Abstract
The unicellular green alga Chlamydomonas reinhardtii is an excellent model organism to investigate many essential cellular processes in photosynthetic eukaryotes. Two commonly used background strains of Chlamydomonas are CC-1690 and CC-5325. CC-1690, also called 21gr, has been used for the Chlamydomonas genome project and several transcriptome analyses. CC-5325 is the background strain for the Chlamydomonas Library Project (CLiP). Photosynthetic performance in CC-5325 has not been evaluated in comparison with CC-1690. Additionally, CC-5325 is often considered to be cell-wall deficient, although detailed analysis is missing. The circadian rhythms in CC-5325 are also unclear. To fill these knowledge gaps and facilitate the use of the CLiP mutant library for various screens, we performed phenotypic comparisons between CC-1690 and CC-5325. Our results showed that CC-5325 grew faster heterotrophically in dark and equally well in mixotrophic liquid medium as compared to CC-1690. CC-5325 had lower photosynthetic efficiency and was more heat-sensitive than CC-1690. Furthermore, CC-5325 had an intact cell wall which had comparable integrity to that in CC-1690 but appeared to have reduced thickness. Additionally, CC-5325 could perform phototaxis, but could not maintain a sustained circadian rhythm of phototaxis as CC1690 did. Finally, in comparison to CC-1690, CC-5325 had longer cilia in the medium with acetate but slower swimming speed in the medium without nitrogen and acetate. Our results will be useful for researchers in the Chlamydomonas community to choose suitable background strains for mutant analysis and employ the CLiP mutant library for genome-wide mutant screens under appropriate conditions, especially in the areas of photosynthesis, thermotolerance, cell wall, and circadian rhythms.
Keywords: Chlamydomonas reinhardtii, CC-1690, CC-5325, Chlamydomonas Library Project (CLiP), photosynthesis, heat tolerance, cell wall, circadian rhythm of phototaxis
1. Introduction
The unicellular green alga Chlamydomonas reinhardtii (Chlamydomonas throughout) is a superior model organism to study important cellular processes in photosynthetic eukaryotes, including but not limited to: photosynthesis [1], cell cycle [2], lipid accumulation [3], stress responses [4,5], and biofuel production [6]. Chlamydomonas has several advantages that can be leveraged: (1) Vegetative cells are haploid, therefore mutant phenotypes present easily; (2) Cells proliferate quickly with 6~8 h doubling time under normal growth conditions; (3) Cells grow in light using photosynthesis but also in the dark with a supplied carbon source, allowing for maintenance of photosynthetic mutants in the dark; (4) All three genomes (nucleus, chloroplast, mitochondrion) of Chlamydomonas are sequenced and transformable, making it an excellent model to study inter-organellar communications [7,8,9]; (5) It has generally smaller gene families than land plants, simplifying genetic and functional analyses [8,10]; and (6) Many cellular processes in Chlamydomonas have similarities with land plants, making it an excellent model organism to identify novel genes/pathways with potential applications in crops.
Chlamydomonas has rich genetic and genomic resources, and its unicellular nature enables high-throughput approaches and functional genomics. Many transcriptomic analyses under various conditions exist in Chlamydomonas [11], including light stress [12], nutrient limitation [13,14,15], metal deficiency [16,17], day/night cycle [18,19], oxidative stress [20], and temperature stresses [21,22,23]. Additionally, several proteomics datasets for specific cellular structures are available, including chloroplasts [24], pyrenoids [25,26], mitochondria [27], and cilia [28,29]. Two powerful and efficient gene cloning approaches are well-established in Chlamydomonas: the Modular Cloning (MoClo) Toolkit (Golden Gate cloning kit for synthetic biology) [30] and the recombineering pipeline to clone large and complex genes [31]. Additionally, highly efficient insertional mutagenesis and CRISPR gene editing tools are well-optimized in Chlamydomonas [32,33,34,35,36]. Furthermore, a genome-saturating, indexed, mapped Chlamydomonas mutant library is available for both reverse and forward genetic screens (Chlamydomonas Library Project, CLiP, https://www.chlamylibrary.org/, accessed on 10 January 2022) [37,38]. The mutant library also allows for high-throughput, quantitative phenotyping of genome-wide mutants in pooled cultures under different conditions [37,38]. The mutant library is maintained and distributed by the Chlamydomonas Resource Center at the University of Minnesota, which also has several other collections of mutants in Chlamydomonas (https://www.chlamycollection.org/, accessed on 10 January 2022). These resources and tools accelerate research using Chlamydomonas as a model organism.
Two commonly used Chlamydomonas background strains are CC-1690 and CC-5325. CC in the strain names is short for Chlamydomonas Resource Center. CC-1690 is also called 21gr or Sager 21gr because it was from Dr. Ruth Sager at the Sidney Farber Cancer Institute in 1983 [39,40]. CC-1690 is mating type plus (mt+); it has been used for most of the cDNA libraries, subsequent Expressed Sequence Tags (ESTs), and the Chlamydomonas Genome Project [41]. Its genome has been sequenced multiple times by several laboratories [42,43]. It has also been used for several transcriptome analyses [12,23] and is an often-preferred background strain for photosynthesis- or stress-related experiments [25,44,45,46]. CC-5325 is relatively new, available to the Chlamydomonas community since 2014 [47], but has been frequently used because it is the background strain of the Chlamydomonas CLiP mutant Library [37,38]. CC-5325 is mating type minus (mt−) and it is the same as CC-4533, which was from an independent cryogenic storage copy. CC-5325 is also called CMJ030 (the 30th select Chlamydomonas strain from the laboratory of Dr. Martin Jonikas). CC-5325 was isolated from a cross between two parental strains: 4A− (cell wall intact) and D66+ (cell wall deficient). CC-5325 was chosen as the background strain of the CLiP mutant library because of its several desirable features [37,47]: it recovers well from cryogenic storage, has high electroporation and mating efficiencies, grows efficiently in heterotrophic and photoautotrophic conditions, has a functional carbon concentrating mechanism (CCM) and low clumping in liquid culture, swims normally, and has minimal adherence to glass. Since 2015, more than 500 scientific papers have been published using CC-5325 or mutants in its background, for example: [25,48,49,50,51,52,53]. Genome-wide mutant screens have been performed under diverse growth conditions by using the CLiP mutant library [38,54].
Despite its widespread use, some questions regarding CC-5325 remain. Although a genome-wide screen for mutants deficient in photosynthesis was performed by using the CLiP mutant library [38], detailed analysis of photosynthesis in CC-5325, the CLiP background, is rare. Chaux et al. reported some photosynthetic measurements in CC-5325 when characterizing a CLiP mutant with deficiency in the light reaction of photosynthesis [48]. However, photosynthesis in CC-5325 has not been thoroughly evaluated by comparing with other commonly used laboratory strains, such as CC-1690. This information will be helpful for employing the CLiP mutant library to study mutants deficient in photosynthesis. Additionally, because one parent strain of CC-5325, D66+, is cell-wall deficient, CC-5325 is often referred to as a cell-wall deficient strain and the Chlamydomonas Resource Center labels it with cw15 for cell wall deficiency. The name of cw15 comes from a cell-wall deficient mutant, in which the cell wall is absent or greatly reduced as compared to wildtype [55,56]. Consequently, to eliminate the effects of cell wall deficiency, researchers often cross CLiP mutants in the CC-5325 background to other cell-wall intact strains for further analysis. However, the integrity of the cell wall in CC-5325 has not been carefully investigated. Furthermore, among the 121 different conditions for genome-wide mutant screens using the Chlamydomonas CLiP mutant library, screens related to circadian rhythms are lacking [54]. It is unclear if CC-5325 displays normal circadian rhythms and how well it can maintain its circadian rhythms.
To address these questions mentioned above, we performed comparative phenotypic analyses in CC-1690 and CC-5325. Besides CC-1690 and CC-5325, there are also some other commonly used background strains, e.g., CC-124 and CC-125 [42,43]. We chose to compare CC-1690 and CC-5325 because of our interest in photosynthesis and heat responses, the available transcriptomes of CC-1690 in responses to light and high temperatures [12,23], and the genome-wide screens for mutants deficient in photosynthesis and heat responses by using the CLiP mutant library [38,54]. In this work, we focused on specific phenotypes related to photosynthesis, thermotolerance, circadian rhythm of phototaxis, and ciliary features in these two strains.
Our results showed that: (1) CC-5325 had lower photosynthetic efficiency than CC-1690, but it grew better than CC-1690 in dark conditions, suggesting CC-5325 is a suitable background strain for mutants deficient in photosynthesis; (2) CC-5325 was more heat-sensitive than CC-1690; (3) CC-5325 had an intact cell wall with comparable integrity to that in CC-1690, except that the cell wall in CC-5325 appeared thinner than that in CC-1690; (4) CC-1690 could maintain a robust circadian rhythm of phototaxis in either constant darkness or constant light, but CC-5325 could not; (5) CC-5325 had longer cilia in the medium with acetate but slower swimming speed in the medium without nitrogen and acetate than CC-1690. Our results will be useful for the Chlamydomonas community to better understand the differences between these two commonly used background strains, especially CC-5325 as the background of the CLiP mutant library.
2. Results
We grew Chlamydomonas strains CC-1690 and CC-5325 with tris-acetate-phosphate (TAP) medium in photobioreactors (PBRs) under well-controlled conditions. Under the same cultivation conditions in PBRs, these two strains had different cell shapes and sizes (Figure 1). CC-5325 had larger cell volume than CC-1690. Despite these morphological differences, both had comparable growth rates, as estimated by the rate of increased OD680 or chlorophyll content (Figure 2).
We next evaluated pigment content using algal cultures of CC-1690 and CC-5325 grown under well-controlled conditions in PBRs as mentioned above. CC-5325 had more chlorophyll and carotenoids per cell than CC-1690, but the differences were mainly due to the larger cell volume of CC-5325, as these two strains had no differences in pigments per cell volume (Figure 3a–d). Both strains had the same chlorophyll a/b ratio (Figure 3e). However, CC-1690 had a higher chlorophyll/carotenoid ratio than CC-5325, suggesting more carotenoids in CC-5325 than CC-1690 (Figure 3f).
To evaluate photosynthetic performance, we imaged room temperature chlorophyll fluorescence in algal spots grown on TAP plates using FluorCam, a chlorophyll fluorescence imager (Photon System Instruments). Both strains had indistinguishable PSII efficiency in dark and light on plates. However, CC-5325 had higher non-photochemical quenching (NPQ) than CC-1690 (Figure 4a). NPQ is one of the most important photoprotective pathways in photosynthetic organisms, helping dissipate excess light energy and protecting photosynthesis [57,58]. To investigate photosynthetic parameters further, we used liquid algal cultures grown in PBRs for detailed photosynthetic measurements. We performed 77 K chlorophyll fluorescence to check the relative antenna size of PSII and PSI [59]. CC-5325 had smaller PSII antenna size than CC-1690 (Figure 4b,c). By using a custom-designed kinetic spectrophotometer/fluorometer, we showed that CC-5325 had higher PSII maximum efficiency in dark-adapted cells but lower PSII operating efficiency under 400 μmol photons m−2 s−1 light than CC-1690 (Figure 4d). In response to the same light intensities, both strains had little difference in QA redox status, except at 200 μmol photons m−2 s−1 light (Figure 4e). By using the PSII% (relative PSII antenna size or percentage of light distributed to PSII) estimated from our 77 K chlorophyll fluorescence data and PSII efficiency measured by room temperature chlorophyll fluorescence, we quantified rates of linear electron flow (LEF) in response to light in these two strains (Figure 4f). CC-1690 had higher LEF than CC-5325 only at 400 μmol photons m−2 s−1 light. However, CC-5325 had much higher NPQ than CC-1690 under all three light intensities tested (Figure 4g). Additionally, by using a Hansatech Chlorolab 2 Clark-type oxygen electrode, we found CC-1690 had higher gross O2 evolution rates than CC-5325 in response to the same light intensities while both had no differences in respiration rates (Figure 4h,i). Our results suggested that CC-5325 had lower photosynthetic efficiency than CC-1690.
We harvested algal cultures of CC-1690 and CC-5325 from PBRs, spotted them on agar plates with either TAP (with acetate, the supplied carbon source) or TP (Tris-phosphate medium, without acetate) medium, and grew them under different light and temperature conditions in incubators (Figure 5). CC-5325 grew better than CC-1690 in the dark with acetate (Figure 5a). CC-1690 could grow in the dark but appeared to have slowed growth as compared to CC-5325. At 25 °C and 35 °C under 150 μmol photons m−2 s−1 light in incubators, the growth of CC-1690 and CC-5325 was indistinguishable (Figure 5b–e,g). To evaluate the thermotolerance of these two strains under well-controlled temperature conditions in liquid cultures, we exposed the algal cultures to 43 °C for 2 h in PBRs, then spotted the cells on agar plates to measure viability. CC-5325 barely survived the heat of 43 °C, while CC-1690 could survive 43 °C heat better than CC-5325 (Figure 5f). Our results showed that both strains grew well photoautotropically and mixotrophically, but CC-5325 grew better under heterotrophic conditions while CC-1690 had higher thermotolerance than CC-5325.
Thermotolerance is linked to cell wall properties [60,61], although how cell walls affect thermotolerance is unclear. Because CC-5325 is a progeny from a cross between 4A− (cell wall intact) and D66+ (cell wall deficient), CC-5325 is often thought to be cell wall deficient. We evaluated the cell walls of CC-1690 and CC-5325 based on freezing tolerance, a detergent assay, and cell wall imaging (Figure 6, Figure 7 and Figure 8). Cell-wall deficient strains are thought to recover better from liquid nitrogen freezing than cell-wall intact strains [62]. Both CC-1690 and CC-5325 recovered equally well from liquid nitrogen freezing (Figure 6). Next, we used a detergent assay to evaluate the integrity of the cell wall. Triton X-100 is a detergent that disrupts lipid-based membranes and causes cells without an intact cell wall to lyse. Strains without an intact cell wall or reduced cell wall integrity will have more damaged cells in the presence of Triton X-100, thus releasing more chlorophyll into the supernatant, which could be quantified using absorbance at 435 nm. We included the well-studied cell-wall-deficient line cw15 as a control for this assay [55,56]. Without Triton X-100 treatment, there was little chlorophyll released in all three lines (Figure 7a). With Triton X-100 treatment, all three lines had increased chlorophyll release, but CC-5325 had the least chlorophyll release while cw15 had the most, demonstrating the effectiveness of our assay. By using a Coulter Counter, we quantified the number of intact cells with and without Triton X-100 treatment (Figure 7b). While Triton X-100 did not affect CC-1690 or CC-5325, it damaged nearly all cells of cw15. Our freezing and detergent assays showed that CC-1690 and CC-5325 had comparable cell wall integrity.
To directly visualize and quantify the cell wall, we used the lectin Concanavalin A as a cell wall stain and Syto 13TM Green Fluorescent Nucleic Acid to label the nucleus, then imaged the cells using a ZEISS Elyra 7 super-resolution microscope (Figure 8). Our results showed that CC-1690 and CC-5325 had continuous and intact cell walls, while cw15 has discontinuous and broken cell walls, as expected for a cell-wall deficient mutant (Figure 8a–f). We calculated the total cell wall fluorescence intensity along each cell and normalized it to the cell perimeter length. The mean cell wall fluorescence intensity of CC-5325 was 84% of that in CC-1690, while that in cw15 was 17% relative to CC-1690 (Figure 8g). Based on our results of freezing recovery, detergent assays, and cell wall imaging, we conclude that CC-5325 is not as cell-wall deficient as previously described. Instead, CC-5325 has an intact cell wall with comparable integrity to CC-1690, but the cell wall in CC-5325 is possibly thinner than that of CC-1690.
Next, we investigated the circadian rhythm of phototaxis in CC-1690 and CC-5325 because both phototaxis and circadian rhythms are important for photosynthesis, thermotolerance, and cell growth [63,64,65,66]. Rhythmic phototaxis (swimming towards light) in constant light or darkness is a known circadian-regulated activity in Chlamydomonas and can serve as a read-out of clock function [67,68]. Circadian phototaxis was determined in day/night entrained cultures followed by either “constant darkness” or “constant light” free-running conditions (Figure 9a,b). Under constant dark conditions (Figure 9c–f), the darkness was interrupted every hour by a narrow, weak light beam directed through the culture for 15 min to allow for phototaxis measurements. In constant light conditions (Figure 9g–j), the white background light was turned off every hour for the 15 min of phototaxis measurement via the weak light beam. CC-1690 showed a robust circadian rhythm of phototaxis in both constant darkness and constant light. The period of the rhythm for CC-1690 was 27.65 ± 0.13 h in constant darkness (n = 22, mean ± SE) and 23.61 ± 0.16 h in constant light (n = 12, mean ± SE). However, in CC-5325 a sustained circadian rhythm of phototaxis could neither be detected in constant darkness nor in constant light. This inability was not simply due to an inability of the strain to undergo phototaxis (Figure 9d,h). When monitoring the phototaxis of CC-5325, there seemed a start of a rhythm in nearly all cultures tested in constant light and in most of the cultures tested in constant darkness but only for the first 12 to 36 h of constant conditions. The lack of a sustained circadian rhythm of phototaxis in CC-5325 was independent of cell densities (from 0.5 × 106 to 1.6 × 106 cells mL−1). Our results clearly demonstrated that CC-1690 could maintain a sustained circadian rhythm of phototaxis but CC-5325 could not.
Because cilia affect phototaxis, we further investigated cilia morphology and swimming speed. Cells were grown in either TAP (with acetate) or M-N (without acetate and nitrogen) medium with constant agitation and light. The M-N condition induces gamete formation and eliminates the effect of the cell cycle on percent ciliation and ciliary length. The percent of cells with cilia was comparable between CC-1690 and CC-5325 in both TAP and M-N medium (Figure 10a,b). However, CC-5325 had significantly longer cilia than CC-1690 in TAP medium; this trend might be also true for cells in M-N medium, but the differences were not significant (Figure 10c,d). We quantified swimming speed by creating traces of how far the cells moved during a 1 s exposure using a darkfield microscopy (Figure 10e,f). CC-1690 and CC-5325 had a similar swimming speed when grown in TAP. When grown in M-N, CC-1690 swam faster than CC-5325 (Figure 10g,h).
3. Discussion
We compared phenotypic differences between CC-1690 and CC-5325 by focusing on characteristics that are important for algal growth, including cell size, growth in liquid and on agar plates, photosynthesis, thermotolerance, cell wall integrity, circadian rhythm of phototaxis, ciliary percentage/length, and swimming speed. These two frequently used background strains displayed notable differences in these characteristics (Figure 11).
Both strains grew well in liquid medium and on agar plates under normal conditions (Figure 2 and Figure 5). CC-5325 grew more robustly in dark with acetate than CC-1690 (Figure 5a), making it a promising background strain for mutants deficient in photosynthesis, which are often maintained in dark conditions with supplied carbon source. The reduced photosynthetic efficiency in CC-5325 may be related to smaller PSII antenna size and/or increased NPQ as compared to CC-1690 (Figure 4c,g,h). The NPQ differences in these two strains may be relative, since NPQ from different strains may not be compared directly [69,70]. The increased NPQ in CC-5325 may be related to the reduced chlorophyll/carotenoid ratio (more carotenoids) (Figure 3f). Carotenoids have reported roles in photoprotection and one of the carotenoid pigments, zeaxanthin, has major roles in NPQ formation [4,71]. The bigger PSI peak of 77 K chlorophyll fluorescence in CC-5325 (Figure 4b,c) suggested it had larger PSI antenna size but reduced PSII antenna size as compared to CC-1690 [59]. CC-5325 has lower oxygen evolution rates than CC-1690 only under light intensity equal to or greater 200 μmol photons m−2 s−1 light (Figure 4h), which may explain the comparable growth rates of these two strains in PBRs under 100 μmol photons m−2 s−1 light (Figure 2). Although CC-5325 had lower photosynthetic efficiency than CC-1690, it does not compromise its suitability as a background strain to screen for mutants deficient in photosynthesis. Because photosynthetic efficiencies are relative, it is not necessary for a background strain to have the highest photosynthetic efficiency for generating and characterizing photosynthetic mutants; normal photosynthesis would be adequate. Previous research showed that CC-5325 has a functional carbon concentrating mechanism (CCM) and several CLiP mutants deficient in CCM have been identified by using CC-5325 as a background strain [25,49,72]. CLiP mutants deficient in photosynthetic light reactions were also identified and published [48,73]. Additionally, a genome-wide mutant screen has been performed to identify genes required for photosynthesis using the CLiP mutant library [38]. Based on our results and published literature, we believe CC-5325 is a suitable background strain to study photosynthesis in Chlamydomonas.
CC-5325 has been frequently reported as a cell-wall deficient line, like cw15 [37,50]. Our results from freezing and detergent assays showed that the cell wall integrity in CC-5325 was comparable to that in CC-1690 (Figure 6 and Figure 7). Cell wall imaging and quantification showed that CC-5325 had an intact cell wall, albeit possibly thinner cell wall than that in CC-1690 (Figure 8). The vegetative cell wall of Chlamydomonas is mainly comprised of proteins [74,75]. It is possible that these two strains have different quantities of cell wall proteins. There are three classifications of cell-wall-deficient mutants: (A) normal quality of cell walls that are unattached to the plasma membrane; (B) normal quality of cell walls that are attached to the plasma membrane; (C) minimal amount of cell walls [55]. The well-studied cell-wall-deficient mutant, cw15, belongs to classification C [55,75]. Our results showed that CC-5325 was clearly not a C-type cell-wall mutant. Chlamydomonas cell walls protect cells from environmental stresses [75], but the underlying mechanisms are unclear. Further investigation is needed to investigate if the reduced cell wall in CC-5325 contributes to some of its increased heat-sensitivity in comparison to CC-1690 (Figure 5f). Nevertheless, the cell wall integrity in CC-5325 is clearly much better than previously thought and its increased heat-sensitivity as compared to CC-1690 does not affect its use for studying heat responses. The CLiP mutant library has been used to screen for heat-sensitive mutants [54]. It may not be necessary to cross CLiP mutants on the background of CC-5325 to other cell-wall intact strains. Additionally, for research related to heat stress, it may generate conflicting results if the heat-sensitive CLiP mutants are crossed to other non-isogeneic lines (e.g., CC-1690) because different background strains may have different heat sensitivities, as demonstrated in our research. If crossing is needed, a potentially better option would be to cross CLiP mutants to the isogenic strain of CC-5325, which is CC-5155 (mt+). CC-5155 was generated by crossing CC-5325 (mt−) and CC-125 (mt+, 137c) and then backcrossing a mt+ progeny to CC-5325 five times [37].
The most surprising result may be the lack of a sustained circadian rhythm of phototaxis in CC-5325, although the strain can perform phototaxis (Figure 9). Our results clearly showed a sustained circadian rhythm of phototaxis in CC-1690, but CC-5325 only showed a brief rhythm of phototaxis in constant conditions for the first 12 to 36 h. This lack of a sustained circadian rhythm of phototaxis in CC-5325 was present under both constant light and constant darkness. A number of different circadian rhythms have been studied in Chlamydomonas [63,64], including phototaxis, chemotaxis, cell division, UV sensitivities, and others. How well Chlamydomonas can maintain these rhythms under various environmental conditions is less known. From our data, we cannot distinguish whether the lack of a sustained rhythm in CC-5325 is due to defects in the circadian oscillator mechanism, and thereby also affecting other circadian rhythms, or whether it is specifically due to the ability of the clock to regulate specific outputs such as phototaxis. If the former is true, the reduced photosynthetic efficiency and thermotolerance observed in CC-5325 may be related to its deficiency in maintaining circadian rhythms, as normal circadian rhythms are important for photosynthetic organisms to optimize photosynthesis and acclimate to stressful environments [65,66,76,77]. In CC-1690, constant darkness or light affected the period of the rhythm, with a longer period in constant darkness (27.65 h) than constant light (23.61 h). Differences in period length under different constant conditions have been observed in many organisms. For example, it was recently reported that the duckweed, Lemna gibba, showed an average period under conditions of constant darkness that was about 7 h longer than it was in constant light [78]. Transcriptome analysis in cultures under synchronizing versus free-running conditions may provide some insights about the mechanisms of the maintenance of circadian rhythms and about the basis for the observed differences between these two strains.
CC-1690 and CC-5325 also had some differences in cilia length and swimming speed (Figure 10). CC-5325 had longer cilia in TAP medium than CC-1690, consistent with the increased cell volume of CC-5325 in TAP as compared to CC-1690 (Figure 1), as ciliary length scales with cell size [79]. CC-5325 had slower swimming speed in M-N medium than CC-1690, which may be related to additional influences by positive gravitaxis (downward swimming in response to gravity), as we observed that CC-5325 gravitaxed and settled faster than CC-1690 in both TAP and M-N medium. This may be due to shape-based mechanical orientation of cells [80] rather than due to the large size of CC-5325 as another large-size strain, CC-125, does not exhibit positive gravitaxis. Additionally, the tendency to swim downward did not lead to increased clumping in CC-5325 in our algal cultivation in flasks or algal photobioreactors.
The underlying genetic causes of these phenotypic differences are of great interest. Comparison between genome sequences of CC-1690 and CC-5325 showed that these two strains had 117,059 small variants (include single nucleotide substitutions and small insertions and deletions) and 355 high impact small variants (that are predicted to cause a frameshift or premature translation stop) [37], providing potential candidates for phenotyping differences. To understand the genetic factors underlying the phenotypic differences observed between CC-1690 and CC-5325, we investigated the functional annotations of the nonsynonymous mutations in coding regions of CC-5325 (Supplementary Table S1). Li et al., 2016 reported the high confidence genomic differences that are unique to CC-5325 as compared to several other commonly used laboratory strains, including CC-1690. Among these, we identified the nonsynonymous genetic difference in coding regions of 40 genes in CC-5325, including codon changes, codon insertions/deletions, and frameshift mutations (Supplementary Table S1). Of the 40 genes containing nonsynonymous mutations, six have putative roles in regulation including three transcription factors, three transcriptional regulators, and a histidine kinase response regulator. About half of these genes have no or little function annotation. Notably, we did not observe nonsynonymous mutations in the coding regions of genes with known roles involved in photosynthesis, heat responses, cell wall biogenesis, circadian regulation, phototaxis, and cilia biology. Because CC-5325 had reduced PSII antenna size as compared to CC-1690 (Figure 4b,c), we also checked genes with known roles in state transition in Chlamydomonas. State transition is a process that reorganizes light-harvesting antenna systems and redistributes the light excitation energy between PSII and PSI to balance the energy input/consumption between the two photosystems [81]. The kinase STATE TRANSITION7 (STT7) in Chlamydomonas phosphorylates components of light-harvesting antenna complex II (LHCII), triggering the state transition [81]. Two phosphatases reverse the LHCII phosphorylation and the state transition: PPH and PBCP (Phosphoprotein Phosphatase 2C-related and PSII Core Phosphatase) [73]. However, none of these genes with known roles in state transition had nonsynonymous mutations in CC-5325. These results suggest that the observed phenotypic differences between the two background strains may be due to changes at the regulatory level rather than codon changes in the proteins with known functions involved in these biological processes. Further detailed analysis, such as quantitative trait locus (QTL) mapping, could be performed in the future to identify the causative genetic loci underpinning the phenotype differences observed between CC-1690 and CC-5325.
QTL mapping has been used frequently to identify causative genes related to a phenotype in land plants [82,83,84,85]. Such analysis is much less developed in Chlamydomonas. However, Chlamydomonas has several advantages for QTL mapping, e.g., high mating efficiency and easy mating procedure [86], fast growth on plates or in liquid, low cost in whole-genome sequencing [87,88], and abundant RNA-Seq datasets [11]. One round of mating in Chlamydomonas only takes about 2–3 weeks, from the mating process to identifiable progenies. Due to its unicellular nature, high throughput phenotyping tools can be applied to characterize progenies of Chlamydomonas efficiently, e.g., whole plate chlorophyll fluorescence imaging [89,90,91], growth quantification on plates using ImageJ [23], and circadian rhythm monitoring using an automated phototaxis machine [92]. The CLiP mutant library allows for both forward and reserve genetic screens and candidate genes identified by QTL in Chlamydomonas can be validated using available mutants in the CLiP mutant library [37]. If mutants deficient in some specific genes are unavailable in the CLiP mutant library or other mutant collections at the Chlamydomonas Resource Center, mutants disrupted in genes of interest could be generated by CRISPR-Cas9 approaches with high efficiency [34,35,36]. Recently, research conducted to phenotype and select progenies from a cross between two Chlamydomonas parental strains under different environmental conditions revealed possible selection-enriched genomic loci for improved stress adaptation and photosynthetic efficiency [93], paving the way for QTL mapping in Chlamydomonas.
4. Conclusions
We presented several distinct phenotypes between two commonly used laboratory background Chlamydomonas strains: CC-1690 (21gr) and CC-5325 (CLiP library background). Although CC-5325 has lower photosynthetic efficiency and thermotolerance than CC-1690 and these two strains have some differences in cilia, it does not compromise the use of CC-5325 and the CLiP mutant library to study and screen for mutants deficient in photosynthesis, heat responses, or cilia biology. Our results showed that CC-5325 had an intact cell wall with comparable integrity as compared to CC-1690, which will help reduce researchers’ concerns or confusion about its cell wall deficiency. The lack of a sustained circadian rhythm of phototaxis in CC-5325 does limit the use of the CLiP library to screen for mutants deficient in circadian rhythms. There may be no background strains that are perfect for all biological processes, but it is important to understand the phenotypic behaviors of one background strain when using it. Our research will help fill the knowledge gaps about CC-5325 and facilitate the use of the CLiP mutant library generated in this background. Finally, the rich genomic and genetic resources in Chlamydomonas will enable identification of responsible genes for phenotypes related to cell size, photosynthesis, thermotolerance, circadian rhythms, and cilia biology.
5. Materials and Methods
5.1. Strains and Culture Conditions
Chlamydomonas wildtype strain CC-1690 (also called 21gr, mt+) and CC-5325 (also called CMJ030, identical to CC-4533, mt−, CLiP library background) were ordered from the Chlamydomonas Resource Center (University of Minnesota). Algal cultures of these two strains were maintained in photobioreactors (PBRs) as described before [23]. The normal growth condition in PBRs was: 25 °C, Tris-acetate-phosphate (TAP) medium, constant 100 μmol photons m−2 s−1 light (50% red: 50% blue), constant bubbling with filtered air (0.04% CO2), and turbidostatic control by monitoring OD680 to supply fresh medium frequently and maintain cell density around 2 × 106 cells mL−1. Under the normal growth condition at 25 °C, OD680 is linearly proportional to both chlorophyll content and cell density. Fresh medium was added to the culture automatically by a peristaltic pump when the OD680 reached the defined maximum value to dilute the culture; the pump was stopped when the OD680 dropped to the defined minimum value. Algal cultures then grew up at approximately exponential rate to the defined maximum OD680 value before the next dilution cycle. Our OD680 range was sufficiently small that we expected minimal nutrient limitation during our experiment. Thus, the turbidostatic mode precisely controlled the growth condition. We calculated the doubling time or relative growth rates based on the exponential growth phase when the peristaltic pump was off. The doubling time and relative growth rates we referred to were based on the increase of OD680 or the total chlorophyll per mL culture. The growth rates measured by OD680 were consistent with medium consumption rates and cell number increase quantified by a cell counter. For the 43 °C heat treatment in PBRs, the PBR temperature was gradually increased from 25 °C to 43 °C within 30 min, and then the PBR temperature was maintained at 43 °C for 2 h. By the end of 2 h heating at 43 °C, algal cultures were harvested for spotting test to evaluate viability.
5.2. Algal Spotting Test
Algal spotting test was performed as described before with minor modifications [23]. CC-1690 and CC-5325 cultures harvested from PBRs were diluted to 1 × 105 cells mL−1 or 0.2 × 105 cells mL−1 (1:20 or 1:100 dilution) and 10 μL aliquots of the diluted cultures (about 1000 or 200 cells) were spotted on 1.5% TAP agar plates and grown in temperature-controlled incubators under the indicated conditions. For conditions with light, 150 μmol photons m−2 s−1 light was provided by white LED lights with indicated intensity. After 44-h growth under light in incubators, algal spots were imaged by a dissecting Leica microscope. The whole plates with algal spots were imaged again using a regular camera after 3-day-growth for visual representations. Due to the slow growth in darkness, the algal spots and the whole plates were images after 5 days and 10 days, respectively.
5.3. Pigment Measurements
Pigments were quantified as described before [23]. Three biological replicates of 1 mL of PBR cultures (around 2 × 106 cells mL−1) grown under normal condition of 25 °C were harvested, mixed with 2.5 μL of 2% Tween20 (Sigma, P9416-100ML) to help cell pelleting, centrifuged at 18,407× g at 4 °C to remove supernatant. Cell pellets were resuspended in 1 mL of HPLC grade methanol (100%, Sigma, 34860-4L-R), vortexed for 1 min, incubated in the dark for 5 min at 4 °C, and centrifuged at 15,000× g at 4 °C for 5 min. Top supernatant containing pigments was analyzed at 470, 652, 665 nm in a spectrophotometer (IMPLEN Nonophotometer P300) for carotenoids and chlorophyll a/b concentrations in μg mL−1 using the following equations: Chl a + Chl b = 22.12xA652 + 2.71xA665, Chl a = 16.29xA665 − 8.54xA652, and Chl b = 30.66xA652 − 13.58xA665 [94], and carotenoids = (1000xA470 − 2.86xChl a − 129.2xChl b)/221 [95].
5.4. Photosynthetic Measurements
CC-1690 and CC-5325 cultures grown at 25 °C in PBRs as mentioned above were used for all photosynthetic measurements. Algal cultures were spotted on TAP plates and grown under 150 μmol photons m−2 s−1 light at 25 °C in incubators for 4-day. Algal plates were dark-adapted for 20 min before chlorophyll fluorescence imaging at room temperature using FluorCam (Photo System Instruments). Photosynthetic measurements in liquid algal cultures were performed as described before [23]. 77 K chlorophyll fluorescence measurement were performed using an Ocean Optics spectrometer (Cat. No. OCEAN-HDX-XR, Ocean Insight, Seminole, FL, USA) and 430 nm excitation provided by light emitting diodes (LEDs). Spectral data were normalized to the PSII spectral maximum value at 686 nm and relative percentage of light distributed to PSII (or relative PSII antenna size, PSII%) was calculated using this formula: PSII% = normalized PSII peak/(normalized PSII peak + normalized PSI peak at 714 nm). Normalized PSII peak equals one. Room temperature chlorophyll fluorescence in liquid algal cultures were performed using a multi-wavelength kinetic spectrophotometer or fluorometer (measuring beam with 505 nm peak emission, measuring pulses of 100 μs duration) [23]. Aliquots of 2.5 mL algal cultures (around 12 μg chlorophyll) were sampled from PBRs, supplemented with 25 μL of fresh 0.5 M NaHCO3 in a fluorometry cuvette (C0918, Sigma-Aldrich, St. Louis, MO, USA) with constant stirring, and dark adapted with a 10-min exposure to far-red light (peak emission of 730 nm at ~35 μmol photons m−2 s−1) before chlorophyll fluorescence measurement in dark, and subsequent actinic light phases of 100, 200, 400 μmol photons m−2 s−1 light. The actinic light was provided by LED lights with maximal emission at 620 nm. Each light phase was about 7.5 min long. A saturating flash was applied at the end of each phase to get maximum chlorophyll fluorescence (Fm in dark or Fm′ in light). Photosynthetic parameters were calculated as described [70]. PSII efficiency (ΦPSII) was calculated as 1 − Fo/Fm and 1 − F′/Fm′ for dark-adapted and light-adapted algal cells, respectively. Fo and Fm are minimal and maximal chlorophyll fluorescence in dark-adapted algal cells. F′ and Fm′ are steady state and maximal chlorophyll fluorescence in light-adapted algal cells. QA redox status was calculated as 1 − qL = 1 − (Fq′/Fv′) × (Fo′/F′) = 1 − [(Fm′ − F′)/(Fm′ − Fo′)] × (Fo′/F′). qL is the fraction of open PSII centres and Fq′ is the photochemical quenching of fluorescence (Baker et al., 2007). Linear electron flow (LEF) was calculated using the formula: LEF = (actinic light) × (Qabsfs) × (PSII%) × (ΦPSII). Qabsfs is fraction of absorbed light, assuming 0.8. PSII% was calculated from 77 K chlorophyll fluorescence as mentioned above. Non-photochemical quenching, NPQ, was calculated as (Fm − Fm′)/Fm′. Oxygen evolution was measured using the Hansatech Chlorolab 2 based on a Clark-type oxygen electrode at room temperature as described [23]. Two-mL of cells (around 10 μg chlorophyll) supplemented with 20 μL of 0.5 M NaHCO3 were incubated in the dark for 10 min with stirring before the light phases of 100, 200, 400 μmol photons m−2 s−1 light. Each light lasted 5 min followed by 2 min dark. The rates of oxygen evolution and respiration were measured at the end of each light and dark phase, respectively.
5.5. Algal Cryogenic Freezing and Thawing
CC-1690 and CC-5325 cultures around a cell density of 2 × 106 cells mL−1 were harvested from PBRs grown at 25 °C and frozen in 10% cryoprotective agent (CPA, 1:10 volume ratio of 100% methanol and fresh TAP medium). Algal cultures of 450 μL was added to 450 μL of 10% CPA (final CPA concentration was 5%) in cryo-tubes, mixed gently, transferred to a CoolCell foam freezer container, incubated in a −80 °C freezer for 4 h, and finally stored in a liquid nitrogen freezer. During the thawing process, cryo-tubes with algal samples were thawed in a 37 °C water bath for 5 min and centrifuged at 1000× g for 5 min at room temperature to remove the supernatant. Fresh TAP medium of 900 μL was added to resuspend cell pellets, followed by dark storage of the cryo-tubes without agitation at room temperature overnight. The next day, the cryo-tubes were centrifuged again at 1000× g for 5 min at room temperature to remove the supernatant. Cell pellets were resuspended with 200 μL of fresh TAP medium and 10 μL of the resuspended algal cultures were used for the spotting test to evaluate viability as mentioned above.
5.6. Detergent Assay for Cell Wall Integrity
CC-1690 and CC-5325 cultures around a cell density of 2 × 106 cells mL−1 were harvested from PBRs grown at 25 °C as mentioned above. A cell-wall deficient strain, cw15 [55], was received from the Umen laboratory at the Donald Danforth Plant Science Center and used as a control. cw15 could not grow well in PBRs probably because its cell wall deficiency made it sensitive to the constant air bubbling in PBRs. So shaker cultures of cw15 around the similar cell density were used for the detergent assay. Growth condition of cw15 on the shaker was 25 °C, around 100 μmol photons m−2 s−1 light, and in TAP medium. One-mL algal cultures were used for chlorophyll quantification [94] and another 1-mL cultures (with 0.05% Triton X-100 or with TAP medium) were immediately vortexed vigorously for 30 s then incubated in dark for 10 min. Then, 500 μL of each sample was withdrawn and centrifuged at 13,000× g to remove cell debris. The absorbance of the supernatant was measured at 435 nm and normalized to chlorophyll contents. The number of intact cells were measured using a Coulter Counter (Multisizer 3, Beckman Counter, Brea, CA, USA).
5.7. Cell Wall Staining and Quantification
Ten mL cultures of CC-1690, CC-5325, and cw15 cells as mentioned above were collected and concentrated to 2 × 107 cells mL−1 by centrifugation at 1500× g for 5 min at room temperature. Cells were stained with Concanavalin A (ConA, Alexa Fluor® 594 conjugate) (100 μg mL−1, ThermoFisher Scientific) [96] and Syto 13 Green Fluorescent Nucleic Acid Stain (5 μM mL−1, ThermoFisher Scientific, Waltham, MA, USA) for 30 min at room temperature. Stained cells were washed first and then fixed in 4% paraformaldehyde (EM Science, Hatfield, PA, USA) and followed by 1X rinse in TAP medium. Fluorescence images were acquired using a 40X C-Aprochromat objective lens (numerical aperture 1.2) in apotome mode with a ZEISS Elyra 7 super-resolution microscope (ZEISS, Oberkochen, Germany). The 488 nm and 561 nm laser lines with BP 420–480 + 495–550 and BP 570–620 + LP 655 emission filters were used for Syto 13 and ConA, respectively in fast frame sequential mode at 50 ms exposure using dual pco.edge 4.2 sCMOS detectors (PCO AG, Kelheim, Germany). All two-dimensional (2D) images (with 5 phases) were acquired at 49 nm x-y pixel resolution and reconstructed using the SIM2 module and 2D+ processing with standard live sharpness in ZEN Black 3.0 SR FP2 software. For each strain, 100 cells were quantified by free hand drawing a line intensity profile along the cell wall. The fluorescence intensity of each cell wall periphery was normalized by its perimeter length.
5.8. Circadian Rhythm of Phototaxis
CC-1690 and CC-5325 were grown in 125-mL Erlenmeyer flasks containing 50-mL photoautotrophic Tris-phosphate (TP) minimum medium without acetate. Cultures were grown on a shaker at 17 to 19 °C under synchronizing 12 h light/12 h dark cycles. The light intensity during the light phase was about 20 μmol photons m−2 s−1. When cultures reached cell concentrations between 3.5 × 105 and 2.3 × 106 cells mL−1, culture samples were placed into small Petri dishes and their phototaxis was monitored at 20 °C as described [92] with the following modifications. A box around the phototaxis machine with a heating element and ventilators allowed the external temperature around the machine to be kept at a constant but slightly elevated temperature of 24 °C compared to the machine. Additionally, temperature recorders (Tempo Disc, BlueMaestro, The Woodlands, TX, USA) that fit into the Petri dish slots allowed for a more precise monitoring of the temperature the culture samples were exposed to. An algorithm as described before was used to analyze the phototaxis data for their periods [92]. Three independent experiments were conducted for each of the constant darkness and constant light conditions with 1 or 2 different cultures per strain per experiment and 3 to 4 replicate samples per culture.
5.9. Ciliary Measurements and Swimming Speed Assay
CC-5325 and CC-1690 cells were grown overnight with constant agitation and light at 100 μmol photons m−2 s−1 light in either liquid TAP or M-N (minimal medium without acetate and nitrogen) to induce gamete formation and eliminate the effects of the cell cycle on cilia length. A sample of each strain was fixed by mixing 1:1 with 2% glutaraldehyde for a final concentration of 1% glutaraldehyde. After fixation, cells were imaged with a DIC microscope. Images were analyzed in ImageJ/FIJI using the segmented line tool. Each cell has two cilia with the same length. One cilium per cell was traced from base to tip, then fit using the “Fit Spline” function [97]. The length of the line was then measured and converted to micrometers. Cells were only included in the measurement if both cilia were visible. The ciliation percentage was obtained by counting the number of cells with at least 1 visible cilium out of 100 cells.
For swimming speed assay, cells were allowed to settle for 15 min so that swimmers could be selected. The swimmers taken from the top of the cultures were diluted 1:10 in the same media they were grown in (either TAP or M-N). To give the cells appropriate room to swim between the slide and coverslip, a chamber was created on the slides using double stick tape. Cells were placed in the chamber and a coverslip was placed on top. Samples were imaged using a darkfield microscope set to a 1-s exposure. The resulting images show traces representing where and how far the cells swam during the 1-s exposure [98]. To estimate the swimming speed, the traces were measured in ImageJ/FIJI using the segmented line tool and the “Fit Spline” function. Superplots for ciliary length and swimming speed were created by measuring the mean of 3 biological replicates [99].
5.10. Genome Changes Unique to CC-5325
High confidence, unique, nonsynonymous genetic difference in coding regions of 40 genes in CC-5325 as compared to other commonly used background strains were identified using the published data in Li et al., 2016. To assess the functions of these genes, we compiled the MapMan and GO functional annotations as well as the phytozome descriptions and deflines. Putative transcription factors were identified using the Plant Transcription Factor Database (PTFDB) [100].
5.11. Statistical Analysis
A two-tailed t-test with unequal variance was used for statistical analysis. p > 0.05, not significant, or ns; *, 0.01 < p < 0.05; **, 0.001 < p <0.01; ***, p < 0.001.
Acknowledgments
We acknowledge imaging support from the Advanced Bioimaging Laboratory (RRID:SCR_018951) at the Danforth Plant Science Center and usage of the ZEISS Elyra 7 Super-Resolution Microscope acquired through an NSF Major Research Instrumentation grant (DBI-2018962). We would like to thank the Umen laboratory for the cw15 strain, Pete Lefebvre for information about strains in the Chlamydomonas Resource Center, Sorel Fitz-Gibbon for information about the unique genomic differences in CC-5325, Cooper Hostetler for providing feedback for the manuscript, Catherine Bailey for help with some of the pigment analysis, and William McHargue for initial help with algal cultivation in photobioreactors.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants11050585/s1. Supplementary Table S1. Annotated unique coding differences in CC-5325. To understand the possible genetic factors underlying the phenotypic differences observed between CC-1690 and CC-5325, we investigated the functional annotations of the nonsynonymous mutations (including codon changes, codon insertions/deletions, and frameshift mutations) in coding regions of CC-5325. These genomic differences are unique to CC-5325 as compared to several other commonly used laboratory strains, including CC-1690. The source data are from Li et al., 2016.
Author Contributions
R.Z. supervised the project. R.Z. wrote the manuscript with the help from S.J., B.M.B., N.Z. and K.J.C.; N.Z. performed the freezing test and detergent assay. L.P. performed room temperature chlorophyll fluorescence measurements and O2 evolution in liquid algal cultures. H.N. initiated the project, designed some of the spotting test, performed FluorCam imaging and 77 K chlorophyll fluorescence measurements. S.J. performed the experiments of circadian rhythm of phototaxis. M.X. maintained algal cultures in photobioreactors, performed spotting and thermotolerance tests. N.Z., H.N., M.X. quantified pigments. N.Z., A.K., K.J.C. performed cell wall imaging. B.M.B. and P.A. performed cilia measurements and swimming assays. E.M.M. performed the MapMan functional annotation of polymorphic genes in CC-5325. M.S. and D.A.N. performed initial investigation of circadian rhythms in algal cells. R.Z. and M.X. polished most of the figures. R.Z., S.J., E.M.M., K.J.C., D.A.N., B.M.B., L.P., H.N., A.K. and P.A. helped revise the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the start-up funding from the Donald Danforth Plant Science Center (DDPSC), the Department of Energy (DOE) Basic Energy Sciences (BES) Photosynthetic Systems (PS) grant (Award No. 0019464), and the DOE Biological & Environmental Research (BER) grant (Award No. 0020400) to R.Z, National Institutes of Health (NIH) National Institute of General Medical Sciences (NIGMS) R35 Maximizing Investigators’ Research Award (MIRA) grant (R35GM128702) to P.A.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are available in this article.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Minagawa J., Tokutsu R. Dynamic Regulation of Photosynthesis in Chlamydomonas Reinhardtii. Plant J. 2015;82:413–428. doi: 10.1111/tpj.12805. [DOI] [PubMed] [Google Scholar]
- 2.Cross F.R., Umen J.G. The Chlamydomonas Cell Cycle. Plant J. 2015;82:370–392. doi: 10.1111/tpj.12795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Li-Beisson Y., Beisson F., Riekhof W. Metabolism of Acyl-Lipids in Chlamydomonas Reinhardtii. Plant J. 2015;82:504–522. doi: 10.1111/tpj.12787. [DOI] [PubMed] [Google Scholar]
- 4.Erickson E., Wakao S., Niyogi K.K. Light Stress and Photoprotection in Chlamydomonas Reinhardtii. Plant J. 2015;82:449–465. doi: 10.1111/tpj.12825. [DOI] [PubMed] [Google Scholar]
- 5.Schroda M., Hemme D., Mühlhaus T. The Chlamydomonas Heat Stress Response. Plant J. 2015;82:466–480. doi: 10.1111/tpj.12816. [DOI] [PubMed] [Google Scholar]
- 6.Scranton M.A., Ostrand J.T., Fields F.J., Mayfield S.P. Chlamydomonas as a Model for Biofuels and Bio-Products Production. Plant J. 2015;82:523–531. doi: 10.1111/tpj.12780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Maul J.E., Lilly J.W., Cui L., dePamphilis C.W., Miller W., Harris E.H., Stern D.B. The Chlamydomonas Reinhardtii Plastid Chromosome. Plant Cell. 2002;14:2659–2679. doi: 10.1105/tpc.006155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Merchant S.S., Prochnik S.E., Vallon O., Harris E.H., Karpowicz S.J., Witman G.B., Terry A., Salamov A., Fritz-Laylin L.K., Maréchal-Drouard L., et al. The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions. Science. 2007;318:245–250. doi: 10.1126/science.1143609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gallaher S.D., Fitz-Gibbon S.T., Strenkert D., Purvine S.O., Pellegrini M., Merchant S.S. High-throughput sequencing of the chloroplast and mitochondrion of Chlamydomonas reinhardtii to generate improved de novo assemblies, analyze expression patterns and transcript speciation, and evaluate diversity among laboratory strains and wild isolates. Plant J. 2018;93:545–565. doi: 10.1111/tpj.13788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Karpowicz S.J., Prochnik S.E., Grossman A.R., Merchant S.S. The GreenCut2 Resource, a Phylogenomically Derived Inventory of Proteins Specific to the Plant Lineage. J. Biol. Chem. 2011;286:21427–21439. doi: 10.1074/jbc.M111.233734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Salomé P.A., Merchant S.S. Co-Expression Networks in Chlamydomonas Reveal Significant Rhythmicity in Batch Cultures and Empower Gene Function Discovery. Plant Cell. 2021;33:1058–1082. doi: 10.1093/plcell/koab042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mettler T., Mühlhaus T., Hemme D., Schöttler M.A., Rupprecht J., Idoine A., Veyel D., Pal S.K., Yaneva-Roder L., Winck F.V., et al. Systems Analysis of the Response of Photosynthesis, Metabolism, and Growth to an Increase in Irradiance in the Photosynthetic Model Organism Chlamydomonas reinhardtii. Plant Cell. 2014;26:2310–2350. doi: 10.1105/tpc.114.124537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.González-Ballester D., Casero D., Cokus S., Pellegrini M., Merchant S.S., Grossman A.R. RNA-Seq Analysis of Sulfur-Deprived Chlamydomonas Cells Reveals Aspects of Acclimation Critical for Cell Survival. Plant Cell. 2010;22:2058–2084. doi: 10.1105/tpc.109.071167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Schmollinger S., Mühlhaus T., Boyle N.R., Blaby I.K., Casero D., Mettler T., Moseley J.L., Kropat J., Sommer F., Strenkert D., et al. Nitrogen-Sparing Mechanisms in Chlamydomonas Affect the Transcriptome, the Proteome, and Photosynthetic Metabolism. Plant Cell. 2014;26:1410–1435. doi: 10.1105/tpc.113.122523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Park J.-J., Wang H., Gargouri M., Deshpande R.R., Skepper J.N., Holguin F.O., Juergens M.T., Shachar-Hill Y., Hicks L.M., Gang D.R. The Response of Chlamydomonas Reinhardtii to Nitrogen Deprivation: A Systems Biology Analysis. Plant J. 2015;81:611–624. doi: 10.1111/tpj.12747. [DOI] [PubMed] [Google Scholar]
- 16.Urzica E.I., Casero D., Yamasaki H., Hsieh S.I., Adler L.N., Karpowicz S.J., Blaby-Haas C.E., Clarke S.G., Loo J.A., Pellegrini M., et al. Systems and Trans-System Level Analysis Identifies Conserved Iron Deficiency Responses in the Plant Lineage. Plant Cell. 2012;24:3921–3948. doi: 10.1105/tpc.112.102491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Blaby-Haas C.E., Castruita M., Fitz-Gibbon S.T., Kropat J., Merchant S.S. Ni induces the CRR1-dependent regulon revealing overlap and distinction between hypoxia and Cu deficiency responses in Chlamydomonas reinhardtii. Metallomics. 2016;8:679–691. doi: 10.1039/C6MT00063K. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zones J.M., Blaby I.K., Merchant S.S., Umen J.G. High-Resolution Profiling of a Synchronized Diurnal Transcriptome from Chlamydomonas Reinhardtii Reveals Continuous Cell and Metabolic Differentiation. Plant Cell. 2015;27:2743–2769. doi: 10.1105/tpc.15.00498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Strenkert D., Schmollinger S., Gallaher S.D., Salomé P.A., Purvine S.O., Nicora C.D., Mettler-Altmann T., Soubeyrand E., Weber A., Lipton M.S., et al. Multiomics resolution of molecular events during a day in the life of Chlamydomonas. Proc. Natl. Acad. Sci. USA. 2019;116:2374–2383. doi: 10.1073/pnas.1815238116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Blaby I.K., Blaby-Haas C.E., Pérez-Pérez M.E., Schmollinger S., Fitz-Gibbon S., Lemaire S.D., Merchant S.S. Genome-Wide Analysis on Chlamydomonas Reinhardtii Reveals the Impact of Hydrogen Peroxide on Protein Stress Responses and Overlap with Other Stress Transcriptomes. Plant J. 2015;84:974–988. doi: 10.1111/tpj.13053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Légeret B., Schulz-Raffelt M., Nguyen H.M., Auroy P., Beisson F., Peltier G., Blanc G., Li-Beisson Y. Lipidomic and Transcriptomic Analyses of Chlamydomonas Reinhardtii under Heat Stress Unveil a Direct Route for the Conversion of Membrane Lipids into Storage Lipids. Plant Cell Environ. 2016;39:834–847. doi: 10.1111/pce.12656. [DOI] [PubMed] [Google Scholar]
- 22.Li L., Peng H., Tan S., Zhou J., Fang Z., Hu Z., Gao L., Li T., Zhang W., Chen L. Effects of early cold stress on gene expression in Chlamydomonas reinhardtii. Genomics. 2020;112:1128–1138. doi: 10.1016/j.ygeno.2019.06.027. [DOI] [PubMed] [Google Scholar]
- 23.Zhang N., Mattoon E.M., McHargue W., Venn B., Zimmer D., Pecani K., Jeong J., Anderson C.M., Chen C., Berry J.C., et al. Systems-wide analysis revealed shared and unique responses to moderate and acute high temperatures in the green alga Chlamydomonas reinhardtii. bioRxiv. 2021 doi: 10.1101/2021.08.17.456552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Terashima M., Specht M., Hippler M. The Chloroplast Proteome: A Survey from the Chlamydomonas Reinhardtii Perspective with a Focus on Distinctive Features. Curr. Genet. 2011;57:151–168. doi: 10.1007/s00294-011-0339-1. [DOI] [PubMed] [Google Scholar]
- 25.Mackinder L.C.M., Meyer M.T., Mettler-Altmann T., Chen V.K., Mitchell M., Caspari O., Rosenzweig E.S.F., Pallesen L., Reeves G., Itakura A., et al. A repeat protein links Rubisco to form the eukaryotic carbon-concentrating organelle. Proc. Natl. Acad. Sci. USA. 2016;113:5958–5963. doi: 10.1073/pnas.1522866113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zhan Y., Marchand C., Maes A., Mauries A., Sun Y., Dhaliwal J., Uniacke J., Arragain S., Jiang H., Gold N.D., et al. Pyrenoid functions revealed by proteomics in Chlamydomonas reinhardtii. PLoS ONE. 2018;13:e0185039. doi: 10.1371/journal.pone.0185039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Atteia A., Adrait A., Brugière S., Tardif M., van Lis R., Deusch O., Dagan T., Kuhn L., Gontero B., Martin W., et al. A Proteomic Survey of Chlamydomonas reinhardtii Mitochondria Sheds New Light on the Metabolic Plasticity of the Organelle and on the Nature of the alpha-Proteobacterial Mitochondrial Ancestor. Mol. Biol. Evol. 2009;26:1533–1548. doi: 10.1093/molbev/msp068. [DOI] [PubMed] [Google Scholar]
- 28.Keller L.C., Romijn E.P., Zamora I., Yates J.R., Marshall W.F. Proteomic Analysis of Isolated Chlamydomonas Centrioles Reveals Orthologs of Ciliary-Disease Genes. Curr. Biol. 2005;15:1090–1098. doi: 10.1016/j.cub.2005.05.024. [DOI] [PubMed] [Google Scholar]
- 29.Pazour G.J., Agrin N., Leszyk J., Witman G.B. Proteomic Analysis of a Eukaryotic Cilium. J. Cell Biol. 2005;170:103–113. doi: 10.1083/jcb.200504008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Crozet P., Navarro F.J., Willmund F., Mehrshahi P., Bakowski K., Lauersen K., Pérez-Pérez M.-E., Auroy P., Rovira A.G., Sauret-Gueto S., et al. Birth of a Photosynthetic Chassis: A MoClo Toolkit Enabling Synthetic Biology in the Microalga Chlamydomonas reinhardtii. ACS Synth. Biol. 2018;7:2074–2086. doi: 10.1021/acssynbio.8b00251. [DOI] [PubMed] [Google Scholar]
- 31.Emrich-Mills T.Z., Yates G., Barrett J., Girr P., Grouneva I., Lau C.S., Walker C.E., Kwok T.K., Davey J.W., Johnson M.P., et al. A Recombineering Pipeline to Clone Large and Complex Genes in Chlamydomonas. Plant Cell. 2021;33:1161–1181. doi: 10.1093/plcell/koab024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Shimogawara K., Fujiwara S., Grossman A., Usuda H. High-Efficiency Transformation of Chlamydomonas reinhardtii by Electroporation. Genetics. 1998;148:1821–1828. doi: 10.1093/genetics/148.4.1821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wang L., Yang L., Wen X., Chen Z., Liang Q., Li J., Wang W. Rapid and High Efficiency Transformation of Chlamydomonas Reinhardtii by Square-Wave Electroporation. Biosci. Rep. 2019;39:BSR20181210. doi: 10.1042/BSR20181210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Greiner A., Kelterborn S., Evers H., Kreimer G., Sizova I., Hegemann P. Targeting of Photoreceptor Genes in Chlamydomonas Reinhardtii via Zinc-Finger Nucleases and CRISPR/Cas9. Plant Cell. 2017;29:2498–2518. doi: 10.1105/tpc.17.00659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Dhokane D., Bhadra B., Dasgupta S. CRISPR Based Targeted Genome Editing of Chlamydomonas Reinhardtii Using Programmed Cas9-GRNA Ribonucleoprotein. Mol. Biol. Rep. 2020;47:8747–8755. doi: 10.1007/s11033-020-05922-5. [DOI] [PubMed] [Google Scholar]
- 36.Picariello T., Hou Y., Kubo T., McNeill N.A., Yanagisawa H.-A., Oda T., Witman G.B. TIM, a Targeted Insertional Mutagenesis Method Utilizing CRISPR/Cas9 in Chlamydomonas Reinhardtii. PLoS ONE. 2020;15:e0232594. doi: 10.1371/journal.pone.0232594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Li X., Zhang R., Patena W., Gang S.S., Blum S.R., Ivanova N., Yue R., Robertson J.M., Lefebvre P.A., Fitz-Gibbon S.T., et al. An Indexed, Mapped Mutant Library Enables Reverse Genetics Studies of Biological Processes in Chlamydomonas Reinhardtii. Plant Cell. 2016;28:367–387. doi: 10.1105/tpc.15.00465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Li X., Fauser F., Jinkerson R.E., Saroussi S., Meyer M.T., Ivanova N., Robertson J.M., Yue R., Zhang R., Vilarrasa-Blasi J., et al. A Genome-Wide Algal Mutant Library and Functional Screen Identifies Genes Required for Eukaryotic Photosynthesis. Nat. Genet. 2019;51:627–635. doi: 10.1038/s41588-019-0370-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sager R. Inheritance in the green alga Chlamydomonas reinhardtii. Genetics. 1955;40:476–489. doi: 10.1093/genetics/40.4.476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pröschold T., Harris E.H., Coleman A.W. Portrait of a Species: Chlamydomonas Reinhardtii. Genetics. 2005;170:1601–1610. doi: 10.1534/genetics.105.044503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Shrager J., Hauser C., Chang C.-W., Harris E.H., Davies J., McDermott J., Tamse R., Zhang Z., Grossman A.R. Chlamydomonas Reinhardtii Genome Project. A Guide to the Generation and Use of the CDNA Information. Plant Physiol. 2003;131:401–408. doi: 10.1104/pp.016899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gallaher S.D., Fitz-Gibbon S.T., Glaesener A.G., Pellegrini M., Merchant S.S. Chlamydomonas Genome Resource for Laboratory Strains Reveals a Mosaic of Sequence Variation, Identifies True Strain Histories, and Enables Strain-Specific Studies. Plant Cell. 2015;27:2335–2352. doi: 10.1105/tpc.15.00508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Flowers J.M., Hazzouri K.M., Pham G.M., Rosas U., Bahmani T., Khraiwesh B., Nelson D.R., Jijakli K., Abdrabu R., Harris E.H., et al. Whole-Genome Resequencing Reveals Extensive Natural Variation in the Model Green Alga Chlamydomonas Reinhardtii. Plant Cell. 2015;27:2353–2369. doi: 10.1105/tpc.15.00492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yamano T., Toyokawa C., Shimamura D., Matsuoka T., Fukuzawa H. CO2-dependent migration and relocation of LCIB, a pyrenoid-peripheral protein in Chlamydomonas reinhardtii. Plant Physiol. 2021;188:1081–1094. doi: 10.1093/plphys/kiab528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Zachleder V., Ivanov I., Vítová M., Bišová K. Cell Cycle Arrest by Supraoptimal Temperature in the Alga Chlamydomonas reinhardtii. Cells. 2019;8:1237. doi: 10.3390/cells8101237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Ivanov I.N., Zachleder V., Vítová M., Barbosa M.J., Bišová K. Starch Production in Chlamydomonas Reinhardtii through Supraoptimal Temperature in a Pilot-Scale Photobioreactor. Cells. 2021;10:1084. doi: 10.3390/cells10051084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Zhang R., Patena W., Armbruster U., Gang S.S., Blum S.R., Jonikas M.C. High-Throughput Genotyping of Green Algal Mutants Reveals Random Distribution of Mutagenic Insertion Sites and Endonucleolytic Cleavage of Transforming DNA. Plant Cell. 2014;26:1398–1409. doi: 10.1105/tpc.114.124099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Chaux F., Burlacot A., Mekhalfi M., Auroy P., Blangy S., Richaud P., Peltier G. Flavodiiron Proteins Promote Fast and Transient O2 Photoreduction in Chlamydomonas. Plant Physiol. 2017;174:1825–1836. doi: 10.1104/pp.17.00421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Itakura A.K., Chan K.X., Atkinson N., Pallesen L., Wang L., Reeves G., Patena W., Caspari O., Roth R., Goodenough U., et al. A Rubisco-Binding Protein Is Required for Normal Pyrenoid Number and Starch Sheath Morphology in Chlamydomonas Reinhardtii. Proc. Natl. Acad. Sci. USA. 2019;116:18445–18454. doi: 10.1073/pnas.1904587116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mukherjee A., Lau C.S., Walker C.E., Rai A.K., Prejean C.I., Yates G., Emrich-Mills T., Lemoine S.G., Vinyard D.J., Mackinder L.C.M., et al. Thylakoid Localized Bestrophin-like Proteins Are Essential for the CO2 Concentrating Mechanism of Chlamydomonas Reinhardtii. Proc. Natl. Acad. Sci. USA. 2019;116:16915–16920. doi: 10.1073/pnas.1909706116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Perlaza K., Toutkoushian H., Boone M., Lam M., Iwai M., Jonikas M.C., Walter P., Ramundo S. The Mars1 Kinase Confers Photoprotection through Signaling in the Chloroplast Unfolded Protein Response. eLife. 2019;8:e49577. doi: 10.7554/eLife.49577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.He S., Chou H.-T., Matthies D., Wunder T., Meyer M.T., Atkinson N., Martinez-Sanchez A., Jeffrey P.D., Port S.A., Patena W., et al. The Structural Basis of Rubisco Phase Separation in the Pyrenoid. Nat. Plants. 2020;6:1480–1490. doi: 10.1038/s41477-020-00811-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Amiya R., Shapira M. ZnJ6 Is a Thylakoid Membrane DnaJ-Like Chaperone with Oxidizing Activity in Chlamydomonas Reinhardtii. Int. J. Mol. Sci. 2021;22:1136. doi: 10.3390/ijms22031136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Vilarrasa-Blasi J., Fauser F., Onishi M., Ramundo S., Patena W., Millican M., Osaki J., Philp C., Nemeth M., Salomé P.A., et al. Systematic characterization of gene function in a photosynthetic organism. bioRxiv. 2020 doi: 10.1101/2020.12.11.420950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Davies D.R., Plaskitt A. Genetical and Structural Analyses of Cell-Wall Formation in Chlamydomonas Reinhardtii. Genet. Res. 1971;17:33–43. doi: 10.1017/S0016672300012015. [DOI] [Google Scholar]
- 56.Hyams J., Davies D.R. The induction and characterisation of cell wall mutants of Chlamydomonas reinhardtii. Mutat. Res./Fundam. Mol. Mech. Mutagenesis. 1972;14:381–389. doi: 10.1016/0027-5107(72)90135-2. [DOI] [Google Scholar]
- 57.Dietz K.-J. Efficient high light acclimation involves rapid processes at multiple mechanistic levels. J. Exp. Bot. 2015;66:2401–2414. doi: 10.1093/jxb/eru505. [DOI] [PubMed] [Google Scholar]
- 58.Müller P., Li X.-P., Niyogi K.K. Non-Photochemical Quenching. A Response to Excess Light Energy. Plant Physiol. 2001;125:1558–1566. doi: 10.1104/pp.125.4.1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Lamb J.J., Røkke G., Hohmann-Marriott M.F. Chlorophyll Fluorescence Emission Spectroscopy of Oxygenic Organisms at 77 K. Photosynthetica. 2018;56:105–124. doi: 10.1007/s11099-018-0791-y. [DOI] [Google Scholar]
- 60.Xu Q., Xu X., Shi Y., Xu J., Huang B. Transgenic Tobacco Plants Overexpressing a Grass PpEXP1 Gene Exhibit Enhanced Tolerance to Heat Stress. PLoS ONE. 2014;9:e100792. doi: 10.1371/journal.pone.0100792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Gall H.L., Philippe F., Domon J.-M., Gillet F., Pelloux J., Rayon C. Cell Wall Metabolism in Response to Abiotic Stress. Plants. 2015;4:112–166. doi: 10.3390/plants4010112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Harris E.H., Stern D.B., Witman G.B., editors. The Chlamydomonas Sourcebook. 2nd ed. Academic Press; London, UK: 2009. Chapter 8—Chlamydomonas in the Laboratory; pp. 241–302. [Google Scholar]
- 63.Matsuo T., Ishiura M. New Insights into the Circadian Clock in Chlamydomonas. Int. Rev. Cell Mol. Biol. 2010;280:281–314. doi: 10.1016/s1937-6448(10)80006-1. [DOI] [PubMed] [Google Scholar]
- 64.Schulze T., Prager K., Dathe H., Kelm J., Kiessling P., Mittag M. How the Green Alga Chlamydomonas Reinhardtii Keeps Time. Protoplasma. 2010;244:3–14. doi: 10.1007/s00709-010-0113-0. [DOI] [PubMed] [Google Scholar]
- 65.Dodd A.N., Belbin F.E., Frank A., Webb A.A.R. Interactions between circadian clocks and photosynthesis for the temporal and spatial coordination of metabolism. Front. Plant Sci. 2015;6:245. doi: 10.3389/fpls.2015.00245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Blair E.J., Bonnot T., Hummel M., Hay E., Marzolino J.M., Quijada I.A., Nagel D.H. Contribution of Time of Day and the Circadian Clock to the Heat Stress Responsive Transcriptome in Arabidopsis. Sci. Rep. 2019;9:4814. doi: 10.1038/s41598-019-41234-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kondo T., Johnson C.H., Hastings J.W. Action Spectrum for Resetting the Circadian Phototaxis Rhythm in the Cw15 Strain of Chlamydomonas: I. Cells in Darkness. Plant Physiol. 1991;95:197–205. doi: 10.1104/pp.95.1.197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mittag M., Kiaulehn S., Johnson C.H. The Circadian Clock in Chlamydomonas Reinhardtii. What Is It for? What Is It Similar To? Plant Physiol. 2005;137:399–409. doi: 10.1104/pp.104.052415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Maxwell K., Johnson G.N. Chlorophyll fluorescence—A practical guide. J. Exp. Bot. 2000;51:659–668. doi: 10.1093/jexbot/51.345.659. [DOI] [PubMed] [Google Scholar]
- 70.Baker N.R., Harbinson J., Kramer D.M. Determining the Limitations and Regulation of Photosynthetic Energy Transduction in Leaves. Plant Cell Environ. 2007;30:1107–1125. doi: 10.1111/j.1365-3040.2007.01680.x. [DOI] [PubMed] [Google Scholar]
- 71.Baroli I., Gutman B.L., Ledford H.K., Shin J.W., Chin B.L., Havaux M., Niyogi K.K. Photo-Oxidative Stress in a Xanthophyll-Deficient Mutant of Chlamydomonas. J. Biol. Chem. 2004;279:6337–6344. doi: 10.1074/jbc.M312919200. [DOI] [PubMed] [Google Scholar]
- 72.Meyer M.T., Itakura A.K., Patena W., Wang L., He S., Emrich-Mills T., Lau C.S., Yates G., Mackinder L.C.M., Jonikas M.C. Assembly of the algal CO 2 -fixing organelle, the pyrenoid, is guided by a Rubisco-binding motif. Sci. Adv. 2020;6:eabd2408. doi: 10.1126/sciadv.abd2408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Cariti F., Chazaux M., Lefebvre-Legendre L., Longoni P., Ghysels B., Johnson X., Goldschmidt-Clermont M. Regulation of Light Harvesting in Chlamydomonas Reinhardtii Two Protein Phosphatases Are Involved in State Transitions. Plant Physiol. 2020;183:1749–1764. doi: 10.1104/pp.20.00384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Lee J.-H., Waffenschmidt S., Small L., Goodenough U. Between-Species Analysis of Short-Repeat Modules in Cell Wall and Sex-Related Hydroxyproline-Rich Glycoproteins of Chlamydomonas. Plant Physiol. 2007;144:1813–1826. doi: 10.1104/pp.107.100891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Cronmiller E., Toor D., Shao N.C., Kariyawasam T., Wang M.H., Lee J.-H. Cell wall integrity signaling regulates cell wall-related gene expression in Chlamydomonas reinhardtii. Sci. Rep. 2019;9:12204. doi: 10.1038/s41598-019-48523-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.García-Plazaola J.I., Fernández-Marín B., Ferrio J.P., Alday J.G., Hoch G., Landais D., Milcu A., Tissue D.T., Voltas J., Gessler A., et al. Endogenous Circadian Rhythms in Pigment Composition Induce Changes in Photochemical Efficiency in Plant Canopies. Plant Cell Environ. 2017;40:1153–1162. doi: 10.1111/pce.12909. [DOI] [PubMed] [Google Scholar]
- 77.Morales A., Kaiser E. Photosynthetic Acclimation to Fluctuating Irradiance in Plants. Front. Plant Sci. 2020;11:268. doi: 10.3389/fpls.2020.00268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Muranaka T., Oyama T. Heterogeneity of cellular circadian clocks in intact plants and its correction under light-dark cycles. Sci. Adv. 2016;2:e1600500. doi: 10.1126/sciadv.1600500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Bauer D., Ishikawa H., Wemmer K.A., Hendel N.L., Kondev J., Marshall W.F. Analysis of biological noise in the flagellar length control system. iScience. 2021;24:102354. doi: 10.1016/j.isci.2021.102354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Roberts A.M. Mechanisms of Gravitaxis in Chlamydomonas. Biol. Bull. 2006;210:78–80. doi: 10.2307/4134597. [DOI] [PubMed] [Google Scholar]
- 81.Depège N., Bellafiore S., Rochaix J.-D. Role of Chloroplast Protein Kinase Stt7 in LHCII Phosphorylation and State Transition in Chlamydomonas. Science. 2003;299:1572–1575. doi: 10.1126/science.1081397. [DOI] [PubMed] [Google Scholar]
- 82.Xu Y., Li P., Yang Z., Xu C. Genetic mapping of quantitative trait loci in crops. Crop J. 2017;5:175–184. doi: 10.1016/j.cj.2016.06.003. [DOI] [Google Scholar]
- 83.Camargo A.V., Mackay I., Mott R., Han J., Doonan J.H., Askew K., Corke F., Williams K., Bentley A.R. Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population. Front. Plant Sci. 2018;9:887. doi: 10.3389/fpls.2018.00887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wu J., Zhao Q., Zhang L., Li S., Ma Y., Pan L., Lin H., Wu G., Yuan H., Yu Y., et al. QTL Mapping of Fiber-Related Traits Based on a High-Density Genetic Map in Flax (Linum usitatissimum L.) Front. Plant Sci. 2018;9:885. doi: 10.3389/fpls.2018.00885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Wang X., Chen Z., Li Q., Zhang J., Liu S., Duan D. High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta) Sci. Rep. 2018;8:13591. doi: 10.1038/s41598-018-32015-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Jiang X., Stern D. Mating and Tetrad Separation of Chlamydomonas reinhardtii for Genetic Analysis. J. Vis. Exp. 2009:1274. doi: 10.3791/1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Dutcher S.K., Li L., Lin H., Meyer L., Giddings T.H., Kwan A.L., Lewis B.L. Whole-Genome Sequencing to Identify Mutants and Polymorphisms in Chlamydomonas reinhardtii. G3 Genes|Genomes|Genet. 2012;2:15–22. doi: 10.1534/g3.111.000919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Wakao S., Shih P.M., Guan K., Schackwitz W., Ye J., Patel D., Shih R.M., Dent R.M., Chovatia M., Sharma A., et al. Discovery of Photosynthesis Genes through Whole-Genome Sequencing of Acetate-Requiring Mutants of Chlamydomonas Reinhardtii. PLoS Genet. 2021;17:e1009725. doi: 10.1371/journal.pgen.1009725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Holub O., Seufferheld M.J., Gohlke C., Heiss G.J., Clegg R.M. Fluorescence Lifetime Imaging Microscopy of Chlamydomonas Reinhardtii: Non-Photochemical Quenching Mutants and the Effect of Photosynthetic Inhibitors on the Slow Chlorophyll Fluorescence Transient. J. Microsc. 2007;226:90–120. doi: 10.1111/j.1365-2818.2007.01763.x. [DOI] [PubMed] [Google Scholar]
- 90.Massoz S., Hanikenne M., Bailleul B., Coosemans N., Radoux M., Miranda-Astudillo H., Cardol P., LaRosa V., Remacle C. In vivo chlorophyll fluorescence screening allows the isolation of a Chlamydomonas mutant defective for NDUFAF3, an assembly factor involved in mitochondrial complex I assembly. Plant J. 2017;92:584–595. doi: 10.1111/tpj.13677. [DOI] [PubMed] [Google Scholar]
- 91.Rühle T., Reiter B., Leister D. Chlorophyll Fluorescence Video Imaging: A Versatile Tool for Identifying Factors Related to Photosynthesis. Front. Plant Sci. 2018;9:55. doi: 10.3389/fpls.2018.00055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Gaskill C., Forbes-Stovall J., Kessler B., Young M., Rinehart C.A., Jacobshagen S. Improved Automated Monitoring and New Analysis Algorithm for Circadian Phototaxis Rhythms in Chlamydomonas. Plant Physiol. Biochem. 2010;48:239–246. doi: 10.1016/j.plaphy.2010.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Lucker B.F., Panchy N.L., Temple J.A., Benning U.F., Bibik J.D., Neofotis P.G., Weissman J.C., Baxter I.R., Shiu S.-H., Kramer D.M. Selection-enriched genomic loci (SEGL) reveals genetic loci for environmental adaptation and photosynthetic productivity in Chlamydomonas reinhardtii. bioRxiv. 2021 doi: 10.1101/2021.07.06.451237. [DOI] [Google Scholar]
- 94.Porra R.J., Thompson W.A., Kriedemann P.E. Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: Verification of the concentration of chlorophyll standards by atomic absorption spectroscopy. Biochim. Biophys. Acta. 1989;975:384–394. doi: 10.1016/S0005-2728(89)80347-0. [DOI] [Google Scholar]
- 95.Wellburn A.R. The Spectral Determination of Chlorophylls a and b, as well as Total Carotenoids, Using Various Solvents with Spectrophotometers of Different Resolution. J. Plant Physiol. 1994;144:307–313. doi: 10.1016/S0176-1617(11)81192-2. [DOI] [Google Scholar]
- 96.Bensalem S., Lopes F., Bodénès P., Pareau D., Français O., Le Pioufle B. Structural changes of Chlamydomonas reinhardtii cells during lipid enrichment and after solvent exposure. Data Brief. 2018;17:1283–1287. doi: 10.1016/j.dib.2018.02.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Jack B., Avasthi P. Erratum to: Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii. Program. Necrosis. 2018;1795:E1. doi: 10.1007/978-1-4939-7874-8_19. [DOI] [PubMed] [Google Scholar]
- 98.Mitchell D.R., Rosenbaum J.L. A motile Chlamydomonas flagellar mutant that lacks outer dynein arms. J. Cell Biol. 1985;100:1228–1234. doi: 10.1083/jcb.100.4.1228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Lord S.J., Velle K., Mullins R.D., Fritz-Laylin L.K. SuperPlots: Communicating reproducibility and variability in cell biology. J. Cell Biol. 2020;219:202001064. doi: 10.1083/jcb.202001064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Jin J., Tian F., Yang D.-C., Meng Y.-Q., Kong L., Luo J., Gao G. PlantTFDB 4.0: Toward a central hub for transcription factors and regulatory interactions in plants. Nucleic Acids Res. 2017;45:D1040–D1045. doi: 10.1093/nar/gkw982. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in this study are available in this article.