dataesr/scientific-paragraphs-categorization huggingface dataset:
1; Identities = 534/565 (95 %), five gaps (0 %)). Closest hits using the LSU sequence are Mol-lisia panicicola (as Acidomelania panicicola; strain CM16S1, GenBank KF874621. 1; Identities = 868/873 (99 %), one gap (0 %)), Mollisia novobrunsvicensis (voucher DAOMC 252263, GenBank MT026493. 1; Identities = 835 /841 (99 %), one gap tub2 sequence was used in blastn and megablast searches. (94 %), no gaps). No significant hits were obtained when the CCM F-19494, GenBank MK241457. 1; Identities = 447/ 476 = 447/476 (94 %), no gaps) and Varicosporium delicatum (strain luteo-olivacea (strain 8LF2-3, GenBank MN258352. 1; Identities MT454025. 1; Identities = 406/431 (94 %), no gaps), Cadophora Heterosphaeria patella (voucher MFLU 15-2272, GenBank Closest hits using the tef1 sequence had highest similarity to MT026522.
1; Identities = 831/840 (99 %), one gap (0 %)). (0 %)) and Mollisia rava (strain DAOMC 250737, GenBank Based on a megablast search of NCBIs GenBank nucleo-Based on a megablast search of NCBIs GenBank nucleotide tide database, the closest hits using the ITS sequence had database, the closest hit using the ITS sequence had the high-highest similarity to Ramgea ozimecii (strain CNF 2/9997, est similarity to Fusarium lateritium (strain BBA 65248, Gen-GenBank NR_164248. 1; Identities = 517/559 (92 %), ten Bank AF310980. 1; Identities = 584/588 (99 %), one gap (0 %), gaps (1 %)), Aotearoamyces nothofagi (strain PDD 95741, Cordyceps sinensis (strain SANMEI, GenBank AB067719. 1; GenBank NR_164216. 1; Identities = 518/563 (92 %), 14 gaps Identities = 583/588 (99 %), no gaps) and Fusarium lateritium (2 %)) and Pragmopora cf.
pini (voucher G. M. 2019-05-19. 1, (strain HMA-1, GenBank GU480949. 1; Identities = 582/588 GenBank MN547972. 1; Identities = 509/555 (92 %), 11 gaps (99 %), one gap (0 %). Closest hits using the LSU sequence are (1 %)). Closest hits using the LSU sequence are Pallidophorina Fusarium lateritium (strain CBS 253. 61, GenBank MH869608. 1; paarla (strain CBS 120877, GenBank NG_068607. 1; Identities Identities = 897/898 (99 %), one gap (0 %)), Fusarium lateri-= 838/862 (97 %), three gaps (0 %)), Vandijckella johannae (as tium (strain CBS 189. 31, GenBank MH866630. 1; Identities = Helotiales sp. 1; strain JW1033, GenBank LT904724. 1; Identi-896/897 (99 %), no gaps) and Fusarium equiseti (strain CBS ties = 850/876 (97 %), seven gaps (0 %)) and Variabilispora 125827, GenBank MH875256. 1; Identities = 897/899 (99 %), flava (strain CBS 144845, GenBank NG_068608.
1; Identities no gaps). Closest hits using the CaM sequence are Fusarium Identities = 658/700 (94 %), one gap (0 %)) and Fusarium floc-rium pietersiae (strain CBS 143231, GenBank MG386138. 1; LT46285. 1; Identities = 674/700 (96 %), one gap (0 %)), Fusa-quence are Fusarium salinense (strain CPC 26457, GenBank 576 (92 %), eight gaps (1 %)). Closest hits using the rpb1 se-(strain NRRL 36147, GenBank GQ505389. 1; Identities = 530/ tities = 550/598 (92 %), seven gaps (0 %)) and Fusarium sp. avenaceum (strain p12. 56. 2016, GenBank MK547650. 1; Iden-Identities = 539/579 (93 %), seven gaps (1 %)), Fusarium flocciferum (strain NRRL 45999, GenBank GQ505401. 1; = 814/841 (97 %), three gaps (0 %)). ciferum (strain NRRL 45999, GenBank HM347195. 1; Identi- ties = 629 /667 (94 %), no gaps). Closest hits using the rpb2 sequence are Fusarium salinense (strain IT 2345, GenBank MT212199.
1; Identities = 888 /902 (98 %), no gaps), Fusarium citricola (strain CPC 27813, GenBank LT746311. 1; Identities = 882 /902 (98 %), no gaps) and Fusarium citricola (strain CPC 27805, GenBank LT746310. 1; Identities = 882 /902 (98 %), no gaps). Closest hits using the tef1 sequence are Fusarium sp. (strain ICMP 5227, GenBank MG857225. 1; Identities = 642/642 (100 %), no gaps), Fusarium sp. (strain ICMP 5661, GenBank MG857291. 1; Identities = 633 /646 (98 %), seven gaps (1 %)) and Fusarium sp. (strain ICMP 1793, GenBank MG857157. 1; Identities = 633 /646 (98 %), seven gaps (1 %)). Supplementary material FP1282 & 1283 The maximum likelihood consensus tree inferred from the combined rpb1, rpb2 and tef1 sequence alignment using RAxML v. 8. 2. 9 (Stamatakis 2014). The robustness of the analysis was evaluated by boot- strap support (BS) with the number of bootstrap replicates automatically determined by the software.
The combined sequence dataset included 19 ingroup taxa with Fusarium heterosporum (CBS 391. 68) as outgroup. The dataset consisted of 4 177 characters including gaps. Additionally, MrBayes v. 3. 2. 1 (Ronquist & Huelsenbeck 2003) was used for BI to generate phyloge- netic trees under optimal criteria for each locus. A Markov Chain Monte Carlo (MCMC) algorithm of four chains was initiated in parallel from a random tree topology with the heating parameter set at 0. 3. The MCMC analysis lasted until the average standard deviation of split frequencies was below 0. 01 with trees saved every 1 000 generations. The first 25 % of saved trees were dis-FP1188 Consensus phylogram (50 % majority rule) obtained from the maximum likelihood analysis with IQ-TREE v. 1. 6. 12 (Nguyen et al. 2015, Kalyaana- Lorenzo Lombard & Pedro W.
(2020). Bootstrap support values (> 69 % shown; only values > 94 % are significant) from 5 000 ultrafast bootstrap replicates are shown at the nodes. GenBank accession (superscript; only those not listed inTennakoon et al. 2020are shown) and/or culture collection/voucher numbers are indicated for all species. The tree was rooted to Leptosphaeria doliolum (culture CBS 505. 75) and the species described here is highlighted with a coloured block and bold face. Alignment statistics: 58 strains including the outgroup; 1 479 characters including alignment gaps analysed: 556 distinct patterns, 319 parsimony-informative, 92 singleton sites, 1 068 constant sites. The best models identified in IQ-TREE were: TIM2+F+I+G4 (ITS), K2P+I+G4 (LSU). The alignment and tree were deposited in TreeBASE (Submission ID 28129).
Fungal Planet 1192 & 1193 -Falcocladium heteropyxidicola & Castanediella senegaliae (Notes Falcocladium heteropyxidicola continued) (Notes Castanediella senegaliae continued) Based on a megablast search of NCBIs GenBank nucleotide Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence had highest database, the closest hits using the ITS sequence had highest similarity to Falcocladium thailandicum (strain CBS 121717, Gen- similarity to Castanediella ambae KCR-2019a (strain NFCCI Bank NR_156241. 1; Identities = 393 /406 (97 %), five gaps 4774, GenBank MN660236. 1; Identities = 514/528 (97 %), five (1 %)), Falcocladium africanum (strain CBS 145045, GenBank gaps (0 %)), Castanediella acaciae (strain CBS 139896, Gen- NR_161117. 1; Identities = 457/503 (91 %), 29 gaps (5 %)) Bank NR_137985.
1; Identities = 528/552 (96 %), ten gaps and Falcocladium eucalypti (strain CPC 38019, GenBank (1 %)) and Castanediella cagnizarii (strain CBS 101043, Gen- NR_171288. 1; Identities = 379/404 (94 %), 15 gaps (3 %)). Bank KP859051. 1; Identities = 514/565 (91 %), ten gaps (1 %)). Closest hits using the LSU sequence are Falcocladium afri- Closest hits using the LSU sequence are Castanediella ambae canum (strain CPC 34007, GenBank MK047471. 1; Identities KCR-2019a (strain NFCCI 4774, GenBank MN660235. 1; Identi- = 857/861 (99 %), no gaps), Falcocladium sphaeropeduncu- ties = 814/824 (99 %), one gap (0 %)), Castanediella acaciae latum (strain CBS 111292, GenBank EU040218. 1; Identities (strain CBS 139896, GenBank NG_067293. 1; Identities = 843/ = 847/851 (99 %), no gaps) and Falcocladium thailandicum 854 (99 %), one gap (0 %)) and Castanediella cagnizarii (strain (strain CBS 121717, GenBank NG_057909.
1; Identities = 854/ CBS 542. 96, GenBank NG_067441. 1; Identities = 838 /854 859 (99 %), no gaps). Closest hits using the actA sequence (98 %), one gap (0 %)). had highest similarity to Falcocladium africanum (strain CBS 145046, GenBank MK047519. 1; Identities = 611/665 (92 %), 21 gaps (3 %)), Falcocladium thailandicum (strain CBS 121717, GenBank KM231261. 1; Identities = 607/660 (92 %), 18 gaps (2 %)) and Falcocladium multivesiculatum (strain CBS 120386, GenBank KM231262. 1; Identities = 394/407 (97 %), one gap (0 %)). Closest hits using the rpb2 sequence had highest simi- larity to Falcocladium africanum (strain CBS 145046, GenBank MK047533. 1; Identities = 776/830 (93 %), no gaps), Falcocla- dium eucalypti (strain CBS 146052, GenBank MN556798. 1; Identities = 731/849 (86 %), no gaps) and Trichoderma britan- nicum (strain SB, GenBank KF134786.
79, GenBank MH873001. 1; Identities = 851/853 (99 %), no gaps) and Leptospora hydei (voucher SD-02, GenBank MK522497. 1; Identities = 849/853 (99 %), no gaps). The LSU sequences of CPC 38956 and 39087 differ by the presence of one gap (796 /797 (99 %)). Closest hits using the rpb2 sequence of CPC 38956 had highest similarity to Phaeosphaeriopsis agavacearum (strain CPC 29122, GenBank KY173591. 1; Identities = 669 /714 (94 %), no gaps), Phaeosphaeriopsis triseptata (strain MFLUCC 13-0347, GenBank KJ522486. 1; Identities = 722 /818 (88 %), one gap (0 %)) and Phaeosphaeriopsis obtusispora (strain CBS 102204, GenBank KY090687. 1; Identities = 492/524 (94 %), no gaps). The rpb2 sequences of CPC 38956 and 39087 are identical (693 /693). HM148600/HM148355 Cladosporium phyllactiniicola CBS 126352 HM148639/HM148394 Cladosporium ipereniae CBS 140483 KT600589/KT600491 Cladosporium globisporum CBS 812.
FP1273 P50 % majority rule consensus phylogram obtained in MrBayes from 7 500 sampled trees after the analysis of a combined alignment of ITS rDNA, 28S rDNA and rpb2 sequences of Russula s. str. Nodes were annotated if supported by ≥ 0. 95 Bayesian PP (left) or ≥ 70 % ML BP (right). List of species and GenBank accession numbers of sequences used in this study. Fungal Planet 1274 -Simplicillium niveum 1. 00/100 0. 70/72 1. 00/100 1. 00/100 1. 00/100 1. 00/98 1. 00/95 1. 00/100 0. 71/100 1. 00/100 0. 67/84 0. 92/77 1. 00/98 1. 00/100 0. 58/89 1. 00/99 0. 93/77 1. 00/100 1. 00/100 1. 00/100 1. 00/100 0. 84/77 1. 00/100 0. 93/78 1. 00/97 1. 00/100 1. 00/99 1. 00/100 1. 00/100 0. 95/81 0. 99/76 1. 00/90 1. 00/99 1. 00/93 1. 00/92 1. 00/94 1. 00/99 1. 00/74 1. 00/72 0. 96/49 0. 95/48 1. 00/60 1.
94/57 Simplicillium calcicola LC 5586 T Simplicillium calcicola LC 5371 Simplicillium lamellicola CBS 116. 25 T 0. 98/56 Simplicillium sympodiophorum JCM 18184 T 1. 00/97 1. 00/93 Simplicillium coffeanum COAD 2057 T Simplicillium coffeanum COAD 2061 Simplicillium filiforme URM 7918 0. 93/88 Simplicillium chinense CGMCC 3. 14969 Simplicillium chinense CGMCC 3. 14970 T 1. 00/99 1. 00/93 0. 92/59 Simplicillium niveum BCC 83036 T 0. 60/-Simplicillium formicidae DL 10041 T Simplicillium formicidae DL 10042 1. 00/96 0. 1 TGibellula gamsii BCC 25798 FP1274-1 Phylogenetic tree derived from a Bayesian analysis based on a combined dataset comprising ITS and LSU sequences. The data was analysed using Bayesian inference (BI) and Maximum likelihood (ML). Bayesian phylogenetic inference was calculated with MrBayes v.
3. 2. 7a(Ronquistetal. 2012), with 3 M generations and under the GTR+I+G model. The ML analysis was run with RAxML-VI-HPC2 v. 8. 2. 12 (Stamatakis 2014) on XSEDE in the CIPRES portal (www. phylo. org). Numbers at the significant nodes represent Bayesian posterior probabilities (BPP) / RAxML bootstrap support values (ML-BS). Thickened lines in the tree represent fully supported branches (BPP = 1, ML-BS = 100). The new species is shown in bold font and a coloured box. GenBank accession numbers are provided in the supplementary table (FP1274-2). FP1274-2The accession numbers marked in bold font refer to sequences new in this study.
Planet 1282 & 1283 -Fusarium aconidiale & Fusarium juglandicola FP1282 & 1283 The 1 000 bootstrap iterations. Bayesian inference consisted of two independent runs of 10 M generations sampled every 100th generation and the first 25 % of trees discarded as burn-in. Bootstrap support values ≥ 70 % and Bayesian posterior probabilities ≥ 0. 95 are indicated by numbers close to nodes and thickened branches, respectively. The tree is rooted with Ernakulamia cochinensis (PRC 3992) and Quadricrura bicornis (CBS 125427). The novel Tetraploa species is highlighted in bold. The alignment and trees were deposited in TreeBASE (study 27855). List of strains included in this study and their GenBank accession numbers. maximumlikelihood consensus tree inferred from the combined rpb1, rpb2 and tef1 sequence alignment using RAxML v.
8. 2. 9 (Stamatakis 2014). The robustness of the analysis was evaluated by bootstrap support (BS) with the number of bootstrap replicates automatically determined by the software. The combined sequence dataset included 19 ingroup taxa with Fusarium heterosporum (CBS 391. 68) as outgroup. The dataset consisted of 4 177 characters including gaps. Additionally, MrBayes v. 3. 2. 1(Ronquist& Huelsenbeck 2003)was used for BI to generate phylogenetic trees under optimal criteria for each locus. A Markov Chain Monte Carlo (MCMC) algorithm of four chains was initiated in parallel from a random tree topology with the heating parameter set at 0. 3. The MCMC analysis lasted until the average standard deviation of split frequencies was below 0. 01 with trees saved every 1 000 generations. The first 25 % of saved trees were discarded as the 'burn-in' phase and posterior probabilities (PP) were determined from the remaining trees.
Acknowledgments: This work is financed by  ValorCast  project,  PDR2020 program , Ref. n. º  PDR2020-101-032035 , and by  National Funds  through the  FCT-Foundation for Science and Technology , I. P. , within the scope of the project Refª  UIDB/00681/2020. Furthermore, we would like to thank the  CERNAS Research Centre  and the  Polytechnic Institute of Viseu  for their support. This work was accepted for presentation at the  Conference of Multidisciplinary Research (Viseu, July 2021)  under the title "Development of a new pasta product incorporating chestnut flour and bee pollen".
The almost-complete 16S rRNA gene sequence of strain For3 T was extracted from the genome sequence and represented a sequence of 1448 nucleotides long. It was deposited in GenBank/EMBL/DDBJ under the accession number MW479423. Strain For3 T was most closely related to Streptomyces pratensis ATCC 33331 T , Streptomyces anulatus ATCC 27416 T , Streptomyces setonii NRRL ISP-5322 T and Kitasatospora papulosa NRRL B-16504 T  [9]  with 99. 93% 16S rRNA gene sequence similarity. High levels of 16S rRNA gene sequence similarity were previously reported within the genus Streptomyces  [10, 11] , demonstrating that it is difficult to differentiate Streptomyces species by 16S rRNA gene sequences. Phylogenetic analysis based on the 16S rRNA gene sequences of strain For3 T and its closest species (determined by blastn) was performed after alignment of sequences using the ClustalW program  [12].
Neighbour-joining (Fig. 1 ) and maximum-likehood phylogenetic trees were built using mega7 software (Fig. S1 , available in the online version of this article)  [13]. The stability of the grouping was estimated by bootstrap analysis (1000 replicates). The results showed that strain For3 T represents a new branch in both neighbourjoining and phylogenetic trees. Strain For3 T fell within the Fig. 1. Phylogenetic tree of type strains closely related to strain For3 T (in bold) based on 16S rRNA gene sequences. The evolutionary history was inferred by mega 7. 0  [34]  using the neighbour-joining method  [35]. There were a total of 1315 positions in the final dataset. Bar represents 0. 002 substitutions per nucleotide position. Strain For3 T is highlighted in bold. genus Streptomyces and was closely related to S.
pratensis ATCC 33331 T , S. anulatus ATCC 27416 T , S. setonii NRRL ISP-5322 T and K. papulosa NRRL B-16504 T with whom it formed a subgroup. Genomic DNA was extracted using PureLink Genomic DNA Mini Kit (Invitrogen) according to manufacturer's instructions. DNA was quantified using the ND-1000 spectrophotometer (NanoDrop Technologies). DNA quality was controlled after electrophoresis on a 0. 8% (w/v) agarose gel made in Tris-acetate-EDTA buffer. Genomic DNA was sequenced using a NovaSeq system (Illumina) and was performed by Novogene (Cambridge, UK). The obtained genome sequence was annotated by using the rast server (Rapid Annotation using Subsystem Technology; https:// rast. nmpdr. org/) and deposited at DDBJ/ENA/GenBank under the accession number JAERUC000000000. Comparisons between the For3 T genome and those of its closest relatives available in GenBank are presented in Table  1.
Materials The data collection was conducted during the Socio-economic Impact Assessment of DEEP (SIADEEP 4 ) 2014-2017. Two contrasting geographical areas were investigated that included most of the DEEP interventions: Beni Suef (old land) and Beheira (NRL) (Figure  3 ). In these areas, three types of locations were investigated: villages with an MCC-DEEP, villages where an MCC-DEEP was planned in 2014, and control villages not related to DEEP. Multiple data collections were used to mobilise the conceptual framework summarised in Table  1  and detailed in the paragraphs below.
Using Gephi (an open-source network analysis and visualisation software), representations and statistical data on this network were produced evaluating the impact of MCC establishment. At the end of the diagnosis, three participatory workshops (Table  1, D ) in 2016 explored the farmers' perceptions of the evolution of the local milk market, milk quality, and hygiene practices. Nine inhabitants of Halabeya were selected according to their role in the dairy SYAL, their gender, and age. This participatory workshop included dairy small-scale producers ( fellahin), veterinarians, MCC-DEEP staff, cooperative managers, cooperative members, non-cooperative members, milk traders, feed traders, and animal traders.
Method A systemic approach underlies the use of the conceptual framework on the IB case study. The first step focused on understanding and analysing the IB value chain and the supply chain (filière) in which it is embedded. Dedicated attention was paid to exploring the diversity of stakeholders, the links binding them, and the power asymmetries among them. For that, we combined data extracted from the farmers' (A) and dairy enterprises' monitoring (B) to support a descriptive statistical analysis. 5  The analysis of the SYAL aimed at describing and understanding IB anchorage and impact within a territory. Data extracted from the social network analysis provided a dynamic statistical description of agricultural services' evolution in the village (C). To validate and enrich this source of data, participatory workshops were organised (D).
Such raw data were used in the analysis, but for graphical display, we instead used estimations of bacterial loads per fly obtained by adjusting a Poisson generalized linear model, where the number of CFU is predicted from dilution. To estimate the bacterial load upon death (BLUD) (2), infected hosts were checked every 30 min, and newly dead flies were collected and homogenized, with bacterial load quantified as described above  (2). Bacterial load 24 h after the host death was quantified from individuals kept in closed sterile microtubes. To estimate early growth in the wild type and growth postdeath, we extracted the estimates of the effect of the variable time and their standard error from the models used to analyze the growth of each strain. To estimate early growth in the wild-type compared to immunodeficient strain, we extracted the estimates of the interactions between time and D.
melanogaster lines from the model used to analyze the difference in growth in the control line versus immunodeficient line of each strain. Statistical analyses. We carried out all analyses using R (65). We analyzed differences in survival (time-to-death curves) using the R packages Survival and coxme  (66). We used the coxme routine, which allows inclusion of random effects in a Cox model, to model variability among day of experiments and replicated vials. We determined how host survival is affected by bacterial mutations by comparing a Cox model including mutation status as a fixed effect to a model without this fixed effect. We extracted the hazard ratio from this survival model to compare survival among strains, taking into account experimental replications. We analyzed the differences in bacterial load within the host using general linear mixed models (GLMM) implemented in the package spaMM with the function fitme  (67).
host genotypes, and Adam Dobson and Jennifer Regan for their comments on the manuscript. D. D. was supported by the French Laboratory of Excellence project "TULIP" (ANR-10-LABX-41 and ANR-11-IDEX-0002-02), by the People Program (Marie Curie Actions) of the European Union's Seventh Framework Program (FP7/2007-2013) under REA grant agreement no. PCOFUND-GA-2013-609102, through the PRESTIGE program coordinated by Campus France, and by the LIA BEEG-B (Laboratoire International Associé-Bioinformatics, Ecology, Evolution, Genomics and Behavior) (CNRS). V. M. was supported by "Investissement d'Avenir" grants managed by the French Agence Nationale de la Recherche (CEBA, reference no. ANR-10-LABX-25-01). J. B. F. and N. P. were supported by "Project New Frontiers" from the French Laboratory of Excellence project "TULIP" (ANR-10-LABX-41 and ANR-11-IDEX-0002-02).
The family Cactaceae comprises a diverse group of typically succulent plants that are native to the American continent but have been introduced to nearly all other continents, predominantly for ornamental purposes. Despite their economic, cultural, and ecological importance, very little research has been conducted on the viral community that infects them. We previously identified a highly divergent geminivirus that is the first known to infect cacti. Recent research efforts in non-cultivated and asymptomatic plants have shown that the diversity of this viral family has been under-sampled. As a consequence, little is known about the effects and interactions of geminiviruses in many plants, such as cacti. With the objective to expand knowledge on the diversity of geminiviruses infecting cacti, we used previously acquired high-throughput sequencing results to search for viral sequences using BLASTx against a viral RefSeq protein database.
Infectivity Assays One isolate of each virus was used for the infectivity assays. The OpV1 isolate infectious clone construction has been previously described  [15]. The OpV2 isolate DBG_56 (GenBank accession MT840871) was used for the infectious clone, and this genome was recovered from an Opuntia basilaris sample from the Desert Botanical Garden (Phoenix, AZ, USA) collected in 2018. The Opuntia-derived becurtovirus isolate S18_40 (GenBank accession MT840851) that was recovered from an Opuntia aciculata sample growing in an urban area in Tempe (Arizona, USA) in 2018 was used to construct the infectious clone. Specific primers were designed to amplify two copies of each Opuntia-derived geminivirus that were cloned in tandem to the binary vector pJL-89  [52] , excluding the 35S promoter region of the vector, using the Gibson assembly  [53]  (New England Biolabs, Ipswich, MA, USA), as previously described by Ferro et al.
Viral Particle Purification and Transmission Electron Microscopy Approximately 100 g of N. benthamiana leaf material 45 days post-inoculation with the OpV2 infectious clone (GenBank accession MT840871) was homogenized in 100 mL of extraction buffer (1 × PBS, 10 mg/mL sodium ascorbate, 2 mM PMSF, 1 mM EDTA). The homogenate was filtered through two layers of miracloth and two layers of cheesecloth, and subsequently centrifuged three times for 30 min at 14,800 rpm until clear. The clear homogenate was centrifuged for 4 h at 32,000 rpm using a Beckman 32 Ti rotor (Beckman, USA) onto a 10% sucrose cushion, and the pellet was resuspended in 1 mL of 1× PBS. Ten microliters of the resuspended pellet was absorbed onto carbon-coated copper grids for 2 min, washed three times, and stained with 2% uranyl acetate.