Results
and Discussion 124
ENT-1 and ENT-2 work together to regulate reproduction 125
In human, four ENT members exhibit varying tissue abundance and subcellular distribution 126
(Baldwin et al., 2004). C. elegans possesses seven ENT family members: ENT-1 to ENT-7. 127
Despite significant separation in the phylogenetic tree and limited amino acid sequence similarity 128
between C. elegans ENTs and human ENTs (Fig 1A), the predicted protein structures of ceENTs 129
based on AlphaFold2 are highly conserved with human ENT1 (Fig 1B) (Wright and Lee, 2019). 130
Among C. elegans ENTs, ENT-6 appears relatively divergent from others, while ENT-4, ENT-5, 131
and ENT-7 are relatively close to each other (Fig 1A). ENT-1 and ENT-2 exhibit a notably close 132
relationship (Fig 1A) and share 84% identity in exon sequences and 94% in amino acid 133
sequences (Appleford et al., 2004), which has been previously suggested to result from a 134
relatively recent gene duplication event (Sankar et al., 2002). 135
136
In C. elegans adulthood, only germline cells continue to undergo proliferation and division. To 137
investigate whether successful reproduction depends on nucleoside transport from other tissues 138
into the germline, we examined reproduction in worms where ENTs were knocked down by 139
RNA interference (RNAi). We found that RNAi knockdown of either ent-1 or ent-2 but not other 140
ents reduces the total progeny number (Figs 1C-E). RNAi knockdown of either ent-1 or ent-2 141
reduced the number of progenies in the first two days of the reproductive period, but increased 142
the number afterward, leading to an extension in the duration of the reproductive process 143
(reproductive lifespan) (Figs 1F and 1G). 144
145
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Our previous studies revealed that C. elegans exhibits different reproductive strategies when 146
exposed to different types of bacteria (Lee et al., 2023; Sowa et al., 2015). Specifically, wild-147
type worms grown on OP50 E. coli have extended reproductive lifespan, in comparison with 148
those grown on HT115 E. coli that is commonly used for RNAi. We thus examined the effect of 149
ent-1 and ent-2 RNAi knockdown on reproduction in the background of OP50 E. coli. We 150
observed a similar extension of reproductive lifespan, however the reduction in the total progeny 151
number did not reach significance (S1A and S1B Figs). 152
153
Next, to confirm the result of RNAi inactivation, we utilized the CRISPR-Cas9 technique 154
(Dickinson and Goldstein, 2016) to generate knockout mutant strains for both ent-1 (ent-1KO) and 155
ent-2 (ent-2KO) (S1C Fig). We found that in the background of either OP50 or HT115 E. coli, the 156
reproductive pattern of the ent-1KO mutant is indistinguishable from WT, while the ent-2KO 157
mutant slightly increased the progeny number on the third day of the reproductive period (S1D- 158
S1G Figs). Further RT-qPCR analysis revealed elevated ent-2 mRNA levels in the ent-1 KO 159
mutant, and increased ent-1 mRNA levels in the ent-2 KO mutant (S1H, and S1I Figs), which 160
suggests that the loss of one transporter leads to the compensatory induction of the other one. In 161
supporting this idea, we found that the double mutant of ent-1 KO and ent-2 KO exhibited complete 162
sterility with developmental delay and vulva protrusion, which is consistent with previous 163
observations (Appleford et al., 2004). We also knocked down ent-2 by RNAi in the ent-1 164
knockout mutant (ent-1KO;ent-2KD) or knocked down ent-1 by RNAi in the ent-2 knockout 165
mutant (ent-1KO;ent-2KD). We found that under both conditions, the brood size is largely reduced 166
(Figs 1H and 1I). The phenotype associated with ent-1KO;ent-2KD is much stronger, close to 167
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8
being sterile (Fig 1H, S2A Fig). These results suggest that ENT-1 and ENT-2 transporters 168
function together to regulate reproduction. 169
170
Germline ENT-1 and intestinal ENT-2 coordinate to regulate reproduction 171
To identify the functional tissues where these two ENTs act to regulate reproduction, we first 172
examined their expression pattens. We generated two CRISPR knock-in lines in which 173
endogenous ENT-1 and ENT-2 is tagged with mNeonGreen and wrmscarlet at the C-terminus, 174
respectively (S2B and S2C Figs). Using these lines, we revealed that ENT-1 expresses in the 175
germline and intestine, and ENT-2 expresses in gonadal sheath cells and the intestine (Figs 2A, 176
2B and S2D, S2E Figs). Next, we restored the expression of either ent-1 or ent-2 specifically in 177
the intestine of the ent-1KO or ent-2 KO mutant, and then performed RNAi knock down of either 178
ent-2 or ent-1, respectively. We found that the intestine-specific restoration of ent-2, but not ent-179
1, increases the brood size in the worms with both ent-1 and ent-2 knockdown (Figs 2C, 2D). In 180
parallel, we restored the expression of ent-2 specifically in gonadal sheath cells of the ent-2 KO 181
mutant and knocked down ent-1 by RNAi. We found this restoration does not rescue the 182
reduction in the brood size (Fig 2E). We also attempted to restore the expression of ent-1 in the 183
germline of the ent-1 KO mutant but failed to obtain a stable line. 184
185
We thus applied an auxin-inducible degradation (AID) system (Zhang et al., 2015) to deplete 186
ENT-1 proteins selectively in the germline. The AID system utilized a plant-specific F-box 187
protein that recognizes degron-tagged substrates upon auxin binding and induces their 188
degradation by proteasome (Fig 2F). We generated a CRISPR knock-in line in which 189
endogenous ENT-1 is tagged with degron and V5 tag at the N-terminus (S2F Fig), and 190
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subsequently crossed this line with TIR1 tissue-specific expressing lines, germline (gld-191
1p::TIR1::mRuby) and intestine (ges-1p::TIR1::mRuby) (Fig 2F). In these crossed lines, the 192
auxin treatment resulted in selective degradation of ENT-1 in the germline or intestine (S2H 193
Fig). With RNAi knockdown of ent-2, we observed that auxin-induced germline-specific 194
depletion of ENT-1 resulted in a 2-fold reduction in brood size compared to the control without 195
the auxin treatment (Fig 2G). In contrast, the intestine-specific depletion of ENT-1 did not 196
reduce the brood size compared to the control (Fig 2H), which is consistent with the result using 197
the intestine-specific rescuing strain (Fig 2C). 198
199
We have also generated the degron-tagged ent-2 CRISPR knock-in line and crossed it with the 200
ent-1KO mutant (Fig S2G). This strain was further crossed with the TIR1 tissue-specific 201
expressing lines, gonadal sheath cell (lim-7p::TIR1::mRuby) and intestine (ges-202
1p::TIR1::mRuby) (Fig 2F). In these crossed lines, the treatment of auxin induces specific 203
degradation of ENT-2 either in the gonadal sheath cells or intestine (Fig S2I). Consistent with 204
the findings using tissue-specific rescuing strains, we found that the depletion of ent-2 205
specifically in the intestine led to a largely reduced brood size (Fig 2I), while the depletion in 206
gonadal sheath cells does not affect brood size (Fig 2J), when compared to the controls. 207
Together, these results demonstrated that ENT-1 and ENT-2 function in the germline and 208
intestine, respectively to regulate reproduction in a coordinated manner. 209
210
snRNA-seq profiling reveals the effect of ENTs on purine metabolism 211
Following our identification of the synergistic effect between ENT-1 and ENT-2 and their tissue-212
specificity, we next sought to understand how they coordinate the intestine and the germline to 213
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regulate reproduction. To this end, we conduced single-nuclei RNA sequencing (snRNA-seq) 214
analysis and profiled cell type-specific transcriptomic changes in the ent-1KO, ent-2KO, and ent-215
1KO;ent-2KD worms. Approximately 3,000 worms were collected for each condition, and nuclei 216
were isolated using fluorescence-activated cell sorting (FACS) and profiled using the 10X 217
Genomics platform (Gao et al., 2024). Following pre-processing, cell filtering, and quality 218
control, we obtained 56,992 single-nucleus transcriptome profiles, which were subsequently 219
annotated into 14 distinct cell types (Fig 3A). Analysis of cell composition across these 220
conditions revealed a notable decrease in the proportion of germline cells and a higher proportion 221
of somatic cells collected from the ent-1KO;ent-2KD worms (Fig 3B), which is consistent with the 222
reduced brood size. 223
224
We further conducted germ cell pseudotime inference analysis (Gao et al., 2024), to examine 225
changes in the germline composition. This analysis allowed us to construct a pseudotemporal 226
order of germ cells (S3A Fig), where the x-axis signifies pseudotime denoting the progression 227
from germline stem cells (GSCs) through mitotic cells and meiotic cells to mature oocytes. We 228
found that the GSC number is increased in the ent-1KO single mutant but decreased in the ent-2KO 229
single mutant (S3A Fig), suggesting distinctive alterations in germline homeostasis despite the 230
absence of brood size changes in these single mutants. Moreover, in the ent-1KO;ent-2KD worms, 231
we observed an increased proportion of germ cells in proliferation stages, including GSC and 232
those in the mitotic zone (Fig 3C). In contrast, the proportion of cells in the meiosis stage was 233
decreased (Fig 3C), while the transition zone remained unchanged. These results suggest a 234
defect in germ cell differentiation associated with the loss of both ENT-1 and ENT-2. 235
236
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We also performed the differential expressed gene (DEG) analysis to reveal molecular changes 237
in the germline upon the loss of ENT-1 and ENT-2. 716 DEG genes were identified through the 238
comparison between ent-1KO;ent-2KD worms and their controls, with a significance cutoff of p 239
adjust value 0.5. Among these genes, 302 were upregulated, while 240
412 were downregulated (Fig 3D). The Gene Ontology (GO) pathway analysis of the 241
downregulated genes in the germline of the ent-1KO;ent-2KD worms highlighted pathways 242
associated with cell cycle, chromosome organization, and mRNA processing, which is likely 243
resulted from the loss of differentiated germ cells in these worms (S3B Fig). When analyzing the 244
upregulated genes, we found that GO terms related to purine metabolism are overrepresented in 245
the ent-1KO;ent-2KD germline (Fig 3E). 246
247
A series of purine metabolic genes in both de novo and recycling pathways are conserved in C. 248
elegans (Marsac et al., 2019) (Fig 3F). When analyzing their expression levels using the snRNA-249
seq data, we found that most purine metabolic genes showed trends of up-regulation in the ent-250
1KO;ent-2KD germline (Fig 3G), while genes encoding enzymes involved in the de novo pathway 251
showed trends of down-regulation in the intestine (Fig 3H). However, no clear trends of changes 252
detected in other somatic tissues such as hypodermis and muscle (S3C and S3D Figs). 253
Furthermore, when analyzing conserved metabolic genes in the pyrimidine pathway (Fig 3I), we 254
did not observe an obvious trend of alterations in their expression in either the germline or 255
intestine of the ent-1KO;ent-2KD worms (Figs 3J and 3K). 256
257
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Together, these results suggest that the level of purine, rather than pyrimidine, is likely altered in 258
the germline and intestine upon the loss of both ENT-1 and ENT-2, leading to compensatory 259
transcriptional alterations of purine biosynthesis genes. 260
261
ENT-mediated guanosine transport regulates reproduction 262
To directly assess whether purine and pyrimidine nucleoside levels change in association with 263
the ENT deficiency, we employed targeted metabolomic analysis by liquid chromatograph 264
coupled with mass spectrometry (LC/MS). We compared guanosine, adenosine, inosine, and 265
cytidine levels in ent-1KO, ent-2KO, and ent-1KO;ent-2KD worms with their controls. The levels of 266
uridine and thymidine are below the detection sensitivity. Interestingly, we observed that the 267
proportion of guanosine is decreased by ~20% and ~30% in the ent-1KO and ent-2KO single 268
mutants, respectively (Fig 4A). In the ent-1KO;ent-2KD worms, the decrease is close to be 3-fold 269
(Fig 4A). For the other two purine nucleosides, adenosine and inosine, their proportion exhibited 270
the opposite trend (Figs 4B and 4C). On the other hand, the proportion of cytidine did not show 271
significant alterations in either ent-1KO, ent-2KO, or ent-1KO;ent-2KD worms compared to their 272
controls (Figs 4D). It is worth noting that no reduction in the brood size was observed in the ent-273
1KO or ent-2KO single mutant, despite the decrease in guanosine. Hence, the germline is tolerant 274
to a certain level of reduction in guanosine levels while sustaining normal reproduction, but 275
exceeding this threshold would result in reproductive defects. 276
277
These results support the predominant role of ENT-1/2 in regulating purine especially guanosine 278
homeostasis. When integrating the tissue-specificity of ENT-1/2, the germline-specific 279
transcriptional up-regulation of purine metabolic genes, and the guanosine reduction, we 280
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hypothesized that ENT-2 functions in the intestine to export guanosine into the body 281
cavity/pseudocoelom, while ENT-1 is responsible for the uptake of guanosine into the germline 282
(Fig 4E). The loss of ENT-2 in the intestine results in reduced guanosine availability in the 283
pseudocoelom, while the loss of ENT-1 in the germline compromises the uptake of guanosine 284
from the pseudocoelom. With the single mutation of either ent-1 or ent-2, the reduction of 285
guanosine in the germline does not reach the threshold for severe disruption of reproduction. 286
However, this reduction threshold will be met with the simultaneous loss of ENT-1 and ENT-2 287
(Fig 4F). 288
289
In supporting this hypothesis, we confirmed that ENT-2::wrmscarlet predominantly localizes at 290
the basolateral plasma membrane of the intestine (S2E Fig), while ENT-1::mNeonGreen is 291
positioned at the plasma membrane in the germline (S2D Fig). We also injected guanosine or 292
adenosine into the pseudocoelom at the fourth larval (L4) stage to increase their levels in the 293
pseudocoelom. We found that the microinjection of 1mM guanosine can increase the brood size 294
in the ent-1KO;ent-2KD worms, but adenosine microinjection showed no effect in restoring 295
reproduction (Fig 4G). However, feeding of either guanosine or adenosine was not able to rescue 296
the brood size in the ent-1KO;ent-2KD worms (Fig 4H). We also tried directly injecting 297
nucleosides into the germline of the ent-1KO;ent-2KD worms; however, the severe disruption in 298
germline morphology prevented this attempt. These results highlighted the importance of 299
guanosine levels in the pseudocoelom in the regulation of reproduction (Fig 4F). 300
301
In summary, our study underscores the significance of guanosine communication between the 302
soma and germline in the control of reproduction, as well as the pivotal role played by specific 303
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SLC transporters in mediating this cell non-autonomous metabolite communication. SLC 304
transporters are highly conserved in humans and exhibit diverse tissue-specificity, and their 305
mutations have been associated with human diseases. Current research of these mammalian 306
homologs focuses on identifying their substrates and understanding their cell-autonomous 307
regulatory functions. It would be interesting to explore how their cell non-autonomous 308
coordination contributes to mammalian physiology and pathology in future studies. 309
310
Materials and methods
311
C. elegans strains and maintenance 312
The strains N2, CA1352 (ieSi64 [gld-1p::TIR1::mRuby::gld-1 3 UTR + Cbr-unc-119(+)] II), 313
and CA1209 (ieSi61 [ges-1p::TIR1::mRuby::unc-54 3'UTR + Cbr-unc-119(+)] II), and 314
MQD2383 (hqSi11 [lim-7p::TIR1::mRuby::unc-54 3' UTR + Cbr-unc-119(+)] II; daf-315
2(hq363[daf-2::degron::mNeonGreen]) unc-119(ed3) III), were obtained from CGC. 316
317
Knockout mutants MCW1244 (ent-1(rax74) IV) and MCW1245 (ent-2(rax75)X) were generated 318
in our lab by using CRISPR/Cas9 technology, as previous outlined by Chen et al. (Chen et al., 319
2014), Paix et al.(Paix et al., 2015) and Arribere et al.(Arribere et al., 2014) with modifications. 320
Briefly, a mixture containing tracrRNA (1μg/μl), crRNAs (0.5μg/μl each for one on the 5' and 321
one on the 3' of the target gene), dpy-10 crRNA (0.16μg/μl), and Cas9 protein (0.05μg/μl) was 322
microinjected into the gonads of N2 young adult animals. Each injected worm was then placed 323
on individual plates, and the non-Dpy F1 progenies from the plates which contains animals with 324
Dpy phenotypes were individualized to single plates for further analysis. After confirming the 325
deletion region through PCR and Sanger sequencing of F1 animals, homozygous F2 animals 326
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carrying the knockout mutation were selected and individualized. The knockout deletion strains 327
were backcrossed to wild-type N2 for at least four times before running reproductive 328
experiments. 329
330
Strains that carry extrachromosomal arrays: MCW1589(ent-2(rax75)X; raxEx624[lim-7p::ent-331
2cds::sl2RFP::tbb-2 3'UTR; lin-44p::GFP], MCW1634(ent-1(rax74) IV; raxEx628[ges-1p::ent-332
1cds:sl2RFP::unc-54 3'UTR; lin-44p::GFP], MCW1636(ent-2(rax75)X; raxEx630[ges-1p::ent-333
2cds:sl2RFP::unc-54 3'UTR; lin-44p::GFP] were generated by microinjecting DNA mixture 334
containing linearized expression construct and co-injection marker lin-44p::GFP into the 335
corresponding gonad of ent-1 or ent-2 knockout young adult animals. 336
337
PHX4218(ent-1(syb4218) ent-1::mNeonGreen IV), PHX5055(ent-2(syb5055) ent-338
2::wrmscarlet::3Xflag X), PHX7376(ent-1(syb7376) 3XV5::degron::ent-1 IV), PHX7457(ent-339
2(syb7457) 3XHA::degron::ent-2 X) were generated via CRISPR/Cas9 genome editing by 340
SunyBiotech (Fuzhou, China). 341
342
MCW1638 (syb7376[3XV5::degron::ent-1]IV; ieSi61 [ges-1p::TIR1::mRuby::unc-54 3'UTR + 343
Cbr-unc-119(+)]II) and MCW1639 (syb7376[3XV5::degron::ent-1]IV; ieSi64 [gld-344
1p::TIR1::mRuby::gld-1 3'UTR + Cbr-unc-119(+)] II) were generated by crossing PHX7376 345
with CA1209 or CA1352. 346
347
MCW1640 (syb7457[3XHA::degron::ent-2]X; ieSi61 [ges-1p::TIR1::mRuby::unc-54 3'UTR + 348
Cbr-unc-119(+)] II and MCW1641 (syb7457[3XHA::degron::ent-2]X; ent-1(rax74) IV; hqSi11 349
II[lim-7p::TIR1::mRuby::unc-54 3' UTR + Cbr-unc-119(+)] II) were generated by crossing 350
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PHX7457 with CA1209 or the strain hqSi11 [lim-7p::TIR1::mRuby::unc-54 3' UTR + Cbr-unc-351
119(+)] II which were obtained from crossing MQD2383 and N2. 352
353
MCW1643 (syb7457[3XHA::degron::ent-2]X; ent-1(rax74) IV; ieSi61 [ges-354
1p::TIR1::mRuby::unc-54 3'UTR + Cbr-unc-119(+)] II and MCW1644 355
(syb7457[3XHA::degron::ent-2]X; ent-1(rax74) IV; hqSi11 II[lim-7p::TIR1::mRuby::unc-54 3' 356
UTR + Cbr-unc-119(+)] II) were generated by crossing MCW1640 or MCW1641 with 357
MCW1244. 358
359
All the C. elegans strains were grow and maintained non-starved for at least three generations at 360
20˚C on NGM agar plates seeded with OP50 E.coli using standard protocols (Stiernagle, 2006) 361
before experiments. The E. coli strain HT115 (DE3) and OP50 RNAi strain (OP50 bacteria 362
[rnc14::DTn10 laczgA::T7pol camFRT] generated by our lab (Neve et al., 2020) were used for 363
RNAi experiments. 364
365
RNA interference (RNAi) experiments 366
RNAi libraries from Dr. Julie Ahringer's lab were utilized in the study (Kamath and Ahringer, 367
2003). RNAi clones for ent-1, ent-2, ent-3, ent-5, and ent-6 were obtained from the Ahringer 368
library. RNAi clones for ent-4 and ent-7 were created in our lab using L4440 as the vector 369
backbone and ent-4 or ent-7 transcript fragments as inserts. For OP50 RNAi experiments, RNAi 370
plasmids were transformed into the genetically modified competent OP50 bacteria 371
[rnc14::DTn10 laczgA::T7pol camFRT], generated by our lab (Neve et al., 2020). All RNAi 372
colonies were selected for resistance to both 50 µg ml−1 carbenicillin and 50 µg ml−1 373
tetracycline. RNAi bacteria were cultured for 14 hours in LB with 25 µg ml−1 carbenicillin, then 374
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17
seeded onto RNAi agar plates containing 1 mM IPTG and 50 µg ml−1 carbenicillin. Each RNAi 375
bacteria clone was allowed to dry on the plates before overnight incubation at room temperature 376
to induce dsRNA expression. 377
378
Molecular cloning of expression construct 379
All the expression plasmids were generated via the Gibson Assembly (NEB). The ent-1 and ent-380
2 coding sequences were PCR-amplified from C. elegans cDNA and then fused together with 381
sl2-RFP sequence by fusion PCR. The ent-1::sl2RFP and ent-2::sl2RFP fragments were then 382
ligated into the tissue-specific promoter vectors. 383
384
Measure the brood size 385
Synchronized L1 worms obtained from egg preparation were placed onto 6cm NGM plates, each 386
seed with corresponding bacteria for the experimental condition, and then incubated at 20 °C. 387
Upon reaching the L4 stage, individual worms were transferred to new plates. Subsequently, they 388
were transferred to new plates every day until reproduction ceased. Plates with progenies were 389
stored at 20°C until progeny reached the L4 stage for counting. Total brood size was determined 390
by summing viable progeny produced daily by each worm. 391
392
Structural stimulation by AlphaFold2 393
AlphaFold2 predictions for the structures of ceENT-1 (UniProt: G5EDJ3) and ceENT-2 394
(UniProt: Q93871) were retrieved from The AlphaFold Protein Structure Database 395
(https://alphafold.ebi.ac.uk/) (Jumper et al., 2021; Varadi et al., 2022). Molecular graphics for 396
human ENT1, ceENT-1, and ceENT-2 were generated using UCSF Chimera (Pettersen et al., 397
2004). 398
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399
Auxin treatment 400
The L1 worms were places on the NGM plates seeded with bacteria containing auxin 4mM 401
indole-3-acetic acid (IAA), following the protocol outlined by Zhang et al.(Zhang et al., 2015). A 402
400 mM stock solution of IAA in ethanol was prepared, filtered through a 0.22µm filter, and 403
stored at 4°C for up to 1 month. This stock solution was diluted into NGM plates at a ratio of 404
1:100. Control plates were prepared by diluting ethanol into NGM plates at the same ratio. Fresh 405
bacteria were then seeded onto the plates and stored at room temperature for 1 day to allow 406
bacterial growth. The plates containing auxin were kept in a dark place to prevent photolysis. 407
408
RT-qPCR 409
Total RNA was extracted from approximately 3000 age synchronized D1 worms using Trizol 410
homogenization, chloroform phase separation, isopropanol precipitation, and subsequent 411
washing with 75% ethanol. 412
cDNA synthesis utilized the amfiRivert Platinum cDNA Synthesis Master Mix (GenDEPOT), 413
followed by quantitative PCR with the Kapa SYBR fast qPCR kit (Kapa Biosystems) in a 96-414
well Eppendorf Realplex 4 PCR machine (Eppendorf). 415
All presented data are from at least six independent biological samples and were normalized to 416
rpl-32 as an internal control. 417
418
Fluorescent microscopy 419
C. elegans were immobilized in 1% sodium azide in M9 buffer and positioned on a 2% agarose 420
pad between a glass microscopic slide and coverslip for imaging. Endogenous ENT-421
1::mNeonGreen and ENT-2::wrmscarlet expression patterns were visualized using a Nikon CSU-422
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W1 spinning disk confocal microscopy system equipped with a 20x objective, oil immersion 60x 423
and 100x objective. Degron-mediated protein degradation was assessed using a laser scanning 424
confocal FV3000 (Olympus, US) with an oil immersion 60x objective. 425
426
Injection of nucleoside into the pseudocoelom 427
Stock solutions of nucleosides are stored at 100mM in DMSO at -20°C for up to 1 month. Fresh 428
1mM nucleoside injection solutions are prepared before each injection by dissolving the 100mM 429
stock solution in egg buffer [118 mM NaCl, 48 mM KCl, 2 mM MgCl2, 2 mM CaCl2, and 25 430
mM Hepes (pH 7.3)] at a ratio of 1:100. The control injection solution consists of DMSO 431
dissolved at a ratio of 1:100. Mid-stage L4 animals were injected with either the nucleoside 432
solution or DMSO control solution into the pseudocoelom , with the injection needle inserted 433
into the pharyngeal region. Successful injection is confirmed by the observation of liquid flow in 434
the pseudocoelom. 435
436
Immunostaining 437
Approximately 200 Adult animals were initially transferred to unseeded NGM plates to 438
minimize bacterial presence. M9 solution containing 0.4μM levamisole was then added to 439
immobilize animals on the plates. Subsequently, these animals, along with the M9 solution 440
containing 0.4μM levamisole, were transferred to a glass dissection plate for dissection. 441
Dissection involved using two 25 gauge syringe needles to extrude the gonad arm and intestine 442
completely. The dissected worms were fixed with 4% PFA for 10 minutes at room temperature 443
in darkness, followed by washing twice with PBST and post-fixation in −20°C methanol for 1 444
hour. After three washes with PBST, the specimens were then blocked with 5% BSA in PBST 445
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for 30 minutes. Following blocking, a 200μL volume of primary antibody solution (in PBST) 446
[anti-HA antibody (1:200): HA-Tag (C29F4) Rabbit mAb #3724; anti-V5 antibody (1:200): V5 447
Tag Monoclonal Antibody (SV5-Pk1) (R960-25)] was applied and incubated overnight at 4°C. 448
The cut worms were then washed three times with PBST and incubated with secondary antibody 449
[1:500 dilution of Alexa 488 conjugated antibodies from Invitrogen] for 1 hour at room 450
temperature. After three additional washes with PBST, the specimens were resuspended in a 451
glycerol antifade reagent and mounted on agarose pads before imaging. 452
453
Nucleoside dietary supplementation 454
For dietary nucleoside supplementation, nucleoside powder was dissolved directly to a final 455
concentration of 100mM in standard NGM liquid medium immediately prior to pouring into 456
plates. These plates were then seeded with RNAi E. coli and allowed to grow overnight before 457
use. 458
459
Single-nucleus RNA sequencing analysis 460
Nuclei Isolation 461
We followed the nuclei isolation protocol similar to that described by Gao et al.(Gao et al., 462
2024). Briefly, worms were washed three times with PBS, collected in 1.5 mL tubes, and 463
homogenized in 100 μl of homogenization buffer (Li et al., 2022) using a pestle motor on ice. To 464
prevent nuclei adhesion, all equipment was pre-coated with homogenization buffer or PBS. The 465
homogenate was further processed in an autoclaved Dounce tissue grinder, with sequential 466
strokes using loose and tight pestles to ensure thorough disaggregation without foaming. After 467
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21
filtering through cell strainers, the nuclei were pelleted by centrifugation, resuspended in PBS 468
with additives, and prepared for sorting. 469
Nuclei Sorting 470
The nuclei were stained with Hoechst 33342 for DNA content visualization and sorted using a 471
Sony MA800 sorter. Gating of sorting was the same as describe by Gao et al. (Gao et al., 2024). 472
Post-sorting, nuclei were checked for concentration and morphology before proceeding with 10X 473
Chromium Controller. 474
Library Preparation and Sequencing 475
The quality-checked nuclei were encapsulated using a 10X Chromium Controller, and libraries 476
were prepared according to the 10X Chromium Single Cell 3’ v2/v3 Solution protocol, selecting 477
appropriate indexing options. Sequencing was performed on a NovaSeq 6000 system, using 26 478
cycles for Read 1, 8 cycles for the i7 index, and 98 cycles for Read 2, as recommended. 479
Single-nucleus RNA-seq Data Preprocessing 480
Raw sequences were processed using Cell Ranger 6.0 (10x Genomics), aligned to the C. elegans 481
genome (WS282), and assembled into feature-barcode matrices. Doublet exclusion was 482
performed per 10X Genomics guidelines, utilizing Doubletfinder for accurate detection. 483
Subsequent analyses, including data integration, dimensional reduction, and clustering, were 484
conducted using Seurat 4.0.5 to identify and characterize cell populations. 485
Cell Type Annotation and Analysis 486
For cell type annotation, we predominantly employed a reference-based mapping approach using 487
the SingleR package (Aran et al., 2019), which allowed us to automatically match the expression 488
profiles of our cells to those from established reference datasets. This analysis predominantly 489
linked cell clusters to specific tissues, as evidenced by previous single-nucleus RNA sequencing 490
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22
datasets produced by Gao et al. (Gao et al., 2024). We further enhanced cell type specificity by 491
employing the FindMarkers function within Seurat to identify distinctive marker genes for each 492
cluster. These markers were then cross-referenced with microscopy-based expression profiles 493
and literature-reported tissue markers to confirm cell type assignments. For enrichment analysis 494
and further validation of our findings, we utilized tools available on Wormbase (Angeles-495
Albores and Sternberg, 2018). 496
In addition to broad classification, we also focused on the germline cells, isolating them into a 497
separate Seurat object. This subset underwent a similar analysis pipeline, where we identified 498
highly variable genes and performed CCA integration followed by dimensional reduction and 499
clustering to determine germline subclusters. This refined analysis enabled us to explore cell 500
development within the germline specifically. 501
Germline Trajectory Analysis 502
Utilizing the refined germline cluster data, we applied Slingshot for trajectory analysis, which 503
utilized cluster labels and UMAP embeddings to construct cell lineages and ascertain pseudotime 504
trajectories. This analysis revealed the developmental progression from germline stem cells, 505
showing low pseudotime values, to mature oocytes, which displayed high pseudotime values. 506
We correlated these pseudotime findings with nuclei counts reported in the literature (Diag et al., 507
2018), allowing us to map each cluster to specific stages of germline development. This dual 508
analysis of pseudotime distribution and developmental status percentage provided a 509
comprehensive view of germline cell differentiation. 510
Differential Expression and Gene Ontology Analysis 511
To identify differentially expressed genes (DEGs) across various cell states and conditions, we 512
used Seurat's FindMarkers function, employing a Wilcoxon rank-sum test with thresholds set for 513
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23
adjusted p-values below 0.05 and |log2 fold changes| greater than 0.5. Subsequent gene ontology 514
analysis was performed using the ClusterProfiler package, which helped to understand the 515
biological processes and pathways significantly associated with the identified DEGs. To visually 516
compare gene expression across different samples and conditions, we used the DotPlot function 517
within Seurat, facilitating an intuitive display of data that highlights specific gene expression 518
changes. 519
520
Targeted metabolic analysis of nucleosides 521
Sample collection: 522
Around 5000 C. elegans in each condition were collected in the bead beater tubes (Sarstedt Inc 523
Screw Cap Micro tube 2ml) with 250 µL RNAlater Stabilization Solution (Invitrogen: AM7021) 524
and 10µg/ml of tetrahydrouridine to prevent rapid deamination of the nucleosides (Persaud et al., 525
2023) and then snap freezing in liquid nitrogen which were stored at -80°C until use. 526
Nucleosides extraction and purification 527
Nucleosides were extracted from the samples following a previously outlined method (He et al., 528
2019) with some modifications. Briefly, RNAlater Stabilization Solution was removed from 529
thawed samples, and 250 µL LC-MS H2O with RNase Inhibitor and beads were added to the 530
samples for homogenization with a bead beater. After homogenization, the sample was 531
transferred to a 2 mL tube. pH adjustment to 8.5 was done using ammonium in methanol, 532
followed by addition of methanol at a ratio of 1:4 (v:v). The mixture was then centrifugated at 533
14,000 rpm for 20 min at 4 °C after vortexing for 3 min. The supernatant was collected and dried 534
using SpeedVac. Each dried sample was dissolved then in 250 μL water. 535
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24
For nucleoside purification, each sample was loaded onto an OASIS HLB cartridge (Waters 536
Corp., Milford, MA, USA) activated 3 times with water and methanol. After loading, cis-diol 537
compounds were eluted with 250 μL 2.8% ammonium hydroxide (NH4OH) in methanol, 538
repeated 3 times. Eluates were then dried using SpeedVac 539
Dried samples were reconstituted in 100 μL water, centrifuged at 14,000 rpm for 10 min at 4 °C, 540
and the clear upper solution was transferred to an LC vial for LC-MS analysis. 541
LC-MS/MS Analysis 542
The experiments were performed on an Orbitrap Fusion Lumos Tribrid Mass Spectrometer 543
equipped with Ion Max API source housing with HESI-II probe and Vanquish UHPLC System 544
(ThermoFisher Scientific). The separation was performed on an ACQUITY UPLC HSS T3 545
column (100 × 2.1 mm i.d., 1.8 μm) (Waters Corp., Milford, MA, USA) at a flow rate of 0.2 546
mL/min with column temperature of 40 °C (mobile phase A: 0.1% FA in water, mobile phase B: 547
0.1% FA in acetonitrile). The gradient was as follows: 0-3 min, 0-2.8% B; 3-9 min, 2.8%-10% 548
B; 9-9.5 min, 10-30% B; 9.5-9.8 min, 30-60% B; 9.8-9.9, 60% B; 9.9-10 min, 60-0% B (He et 549
al., 2019). The targeted mode (parallel reaction monitor, PRM) was applied with Orbitrap MS 550
acquired a full-scan survey in positive mode (m/z: 140-1300, automatic gain control target: 551
standard, maximum injection time mode: auto, resolution at m/z 200: 120,000, the default charge 552
state: 1, followed by tMS2 with precursor ions list of nitrogenous bases (mass range: normal, 553
automatic gain control target: standard, maximum injection time mode: auto, Orbitrap with 554
resolution at m/z 200: 60,000, collision-induced dissociation (CID) collision energy (%): 30 with 555
activation time: 10 ms. Maximum injection time: 118 ms). 556
LC-MS/MS Data analysis 557
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25
The raw files were analyzed by Skyline (Adams et al., 2020; Henderson et al., 2018; MacLean et 558
al., 2010). The transition list was generated, applied and peak area was extracted and calculated 559
by Skyline. All the samples were normalized based on protein concentrations. The sample 560
concentration was calculated based on the standard curve. 561
562
Quantification and statistical analysis 563
Data were expressed as mean ± standard error of the mean (s.e.m.) and analyzed using GraphPad 564
PRISM. Student’s t-test (unpaired) compared the means of two groups. One-way ANOVA or 565
two-way ANOVA followed by Holm–Sidak’s or Holm-Bonferroni’s corrections, as indicated in 566
the figure legends, were applied. Statistical significance in figure legends is denoted by asterisks: 567
ns (not significant, p > 0.05), *p<0.05; **p<0.01, ***p<0.001, ****p<0.0001. Detailed 568
information on sample size, biological replicates, and statistical analysis for each experiment is 569
provided in the figure legends. Figures and graphs were generated using BioRender, GraphPad 570
Prism 10 (GraphPad Software), and Illustrator (CC 2019; Adobe). The researchers were not 571
blinded during experiments or outcome assessment. 572
573
Acknowledgements
574
We thank A. Dervisefendic and P. Svay for their assistance with worm strain maintenance. We 575
thank I. Neve for the great help in generating CRISPR knockout strains. Several strains were 576
obtained from the Caenorhabditis Genetics Center (CGC), which is supported by the NIH Office 577
of Research Infrastructure Programs (P40 OD010440). M.C.W. receives current support from 578
Howard Hughes Medical Institute. 579
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26
580
Author Contributions 581
Conceptualization: Youchen Guan and Meng C. Wang 582
Data Curation: Youchen Guan 583
Formal analysis: Youchen Guan 584
Funding acquisition: Meng C. Wang 585
Investigation: Youchen Guan, Yong Yu, Shihong M. Gao, Lang Ding Qian Zhao, and Meng C. 586
Wang 587
Methodology: Youchen Guan and Meng C. Wang 588
Project administration: Meng C. Wang 589
Supervision: Meng C. Wang 590
Validation: Youchen Guan 591
Writing – original draft: Youchen Guan 592
Writing – review & editing: Meng C. Wang 593
594
595
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Figure Legends 596
Fig 1. Specific ENT transporters regulate reproduction 597
(A) Phylogenetic analyses of human and C. elegans ENTs using protein sequences obtained from 598
Uniprot. 599
(B) Comparison between human ENT1 structure (Wright and Lee, 2019), and C. elegans ENT-1 600
(ceENT-1) and ENT-2 (ceENT-1) structures predicted by AlphaFold2. 601
(C) RNA inference (RNAi) knockdown of ent-1 reduces brood size compared to the empty 602
vector (EV) control. n = 22 (EV), n = 26 (ent-1 RNAi). 603
(D) RNAi knockdown of ent-2 reduces brood size compared to the EV control. n = 28 (EV), n = 604
31(ent-2 RNAi). 605
(E) RNAi knockdown of ent-3, ent-4, ent-5, ent-6, or ent-7 does not affect brood size compared 606
to the EV control. n = 17 (EV), n = 17 (ent-3 RNAi), n = 15 (ent-4 RNAi), n = 16 (ent-5 607
RNAi), n = 15 (ent-6 RNAi), n = 16 (ent-7 RNAi). 608
(F) RNAi knockdown of ent-1 alters the daily progeny number compared to the EV control. n = 609
22 (EV), n = 26 (ent-1 RNAi). 610
(G) RNAi knockdown of ent-2 alters the daily progeny number compared to the EV control. n = 611
28 (EV), n = 31(ent-2 RNAi). 612
(H) The ent-1 knockout (ent-1KO) mutant with ent-2 RNAi knockdown (ent-2KD) largely reduces 613
the brood size and daily progeny number, compared to the control. n = 20 (ctrl), n = 22 (ent-614
1KO; ent-2KD). 615
(I) The ent-2 knockout (ent-2KO) mutant with ent-1 RNAi knockdown (ent-1KD) reduces the 616
brood size and daily progeny number, compared to the control. n = 11 (ctrl), n = 10 (ent-2KO; 617
ent1KD). 618
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RNAi condition: HT115 E. coli (C-G); Statistics: *p<0.05; **p<0.01, ***p<0.001, 619
****p0.05. Student’s t-test (unpaired, two-tailed) was applied for C-E, and the 620
brood size graphs in H, I. Two-way ANOVA with Bonferroni’s post hoc test for F-G, and the 621
daily progeny graphs H, I. Data shown as mean ± S.E.M. 622
623
Fig 2. Germline ENT-1 and intestinal ENT-2 cooperate in regulating reproduction 624
(A) (B) The expression patterns of endogenously labeled ENT-1::mNeonGreen and ENT-625
2::wrmscarlet visualized in their CRISPR knock-in strains. Scale bar: 100 µm. White 626
arrowheads indicate intestine; hollow white arrowhead indicates germline, and white arrows 627
designate gonadal sheath cells. 628
(C) Intestine-specific restoration of ent-1 expression does not rescue the reduced brood size in 629
the ent-1KO mutant with ent-2 RNAi knockdown. 630
(D) Intestine-specific restoration of ent-2 expression rescues the reduced brood size in the ent-631
2KO mutant with ent-1 RNAi knockdown. 632
(E) Restoration of ent-2 expression in somatic gonadal sheath cells does not rescue the reduced 633
brood size in the ent-2KO mutant with ent-1 RNAi knockdown. 634
(F) Illustration of auxin-induced degradation of endogenous ENT-1 tagged with 3XV5 tag and 635
degron and ENT-2 tagged with 3XHA tag and degron in the intestine (ges-1 promoter), in 636
the germline (gld-1 promoter) and gonadal sheath cell (lim-7 promoter). 637
(G) Auxin-induced germline-specific degradation of ENT-1 together with ent-2 RNAi 638
knockdown reduces the brood size. n = 23 (-Auxin), n = 23 (+Auxin). 639
(H) Auxin-induced intestine-specific degradation of ENT-1 together with ent-2 RNAi 640
knockdown does not reduce the brood size. n = 23 (-Auxin), n = 23 (+Auxin). 641
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(I) Auxin-induced intestine-specific degradation of ENT-2 in the ent-1KO mutant decreases the 642
brood size. n = 30 (-Auxin), n = 30 (+Auxin). 643
(J) Auxin-induced intestine-specific degradation of ENT-2 in the ent-1KO mutant does not affect 644
the brood size. n = 30 (-Auxin), n = 30 (+Auxin). 645
RNAi condition: HT115 E. coli (C, D, E, G, H). Statistic: *p<0.05; **p<0.01, ***p<0.001, 646
****p0.05. Student’s t-test (unpaired, two-tailed) between control group and 647
experimental group was applied for the brood size graphs shown in C, D, E, G, H, I, J. Data 648
were shown as mean ± S.E.M. 649
650
651
Fig 3. SnRNA-seq profiling reveals the regulation of purine metabolism by ENT-1/2 652
(A) The Uniform Manifold Approximation and Projection (UMAP) plot displays fourteen cell 653
types in ctrl, ent-1KO, ent-2KO, and ent-1KO; ent-2KD worms. 654
(B) The percentage of different cell types in total captured cells shows decreased germline nuclei 655
in ent-1KO; ent-2KD worms. 656
(C) The proportion of nuclei within various regions of the germline among total germline nuclei 657
is compared between control and ent-1KO; ent-2KD worms 658
(D) The Volcano plot shows differentially expressed genes in the germline when comparing ent-659
1KO; ent-2KD worms vs. their controls. 660
(E) Gene ontology (GO) enrichment analysis of the up-regulated genes in the germline of ent-661
1KO; ent-2KD worms compared to their controls. The red box highlights GO terms involved in 662
purine metabolism. 663
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(F) Schematic illustration of C. elegans homologous genes involved in purine metabolism, both 664
de novo and salvage pathways, based on the previous study (Marsac et al., 2019). 665
(G, H) Dot plots show the relative expression levels of genes associated with purine metabolism 666
in the germline (G) and intestine (H). The size of dots indicates the percentage of nuclei 667
expressing the gene, and the color indicates the average expression level. 668
(I) Schematic illustration of C. elegans homologous genes involved in pyrimidine metabolism 669
pathways. 670
(J, K) Dot plots show the relative expression levels of genes associated with pyrimidine 671
metabolism in the germline (J) and intestine (K). 672
673
674
Fig 4. Guanosine specifically contributes to the regulation of reproduction by ENT-1/2 675
(A-D) The percentages of guanosine (A), adenosine (B), inosine (C), and cytidine (D) among all 676
nucleosides measured by LC/MS are compared among control, ent-1KO, ent-2KO, and ent-677
1KO;ent-2KD worms. n = 4 (ctrl), n = 5 (ent-1KO), n = 5 (ent-2KO), n = 4 (ent-1KO;ent-2KD). 678
(E) A summary model illustrating the coordinated regulation of the reproductive process by 679
ENT-2 mediated export of nucleosides from the intestine to the pseudocoelom and ENT-1 680
mediated uptake of nucleosides from the pseudocoelom to the germline. 681
(F) Illustration represents possible changes in guanosine levels in the intestine, pseudocoelom, 682
and germline under different conditions, including ctrl, ent-1KO, ent-2KO, ent-1KO;ent-2KD, 683
and ent-1KO;ent-2KD with pseudocoelom guanosine microinjection. 684
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(G) Microinjection of guanosine but not adenosine partially rescues the reduced brood sizes of 685
ent-1KO;ent-2KD worms. n = 22 (DMSO vehicle), n = 34 (Guanosine), n = 22 (1mM 686
Adenosine). 687
(H) Oral supplementation of neither guanosine nor adenosine rescues the reduced brood sizes of 688
ent-1KO;ent-2KD worms. n = 20 (DMSO vehicle), n = 20 (Guanosine), n = 20 (Adenosine). 689
690
Statistic: *p<0.05, ***p<0.001, ****p0.05. One-way ANOVA with Holm–Sidak 691
correction (A-D). Student’s t-test (unpaired, two-tailed) between control group and experimental 692
group (G-H). Data shown as mean ± S.E.M. 693
694
Supporting information 695
S1 Fig. ENT-1 and ENT-2 regulate reproduction independent of bacterial inputs. 696
(A) RNAi knockdown of ent-1 on OP50 bacteria alters the daily progeny number compared to 697
the EV control. n = 17(EV), n = 16(ent-1 RNAi). 698
(B) RNAi knockdown of ent-2 on OP50 bacteria alters the daily progeny number compared to 699
the EV control. n = 17(EV), n = 16(ent-2 RNAi). 700
(C) Genome illustrations of ent-1KO and ent-2KO mutants. 701
(D) ent-1KO mutants on OP50 bacteria show no significant alteration of daily progeny number or 702
brood size compared to wild type (WT) worms. n = 23(N2), n = 22(ent-1KO). 703
(E) ent-2KO mutants on OP50 bacteria show no significant alteration of daily progeny number or 704
brood size compared to WT. n = 18(N2), n = 18(ent-2KO). 705
(F) ent-1KO mutants on HT115 bacteria show no significant alteration of daily progeny number or 706
brood size compared to WT. n = 28(N2), n = 27(ent-1KO). 707
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32
(G) ent-2KO mutants on HT115 bacteria show no significant alteration of daily progeny number or 708
brood size compared to WT. n = 22(N2), n = 22(ent-2KO). 709
(H) (I)RT-qPCR analysis shows that the ent-2 mRNA level is upregulated in the ent-1KO mutant 710
(H), and the ent-1 mRNA level is elevated in ent-2KO (I). n = 6 biologically independent 711
samples in each condition. 712
Statistic: **p<0.01, ***p<0.001, ****p0.05. Student’s t-test (unpaired, two-713
tailed) was applied for the brood size graphs in A, B, D, E, F and G, and RT-qPCR results in H 714
and I. Two-way ANOVA with Bonferroni’s post hoc test for the daily progeny graphs in A, B, 715
D, E, F and G. 716
Data shown as mean ± S.E.M. 717
718
S2 Fig. Germline ENT-1 and intestinal ENT-2 cooperate in regulating reproduction 719
(A) Bright-field images show sterile ent-1KO; ent-2KD mutants and their controls. Scale bar: 100 720
µm. 721
(B, C) Diagrams showing CRISPR knock-in strains: ent-1::mNeonGreen (B), ent-2::wrmscarlet 722
(C). 723
(D, E) Endogenous localization of ENT-1::mNeonGreen in the germline and intestine (D) and 724
ENT-2::wrmscarlet in gonadal sheath cells and the intestine (E). Scale bar: 50 µm. 725
(F, G) Diagrams showing CRISPR knock-in strains: degron::ent-1 (F) and degron::ent-2 (G). 726
(H)(I) Immunostaining results show the efficiency of tissue-specific degron-mediated protein 727
degradation induced by the Auxin treatment in the degron::ent-1 strain (H) and in the 728
degron::ent-2 strain (I). Scale bar: 50 µm. 729
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33
S3 Fig. Changes in the germline and other tissues in association with the loss of ENT-1 and 730
ENT-2 731
(A) Pseudotime density plots illustrate the distribution of germ cell nuclei across different 732
pseudotime points for control, ent-1KO, ent-2KO, and ent-1KO; ent-2KD worms. 733
(B) Gene ontology enrichment analysis of biological processed was performed on the down-734
regulated expressed genes in the germline of ent-1KO; ent-2KD worms compared to their 735
controls, revealing pathways related to cell cycle and division are overrepresent. 736
(C) (D) Dotplots show the relative expression levels of genes that are associated with purine 737
metabolism of control, ent-1KO, ent-2KO, and ent-1KO; ent-2KD animals in the hypodermis (C) 738
and muscle (D). 739
740
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742
743
Adams, K.J., B. Pratt, N. Bose, L.G. Dubois, L. St John-Williams, K.M. Perrott, K. Ky, P. 744
Kapahi, V. Sharma, M.J. MacCoss, M.A. Moseley, C.A. Colton, B.X. MacLean, B. 745
Schilling, J.W. Thompson, and C. Alzheimer's Disease Metabolomics. 2020. Skyline for 746
Small Molecules: A Unifying Software Package for Quantitative Metabolomics. J 747
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