Abstract
To identify genes that regulate the dynamics of lipid droplet (LD) size, we have used the genetically tractable model organism Caenorhabditis elegans, whose wild-type LD population displays a steady state of size with an upper limit of 3 μm in diameter. From a saturated forward genetic screen of 6.7 × 105 mutagenized haploid genomes, we isolated 118 mutants with supersized intestinal LDs often reaching 10 μm. These mutants define nine novel complementation groups, in addition to four known genes (maoc-1, dhs-28, daf-22, and prx-10). The nine groups are named drop (lipid droplet abnormal) and categorized into four classes. Class I mutants drop-5 and drop-9, similar to prx-10, are up-regulated in ACS-22-DGAT-2-dependent LD growth, resistant to LD hydrolysis, and defective in peroxisome import. Class II mutants drop-2, drop-3, drop-6, and drop-7 are up-regulated in LD growth, are resistant to LD hydrolysis, but are not defective in peroxisome import. Class III mutants drop-1 and drop-8 are neither up-regulated in LD growth nor resistant to LD hydrolysis, but seemingly up-regulated in LD fusion. Class IV mutant drop-4 is cloned as sams-1 and, different to the other three classes, is ACS-22-independent and hydrolysis-resistant. These four classes of supersized LD mutants should be valuable for mechanistic studies of LD cellular processes including growth, hydrolysis, and fusion.
Keywords: C. elegans, lipid droplet, peroxisome, forward genetic screen, drop
The fat triacylglycerol (TAG) is stored in lipid droplets (LDs), a type of cellular organelle conserved across eukaryotes (Martin and Parton 2006). While the importance of LD in cellular fat storage and fat mobilization has emerged through several lines of research, mechanisms underlying basic LD cellular processes such as de novo formation, growth, fusion, and hydrolysis are still poorly understood (Ploegh 2007; Walther and Farese 2012; Yang et al. 2012). Changes in the processes of de novo formation, growth, fusion, or hydrolysis may lead to changes in the number or size of LDs. Thus, size change may serve as a convenient morphological entry point to dissect the underlying metabolic pathways that anabolize and catabolize fat, and to uncover the protein-lipid membrane machinery that channels fat into and out of LDs.
Candidate gene approaches based on gene knockouts or proteomics have led to the identification and an initial understanding of the roles of LD surface proteins such as PLINs, ATGL, DGAT, and Cidec in the regulation of LD hydrolysis, growth, and fusion (Walther and Farese 2012). As confirmed by several studies, functional perturbation of LD processes through gene manipulation often leads to changes in LD size, number, or distribution. Thus, genetic screens for morphological LD alterations may be used as a first step to discover genes and to relate gene functions to cognate LD processes. Along this line, whole genome reverse genetic screens have been undertaken to identify genes whose functional loss leads to changes in LD size, number, or spatial distribution at the single-cell level. For example, whole genome RNAi screens in Drosophila S2 cells uncovered the involvement of Arf1-COPI complex in LD morphology and a role of CTP:phosphocholine cytidylyltransferase (CCT) in typical LD fusion (Beller et al. 2008; Guo et al. 2008; Krahmer et al. 2011). Deletion mutant library screens in the single-celled yeast Saccharomyces cerevisae revealed the roles of SEIPIN and phosphatidic acid metabolism enzymes in typical LD fusion (Szymanski et al. 2007; Fei et al. 2008, 2011). Unbiased saturated forward genetic screens for morphological LD mutants in multicellular systems, however, have rarely been reported.
Through a combination of biochemical, histological, and microscopy approaches, Zhang and colleagues recently demonstrated that LDs rather than lysosome-related organelles (LROs) are the fat storage organelles in Caenorhabditis elegans (Zhang et al. 2010b). In C. elegans, vital Nile Red staining labels LROs but not LDs. However, postfix Nile Red staining and postfix Oil-Red-O staining specifically label LDs (Zhang et al. 2010a,b). These results also demonstrated that “fat stores accessible to postfix Nile Red” and “fat vesicles distinct from LROs” defined in two earlier reports (Brooks et al. 2009; O’Rourke et al. 2009) were actually LDs, and, explained why staining intensity of postfix Nile Red and postfix Oil-Red-O but not of vital Nile Red may be used as a semiquantitative measurement of relative TAG level (Schroeder et al. 2007; Brooks et al. 2009; O’Rourke et al. 2009). In contrast to vital Nile Red, vital BODIPY labels LDs in addition to LROs. For this reason, BODIPY fluorescence intensity may not be used to quantify relative TAG level. However, vital BODIPY is still qualitatively useful for labeling LDs in wild type and for labeling LDs specifically when LROs are abolished in a glo-4 mutant background (Zhang et al. 2010a,b).
As the only qualitatively reliable vital LD dye currently available, BODIPY should be valuable for the fast identification of mutants with LD size changes in forward genetic screens of a large number of live animals. This argument is supported by the fact that in a screen of 3.6 × 104 haploid genomes, vital BODIPY labeling allowed the isolation of 11 bona fide supersized LD mutants corresponding to four genes: maoc-1, dhs-28, daf-22, and prx-10 (Butcher et al. 2009; Zhang et al. 2010a). MAOC-1, DHS-28, and DAF-22 are three consecutive enzymes for peroxisomal fatty acid β-oxidation. PRX-10 is responsible for the import of peroxisome matrix enzymes including MAOC-1, DHS-28, and DAF-22. Loss-of-function mutation of these proteins results in a decrease of fatty acid breakdown and an increase of fatty acid storage in the form of TAG. The increase of TAG storage is expressed as an enhancement of LD growth concurrent with an inhibition of LD hydrolysis. The net effect of growth and hydrolysis is accumulated across developmental stages, resulting in supersized LDs 3–10 μm in diameter by larval stage L4 and even larger in adults (Zhang et al. 2010a). The enhanced LD growth is dependent on the TAG-synthesis enzyme complex ACS-22/FATP1-DGAT-2, which is conserved between C. elegans and mammals (Xu et al. 2012). Whether the BODIPY-based forward genetic screen was saturated was not tested.
To fully exploit the BODIPY-based strategy for isolating supersized LD mutants, we have now conducted a saturated genetic screen with several innovations: (1) increasing the haploid genome number 18.6 times to 6.7 × 105, (2) using both ethylmethanesulfonate (EMS) and ethylnitrosourea (ENU) as mutagens, (3) applying a novel temperature-sensitive mutant selection regimen, (4) using high-copy transgenic lines expressing wild-type MAOC-1/DHS-28/DAF-22 as a mutagenesis background in order to target only new genes, and (5) using acs-22 mutant as a mutagenesis background to enrich mutants of novel genes that are ACS-22-independent. In this way, we isolated in total 118 mutants. Forty-five are new alleles of four previously reported genes for peroxisome function: maoc-1, dhs-28, daf-22, and prx-10; the other 73 define nine novel complementation groups that are named drop (lipid droplet abnormal) and are categorized into four classes. These four classes of mutants represent valuable models for the regulation of LD growth, hydrolysis, and fusion.
Materials and Methods
C. elegans strains and culture conditions
The wild-type strain was N2 Bristol. The mapping strain was a Hawaiian isolate CB4856. All strains were raised on nematode growth media (NGM) plates seeded with OP50 Escherichia coli. Growth temperature was 20° if not otherwise indicated. Mutant alleles and transgenic lines published before or obtained from other sources are: maoc-1(hj3) II, daf-22(ok693) II, prx-10(hj21) III, glo-4(ok623) V, acs-22(tm3236) X, dhs-28(tm2581) X, hjIs37[vha-6p::mrfp::pts1], hjIs73[vha-6p::gfp::daf-22], and hjSi56[vha-6p::3xflag::tev::gfp::dgat-2] IV.
The 13 complementation groups of 118 mutant alleles (reference alleles in bold) isolated in the current study are:
dhs-28(ssd39, ssd40, ssd41, ssd42, ssd43, ssd44, ssd45, ssd46, ssd47, ssd48, ssd50, ssd197, ssd207, ssd208, ssd209) X
daf-22(ssd51, ssd52, ssd53, ssd54, ssd55, ssd56, ssd57, ssd58, ssd59, ssd60, ssd61, ssd62, ssd63, ssd195, ssd198, ssd200, ssd201, ssd202, ssd204, ssd205, ssd210, ssd215, ssd217) II
drop-1(ssd1, ssd2, ssd3, ssd4, ssd5, ssd6, ssd7, ssd8, ssd9, ssd10, ssd11, ssd12, ssd79, ssd80, ssd81, ssd82, ssd83, ssd84, ssd85, ssd86, ssd87, ssd88, ssd203, ssd212, ssd219, ssd220, ssd221, ssd222, ssd223, ssd224, ssd225, ssd226, ssd227, ssd228, ssd229, ssd230, ssd231, ssd255) II
drop-2(ssd13, ssd14, ssd15, ssd16, ssd17, ssd18, ssd19, ssd20, ssd21, ssd22, ssd23, ssd24, ssd25, ssd26, ssd27, ssd28, ssd29, ssd30, ssd31, ssd32, ssd33, ssd211) IV
Also generated in this study are dgat-2(ssd90) V, ssdIs1[dhs-28; maoc-1; 3xflag::daf-22::SL2::mrfp::pts1] V, ssdIs5[dhs-28; maoc-1; 3xflag::daf-22::SL2::mrfp::pts1] X. ssdIs1 and ssdIs5 were made by UV integration of an extrachromosomal array ssdEx1[dhs-28; maoc-1; 3xflag::daf-22::SL2::mrfp::pts1], which was derived from an injection of plasmid vha-6p::dhs-28, plasmid vha-6p::maoc-1, and plasmid vha-6p::3xflag::daf-22::SL2::mrfp::pts1, each at 10 ng/μl.
Mutagenesis and screening
N2 Bristol (WT), ssdIs1/ssdIs5 (Is[mddm]), acs-22(tm3236) were used as mutagenesis backgrounds. Synchronized L4 hermaphrodites of each background were mutagenized with 50 mM EMS (ethylmethanesulfonate, #M0880-10G, Sigma-Aldrich) or 0.5 mM ENU (ethylnitrosourea, #N3385-1G, Sigma-Aldrich) for 4 hr. ENU was stored and applied essentially as described in De Stasio and Dorman (2001). Healthy mutagenized P0 animals were picked onto 6 cm NGM/OP50 plates, 3 to 5 P0s per plate. On each plate, P0s were allowed to lay 150–200 F1s. Each plate of F1s was an independent pool of haploid genomes. For each screen series, about 300 pools/plates were set up. F1s on each plate were allowed to lay enough F2 eggs. The plate was then washed, leaving only F2 eggs. F2 eggs were allowed to hatch for 2–4 hr to produce 1500–3000 synchronized stage L1 larvae. Synchronized F2 larvae were transferred onto a BODIPY-layered NGM/OP50 plate to grow for 2–3 d at 15° or 20°, and were then transferred to 30o for 4 hr. F2s were screened under a Nikon SMZ1500 stereo microscope in green fluorescent protein (GFP) fluorescence and bright field channels. Candidate supersized LD mutants were picked out by the presence of enlarged BODIPY-positive globular structures in intestinal cells. From each pool only a single isolate was kept. Candidate isolates identified by BODIPY and bright field visualization were further tested by postfix Oil-Red-O staining, postfix Nile Red staining, and GFP::DGAT-2 marking.
Vital BODIPY staining and visualization
A total of 100 μl of 5 μM green BODIPY (#D-3823, Invitrogen) or red BODIPY (#D-3835, Invitrogen) in 1X phosphate buffered saline (PBS, pH 7.2) was added to the ∼2 cm-in-diameter OP50 bacteria lawn of a 6 cm NGM plate. The plate was immediately dried in a laminar flow hood to grow and stain animals. For screening, freshly hatched L1s were loaded onto the plate to grow to L4 and adult stages. BODIPY fluorescence was examined under a Nikon SMZ1500 stereo microscope. For high power confocal imaging, young adult animals were loaded onto the BODIPY plate to produce progeny and late L4 stage progeny were then mounted in 0.2 mM levamisole on agarose-padded slides for imaging.
Postfix Oil-Red-O staining and bright field imaging
Late L4 stage animals were fixed in 1% paraformaldehyde/PBS for 30 min with rocking. Samples were then immediately frozen on dry ice/ethanol and thawed with running tap water. Samples were frozen and thawed again, three times in total. Samples were washed three times with 1X PBS, dehydrated in 60% isopropanol for 2 min, stained with 0.5 ml 60% Oil-Red-O (#O0625-25G, Sigma-Aldrich) working solution for 30 min with rocking. Oil-Red-O stock solution was dissolved in isopropanol at a concentration of 0.5 g/100 ml and was equilibrated for several days. Oil-Red-O working solution was prepared fresh by mixing 60% volume of stock with 40% volume of water. The mix was equilibrated for 10 min, and then filtered with a 0.22 μm spin-filter. Stained samples were then washed three times with 1X PBS, rehydrated in 1X PBS, and mounted in 1X PBS onto agarose-padded slides for imaging. Some Oil-Red-O color images were acquired on a Zeiss Axiovert 200M compound microscope using a FLUAR 40X/1.30 Oil Iris objective. The camera was a RETIGA-SRV FAST1394 device (QIMAGING) controlled by Image-Pro Plus 7.0 software. Other Oil-Red-O images were acquired on a Zeiss Imager M1 compound microscope using an EC Plan-Neofluar 40X/1.30 Oil DIC objective. The camera used was a Zeiss AxioCam HRc5 controlled by Zeiss Axiovision LE 4.0 software.
Postfix Nile Red staining
Late L4 animals were fixed, freeze-thawed, washed, and dehydrated in the same way as in postfix Oil-Red-O staining. Animals were then stained with 0.5 ml of 1 μg/ml Nile Red (#N1142, Invitrogen) in 60% isopropanol for 30 min. Stained samples were then washed three times with 1X PBS, rehydrated in 1X PBS, and mounted in 1X PBS onto agarose-padded slides for confocal imaging.
Confocal fluorescence imaging and spectral analysis
All confocal fluorescence images were acquired on a Zeiss LSM780 inverted confocal microscope with a Plan-Apochromat 63X/1.40 Oil DIC M27 or EC Plan-Neofluar 40X/1.30 Oil DIC M27 objective. Channel mode imaging was applied to BODIPY, GFP::DGAT-2, GFP::DAF-22, and mRFP::PTS1 fluorescence. For GFP and green BODIPY, the excitation laser was 488 nm and emission was collected at 493–598 nm; for mRFP and red BODIPY, excitation was 543 nm, and emission 582–728 nm. Time-lapse channel mode imaging of GFP::DGAT-2 was at one frame every 30 sec. Each frame was a 9 μm Z-stack and was exported as an extended focus view. Lambda mode imaging and spectral analysis were conducted essentially in the same way as that described in Zhang et al. (2010b). For lambda mode imaging of GFP::DGAT-2 and autofluorescence, excitation was 488 nm and emission was 495–647 nm at 9 nm per channel. GFP and autofluorescence signals were separated using linear unmixing. For lambda mode imaging of postfix Nile Red fluorescence, excitation was 514 nm and emission was 540–691 nm at 9 nm per channel. LD fluorescence was separated from the diffuse background fluorescence using linear unmixing.
Genetic background cleaning
All strains were crossed at least four times before phenotype analysis. Mutants isolated from N2 Bristol/WT background were backcrossed four times with N2. Mutants isolated from acs-22(tm3236) background were backcrossed four times with acs-22(tm3236) and then segregated out of acs-22(tm3236). Mutants isolated from Is[mddm] were backcrossed four times with Is[mddm] and then segregated out of Is[mddm].
Complementation test
The 118 mutants were tested for complementation against maoc-1(hj13), dhs-28(tm2581), prx-10(hj21), and daf-22(ok693). Forty-five mutants were identified as new alleles of these four groups. The other 73 mutants were tested against each other and were sorted into nine groups.
maoc-1/dhs-28/daf-22/prx-10 genomic DNA sequencing
The primers used for amplifying and sequencing the four genes’ genomic DNA are listed below. Exons, intron splice donor sites, and intron acceptor sites were covered for each gene.
maoc-1: 0062F: GGTTTTTGTTTCTTCTCCGAC/0071R: CAGACATCTTAGCAAACTCTGG, 0072F: CCAGATAGAGCTCCAGATGC/0072R: CGATCTACTTAATCTTACCAGTG; dhs-28: 0073F: CATGAGAAGACCACAGCGTAGTC/0067R2: GTACTTTGCACCTTCTTGGGCGAG, 0068F: CAACTACGCTGCTGCCAAAAG/0073R: GTTGGGTCAGCCTTCACACC, 0074F: CAGAGTGCTAGACTTGTCTCAATC/0069R: TGAACGCTTCTG TCTGTTTAC; daf-22: 0075F: GGTCTATGTACCTTCAAGTACCG/0075R: CGACGAAATTAAATTAGAGATGG, 0076F2: GCTCTTTCTGTAGACAAACAC/0076R2: CCACTTTGAGAGCGTTTCAG; prx-10: 0047F2: CCCTTTAGATAGACTTTTGCTG/0047R: CCTGTTGTGTAATTGGATTATTCTC, 0048F: GAGAATAATCCAATTACACAACAGG/0048R: CCAAAATGAGACTATCCACTTAACG, 0049F: ACCCAGACGCGAATTATTACAGTAG/0049R: CCAGTGAAATATATTGTTGGATGAG
Genetic mapping
Genetic mapping was conducted essentially in the same way as that described in Davis et al. (2005). Briefly, drop mutants were crossed with the Hawaiian strain CB4856. F2 progeny with supersized LDs were picked out and tested for homologous recombination events that brought Hawaiian single nucleotide polymorphisms (SNP) into N2 Bristol background.
Construction of double mutants of drop with acs-22 or dgat-2
We constructed the following double mutants: drop-1(ssd9); acs-22(tm3236), drop-2(ssd14); acs-22(tm3236), drop-3(ssd36); acs-22(tm3236), acs-22(tm3236) drop-4(ssd206), acs-22(tm3236) drop-5(ssd72), dgat-2(ssd90); drop-6(ssd73), drop-7(ssd75); acs-22(tm3236), drop-8(ssd89); acs-22(tm3236), and drop-9(ssd213); acs-22(tm3236). For constructing double mutants, drop mutants were mated with acs-22(tm3236) or dgat-2(ssd90); at least eight F2s with supersized LDs were picked out and singled to produce F3s. F2s were subjected to acs-22/dgat-2 genotyping. If F2s were acs-22 homozygous, i.e., drop/drop; acs-22/acs-22, F3s derived from the F2 were kept as double mutants. The drop mutant was inferred as ACS-22/DGAT-2-independent. If none of the F2s was acs-22/dgat-2 homozygous but heterozygous, F3s derived from F2 heterozygotes were counted to calculate the ratio of supersized LD animals. If the ratio was three quarters, the drop mutant was inferred as ACS-22/DGAT-2-dependent. F3s without supersized LDs were singled to produce F4s, and were then subjected to acs-22/dgat-2 genotyping. F4s of acs-22/dgat-2 homozygous F3s were kept as double mutants.
Brood size test
Five stage L4 animals (P0s) of each drop reference allele were singled to lay eggs. Each P0 was transferred onto a new plate every 24 hr to lay eggs. Each P0 was allowed to lay eggs for a total of 144 hr when no more eggs were produced. The number of F1 progeny that eventually developed to L4 stage was counted.
Fasting
Fasting was conducted essentially as in Zhang et al. (2010a).
LD purification and western blot
Purification of LDs was essentially as in Zhang et al. (2010b) and Zhang et al. (2012) with some modifications. Briefly, 2 × 105 freshly hatched wild-type or hjSi56 animals were grown on 20 15 cm-NGM/OP50 plates. Animals were allowed to grow to the 1-d adult stage, then harvested and washed three times with 1X PBS/0.001% Triton X-100 (PBST). Animals were then washed with 5 ml buffer A [25 mM Tricine, pH 7.6, 250 mM sucrose, one protease inhibitor cOmplete Tablet (#04693132001, Roche) per 50 ml volume]. Animals were then resuspended in 3 ml buffer A and homogenized by 75 strokes using a dounce homogenizer. Each homogenate was transferred into a 15 ml centrifuge tube. Buffer A was added to the tube to bring the total volume to 10 ml. Homogenate was centrifuged at 1000 g for 10 min at 4°. The supernatant was postnuclear supernatant (PNS), from which 9 ml was loaded into a 13 ml centrifuge tube. A total of 3 ml buffer B (20 mM HEPES, pH 7.4, 100 mM KCl, and 2 mM MgCl2) was gently added on top of the 9 ml sample. The sample was then centrifuged in a Beckman SW41 Ti rotor at 12,348 g for 1 hr at 4°. The LD fraction (the top layer) was carefully collected and washed with 200 µl buffer B and centrifuged at 15,000 g for 3 min at 4°, three times in total. A 2 ml fraction in the lower phase of the tube was collected, transferred into a new tube, and centrifuged in a TLS-55 rotor at 100,000 g for 1 hr at 4°. The pellet at the bottom of the tube was the total membrane (TM) fraction and was washed three times with buffer B. For western blot, LD protein and TM protein were extracted. Briefly, 1 ml acetone was added to the LD or TM sample. Samples were vortexed rigorously and then chilled at −20° for 1 hr. Samples were centrifuged at 16,000 g for 10 min. LD protein and TM protein were spun down as pellets. Pellets were air dried and were dissolved in 30 µl 2X SDS protein sample buffer. Protein concentrations were measured using a BCA kit (#23227, Thermo Scientific). A total of 10 µg of each protein sample was loaded and separated on 8% SDS-PAGE according to standard methods. Proteins separated were subjected to western blot using a mouse anti-FLAG antibody (#F3165-1MG, Sigma-Aldrich) at 1:500 dilution.
Data availability
Strains and data are available upon request. The authors state that all data necessary for confirming the conclusions presented in the article are represented fully within the article.
Results
Design of the screen
The main aim of this study was to conduct a large-scale screen for recessive loss-of-function mutants with supersized LDs in C. elegans. We extended a previous screen by exploiting several innovations. First, in addition to using the wild-type N2 as a mutagenesis background, we used an integrated stable transgenic line (termed Is[mddm]) bearing multiple copies of wild-type maoc-1, dhs-28, daf-22, and a peroxisome import marker mrfp::pts1 cDNAs driven by an intestine-specific vha-6 promoter. This line was used to bypass the reisolation of maoc-1/dhs-28/daf-22, to immediately identify prx-10 based on the mislocalization of peroxisome marker protein mRFP::PTS1 (Zhang et al. 2010a), and to enrich new genes. Second, since the supersized LD phenotype of maoc-1/dhs-28/daf-22/prx-10 is a result of enhanced LD growth mediated by the ACS-22-DGAT-2 enzyme complex (Xu et al. 2012), we used a deletion mutant acs-22(tm3236) as a mutagenesis background in hope of enriching new genes representing novel models of supersized LD formation. Third, before phenotype screening we shifted the F2 progeny from a low cultivation temperature of 15° or 20° to 30° for the brief time of 4 hr, in hope of finding temperature-sensitive (ts) mutants with a fast response to temperature shift. We failed to find any ts mutants with a shift to 25° so we switched to 30°. Fourth, we used ENU as a mutagen in addition to EMS. ENU has a broader mutagenic spectrum of DNA base substitution and fragment deletion (Anderson 1995; De Stasio et al. 1997; De Stasio and Dorman 2001). ENU may increase the chance of isolating genes with very low allele frequency, especially those rare ts alleles. In total we conducted six series of screens: EMS/WT, ENU/WT, EMS/Is[mddm], ENU/Is[mddm], EMS/acs-22, and ENU/acs-22. Each series allowed both non-ts and ts mutant isolation (Figure 1A). Fifth, in all series except one, we increased the haploid genome number to ∼1.0 × 105. The total number of haploid genomes screened was more than half a million (Table 1).
Table 1. Isolation origins of the 13 complementation groups and 118 alleles.
Group | ts | Alleles | Mutagen/Background (Haploid Genomes) | |||||
---|---|---|---|---|---|---|---|---|
EMS/WT | ENU/WT | EMS/Is[mddm] | ENU/Is[mddm] | EMS/acs-22 | ENU/acs-22 | |||
(1.18 × 105) | (1.27 × 105) | (0.95 × 105) | (0.32 × 105) | (1.49 × 105) | (1.49 × 105) | |||
maoc-1 II | 5 | 3 | 2 | x | x | x | x | |
dhs-28 X | 15 | 9 | 6 | x | x | x | x | |
daf-22 II | 23 | 18 | 5 | x | x | x | x | |
prx-10 III | 2 | 2 | x | x | ||||
drop-1 II | ts (38/38) | 38 | 5 | 4 | 2 | 2 | 16 | 9 |
drop-2 IV | 22 | 5 | 5 | 12 | x | x | ||
drop-3 IV | ts (5/5) | 5 | 3 | 2 | x | x | ||
drop-4 X | 1 | 1 | ||||||
drop-5 X | ts (2/2) | 2 | 1 | 1 | x | x | ||
drop-6 X | ts (2/2) | 2 | 2 | x | x | |||
drop-7 | 1 | 1 | x | x | ||||
drop-8 III | ts (1/1) | 1 | 1 | |||||
drop-9 II | 1 | 1 | x | x | ||||
Total | 118 | 45 | 25 | 17 | 4 | 16 | 11 |
The 13 complementation groups consist of four known groups (maoc-1, dhs-28, daf-22, and prx-10), which are separated from the nine new drop groups. Six screen series are defined according to the mutagen and background used. WT, N2 Bristol. Is[mddm], ssdIs1, and ssdIs5[maoc-1; dhs-28; daf-22; mrfp::pts1]. acs-22, a deletion allele acs-22(tm3236). Numbers of alleles are listed. ts, temperature-sensitive alleles; x, no mutant of the group expected due to Is[mddm] bypassing or acs-22 suppression; empty cell, no allele isolated.
We used five labeling and visualization criteria to identify supersized LDs: vital BODIPY staining, bright field visualization, postfix Oil-Red-O staining, postfix Nile Red staining (Zhang et al. 2010a,b), and GFP::DGAT-2 LD marker labeling (Xu et al. 2012). To test whether GFP::DGAT-2 specifically labels LDs, we purified LDs and TM from hjSi56[vha-6p::3xflag::gfp::dgat-2] transgenic animals, and found that DGAT-2 localizes to LD but not to TM (Supplemental Material, Figure S1A). Under lambda mode confocal microscopy, LRO’s autofluorescence appears as a filled globe, while LD’s GFP::DGAT-2 fluorescence appears as an encircled globe. The two kinds of fluorescence display distinct emission spectra and the globular structures labeled by each completely exclude the other (Figure S1, B–E). glo-4 mutation eliminates LROs, leaving fluorescent structures 100% GFP::DGAT-2 positive (Figure S1, F and G). These data corroborated the specificity of GFP::DGAT-2 as an LD marker. In wild type, 78.9% of vital BODIPY-labeled structures are encircled by GFP::DGAT-2, while 21.1% are not and should be LROs since glo-4 mutation leaves BODIPY structures 99.9% encircled by GFP::DGAT-2 (Figure S2, A–C).
To screen for recessive mutants, F2 progeny of mutagenized P0s were grown on BODIPY-layered NGM/OP50 media. F2s with supersized LDs were picked out by virtue of BODIPY fluorescence and bright light-refraction under a stereoscope at 180× magnification. Among the isolates picked out from the six screening series, only 118 (about a third of total) survived and proliferated. F3 and further generations of these 118 isolates were subjected to postfix Oil-Red-O staining, postfix Nile Red staining, and GFP::DGAT-2 labeling (Figure 1A) which unsurprisingly confirmed all 118 as bona fide supersized LD mutants (e.g., Figure 1, B–E), a further validation of each LD labeling and visualization method.
Identification of nine novel complementation groups of supersized LD mutants
The 118 isolates were backcrossed four times, segregated from the original genetic background when necessary, and examined for temperature sensitivity. During crossing, we found that all mutants are recessive loss-of-function, completely penetrant, and with no detectable maternal effect. These isolates were tested for complementation first against known maoc-1, dhs-28, daf-22, and prx-10 alleles. We found five maoc-1 alleles, 15 dhs-28, 23 daf-22, and two prx-10. The other 73 were tested against each other and sorted into nine novel complementation groups named drop (lipid droplet abnormal) (Table 1). The isolation origins of these 13 complementation groups display expected patterns. maoc-1, dhs-28, and daf-22 were bypassed in the EMS/ENU/Is[mddm] and EMS/ENU/acs-22 series; prx-10 was bypassed in the EMS/ENU/acs-22 series. Interestingly, six of the nine drop groups, drop-2, 3, 5, 6, 7, and 9, were also bypassed in the EMS/ENU/acs-22 series. The temperature regimen proved a success: five of the nine groups, drop-1, 3, 5, 6, and 8, are ts. Curiously, the temperature sensitivity is either all or none: all alleles of drop-1, 3, 5, 6 and 8 are ts; all alleles of drop-2, 4, 7, 9, maoc-1, dhs-28, daf-22, and prx-10, are non-ts. The restrictive temperature of drop-1, 3, 6, and 8 is 30° as was screened for, while that of drop-5 (20°) occurred fortuitously.
Heterozygotes of the only allele of drop-7 segregated 1/16 supersized LD progeny (see later), indicating mutations in two unlinked genetic loci. Heterozygotes of the other eight drop groups segregated 1/4 supersized LD progeny, indicating mutation in a single locus. Seven of the eight single drop loci were positioned by SNP-based chromosome mapping and three-point interval mapping (Davis et al. 2005) (Figure S3); the other locus drop-4 was cloned by direct sequencing. The eight single loci reside in discrete short physical regions of Chr II, III, IV, and X (Figure 2).
Class I (drop-5 and drop-9) is up-regulated in LD growth and defective in peroxisome import
As indicated by isolation origins, the drop mutants may be classified according to whether they are dependent on ACS-22 for supersized LD phenotype and whether they affect peroxisome marker mRFP::PTS1 import. Consistent with previous reports (Zhang et al. 2010a,b), wild-type LDs are usually below 3 μm in diameter at stage L4 and display no obvious size difference when grown continuously at 15°, 20°, or shifted to 30° for a brief period of 4 hr (Figure 3, A–C). At a restrictive temperature of 20°, the reference allele ssd72ts of drop-5 accumulates supersized LDs > 3 μm in and only in the intestinal cells throughout the anterior–posterior axis (Figure 4A). The only allele of drop-9, ssd213, is a non-ts mutant with intestinal supersized LDs formed at all three temperatures (Figure 4B; unpublished results). The acs-22(tm3236) null mutation has no effect on wild-type LDs (Xu et al. 2012) but completely prevents supersized LD formation in drop-5(ssd72)ts and drop-9(ssd213) (Figure 3D and Figure 4, C and D). Supersized LDs that have already formed in drop-5(ssd72)ts and drop-9(ssd213) are mostly resistant to hydrolysis induced by a 24 hr-fasting post L4 while LDs in wild type are not (Figure 3, E and F and Figure 4, E and F). drop-5(ssd72)ts was isolated in the EMS/Is[mddm] series and was noted for its ts peroxisome import defect: peroxisome matrix protein GFP::DAF-22 and mRFP::PTS1 are correctly imported at 15° but not at 20° (Figure 4, G–I). Similarly, mRFP::PTS1 is not imported in drop-9(ssd213) (Figure 4J). Thus, drop-5 and drop-9 are similar to maoc-1/dhs-28/daf-22/prx-10 in supersized LD phenotype, ACS-22-dependence, and resistance to fasting-induced hydrolysis, and similar to prx-10 in peroxisome import defect (Zhang et al. 2010a; Xu et al. 2012). It strongly suggests that drop-5 and drop-9 supersized LDs form by an enhancement of LD growth and an inhibition of LD hydrolysis. drop-5 and drop-9 may encode peroxins and are categorized as class I.
Class II (drop-2, drop-3, drop-6 and drop-7) is up-regulated in LD growth but not defective in peroxisome import
Class II mutants drop-2, drop-3, drop-6, and drop-7 are similar to class I in supersized LD phenotype, ACS-22/DGAT-2-dependence, and resistance to fasting-induced hydrolysis (Figure 5, A–L). But these four groups are not peroxisome import defective. Interesting differences exist between the four groups. All 22 alleles of drop-2 are non-ts and exhibit similarly supersized LDs. It is unlikely that these 22 alleles are a series of variable partial loss-of-function mutations since drop-2(ssd29) is an amber mutant suppressible by sup-7(st5). All five alleles of drop-3 and both alleles of drop-6 are ts with a restrictive temperature of 30°. Furthermore, the supersized LDs formed at 30° for 4 hr are only partially resistant to fasting-induced hydrolysis (Figure 5, K and L). The unusually high restrictive temperature and the partial resistance to fasting-induced hydrolysis may be due to the existence of drop-3 and drop-6 homologs. Consistent with this notion is that ssd75, the only drop-7 allele, is non-ts and is fully resistant to fasting-induced hydrolysis (Figure 5, B and F). drop-7(ssd75) appears mutated in two unlinked genes since its heterozygote segregates ∼1/16 (9/137) supersized LD progeny. However, drop-3 and drop-6 are unlikely to be homologous to each other since the double mutant drop-3(ssd36)ts; drop-6(ssd73)ts is not stronger than each single mutant in LD phenotype. With a similarity to maoc-1/dhs-28/daf-22 in supersized LD phenotype and a lack of peroxisome import defect, drop-2, drop-3, drop-6, and drop-7 may encode additional enzymes of peroxisomal fatty acid β-oxidation and are thus categorized as class II.
Class III (drop-1 and drop-8) forms supersized LDs by fusion
All alleles of class III mutants drop-1 and drop-8 are ts with a restrictive temperature of 30° (Figure 6, A–D). This class differs drastically from class I and II mutants in three aspects. First, the supersized LD phenotype is not abolished by acs-22 mutation (Figure 6, E and F). Second, supersized LDs are completely exhausted by fasting-induced hydrolysis (Figure 6, G and H). Third, the formation of supersized LDs upon a shift to 30° for 4 hr is accompanied by an obvious decrease of small LDs, indicating a process of enhanced LD fusion (Figure 6, A–D). To directly test for LD fusion, we time-lapse imaged GFP::DGAT-2-labeled LDs in drop-1 upon an up-shift to 30°. More than 20 fusion events were recorded. As shown in one example, two LDs directly fuse during a short time window of 30 sec to form a supersized LD with a diameter > 5 μm (Figure 6I).
Class IV (drop-4) forms supersized LDs independent of ACS-22 and is hydrolysis-resistant
Class IV is defined by a single group with a single non-ts allele drop-4(ssd206). The supersized LD phenotype of drop-4(ssd206) is already pronounced at L4 stage and increases to a phenomenal level at 2-d adult stage (Figure 7, A and B). The extremely large LDs resemble those in a previously reported mutant sams-1 (Li et al. 2011). drop-4(ssd206) does not complement a deletion mutant sams-1(ok2946) and bears a missense mutation Ala42Val at the SAMS-1 protein level. So, drop-4 is sams-1. Unlike in drop-1 and drop-8, the formation of supersized LDs in drop-4/sams-1 is unaccompanied by a detectable clearance of small LDs (Figure 7A), independent of ACS-22, and resistant to fasting-induced hydrolysis (Figure 7, C and D). These features make drop-4/sams-1 distinct from class I, II, and III.
Allele frequency, enrichment of novel genes, and a test of saturation
In the six series of genetic screens we isolated 13 complementation groups. Four are the same peroxisome mutants as previously found. Nine are novel. This collection of mutants showed a drastic difference in allele numbers. Four genes (dhs-28, daf-22, drop-1 and drop-2) are defined by > 15 alleles; the other four (drop-4, drop-7, drop-8, and drop-9), by just one (Table 1). To estimate the screening efficiency, we calculated allele frequencies of these genes according to their isolation origins (Table 2).
Table 2. Allele frequencies with two different mutagens and three backgrounds.
Mutagen | Background | ||||
---|---|---|---|---|---|
EMS | ENU | WT | Is[mddm] | acs-22 | |
maoc-1 II | 2.5 × 10−5a | 1.6 × 10−5a | 2.0 × 10−5 | ||
dhs-28 X | 7.6 × 10−5a | 4.7 × 10−5a | 6.1 × 10−5 | ||
daf-22 II | 15.3 × 10−5a | 3.9 × 10−5a | 9.4 × 10−5 | ||
prx-10 III | 0.9 × 10−5b | 1.6 × 10−5 | |||
drop-1 II | 6.4 × 10−5c | 4.9 × 10−5c | 3.7 × 10−5 | 3.1 × 10−5 | 8.4 × 10−5 |
drop-2 IV | 8.0 × 10−5b | 3.1 × 10−5b | 4.1 × 10−5 | 9.4 × 10−5 | |
drop-3 IV | 1.4 × 10−5b | 1.3 × 10−5b | 1.2 × 10−5 | 1.6 × 10−5 | |
drop-4 X | 0.3 × 10−5c | 0.3 × 10−5 | |||
drop-5 X | 0.9 × 10−5b | 0.4 × 10−5 | 0.8 × 10−5 | ||
drop-6 X | 1.3 × 10−5b | 0.8 × 10−5 | |||
drop-7 | 0.6 × 10−5b | 0.4 × 10−5 | |||
drop-8 III | 0.8 × 10−5c | 0.3 × 10−5 | |||
drop-9 II | 0.5 × 10−5b | 0.4 × 10−5 | |||
Total | 43.5 × 10−5 | 22.5 × 10−5 | 28.5 × 10−5 | 16.5 × 10−5 | 9.0 × 10−5 |
The number of alleles divided by the number of haploid genomes of the WT screen since Is[mddm] transgene bypasses the selection of and acs-22 suppresses these mutants. In a similar EMS/WT screen in Zhang et al. (2010) and Butcher et al. (2009), allele frequency of maoc-1 is 5.6 × 10−5; dhs-28, 11.1 × 10−5; daf-22, 11.1 × 10−5; prx-10, 2.7 × 10−5.
The number of alleles divided by the sum of haploid genomes of the WT and Is[mddm] screens since acs-22 suppresses these mutants.
The number of alleles divided by the sum of haploid genomes of the WT, Is[mddm], and acs-22 screens since acs-22 does not suppress these mutants.
We first compared the efficiency of the two mutagens. In the EMS/WT screen, allele frequencies of three known genes are comparable to those reported before: 2.5 × 10−5 vs. 5.6 × 10−5 of maoc-1, 7.6 × 10−5 vs. 11.1 × 10−5 of dhs-28, and 15.3 × 10−5 vs. 11.1 × 10−5 of daf-22 (Butcher et al. 2009; Zhang et al. 2010a). ENU mutagenesis did not result in a higher allele frequency for these three genes. The cumulative allele frequency of all 13 genes with ENU is 22.5 × 10−5, lower than 43.5 × 10−5 with EMS. For every one of the nine genes (maoc-1, dhs-28, daf-22, prx-10, drop-1, drop-2, drop-3, drop-5, and drop-9), the frequency with ENU is consistently lower than that with EMS and this difference is significant (P = 0.05, paired two-sample t-test). However, drop-4, drop-6, drop-7, and drop-8 with only one or two rare alleles were isolated only from ENU mutagenesis (Table 2), suggesting that, although less efficient than EMS, ENU may be suitable for isolating genes with rare alleles due to its ability to target a broader spectrum of base pairs (Anderson 1995; De Stasio et al. 1997). Consistent with this speculation is that for the 45 sequenced mutation sites of maoc-1, dhs-28, daf-22, and prx-10, mutations by EMS are 93.7% GC→AT transition, 3.1% GC→TA transversion, 3.1% AT→CG transversion, while mutations by ENU are 61.5% GC→AT transition, 7.7% GC→TA transversion, 7.7% AT→GC transition, 15.4% AT→TA transversion, and 7.7% insertion-deletion (Indel) (Table S1).
We next assessed the efficiency of using Is[mddm] and acs-22 as mutagenesis backgrounds in enriching new genes or enriching new alleles. Indeed, the Is[mddm] and acs-22 series realized the goal of not only bypassing known genes but also enriching new genes or new alleles. For example, the Is[mddm] series completely bypass maoc-1/dhs-28/daf-22 and isolate prx-10/drop-2/drop-3/drop-5 at moderately higher allele frequencies than the WT series. According to our phenotype classification criteria, maoc-1/dhs-28/daf-22/prx-10 and drop-2/drop-3/drop-5 belong to the LD growth enhancement model common to class I and class II. It suggests that the bypassing strategies may be particularly useful to enrich new genes of the same phenotype/function class or a new gene class. In agreement with this deduction, class III mutant drop-1 is not enriched in the nonclass-bypassing Is[mddm] series but is enriched in the class I and II-bypassing acs-22 series with an allele frequency 2.27-fold of that in the WT series. Class III mutant drop-8 and class IV drop-4/sams-1 are enriched in the acs-22 series but unfound in the WT or Is[mddm] series (Table 2).
If the mutation probabilities of all 13 genes obey Poisson distribution, the number of unidentified genes may be calculated with the Poisson equation. We calculated the number of unidentified genes in the WT series since it permits the isolation of all four classes. In EMS/WT, ENU/WT, and the combined WT series, no gene was unidentified. In the combined WT/Is[mddm]/acs-22 series, no gene was unidentified (Table 3). We interpret these data as meaning that the screening system was saturated but not necessarily that no new genes will be discovered (see Discussion).
Table 3. The extent of saturation for genes that can be mutated to a fertile supersized LD phenotype.
Series | WT | EMS/WT | ENU/WT | WT + Is[mddm]+acs-22 |
---|---|---|---|---|
maoc-1 II | 5 | 3 | 2 | 5 |
dhs-28 X | 15 | 9 | 6 | 15 |
daf-22 II | 23 | 18 | 5 | 23 |
prx-10 III | 2 | |||
drop-1 II | 9 | 5 | 4 | 38 |
drop-2 IV | 10 | 5 | 5 | 22 |
drop-3 IV | 3 | 3 | 5 | |
drop-4 X | 1 | |||
drop-5 X | 1 | 1 | 2 | |
drop-6 X | 2 | 2 | 2 | |
drop-7 | 1 | 1 | 1 | |
drop-8 III | 1 | |||
drop-9 II | 1 | 1 | 1 | |
λ | 7.0 | 5.6 | 3.6 | 9.0 |
P(0)a | 0.0009 | 0.0036 | 0.0281 | 0.0001 |
N(0)b | 0.009 | 0.029 | 0.202 | 0.001 |
Allele numbers are listed for each gene according to isolation origins. λ, mean allele number; P(0), probability of unidentified genes; N(0), number of unidentified genes.
Assume that the allele frequency observes Poisson distribution. The probability of unidentified genes, i.e., the category with 0 allele, follows P(κ) = λκ·e-λ/κ!. When κ = 0, P(0) = e-λ.
N(0) = N·e-λ/(1-e-λ). N, number of identified genes.
Discussion
The fact that TAG is stored in LDs in C. elegans was not established until Zhang and colleagues analyzed wild type, glo mutants, and a class of peroxisomal β-oxidation mutants. They found that: (1) C. elegans LDs as visualized by transmission electron microscopy are electron translucent structures delimited by a phospholipid monolayer; (2) LDs are not abolished in glo mutants and supersized LDs form in peroxisomal β-oxidation mutants; (3) in wild type, glo mutants, and peroxisomal β-oxidation mutants, small and supersized LDs can be labeled both by postfix Oil-Red-O and by postfix Nile Red staining; (4) postfix Nile Red labels LDs and emits fluorescence with a true color of gold; (5) vital Nile Red only labels LROs with a red fluorescence in wild type but labels both LROs and LDs in peroxisomal β-oxidation mutants; (6) vital BODIPY labels LDs in addition to LROs with the same emission fluorescence; and (7) vital BODIPY-labeled LDs can be separated from LROs by density centrifugation-based purification or by genetically ablating LROs with glo-4 mutation (Zhang et al. 2010a,b). These findings explained previous intriguing results that postfix Nile Red staining and postfix Oil-Red-O staining serve as proxies for relative TAG level better than vital Nile Red does (Hermann et al. 2005; Schroeder et al. 2007; Brooks et al. 2009; O’Rourke et al. 2009), and identified C. elegans fat storage organelles as LDs instead of “fat storing LROs” or “vesicles distinct from LROs”. The dual labeling of LDs and LROs by BODIPY was later confirmed and exploited by independent studies (Klapper et al. 2011; Xu et al. 2012; Ehmke et al. 2014). The specific labeling of LDs by postfix Nile Red and Postfix Oil-Red-O was also exploited (Liang et al. 2010; Xie and Roy 2012; Vrablik et al. 2015), and density purification of LDs has led to the characterization of LD proteomes (Zhang et al. 2012; Vrablik et al. 2015).
Postfix Nile Red staining and Oil-Red-O staining, however, can only serve as a semiquantitative measurement for TAG levels for the following reasons. First, Nile Red fluorescence and Oil-Red-O staining intensity are difficult to normalize against body size or protein mass, which usually differ between wild type and various mutants. Second, staining intensities and image acquisition vary to some extent between individuals and between staining trials of the same genotype (this study and our unpublished observations) (Brooks et al. 2009; O’Rourke et al. 2009). Third, postfix Nile Red gives a diffuse background red fluorescence typical of phospholipids in addition to the gold fluorescence of LDs (Figure 1D) (Greenspan et al. 1985; Zhang et al. 2010b), making indiscriminate quantification of fluorescence intensity error-prone for TAG levels. The application of vital BODIPY fluorescence intensity to TAG quantification suffers similar problems: in addition to labeling intestinal LDs, BODIPY labels intestinal LROs and hypodermal LDs with a much stronger intensity (Zhang et al. 2010a,b). Thus, while these staining methods are well suited for qualitative LD labeling, a precise quantification of TAG in C. elegans depends on quantitative lipid analytical chemistry with a normalization against total lipid/phospholipid mass or total protein mass (Schroeder et al. 2007; Brooks et al. 2009; O’Rourke et al. 2009; Zhang et al. 2010a).
Although qualitatively specific for LDs, postfix Nile Red and Oil-Red-O are too labor-intensive for large-scale genetic screens. Most transgenic LD protein markers such as ATGL-1::GFP, GFP::DGAT-2, DHS-3::GFP, R01B10.6::GFP; PLIN1::GFP, and DHS-4::GFP are functional lipid metabolism proteins whose transgenic expression levels should be kept low so as not to complicate the LD phenotype (Zhang et al. 2010a; Xu et al. 2012; Zhang et al. 2012; Klemm et al. 2013; Liu et al. 2014; Vrablik et al. 2015). Thus, transgenic LD markers necessitate high-power microscopy which is also labor-intensive. Raman scattering imaging has the same practical limitation in addition to the problem of segregating TAG signal from protein and phospholipid signals (Hellerer et al. 2007; Wang et al. 2014). The reliability and efficacy of labeling methods are key to the applicability of C. elegans to large-scale forward genetic screens for LD mutants, and the success of isolating forward genetic mutants with bona fide mutant LD phenotypes demonstrates the reliability and efficacy of these methods – to date, apart from a forward screen of an unknown scale based on R01B10.6::GFP which identified a mini-sized LD mutant (Klemm et al. 2013), no transgenic marker, postfix staining, or Raman microscopy-based unbiased forward genetic screen has been reported. Small-scale candidate gene and RNAi screens revealed no known or new supersized LD mutants (Liu et al. 2014). Interestingly, several mutants with enlarged LDs in oocytes and embryos were identified by DIC microscopy screening of a collection of candidate lethal mutants and animals subjected to RNAi of a small pool of candidate genes. But these mutants did not form supersized LDs at larval or adult stage (Schmokel et al. 2016). In contrast, the vital BODIPY-based large-scale forward genetic screen proved successful in isolating supersized LD mutants here and in our previous, smaller scale study (Zhang et al. 2010a).
Our study was successful in realizing two aims: to further address C. elegans LD labeling methodology and to explore the full potential of C. elegans forward genetic screens to establish models of LD size regulation. When incorporated into supersized LDs, BODIPY emits a strong enough fluorescence which can be readily visualized under a stereo fluorescence microscope, allowing us to rapidly screen millions of F2 animals descended from 0.67 million mutagenized haploid genomes. A complication of vital BODIPY is that it labels LROs in addition to LDs. This problem was obviated by introducing the glo-4 mutation to eliminate LROs (Figure S1 and Figure S2) (Schroeder et al. 2007; Zhang et al. 2010b). Even in the wild-type background, the presence of LROs did not pose a problem since we looked for a phenotype of size increase and supersized LRO mutants were not found in this study or in a previous direct RNAi screen of LRO phenotype (Soukas et al. 2013). As such, our forward genetic screen for supersized BODIPY-positive structures isolated 118 mutants that were all confirmed as supersized LD mutants by postfix Nile Red staining, postfix Oil-Red-O staining, and GFP::DGAT-2 marking (Figure 1). The BODIPY screen allowed the isolation of four mutant complementation groups reported before, and more importantly, nine novel complementation groups representing four models of LD regulation. One group drop-4 was cloned as sams-1, a supersized LD mutant that was originally identified not by direct LD phenotype screening but by candidate gene approaches based on proteomics and gene expression data (Li et al. 2011; Walker et al. 2011; Ehmke et al. 2014). The success of our forward genetic screen justifies the BODIPY approach. We note that the BODIPY approach may not reveal subtle LD phenotypes such as size decrease, small change in number, and change in distribution pattern, for which screening with transgenic markers or postfix staining might also be required. Nevertheless, we suggest that the supersized LD phenotype may serve as a benchmark for testing the reliability and efficacy of any LD labeling and imaging methods in genetic screens.
Have we explored the full potential of the current BODIPY-based forward genetic screens? We think so for the following considerations. The ease with vital BODIPY made it possible to screen a large number of 6.7 × 105 mutagenized haploid genomes. The use of a novel temperature regimen led to the identification of four genes (drop-1, 3, 6, and 8) that would otherwise have escaped isolation. The use of a gene-class-bypassing strategy permitted the identification of two additional genes (drop-4 and 8). The use of ENU, a mutagen with a broader mutagenic spectrum (Anderson 1995; De Stasio et al. 1997), allowed the identification of four genes (drop-4, 6, 7, and 8). In total, we identified 118 bona fide supersized LD mutants, of which 73 are mutations in nine new genes (Table 1 and Table 2). How frequent is the occurrence of supersized LD mutants? The total allele frequency induced by EMS is 43.5 × 10−5, 4.8 × 10−5 per gene, 10 times lower than 5 × 10−4 of an average gene (Brenner 1974). The average allele frequency of maoc-1/dhs-28/daf-22 is 6.6 × 10−5, comparable to 7.6 × 10−5 in a previous report (Zhang et al. 2010a). This suggests that the average allele frequency of supersized LD mutants is inherently low. We used the Poisson equation to estimate whether our screen system was saturated, i.e., whether additional genes were unidentified. As shown in Table 3, in the WT series alone, only 0.009 gene was unidentified, and in screens against all three backgrounds together, 0.001. However, it does not necessarily mean that new genes will not be discovered. For instance, the ENU/WT screen identified drop-6 and drop-7 which were predicted nonexistent by Poisson analysis of the EMS/WT screen; the EMS/WT screen identified drop-3, drop-5, and drop-9 predicted nonexistent by the ENU/WT screen; and the acs-22 screen identified drop-4 and drop-8 predicted nonexistent in the WT screen. drop-4, drop-5, drop-7, drop-8, and drop-9 are of very low allele frequency with just one or two alleles. Interestingly, these alleles of drop-4, drop-5, drop-8, and drop-9 have a brood size significantly lower than wild type and other drop mutants (Figure S4) due to either sterility or embryonic/larval lethality. These alleles may be rare partial loss-of-function mutations. Thus, it seems unlikely that major complementation groups with high allele frequency were missed in our system. Any missing ones may involve sterility and or lethality genes, which may be discovered by screening F2 progeny of cloned F1s and by using genetic balancers.
We categorized the nine drop genes into four classes according to their effect on peroxisome matrix protein import, dependence on ACS-22-DGAT-2-mediated LD growth, and occurrence of direct LD fusion. The rate-limiting enzyme complex ACS-22/FATP1-DGAT-2 together with glycerol-3-phosphate O-acyltransferase 4 (GPAT4) synthesizes TAG on the surface of LDs and TAG is directly packaged into existing LDs, leading to an enhancement of LD growth and supersized LD formation in C. elegans, Drosophila, and mammalian cells (Harris et al. 2011; Xu et al. 2012; Wilfling et al. 2013). Similar to peroxisomal fatty acid β-oxidation mutants maoc-1/dhs-28/daf-22, class I and class II mutants are ACS-22-DGAT-2-dependent and hydrolysis-resistant. Class I and class II thus represent a genetic model of enhanced LD growth and inhibited LD hydrolysis. Class I drop-5 and drop-9 likely encode PRX proteins involved in peroxisome import. Class II drop-2, drop-3, drop-6, and drop-7 may encode peroxisomal fatty acid β-oxidation enzymes not yet identified in C. elegans (Zhang et al. 2010a). Class III drop-1 and drop-8, being ACS-22-independent and hydrolysis-sensitive, are apt to represent enhanced LD fusion. LD fusion in C. elegans has never been convincingly reported before. Our model of LD fusion is particularly useful because it is controllable by a temperature up-shift and the process is fast, resembling “typical LD fusion” rather than “atypical LD fusion” in yeast, Drosophila, and mammalian cells (Fei et al. 2011; Gong et al. 2011; Krahmer et al. 2011). It is interesting that a restrictive temperature of 30° is required for triggering the fusion process even in drop-1 null alleles (unpublished results), suggesting that LD fusion may be a temperature-sensitive process with unusual thermodynamics. The factors contributing to this unusual thermodynamics may include phospholipid composition, fatty acid chain length, degree of unsaturation, and branching in the mono-layered membrane of LDs (Fei et al. 2011; de Mendoza 2014). In natural environments, C. elegans frequently encounters extreme temperatures which have been shown to play important roles in several physiological processes including dauer formation, synaptic vesicle endocytosis, and temperature adaptation (Golden and Riddle 1984; Sato et al. 2009; Svensk et al. 2013; Ma et al. 2015). Further studies of our model may yield insights into regulatory mechanisms of LD fusion. Class IV drop-4/sams-1 is ACS-22-independent and hydrolysis-resistant. It was thought that through up-regulating the expression of ACS-22, DGAT-2, fatty acid synthase, desaturases, and elongases, sams-1 mutation decreases phosphatidylcholine (PC) synthesis and increases TAG synthesis (Li et al. 2011; Walker et al. 2011; Ehmke et al. 2014). But it is still poorly understood why TAG increase results in LD size increase but not number increase. The ACS-22-independence of drop-4/sams-1 indicates that supersized LDs do not form by enhanced LD growth. However, a possibility of ACS-22-independent LD growth cannot be excluded and evidence for enhanced LD fusion is lacking. Detailed molecular analysis of these four classes of genes in LD size regulation and fat metabolism will be published elsewhere.
Supplementary Material
Acknowledgments
We thank Drs. David Weisblat, Gian Garriga, Yikun He, Peng Li, and Xiao Liu for critical reading of and constructive comments on this paper. Some C. elegans strains were kindly provided by Dr. Ho Yi Mak. Some other strains were provided by the Caenorhabditis Genetics Center, which is funded by the National Institutes of Health (NIH) Office of Research Infrastructure Programs (P40 OD010440), and by the MITANI Laboratory through the National Bio-Resource Project of the MEXT, Japan. S.L. was supported in part by an International Exchange and Joint Training Grant of the Graduate School of Capital Normal University (CNU). This work was supported by a startup fund from CNU, a grant from the National Natural Science Foundation of China (grant no. 31370820), and a grant from the Beijing Municipal Education Commission (grant no. KZ201410028032) to S.O.Z.
Author contributions: S.L. and S.O.Z. designed the experiments; S.L., S.X., Y.M., S.W., Y.F., Q.C., L.C., S.Z., Y.K., X.Z., J.Y., M.W., and S.O.Z. performed the experiments; S.L. and S.O.Z. analyzed the data and wrote the manuscript. All authors read the final version of the manuscript.
Footnotes
Supplemental material is available online at www.g3journal.org/lookup/suppl/doi:10.1534/g3.116.030866/-/DC1
Communicating editor: D. S. Fay
Literature Cited
- Anderson P., 1995. Mutagenesis. Methods Cell Biol. 48: 31–58. [PubMed] [Google Scholar]
- Beller M., Sztalryd C., Southall N., Bell M., Jackle H., et al. , 2008. COPI complex is a regulator of lipid homeostasis. PLoS Biol. 6: e292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brenner S., 1974. The genetics of Caenorhabditis elegans. Genetics 77: 71–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brooks K. K., Liang B., Watts J. L., 2009. The influence of bacterial diet on fat storage in C. elegans. PLoS One 4: e7545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Butcher R. A., Ragains J. R., Li W., Ruvkun G., Clardy J., et al. , 2009. Biosynthesis of the Caenorhabditis elegans dauer pheromone. Proc. Natl. Acad. Sci. USA 106: 1875–1879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davis M. W., Hammarlund M., Harrach T., Hullett P., Olsen S., et al. , 2005. Rapid single nucleotide polymorphism mapping in C. elegans. BMC Genomics 6: 118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Mendoza D., 2014. Temperature sensing by membranes. Annu. Rev. Microbiol. 68: 101–116. [DOI] [PubMed] [Google Scholar]
- De Stasio E. A., Dorman S., 2001. Optimization of ENU mutagenesis of Caenorhabditis elegans. Mutat. Res. 495: 81–88. [DOI] [PubMed] [Google Scholar]
- De Stasio E., Lephoto C., Azuma L., Holst C., Stanislaus D., et al. , 1997. Characterization of revertants of unc-93(e1500) in Caenorhabditis elegans induced by N-ethyl-N-nitrosourea. Genetics 147: 597–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ehmke M., Luthe K., Schnabel R., Doring F., 2014. S-Adenosyl methionine synthetase 1 limits fat storage in Caenorhabditis elegans. Genes Nutr. 9: 386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fei W., Shui G., Gaeta B., Du X., Kuerschner L., et al. , 2008. Fld1p, a functional homologue of human seipin, regulates the size of lipid droplets in yeast. J. Cell Biol. 180: 473–482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fei W., Shui G., Zhang Y., Krahmer N., Ferguson C., et al. , 2011. A role for phosphatidic acid in the formation of “supersized” lipid droplets. PLoS Genet. 7: e1002201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Golden J. W., Riddle D. L., 1984. A pheromone-induced developmental switch in Caenorhabditis elegans: temperature-sensitive mutants reveal a wild-type temperature-dependent process. Proc. Natl. Acad. Sci. USA 81: 819–823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gong J., Sun Z., Wu L., Xu W., Schieber N., et al. , 2011. Fsp27 promotes lipid droplet growth by lipid exchange and transfer at lipid droplet contact sites. J. Cell Biol. 195: 953–963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Greenspan P., Mayer E. P., Fowler S. D., 1985. Nile red: a selective fluorescent stain for intracellular lipid droplets. J. Cell Biol. 100: 965–973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo Y., Walther T. C., Rao M., Stuurman N., Goshima G., et al. , 2008. Functional genomic screen reveals genes involved in lipid-droplet formation and utilization. Nature 453: 657–661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harris C. A., Haas J. T., Streeper R. S., Stone S. J., Kumari M., et al. , 2011. DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes. J. Lipid Res. 52: 657–667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hellerer T., Axang C., Brackmann C., Hillertz P., Pilon M., et al. , 2007. Monitoring of lipid storage in Caenorhabditis elegans using coherent anti-Stokes Raman scattering (CARS) microscopy. Proc. Natl. Acad. Sci. USA 104: 14658–14663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hermann G. J., Schroeder L. K., Hieb C. A., Kershner A. M., Rabbitts B. M., et al. , 2005. Genetic analysis of lysosomal trafficking in Caenorhabditis elegans. Mol. Biol. Cell 16: 3273–3288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klapper M., Ehmke M., Palgunow D., Bohme M., Matthaus C., et al. , 2011. Fluorescence-based fixative and vital staining of lipid droplets in Caenorhabditis elegans reveal fat stores using microscopy and flow cytometry approaches. J. Lipid Res. 52: 1281–1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klemm R. W., Norton J. P., Cole R. A., Li C. S., Park S. H., et al. , 2013. A conserved role for atlastin GTPases in regulating lipid droplet size. Cell Reports 3: 1465–1475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krahmer N., Guo Y., Wilfling F., Hilger M., Lingrell S., et al. , 2011. Phosphatidylcholine synthesis for lipid droplet expansion is mediated by localized activation of CTP:phosphocholine cytidylyltransferase. Cell Metab. 14: 504–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li Y., Na K., Lee H. J., Lee E. Y., Paik Y. K., 2011. Contribution of sams-1 and pmt-1 to lipid homoeostasis in adult Caenorhabditis elegans. J. Biochem. 149: 529–538. [DOI] [PubMed] [Google Scholar]
- Liang B., Ferguson K., Kadyk L., Watts J. L., 2010. The role of nuclear receptor NHR-64 in fat storage regulation in Caenorhabditis elegans. PLoS One 5: e9869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Z., Li X., Ge Q., Ding M., Huang X., 2014. A lipid droplet-associated GFP reporter-based screen identifies new fat storage regulators in C. elegans. J. Genet. Genomics 41: 305–313. [DOI] [PubMed] [Google Scholar]
- Ma D. K., Li Z., Lu A. Y., Sun F., Chen S., et al. , 2015. Acyl-CoA dehydrogenase drives heat adaptation by sequestering fatty acids. Cell 161: 1152–1163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin S., Parton R. G., 2006. Lipid droplets: a unified view of a dynamic organelle. Nat. Rev. Mol. Cell Biol. 7: 373–378. [DOI] [PubMed] [Google Scholar]
- O’Rourke E. J., Soukas A. A., Carr C. E., Ruvkun G., 2009. C. elegans major fats are stored in vesicles distinct from lysosome-related organelles. Cell Metab. 10: 430–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ploegh H. L., 2007. A lipid-based model for the creation of an escape hatch from the endoplasmic reticulum. Nature 448: 435–438. [DOI] [PubMed] [Google Scholar]
- Sato K., Ernstrom G. G., Watanabe S., Weimer R. M., Chen C. H., et al. , 2009. Differential requirements for clathrin in receptor-mediated endocytosis and maintenance of synaptic vesicle pools. Proc. Natl. Acad. Sci. USA 106: 1139–1144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schmokel V., Memar N., Wiekenberg A., Trotzmuller M., Schnabel R., et al. , 2016. Genetics of lipid-storage management in Caenorhabditis elegans embryos. Genetics 202: 1071–1083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schroeder L. K., Kremer S., Kramer M. J., Currie E., Kwan E., et al. , 2007. Function of the Caenorhabditis elegans ABC transporter PGP-2 in the biogenesis of a lysosome-related fat storage organelle. Mol. Biol. Cell 18: 995–1008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soukas A. A., Carr C. E., Ruvkun G., 2013. Genetic regulation of Caenorhabditis elegans lysosome related organelle function. PLoS Genet. 9: e1003908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Svensk E., Stahlman M., Andersson C. H., Johansson M., Boren J., et al. , 2013. PAQR-2 regulates fatty acid desaturation during cold adaptation in C. elegans. PLoS Genet. 9: e1003801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Szymanski K. M., Binns D., Bartz R., Grishin N. V., Li W. P., et al. , 2007. The lipodystrophy protein seipin is found at endoplasmic reticulum lipid droplet junctions and is important for droplet morphology. Proc. Natl. Acad. Sci. USA 104: 20890–20895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vrablik T. L., Petyuk V. A., Larson E. M., Smith R. D., Watts J. L., 2015. Lipidomic and proteomic analysis of Caenorhabditis elegans lipid droplets and identification of ACS-4 as a lipid droplet-associated protein. Biochim. Biophys. Acta 1851: 1337–1345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walker A. K., Jacobs R. L., Watts J. L., Rottiers V., Jiang K., et al. , 2011. A conserved SREBP-1/phosphatidylcholine feedback circuit regulates lipogenesis in metazoans. Cell 147: 840–852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walther T. C., Farese R. V., Jr, 2012. Lipid droplets and cellular lipid metabolism. Annu. Rev. Biochem. 81: 687–714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang P., Liu B., Zhang D., Belew M. Y., Tissenbaum H. A., et al. , 2014. Imaging lipid metabolism in live Caenorhabditis elegans using fingerprint vibrations. Angew. Chem. Int. Ed. Engl. 53: 11787–11792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilfling F., Wang H., Haas J. T., Krahmer N., Gould T. J., et al. , 2013. Triacylglycerol synthesis enzymes mediate lipid droplet growth by relocalizing from the ER to lipid droplets. Dev. Cell 24: 384–399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie M., Roy R., 2012. Increased levels of hydrogen peroxide induce a HIF-1-dependent modification of lipid metabolism in AMPK compromised C. elegans dauer larvae. Cell Metab. 16: 322–335. [DOI] [PubMed] [Google Scholar]
- Xu N., Zhang S. O., Cole R. A., McKinney S. A., Guo F., et al. , 2012. The FATP1-DGAT2 complex facilitates lipid droplet expansion at the ER-lipid droplet interface. J. Cell Biol. 198: 895–911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang H., Galea A., Sytnyk V., Crossley M., 2012. Controlling the size of lipid droplets: lipid and protein factors. Curr. Opin. Cell Biol. 24: 509–516. [DOI] [PubMed] [Google Scholar]
- Zhang P., Na H., Liu Z., Zhang S., Xue P., et al. , 2012. Proteomic study and marker protein identification of Caenorhabditis elegans lipid droplets. Mol. Cell. Proteomics 11: 317–328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang S. O., Box A. C., Xu N., Le Men J., Yu J., et al. , 2010a Genetic and dietary regulation of lipid droplet expansion in Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA 107: 4640–4645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang S. O., Trimble R., Guo F., Mak H. Y., 2010b Lipid droplets as ubiquitous fat storage organelles in C. elegans. BMC Cell Biol. 11: 96. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
Strains and data are available upon request. The authors state that all data necessary for confirming the conclusions presented in the article are represented fully within the article.