Viridiplantae (Type 1B) (Supplementary Figure S2). The sulfur content of RuBisCO from cyanobacteria containing Type IAc RuBisCO (Prochlorococcus and marine Synechococcus) was significantly (p < 0.05) lower than that of the Stramenopila (Type ID), Haptista (Type ID), and Viridiplantae (Type IB) (Supplementary Figure S2). There was no significant difference between the sulfur content of Type IAc cyanobacteria and the Rhodophyta (Type ID) (Figure 2B, Supplementary Figure S2).
Table 2
| Group | Length | Carbon | Nitrogen | Sulfur | Energy cost | n |
|---|---|---|---|---|---|---|
| Cyanobacteria – Type 1Bc | 4,664 ± 0 | 23,526 ± 104 | 6,434 ± 16 | 224 ± 11 | 137,433 ± 984 | 4 |
| Cyanobacteria - Type 1Ac | 4,669 ± 4 | 23,581 ± 67 | 6,363 ± 15 | 200 ± 11 | 138,161 ± 489 | 5 |
| Archaeplastida – Rhodophyta | 5,012 ± 13 | 25,159 ± 206 | 6,780 ± 66 | 219 ± 20 | 146,635 ± 889 | 9 |
| Archaeplastida – Viridiplantae | 5,229 ± 59 | 25,965 ± 385 | 7,105 ± 80 | 243 ± 26 | 152,118 ± 2030 | 12 |
| Stramenopila | 5,033 ± 3 | 25,039 ± 67 | 6,765 ± 34 | 244 ± 15 | 146,681 ± 376 | 6 |
| Cryptista | 5,016 | 24,956 | 6,784 | 268 | 146,294 | 2 |
| Haptista | 5,016 ± 0 | 25,075 ± 74 | 6,707 ± 12 | 267 ± 20 | 146,642 ± 387 | 3 |
Mean composition of L8S8 RuBisCO holoenzymes from different groups of photosynthetic organisms.
‘Length’ indicates the total number of amino acids in the protein. ‘Carbon’, ‘nitrogen,’ and ‘sulfur’ indicate the total number of atoms of each of these elements in the L8S8 RuBisCO. ‘Energy’ is the amount of energy required to synthesize the protein in terms of number of high-energy phosphate bonds (~P). The number of taxa contributing to each group is indicated by n. Numbers show mean ± standard deviation (SD). SD was not calculated when n ≤ 2.
Figure 2

Elemental composition of the L8S8 holoenzyme of form I RuBisCO for different taxonomic groups of phytoplankton. (A) Number of carbon and nitrogen atoms. (B) Number of carbon and sulfur atoms. (C) Number of carbon atoms and the energy required to synthesize the holoenzyme quantified in phosphate bonds. Data points show the mean ± SD, where n is variable and is listed in Table 2.
Energy requirements to synthesize RuBisCO were aligned with taxonomic group and RuBisCO type (Figure 2C). It required significantly less energy to synthesize cyanobacterial RuBisCO than eukaryote RuBisCO. There was no significant difference in the amount of energy required to synthesize the two types of cyanobacterial RuBisCO (Types 1Ac and Type 1Bc) (Supplementary Figure S2). Groups containing Type 1D RuBisCO clustered together (Figure 2C), indicating that there was no significant difference between them in the amount of energy required to synthesize RuBisCO (Supplementary Figure S2). Type 1B RuBisCO, found in plants and green algae, required the most energy for RuBisCO synthesis (Supplementary Figure S2).
3.2 Resources to build the large subunit (L) protein of RuBisCO
Data from the large and small subunits of RuBisCO were analyzed separately, which increased the number of available sequences for analysis (Table 1). Analysis of the large subunits added two supergroups that were absent from the analysis of the holoenzyme; the Alveolata and the Discoba. All the Alveolata sequences were from dinoflagellates (Dinoflagellata) and the Discoba were Euglenoidea (Table 3). Compared with all other taxa, Dinoflagellates had the longest large subunit sequences (561 ± 108; mean ± SD) (Table 3). However, there was a high degree of uncertainty in this estimate as the shortest sequence was 471 amino acids and the longest was 740 in length. The number of Alveolata sequences analyzed was small (n = 5) and there was no mode sequence length. Therefore, despite the variation in sequence length, none of the sequences could be excluded from the data based on the criteria described in the methods. There was a significant difference in the amino acid length of the large subunits between different taxa (H = 191.2, 6 degrees of freedom, p < 0.001) (Supplementary Figure S3), with the shortest sequences (471 ± 0 amino acids) occurring in the cyanobacteria with Type 1Ac RuBisCO and the longest sequences (with the exception of the dinoflagellates) occurring in the Stramenopila (490 ± 2 amino acids). Amino acid sequences were longer in the ‘red type’ lineages containing Type ID RuBisCO than the ‘green type’ lineages containing Type IA RuBisCO. There were notable differences in the numbers of specific amino acids between the different groups (Figure 3). For example, the median number of threonine in cyanobacteria containing Type IAc RuBisCO was 27, compared to 32 in cyanobacteria containing Type IBc RuBisCO. There was also variation in the number of sulfur-containing amino acids (cysteine and methionine) across the different groups. Red type Archaeplastida, containing Type 1D RuBisCO, had the minimum median number of cysteine (4) compared with the Discoba (Type IB RuBisCO), which had the maximum median number of cysteine (33). Median methionine varied from 9 in cyanobacteria containing Type IAc RuBisCO, to 18 in the red type Archaeplastida.
Table 3
| Group | Length | Carbon | Nitrogen | Sulfur | Energy cost | n |
|---|---|---|---|---|---|---|
| Cyanobacteria - Type 1Bc | 475 ± 2 | 2,363 ± 16 | 653 ± 4 | 21 ± 3 | 13,817 ± 87 | 145 |
| Cyanobacteria – Type 1Ac | 471 ± 0 | 2,346 ± 10 | 647 ± 3 | 20 ± 1 | 13,722 ± 68 | 21 |
| Archaeplastida – Rhodophyta | 488 ± 2 | 2,424 ± 15 | 655 ± 6 | 22 ± 2 | 14,173 ± 57 | 11 |
| Archaeplastida – Viridiplantae | 476 ± 2 | 2,348 ± 16 | 650 ± 4 | 20 ± 3 | 13,767 ± 81 | 343 |
| Stramenopila | 490 ± 2 | 2,417 ± 13 | 655 ± 5 | 23 ± 2 | 14,185 ± 71 | 30 |
| Cryptista | 488 | 2,399 | 651 | 28 | 14,129 | 2 |
| Haptista | 488 ± 0 | 2,403 ± 7 | 650 ± 2 | 27 ± 2 | 14,111 ± 34 | 3 |
| Alveolata | 561 ± 108 | 2,724 ± 466 | 747 ± 124 | 23 ± 6 | 15,993 ± 2,697 | 5 |
| Discoba | 475 ± 1 | 2,340 ± 9 | 650 ± 3 | 23 ± 1 | 13,778 ± 5 | 15 |
Mean composition of a single large subunit (L) in RuBisCO proteins from different groups of photosynthetic organisms.
‘Length’ indicates the total number of amino acids in the protein subunit. ‘Carbon’, ‘nitrogen,’ and ‘sulfur’ indicate the total number of atoms of each of these elements. ‘Energy’ is the amount of energy required to synthesize the protein subunit in terms of number of high-energy phosphate bonds (~P). The number of taxa contributing to each group is indicated by n. Numbers show mean ± standard deviation (SD). SD was not calculated when n ≤ 2.
Figure 3

Median amino acid composition of the large subunit (L) of form I RuBisCO for different groups of phytoplankton. The number above each stacked bar is the number of taxa in each phytoplankton group. Each amino acid is listed using the standard 1 letter code, see Supplementary Table S1 for the corresponding amino acid name.
Pooling data from all the eukaryote groups, the mean length of the large subunit protein was 477 ± 5 (mean ± SD) (n = 403; excluding dinoflagellates). This was a small, but significant, difference from the length of the large subunit in cyanobacteria (474 ± 2; n = 166) (U = 29295, p = 0.05). The mean elemental resources required to build the large subunit in eukaryotes (excluding dinoflagellates) was 2356 ± 27 carbon, 651 ± 5 nitrogen, and 20 ± 3 sulfur atoms; which is similar to the 2361 ± 16 carbon, 652 ± 4 nitrogen, and 20 ± 3 sulfur atoms required to build the large subunit in cyanobacteria. Despite the similarity in carbon and nitrogen content of eukaryotes and cyanobacteria, there were significant differences in the median carbon (U = 23808, p < 0.001) and nitrogen content (U = 26659, p < 0.001) of these groups.
The comparative number of carbon, nitrogen, sulfur, and energy required to synthesize the large subunit varied across different taxa of photosynthetic organism (Figure 4). These data are presented at a higher taxonomic resolution than the previous data, with each data point representing a single class or division of organisms (see Table 1 for a list of classes analyzed). The classes and divisions grouped according to RuBisCO type; groups containing Type ID RuBisCO (e.g. diatoms (Bacillariophyta), golden algae (Haptista) and red algae (Bangiophyceae) required more carbon per large subunit than organisms containing both Type IB RuBisCO (e.g. green algae, land plants and cyanobacteria) and Type IA RuBisCO (Cyanobacteria) (Figure 4A, Supplementary Figure S3). Land plants (Magnoliopsida and Marchantiophyta) contained less sulfur per large subunit compared with marine groups of Eukaryotes (Bacillariophyta, Phaeophyceae and Haptista). Just as in the complete L8S8 RuBisCO molecule, the energy requirement to build the large subunit was proportional to its carbon content (Figure 4C, Supplementary Figure S3). There were significant differences in the elemental composition and amount of energy required to synthesize the large subunit of RuBisCO between different taxa (Supplementary Figure S3).
Figure 4

Elemental composition of the large subunit (L) of Form I RuBisCO for different taxonomic groups of phytoplankton. (A) Number of carbon and nitrogen atoms. (B) Number of carbon and sulfur atoms. (C) Number of carbon atoms and the energy required to synthesize the holoenzyme quantified in phosphate bonds. Data points show the mean ± SD, where n is variable and is listed in Table 3.
3.3 Resources to build the small subunit (S) protein of RuBisCO
There was a significant difference in amino acid length of the small subunit between different taxa (H = 138.9, p < 0.001) (Figure 5, Supplementary Figure S4). Land plants and green algae (Viridiplantae) had the longest sequences, with a mean length of 177 amino acids. The mean length of the small subunit in other common groups of eukaryotes (Stramenopila, Cryptista and Hatpista) was 139 amino acids (Table 4). The mean (± SD) length of the small subunit in cyanobacteria was 112 ± 1 (n = 14) amino acids, compared with 153 ± 27 (n = 165) in eukaryotes. The Stylonematophyceae (a class of red algae) were excluded from subsequent analysis due to their extremely long sequences for the small subunit (mean = 313 amino acids) and low representation in the data (n =2). Based on the length of the small subunit in other classes of red algae, it is probable that these long sequences are a result of a sequencing error. As observed with the large subunit, there was variation in the number of specific amino acids between different groups (Figure 5). For example, the median number of alanines in Cyanobacteria containing Type IBc RuBisCO was 4 (3.6% of amino acids), compared with 18 (9.0% of amino acids) in the Viridiplantae (Type IB).
Figure 5

Median amino acid composition of the small subunit (S) of form I RuBisCO for different groups of phytoplankton. The number above each stacked bar is the number of taxa in each phytoplankton group. Each amino acid is listed using the 1 standard letter code, see Supplementary Table S1 for the corresponding amino acid name.
Table 4
| Group | Length | Carbon | Nitrogen | Sulfur | Energy cost | n |
|---|---|---|---|---|---|---|
| Cyanobacteria - Type 1Bc | 112 ± 1 | 596 ± 4 | 154 ± 5 | 6 ± 1 | 3,446 ± 57 | 9 |
| Cyanobacteria – Type 1Ac | 113 ± 0 | 594 ± 1 | 146 ± 0 | 5 ± 1 | 3,508 ± 11 | 5 |
| Archaeplastida – Rhodophyta | 158 ± 56 | 814 ± 275 | 219 ± 77 | 6 ± 1 | 4,678 ± 1538 | 18 |
| Archaeplastida – Rhodophyta* | 138* ± 0 | 719* ± 8 | 192* ± 3 | 5* ± 1 | 4150* ± 49 | 16* |
| Archaeplastida – Viridiplantae | 177 ± 16 | 891 ± 73 | 236 ± 21 | 11 ± 3 | 5,224 ± 451 | 53 |
| Stramenopila | 139 ± 1 | 712 ± 7 | 190 ± 3 | 8 ± 1 | 4,164 ± 40 | 75 |
| Cryptista | 139 ± 0 | 717 ± 8 | 197 ± 2 | 6 ± 1 | 4,134 ± 38 | 8 |
| Haptista | 139 ± 0 | 724 ± 10 | 189 ± 3 | 6 ± 1 | 4,180 ± 58 | 11 |
Mean composition of a single small subunit (S) in RuBisCO proteins from different groups of photosynthetic organisms.
‘Length’ indicates the total number of amino acids in the protein subunit. ‘Carbon’, ‘nitrogen,’ and ‘sulfur’ indicate the total number of atoms of each of these elements. ‘Energy’ is the amount of energy required to synthesize the protein subunit in terms of number of high-energy phosphate bonds (~P). The number of taxa contributing to each group is indicated by n.* indicates the Rhodophyta with the class stylonematophyceae removed (see text for explanation). Numbers show mean ± standard deviation (SD).
Significant variation in the length of the small subunit protein resulted in significant variation in the amount of elemental resources (C, N and S) and energy required to synthesize it across different taxonomic groups (Figure 6). There are 3 distinct clusters of taxonomic groups in Figure 6, corresponding to the Cyanobacteria (Types IAc and IBc RubisCO), eukaryotes containing Type 1D RuBisCO (Stramenopila, Haptista, Cryptista and red-type Archaeplastida (Rhodophyta)), and eukaryotes containing Type IB RuBisCO (green-type Archaeplastida (Viridiplantae)). As expected by their relatively long amino acids sequences, significantly more elemental resources in terms of carbon, nitrogen (Figure 6A), sulfur (Figure 6B), and energy (Figure 6C) were needed to build a small subunit RuBisCO in the Viridiplantae compared with the other taxa (Supplementary Figure S4). The small subunit protein of the Viridiplantae contained approximately twice as much sulfur (11 ± 3 atoms; mean ± standard deviation) as all other groups, except for the Stramenopila (8 ± 1 atoms) (Table 4, Supplementary Figure S4). The mean (± SD) elemental resources needed to build the small subunit in eukaryotes were 782 ± 127 carbon, 208 ± 35 nitrogen, and 8 ± 3 sulfur atoms. This is significantly more resources than those needed to build the small subunit in cyanobacteria; 596 ± 3 carbon (U = 28.000, p < 0.001), 151 ± 5 nitrogen (U = 28.000, p < 0.001), and 6 ± 1 sulfur atoms (U = 416.000, p < 0.001). The variation in elemental resources required to build the small subunit in eukaryotes was much greater than observed in the cyanobacteria. This was due to the significant variation in size of the small unit between different groups of eukaryotes (Table 4, Figure 5). However, the relatively small size of the sample from cyanobacteria (n = 14) compared with the eukaryotes (n = 165) may have played a role.
Figure 6

Elemental composition of the small subunit (S) of form I RuBisCO for different taxonomic groups of phytoplankton. (A) Number of carbon and nitrogen atoms. (B) Number of carbon and sulfur atoms. (C) Number of carbon atoms and the energy required to synthesize the holoenzyme quantified in phosphate bonds. Data points show the mean ± SD, where n is variable and is listed in Table 3.
The mean length of the small subunit across all groups (excluding the stylonematophyceae) was 148 ± 22 amino acids (± SD; n = 177), with a range of 107 to 205 amino acids. The mean length of the large subunit across all groups (excluding dinoflagellates) was 476 ± 4 (± SD; n = 570), with a range of lengths from 465 to 496 amino acids. The lower variation in length of the large subunit compared with the small subunit suggests that its structure is more conserved. Considering just the small subunit of RuBisCO, the range of protein length was 113–113 amino acids in Type IAc, 111–113 in Type IBc, 138–141 in Type ID, and 107–205 in Type IB organisms. Variation in the Type IB was much greater than in the other groups as this group included the Viridiplantae (green algae, terrestrial plants) and Glaucophyta. Discoba (euglenoids) also contain Type IB RuBisCO, but they were not represented in the small subunit data.
3.4 Comparing the different types of form I RuBisCO
The costs of creating L8S8 RuBisCO for the different types of RuBisCO are presented in Table 5. This is different from the data presented in Table 2, as all the groups containing Type ID RuBisCO (Bangiophyceae, Bacillariophya, Haptista, and Cryptophyceae) are grouped together. Comparing the two types of eukaryote RuBisCO, the ‘green type’ (Type IB) contains significantly more carbon and nitrogen compared with the ‘red type’ (Type ID) (Table 5, Supplementary Figure S5). There were significant differences in the C:N ratio (F3,37 = 11.240, p < 0.001) of the different types of RuBisCO, with Type ID having a significantly (p < 0.05) higher C:N ratio than Type IB and Type IBc (Table 5, Supplementary Figure S5). The C:N ratio of the two types of cyanobacterial RuBisCO were also significantly (p < 0.05) different, with Type IAc (Prochlorococcus and marine Synechococcus) having a higher C:N ratio than Type IBc RuBisCO. There was no significant difference in the C:S or N:S ratios of the different types of RuBisCO (Table 5, Supplementary Figure S5). The number of nitrogens per holoenzyme was a much more useful metric for comparing RuBisCO between groups than the C:N ratio. This is simply because there is significant variation in the number of amino acids required to build RuBisCO between the different Types (Table 5). For example, while both Types IAc and ID have a mean C:N ratio of 3.71, it takes a mean 6,363 nitrogen atoms to build the holoenzyme of Type IAc RuBisCO compared with 6,765 nitrogen atoms for Type ID.
Table 5
| Type IAc | Type IBc | Type IB | Type ID | |
|---|---|---|---|---|
| Length | 4,669 ± 4 | 4,664 ± 0 | 5,229 ± 59 | 5,020 ± 13 |
| Carbon | 23,581 ± 67 | 23,526 ± 104 | 25,965 ± 385 | 25,090 ± 158 |
| Nitrogen | 6,363 ± 15 | 6,434 ± 17 | 7,105 ± 80 | 6,765 ± 54 |
| Sulfur | 200 ± 11 | 224 ± 11 | 243 ± 26 | 238 ± 26 |
| Energy cost | 138,161 ± 489 | 137,433 ± 984 | 152,118 ± 2030 | 146,615 ± 627 |
| C:N | 3.71 ± 0.01 | 3.66 ± 0.02 | 3.65 ± 0.04 | 3.71 ± 0.02 |
| C:S | 118 ± 7 | 105 ± 6 | 108 ± 13 | 107 ± 13 |
| N:S | 31.90 ± 1.84 | 28.77 ± 1.36 | 29.61 ± 3.34 | 28.74 ± 3.52 |
| Energy:C | 5.86 ± 0.01 | 5.84 ± 0.02 | 5.86 ± 0.01 | 5.84 ± 0.02 |
| Molecular mass (Da) | 525,000 | 526,000 | 581,000 | 561,000 |
| n | 5 | 4 | 12 | 20 |
| Environment | marine | marine/freshwater | marine/terrestrial | marine |
Mean (± standard deviation) composition of L8S8 RuBisCO holoenzymes for different types of form I RuBisCO found in photosynthetic organisms.
‘Length’ indicates the total number of amino acids in the protein. ‘Carbon’, ‘nitrogen,’ and ‘sulfur’ indicate the total number of atoms of each of these elements in the L8S8 RuBisCO. ‘Energy cost’ is the amount of energy required to synthesize the protein in terms of number of high-energy phosphate bonds (~P). C:N and C:S represent the mean elemental ratios. Energy:C represents the number of high-energy phosphate bonds required per carbon atom. The mean molecular mass for the holoenzyme was rounded to the nearest 1,000 Da. The number of taxa contributing to each group is indicated by n. The environment row indicates whether the environments that the taxa analyzed predominantly came from.
The mean energy: C ratio for the four RuBisCO types was constant (5.84 to 5.86 high energy phosphate bonds per carbon), reflecting the fact that it is the carbon content that determines how much energy is required to build the proteins and it is not affected by the nitrogen and sulfur content of the RuBisCO. For example, the cost of synthesizing glycine (2 carbons) is 11.7 phosphate bonds, compared with 74.3 phosphate bonds for tryptophan (11 carbons) (Supplementary Table S1). There was a significant correlation (r = 0.997, p < 0.001, n = 41) between the carbon content of the protein and the estimated energy required to synthesize it.
4 Discussion
4.1 RuBisCO size in eukaryotes and cyanobacteria
The largest difference between the elemental composition of the RuBisCo protein corresponds to the difference between cyanobacteria and eukaryotes (Table 2). It requires ~ 390 more amino acids to build eukaryote RuBisCO compared to cyanobacterial RuBisCO. The resources required to build an L8S8 RuBisCO in eukaryotes were approximately 1,900, 400 and 37 more carbon, nitrogen and sulfur atoms, respectively, than in cyanobacteria. This finding fits with the observation that proteins are significantly longer in Eukarya compared with Bacteria (
4.2 Variations in subunit length
A dimer of the large subunit (L2) is the minimum active unit able to fix carbon in Form I RuBisCO (
Type 1B RuBisCO is found in both multicellular and single celled organisms, which inhabit marine, freshwater, and terrestrial habitats. Variation in the length of the small subunit did not show patterns associated with specific habitats. Even within one family associated with one environment, there was considerable variation in small subunit length. The Mamiellophyceae had small subunit protein lengths of 162 to 204 amino acids and all species analyzed were marine. The small subunit length in land plants (Magnoliopsida) varied between 177–183 amino acids, similar to those of marine green macroalgae such as Ulva. Variation in the length of the small subunit in land plants may be due to multiple isoforms of rbcS within a single plant species, which are expressed under different environmental conditions (
4.3 C:N stoichiometry of RuBisCO
Pooling the data for all the complete holoenzymes analyzed, the C:N ratio was 3.69 ± 0.04 (mean ± SD; n = 41). The general stoichiometric equation for phytoplankton proteins is C106H168O34N28S (
4.4 RuBisCO in dinoflagellates
The sequence lengths of the large subunit in the dinoflagellates were exceptionally long (561 ± 108 amino acids; mean ± SD) compared with the next longest group, the Stramenopila (490 ± 2). This may have been due to fundamental differences between the large subunit protein of dinoflagellates compared with all the other photosynthetic organisms. More likely, the wide range of protein lengths suggests that there were errors in the sequencing from dinoflagellates and therefore the data were unreliable. This was compounded by the very small (n = 5) sample size and consequently no modal value, so outliers could not be eliminated.
The organization of genetic material in dinoflagellates is very different from that in other eukaryote phytoplankton and they are challenging to sequence (
4.5 Resources other than C, N and S required to synthesize RuBisCO
This study has considered resources in terms of carbon, nitrogen, sulfur, and energy in the form of phosphate bonds. As the stoichiometric equation for phytoplankton protein shows (C106H168O34N28S;
Energy costs were presented in terms of phosphate bonds, but this does not represent a consumption of phosphorus due to the rapid recycling of phosphate through adenosine diphosphate (ADP) (C10H15N5O10P2) and back to ATP (C10H16N5O13P3) within the cell. Nevertheless, a large pool of P is needed within cells to maintain metabolism. Based on cellular ATP measurements by
The number of carbon atoms dictated the energetic cost of synthesizing the amino acids as the number of nitrogen or sulfur atoms in the amino acid did not significantly add to the cost (Supplementary Table S1, Supplementary Figure S1). The cost associated with polymerization of amino acids was proportional to the number of amino acids, and therefore carbon atoms. As a result, the energy cost of synthesizing RuBisCO was highly correlated with its carbon content. Calculating the energy costs of synthesizing RuBisCO provided no more insight than counting the number of carbon atoms in the protein. A more sophisticated approach to evaluate the energy cost of synthesizing RuBisCo would include indirect costs. Examples of indirect energy costs include those associated with the acquisition of biologically available nitrogen and phosphorus from the environment, transcription costs, and the costs associated with synthesizing the chaperon proteins required to synthesize the holoenzyme (
Time can also be considered a resource as it takes more time to obtain the resources and synthesize longer proteins. Protein elongation in a range of organisms (both bacteria and eukaryotes) is 0.59 to 21 amino acids per ribosome per second (
4.6 What about co- and post-translational modifications?
The translation of proteins encoded in genes does not necessarily result in the final mature protein due to modifications during translation (co-translational modifications) and at any point during the lifetime of the protein after translation (post-translational modifications (PTMs))
4.7 Quantifying RuBisCO in the modern ocean
Bioavailable nitrogen is a limiting nutrient in a significant proportion of the surface ocean (
Prochlorococcus is considered to be the most numerically abundant photosynthetic organism on Earth and has a significant impact on biogeochemical cycling in the ocean (
4.8 Evolution of RuBisCO: time and marine geochemistry
The timing of the emergence and/or dominance of different groups of phytoplankton is coupled to the geochemical history of the Earth (
There have been many global scale transitions and events that have influenced the evolution of phytoplankton over the last 2.5 billion years, including the ‘big five’ mass extinction events, and snowball Earth periods (
These changes collectively show an increase in resources (light energy, bioavailable N and P, and S) essential for building phytoplankton. The increase in bioavailable N and P in the Tonian Period (1000 to 720 Ma) of the Neoproterozoic Era was a driver in the rise to dominance of eukaryote phytoplankton and increased productivity during the Neoproterozoic and subsequent Paleozoic Eras (1000 to 252 Ma) (
The red lineages (diatoms, coccolithophores, and dinoflagellates) of eukaryote phytoplankton that dominate the modern ocean today came to prominence during the Mesozoic Era (251 to 65 Ma) (
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://doi.org/10.18738/T8/DZCV8B.
Author contributions
DT: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Methodology, Project administration, Resources, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research and/or publication of this article. Financial support was provided by the National Science Foundation (NSF) Atmospheric Chemistry Program (Award AGS-2128133) to DT and Sarah D. Brooks.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Author disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2025.1653421/full#supplementary-material
References
1
AignerH.WilsonR. H.BracherA.CalisseL.BhatJ. Y.HartlF. U.et al. (2017). Plant RuBisCo assembly in E. coli with five chloroplast chaperones including BSD2. Science358, 1272–1278. doi: 10.1126/science.aap9221
2
AkashiH.GojoboriT. (2002). Metabolic efficiency and amino acid composition in the proteomes of Escherichia coli and Bacillus subtilis. Proc. Natl. Acad. Sci. U. S. A.99, 3695–3700. doi: 10.1073/pnas.062526999
3
AlbertsB.HealdR.JohnsonA.Morgan.D.RaffM.Roberts.K.et al. (2022). Molecular Biology of the Cell. Seventh Edition (New York: W. W. Norton & Company).
4
AmaralJ.LoboA. K. M.Carmo-SilvaE. (2024). Regulation of Rubisco activity in crops. New Phytol.241, 35–51. doi: 10.1111/nph.19369
5
AmritkarK.Cuevas-ZuviriaB.KacarB. (2025). Evolutionary dynamics of RuBisCO: emergence of the small subunit and its impact through time. Mol. Biol. Evol.42, 1–13. doi: 10.1093/molbev/msae268
6
AmthorJ. S. (2000). The McCree-de Wit-Penning de Vries-Thornley respiration paradigms: 30 years later. Ann. Bot.86, 1–20. doi: 10.1006/anbo.2000.1175
7
AnderssonI. (1996). Large structures at high resolution: The 1.6 angstrom crystal structure of spinach ribulose-1,5-bisphosphate carboxylase/oxygenase complexed with 2-carboxyarabinitol bisphosphate. J. Mol. Biol.259, 160–174. doi: 10.1006/jmbi.1996.0310
8
ApweilerR.BairochA.WuC. H.BarkerW. C.BoeckmannB.FerroS.et al. (2004). UniProt: the universal protein knowledgebase. Nucl. Acids Res.32, D115–D119. doi: 10.1093/nar/gkh131
9
BachvaroffT. R.PlaceA. R. (2008). From stop to start: tandem gene arrangement, copy number and trans-splicing sites in the dinoflagellate Amphidinium carterae. PloS One3, e2929. doi: 10.1371/journal.pone.0002929
10
BadgerM. R.BekE. J. (2008). Multiple Rubisco forms in proteobacteria: their functional significance in relation to CO2 acquisition by the CBB cycle. J. Exp. Bot.59, 1525–1541. doi: 10.1093/jxb/erm297
11
Bar-OnY. M.MiloR. (2019). The global mass and average rate of rubisco. Proc. Natl. Acad. Sci.116, 4738–4743. doi: 10.1073/pnas.1816654116
12
Bar-OnY. M.PhillipsR.MiloR. (2018). The biomass distribution on Earth. Proc. Natl. Acad. Sci.115, 6506–6511. doi: 10.1073/pnas.1711842115
13
BasingerC.PinsonneaultM.BastelbergerS. T.GaudiB. S.Domagal-GoldmanS. D. (2024). Constraints on the early luminosity history of the Sun: applications to the Faint Young Sun problem. Mon. Not. R. Astron. Soc534, 2968–2985. doi: 10.1093/mnras/stae2280
14
BatemanA.MartinM. J.OrchardS.MagraneM.AhmadS.AlpiE.et al. (2023). UniProt: the universal protein knowledgebase in 2023. Nucl. Acids Res.51, D523–D531. doi: 10.1093/nar/gkac1052
15
Baudouin-CornuP.Surdin-KerjanY.MarlièreP.ThomasD. (2001). Molecular evolution of protein atomic composition. Science293, 297–300. doi: 10.1126/science.1061052
16
BeaucheminM.RoyS.DaoustP.Dagenais-BellefeuilleS.BertomeuT.LetourneauL.et al. (2012). Dinoflagellate tandem array gene transcripts are highly conserved and not polycistronic. Proc. Natl. Acad. Sci.109, 15793–15798. doi: 10.1073/pnas.1206683109
17
BehrenfeldM. J.FalkowskiP. G. (1997). Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnol. Oceanogr.42, 1–20. doi: 10.4319/lo.1997.42.1.0001
18
BermanH. M.WestbrookJ.FengZ.GillilandG.BhatT. N.WeissigH.et al. (2000). The protein data bank. Nucl. Acids Res.28, 235–242. doi: 10.1093/nar/28.1.235
19
BillerS. J.BerubeP. M.LindellD.ChisholmS. W. (2015). Prochlorococcus: the structure and function of collective diversity. Nat. Rev. Microbiol.13, 13–27. doi: 10.1038/nrmicro3378
20
BouvierJ. W.EmmsD. M.KellyS. (2024). Rubisco is evolving for improved catalytic efficiency and CO2 assimilation in plants. Proc. Natl. Acad. Sci. U. S. A.121, 11. doi: 10.1073/pnas.2321050121
21
BrocchieriL.KarlinS. (2005). Protein length in eukaryotic and prokaryotic proteomes. Nucl. Acids Res.33, 3390–3400. doi: 10.1093/nar/gki615
22
BrocksJ. J.NettersheimB. J.AdamP.SchaefferP.JarrettA. J. M.GüneliN.et al. (2023). Lost world of complex life and the late rise of the eukaryotic crown. Nature618, 767–773. doi: 10.1038/s41586-023-06170-w
23
BrownM. R. (1991). The amino-acid and sugar composition of 16 species of microalgae used in mariculture. J. Exp. Mar. Biol. Ecol.145, 79–99. doi: 10.1016/0022-0981(91)90007-j
24
BrowningT. J.MooreC. M. (2023). Global analysis of ocean phytoplankton nutrient limitation reveals high prevalence of co-limitation. Nat. Commun.14, 5014. doi: 10.1038/s41467-023-40774-0
25
CarrM. E.FriedrichsM.SchmeltzM.AitaM. N.AntoineD.ArrigoK. R. (2006). A comparison of global estimates of marine primary production from ocean color. Deep-Sea Res. Part II-Top. Stud. Oceanogr.53, 741–770. doi: 10.1016/j.dsr2.2006.01.028
26
ChenG. X.ChengQ. M.LyonsT. W.ShenJ.AgterbergF.HuangN.et al. (2022). Reconstructing Earth’s atmospheric oxygenation history using machine learning. Nat. Commun.13, 13. doi: 10.1038/s41467-022-33388-5
27
De ClerckO.BogaertK. A.LeliaertF. (2012). “ Diversity and evolution of algae: primary endosymbiosis,” in Genomic Insights into the Biology of Algae. Ed. PiganeauG. ( Elsevier Academic Press, London), 55–86. doi: 10.1016/b978-0-12-391499-6.00002-5
28
DedonderA.RethyR.FredericqH.VanmontaguM.KrebbersE. (1993). Arabidopsis rbcS genes are differentially regulated by light. Plant Physiol.101, 801–808. doi: 10.1104/pp.101.3.801
29
EllisR. J. (1979). Most abundant protein in the world. Trends Biochem. Sci.4, 241–244. doi: 10.1016/0968-0004(79)90212-3
30
ElserJ. J.AcquistiC.KumarS. (2011). Stoichiogenomics: the evolutionary ecology of macromolecular elemental composition. Trends Ecol. Evol.26, 38–44. doi: 10.1016/j.tree.2010.10.006
31
FakhraeeM.CrockfordP. W.BauerK. W.PasquierV.SugiyamaI.KatsevS.et al. (2025). The history of Earth’s sulfur cycle. Nat. Rev. Earth Environ.6, 106–125. doi: 10.1038/s43017-024-00615-0
32
FakhraeeM.HancisseO.CanfieldD. E.CroweS. A.KatsevS. (2019). Proterozoic seawater sulfate scarcity and the evolution of ocean-atmosphere chemistry. Nat. Geosci.12, 375–380. doi: 10.1038/s41561-019-0351-5
33
FalkowskiP. G.KatzM. E.KnollA. H.QuiggA.RavenJ. A.SchofieldO.et al. (2004). The evolution of modern eukaryotic phytoplankton. Science305, 354–360. doi: 10.1126/science.1095964
34
FalkowskiP.ScholesR. J.BoyleE.CanadellJ.CanfieldD.ElserJ.et al. (2000). The global carbon cycle: A test of our knowledge of Earth as a system. Science290, 291–296. doi: 10.1126/science.290.5490.291
35
FehlingJ.StoeckerD.BaldaufS. L. (2007). “ Photosynthesis and the eukaryote tree of life,” in Evolution of Primary Producers in the Sea. Eds. FalkowskiP.KnollA. H. ( Elsevier Academic Press, Burlington), 75–107.
36
FieldC. B.BehrenfeldM. J.RandersonJ. T.FalkowskiP. (1998). Primary production of the biosphere: Integrating terrestrial and oceanic components. Science281, 237–240. doi: 10.1126/science.281.5374.237
37
FlombaumP.GallegosJ. L.GordilloR. A.RincónJ.ZabalaL. L.JiaoN. A. Z.et al. (2013). Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus. Proc. Natl. Acad. Sci. U. S. A.110, 9824–9829. doi: 10.1073/pnas.1307701110
38
FournierG. P.MooreK. R.RangelL. T.PayetteJ. G.MomperL.BosakT. (2021). The Archean origin of oxygenic photosynthesis and extant cyanobacterial lineages. Proc. R. Soc B-Biol. Sci.288, 10. doi: 10.1098/rspb.2021.0675
39
GrabsztunowiczM.KoskelaM. M.MuloP. (2017). Post-translational modifications in regulation of chloroplast function: recent advances. Front. Plant Sci.8. doi: 10.3389/fpls.2017.00240
40
GruberA. V.FeizL. (2018). Rubisco assembly in the chloroplast. Front. Mol. Biosci.5. doi: 10.3389/fmolb.2018.00024
41
GumsleyA. P.ChamberlainK. R.BleekerW.SöderlundU.KockM. D. O.LarssonE. R.et al. (2017). Timing and tempo of the great oxidation event. Proc. Natl. Acad. Sci. U. S. A.114, 1811–1816. doi: 10.1073/pnas.1608824114
42
HamiltonR. D.Holm-HansenO. (1967). Adenosine triphosphate content of marine bacteria. Limnol. Oceanogr.12, 319–324. doi: 10.4319/lo.1967.12.2.0319
43
HartmannM.Gomez-PereiraP.GrobC.OstrowskiM.ScanlanD. J.ZubkovM. V. (2014). Efficient CO2 fixation by surface Prochlorococcus in the Atlantic Ocean. ISME J.8, 2280–2289. doi: 10.1038/ismej.2014.56
44
HeT. C.ZhuM. Y.MillsB. J. W.WynnP. M.ZhuravlevA. Y.TostevinR.et al. (2019). Possible links between extreme oxygen perturbations and the Cambrian radiation of animals. Nat. Geosci.12, 468–474. doi: 10.1038/s41561-019-0357-z
45
HopkinsonB. M.YoungJ. N.TansikA. L.BinderB. J. (2014). The minimal CO2-concentrating mechanism of Prochlorococcus spp. MED4 is effective and efficient. Plant Physiol.166, 2205–2217. doi: 10.1104/pp.114.247049
46
InomuraK.OmtaA. W.TalmyD.BraggJ.DeutschC.FollowsM. J. (2020). A mechanistic model of macromolecular allocation, elemental stoichiometry, and growth rate in phytoplankton. Front. Microbiol.11. doi: 10.3389/fmicb.2020.00086
47
JónasdóttirS. H. (2019). Fatty acids profiles and production in marine phytoplankton. Mar. Drugs17, 151. doi: 10.3390/md17030151
48
KangJ. Y.GillB.ReidR.ZhangF. F.XiaoS. H. (2023). Nitrate limitation in early Neoproterozoic oceans delayed the ecological rise of eukaryotes. Sci. Adv.9, eade9647. doi: 10.1126/sciadv.ade9647
49
KarpinetsT. V.GreenwoodD. J.SamsC. E.AmmonsJ. T. (2006). RNA: protein ratio of the unicellular organism as a characteristic of phosphorous and nitrogen stoichiometry and of the cellular requirement of ribosomes for protein synthesis. BMC Biol.4, 30. doi: 10.1186/1741-7007-4-30
50
KatzM. R.FennelK.FalkowskiP. G. (2007). “ Geochemical and biological consequences of phytoplankton evolution,” in Evolution of Primary Producers in the Sea. Eds. FalkowskiP.KnollA. H. ( Elsevier Academic Press, Burlington), 405–430.
51
KeelingP. J.BurkiF. (2019). Progress towards the tree of eukaryotes. Curr. Biol.29, R808–R817. doi: 10.1016/j.cub.2019.07.031
52
KesselA.Ben-TalN. (2018). Introduction to Proteins. 2nd ed. (New York: Chapman and Hall/CRC). doi: 10.1201/9781315113876
53
KnollA. H. (2004). Life on a Young Planet. 1st ed. (Princeton: Princeton University Press).
54
Leebens-MackJ. H.BarkerM. S.CarpenterE. J.DeyholosM. K.GitzendannerM. A.GrahamS. W.et al. (2019). One thousand plant transcriptomes and the phylogenomics of green plants. Nature574, 679–685. doi: 10.1038/s41586-019-1693-2
55
LentonT. M. (2016). Earth System Science: A Very Short Introduction (Oxford: Oxford University Press).
56
LentonT. M.BoyleR. A.PoultonS. W.Shields-ZhouG. A.ButterfieldN. J. (2014). Co-evolution of eukaryotes and ocean oxygenation in the Neoproterozoic era. Nat. Geosci.7, 257–265. doi: 10.1038/ngeo2108
57
LentonT. M.DahlT. W.DainesS. J.MillsB. J. W.OzakiK.SaltzmanM. R.et al. (2016). Earliest land plants created modern levels of atmospheric oxygen. Proc. Natl. Acad. Sci. U. S. A.113, 9704–9709. doi: 10.1073/pnas.1604787113
58
LentonT.WatsonA. (2011). Revolutions that made the Earth (Oxford: Oxford University Press).
59
LinS. J. (2024). A decade of dinoflagellate genomics illuminating an enigmatic eukaryote cell. BMC Genomics25, 30. doi: 10.1186/s12864-024-10847-5
60
LonghurstA.SathyendranathS.PlattT.CaverhillC. (1995). An estimate of global primary production in the ocean from satellite radiometer data. J. Plankton Res.17, 1245–1271. doi: 10.1093/plankt/17.6.1245
61
LoshJ. L.YoungJ. N.MorelF. M. M. (2013). Rubisco is a small fraction of total protein in marine phytoplankton. New Phytol.198, 52–58. doi: 10.1111/nph.12143
62
LyonsT. W.TinoC. J.FournierG. P.AndersonR. E.LeavittW. D.KonhauserK. O.et al. (2024). Co-evolution of early Earth environments and microbial life. Nat. Rev. Microbiol.22, 572–586. doi: 10.1038/s41579-024-01044-y
63
MaoY. W.CatherallE.Díaz-RamosA.GreiffG. R. L.AzinasS.GunnL.et al. (2023). The small subunit of Rubisco and its potential as an engineering target. J. Exp. Bot.74, 543–561. doi: 10.1093/jxb/erac309
64
MooreC. M.MillsM. M.ArrigoK. R.Berman-FrankI.BoppL.BoydP. W.et al. (2013). Processes and patterns of oceanic nutrient limitation. Nat. Geosci.6, 701–710. doi: 10.1038/ngeo1765
65
Morales-PolancoF.LeeJ. H.BarbosaN. M.FrydmanJ. (2022). Cotranslational mechanisms of protein biogenesis and complex assembly in eukaryotes. Annu. Rev. Biomed. Data Sci.5, 67–94. doi: 10.1146/annurev-biodatasci-121721-095858
66
MorseD.SaloisP.MarkovicP.HastingsJ. W. (1995). A nuclear-encoded form-II RuBisCO in dinoflagellates. Science268, 1622–1624. doi: 10.1126/science.7777861
67
NewmanJ.BrandenC. I.JonesT. A. (1993). Structure determination and refinement of ribulose 1,5-bisphosphate carboxylase/oxygenase from Synechococcus PCC6301. Acta Crystallogr. Sect. D-Biol. Crystallogr.49, 548–560. doi: 10.1107/s090744499300530x
68
OchL. M.Shields-ZhouG. A. (2012). The Neoproterozoic oxygenation event: environmental perturbations and biogeochemical cycling. Earth-Sci. Rev.110, 26–57. doi: 10.1016/j.earscirev.2011.09.004
69
OlejarzJ.IwasaY.KnollA. H.NowakM. A. (2021). The Great Oxygenation Event as a consequence of ecological dynamics modulated by planetary change. Nat. Commun.12, 9. doi: 10.1038/s41467-021-23286-7
70
PartenskyF.HessW. R.VaulotD. (1999). Prochlorococcus, a marine photosynthetic prokaryote of global significance. Microbiol. Mol. Biol. Rev.63, 106–127. doi: 10.1128/mmbr.63.1.106-127.1999
71
PeperzakL.Casas-MonroyO.BaileyS. A. (2024). Validation of an adenosine triphosphate (ATP) model for 10-50 μm plankton. Mar. pollut. Bull.200, 116066. doi: 10.1016/j.marpolbul.2024.116066
72
PlanavskyN. J.AsaelD.RooneyA. D.RobbinsL. J.GillB. C.DehlerC. M.et al. (2023). A sedimentary record of the evolution of the global marine phosphorus cycle. Geobiology21, 168–174. doi: 10.1111/gbi.12536
73
PlanavskyN. J.RouxelO. J.BekkerA.LalondeS. V.KonhauserK. O.ReinhardC. T.et al. (2010). The evolution of the marine phosphate reservoir. Nature467, 1088–1090. doi: 10.1038/nature09485
74
RainesC. A. (2022). Improving plant productivity by re-tuning the regeneration of RuBP in the Calvin-Benson-Bassham cycle. New Phytol.236, 350–356. doi: 10.1111/nph.18394
75
ReinhardC. T.PlanavskyN. J.GillB. C.OzakiK.RobbinsL. J.LyonsT. W.et al. (2017). Evolution of the global phosphorus cycle. Nature541, 386–389. doi: 10.1038/nature20772
76
RickabyR. E. M.HubbardM. R. E. (2019). Upper ocean oxygenation, evolution of RuBisCO and the Phanerozoic succession of phytoplankton. Free Radic. Biol. Med.140, 295–304. doi: 10.1016/j.freeradbiomed.2019.05.006
77
RobbinsL. J.LalondeS. V.PlanavskyN. J.PartinC. A.ReinhardC. T.KendallB.et al. (2016). Trace elements at the intersection of marine biological and geochemical evolution. Earth-Sci. Rev.163, 323–348. doi: 10.1016/j.earscirev.2016.10.013
78
RowanR.WhitneyS. M.FowlerA.YellowleesD. (1996). Rubisco in marine symbiotic dinoflagellates: Form II enzymes in eukaryotic oxygenic phototrophs encoded by a nuclear multigene family. Plant Cell8, 539–553. doi: 10.1105/tpc.8.3.539
79
RydzyM.TraczM.SzczepaniakA.GrzybJ. (2021). Insights into the structure of rubisco from dinoflagellates-in silico studies. Int. J. Mol. Sci.22, 8524. doi: 10.3390/ijms22168524
80
SarmientoJ. L.GruberN. (2006). Ocean Biogeochemical Dynamics (Princeton: Princton University Press).
81
ShaoZ. B.XuY. C.WangH.LuoW. C.WangL. C.HuangY. H.et al. (2023). Global oceanic diazotroph database version 2 and elevated estimate of global oceanic N2 fixation. Earth Syst. Sci. Data.15, 3673–3709. doi: 10.5194/essd-15-3673-2023
82
SimpsonE.CookeR. J.DaviesD. D. (1981). Measurement of protein degradation in leaves of Zea mays using [3H] acetic anhydride and tritiated water. Plant Physiol.67, 1214–1219. doi: 10.1104/pp.67.6.1214
83
SpreitzerR. J.PeddiS. R.SatagopanS. (2005). Phylogenetic engineering at an interface between large and small subunits imparts land-plant kinetic properties to algal Rubisco. Proc. Natl. Acad. Sci.102, 17225–17230 doi: 10.1073/pnas.0508042102
84
SpreitzerR. J.SalvucciM. E. (2002). Rubisco: Structure, regulatory interactions, and possibilities for a better enzyme. Annu. Rev. Plant Biol.53, 449–475. doi: 10.1146/annurev.arplant.53.100301.135233
85
StockeyR. G.ColeD. B.FarrellU. C.AgicH.BoagT. H.BrocksJ. J.et al. (2024). Sustained increases in atmospheric oxygen and marine productivity in the Neoproterozoic and Palaeozoic eras. Nat. Geosci.17, 667–674. doi: 10.1038/s41561-024-01479-1
86
StüekenE. E.BuickR.GuyB. M.KoehlerM. C. (2015). Isotopic evidence for biological nitrogen fixation by molybdenum-nitrogenase from 3.2 Gyr. Nature520, 666–U178. doi: 10.1038/nature14180
87
StüekenE. E.PellerinA.ThomazoC.JohnsonB. W.DuncansonS.SchoepferS. D. (2024). Marine biogeochemical nitrogen cycling through Earth’s history. Nat. Rev. Earth Environ.5, 732–747. doi: 10.1038/s43017-024-00591-5
88
TabitaF. R. (1999). Microbial ribulose 1,5-bisphosphate carboxylase/oxygenase: A different perspective. Photosynth. Res.60, 1–28. doi: 10.1023/a:1006211417981
89
TabitaF. R.HansonT. E.SatagopanS.WitteB. H.KreelN. E. (2008b). Phylogenetic and evolutionary relationships of RubisCO and the RubisCO-like proteins and the functional lessons provided by diverse molecular forms. Philos. Trans. R. Soc B-Biol. Sci.363, 2629–2640. doi: 10.1098/rstb.2008.0023
90
TabitaF. R.SatagopanS.HansonT. E.KreelN. E.ScottS. S. (2008a). Distinct form I, II, III, and IV Rubisco proteins from the three kingdoms of life provide clues about Rubisco evolution and structure/function relationships. J. Exp. Bot.59, 1515–1524. doi: 10.1093/jxb/erm361
91
TajikaE. (2003). Faint young Sun and the carbon cycle: implication for the Proterozoic global glaciations. Earth Planet. Sci. Lett.214, 443–453. doi: 10.1016/s0012-821x(03)00396-0
92
TiessenA.Pérez-RodríguezP.Delaye-ArredondoL. J. (2012). Mathematical modeling and comparison of protein size distribution in different plant, animal, fungal and microbial species reveals a negative correlation between protein size and protein number, thus providing insight into the evolution of proteomes. BMC Res. Notes5, 85. doi: 10.1186/1756-0500-5-85
93
TostevinR.MillsB. J. W. (2020). Reconciling proxy records and models of Earth’s oxygenation during the Neoproterozoic and Palaeozoic. Interface Focus10, 13. doi: 10.1098/rsfs.2019.0137
94
TyrrellT. (1999). The relative influences of nitrogen and phosphorus on oceanic primary production. Nature400, 525–531. doi: 10.1038/22941
95
ValegårdK.AndralojcP. J.HaslamR. P.PearceF. G.EriksenG. K.MadgwicknP. J.et al. (2018). Structural and functional analyses of Rubisco from arctic diatom species reveal unusual posttranslational modifications. J. Biol. Chem.293, 13033–13043. doi: 10.1074/jbc.RA118.003518
96
VisintiniN.MartinyA. C.FlombaumP. (2021). Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton abundances in the global ocean. Limnol. Oceanogr. Lett.6, 207–215. doi: 10.1002/lol2.10188
97
WagnerA. (2005). Energy constraints on the evolution of gene expression. Mol. Biol. Evol.22, 1365–1374. doi: 10.1093/molbev/msi126
98
WestberryT.BehrenfeldM. J.SiegelD. A.BossE. (2008). Carbon-based primary productivity modeling with vertically resolved photoacclimation. Glob. Biogeochem. Cycle22, GB2024. doi: 10.1029/2007gb003078
99
YeatesT. O.WheatleyN. M. (2017). Putting the RuBisCO pieces together Scientists find a way to build the major plant enzyme RuBisCO in bacteria. Science358, 1253–1254. doi: 10.1126/science.aar3107
100
ZhangJ. Z. (2000). Protein-length distributions for the three domains of life. Trends Genet.16, 107–109. doi: 10.1016/s0168-9525(99)01922-8
101
ZhongQ.XiaoX. A.QiuY. J.XuZ. Q.ChenC. Y.ChongB. C.et al. (2023). Protein posttranslational modifications in health and diseases: Functions, regulatory mechanisms, and therapeutic implications. Medcomm4, e261. doi: 10.1002/mco2.261
Summary
Keywords
elemental stoichiometry, evolution, nitrogen cycle, Phanerozoic Eon, photosynthesis, Prochlorococcus, Proterozoic Eon, ribulose-1,5-bisphosphate oxygenase/carboxylase
Citation
Thornton DCO (2025) Biogeochemistry of phytoplankton RuBisCO in the ocean. Front. Mar. Sci. 12:1653421. doi: 10.3389/fmars.2025.1653421
Received
25 June 2025
Accepted
11 September 2025
Published
25 September 2025
Volume
12 - 2025
Edited by
Sibel Bargu, Louisiana State University System, United States
Reviewed by
Hongfei Li, Zhejiang Ocean University, China; Patricia M Glibert, University of Maryland, College Park, United States; Caio Cesar-Ribeiro, Rio de Janeiro State University, Brazil
Updates

Check for updates
Copyright
© 2025 Thornton.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Daniel C. O. Thornton, dthornton@tamu.edu
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.