Table 2 The relationship between IMP3 and p53 signatures^ in tuba

Table 2 The relationship between IMP3 and p53 signatures^ in tubal epithelia Case group (No.) # IMP3 signatures (%) # p53 signatures (%) # Conc (%) # Discord (%) # Indep (%) Benign (60) 0 0  

    w/STIC (48) 15 (31) 20 (53) 5(33) 4(27) 6(40) w/oSTIC(62) 10 (16) 18 (47) 4(40) 4(40) 2(20) ^IMP3 or p53 signature is defined by either moderate or strong immunostainings in benign appearing tubal epithelia. Compared to the benign and cancer cases without STIC, the number of IMP3 signature was significantly higher in the tubal epithelia of the cases with STIC with p values of < 0.0001 and < 0.05, respectively. #Conc: the number of concordance; #Discord: the number of discordance; #Indep: the number of independent signatures of IMP3 and p53. STIC: serous tubal intraepithelial carcinoma.

w/: with; w/o: without. The concordance, discordance, and independent rate were calculated from the IMP3 signature Cell Cycle inhibitor data after comparing the cases with p53 signature. The reverse relationship OSI-027 cell line was not evaluated in this study. IMP3 and p53 Expression in STIC The positive IMP3 overexpression was defined as more than 10% of the target cells showing at least moderate intensity staining in the cytoplasm [29], while p53 positivity was defined as more than 75% of intense nuclei staining of the target cells [32]. Among the 48 patients with areas of STIC we studied, we observed positive Sitaxentan IMP3 in 22 (46%) and p53 overexpression in 40 (83%) cases, respectively. The positive expression of IMP3 in STIC

ranged from 15% to 100% cancer cells with an average of 45.5%. Among the 22 IMP3 positive cases in STIC, 17 (77%) were positive and five (23%) were negative for p53 staining. Within the same 48 STIC patients, eight (17%) cases showed negative expression for both IMP3 and p53. The representative pictures of IMP3 and p53 for STIC and the corresponding data are presented in Figure 3 and Table 3. Figure 3 IMP3 and p53 overexpression in serous tubal intraepithelial carcinoma (STIC). STIC (top panel) was strongly positive for both p53 (mid panel) and IMP3 (low panel). Apparently, this case showed more intraepithelial cancer cells were positive for p53 than those of IMP3. However, some of the neoplastic cells were positive for both p53 and IMP3 (right side of the mid and low panels). Original magnifications: left panel, 40x; right panel, 200x. Table 3 IMP3 and p53 immunoreactivity in STIC and invasive HGSC     Invasive HGSC of ovary   STIC W/ STIC W/O STIC   No. (%) cases P No. (%) cases P No. (%) cases P IMP3+ 22 (46)   20 (42)   25 (40)   IMP3- 26 (54) 0.82 28 (58) 0.56 37 (60) 0.71 p53+ 40 (83)   42 (88)   53 (85)   p53- 8 (17) < 0.01 6 (12) < 0.01 9 (15) < 0.01 IMP3+/p53+ 17 (35)   17 (35)   19 (31)   IMP3+/p53- 5 (10) <0.05 3 (6) <0.05 7 (11) <0.05 IMP3-/p53+ 18 (38)   20 (42)   28 (45)   IMP3-/p53- 8 (17) 0.26 8 (17) 0.16 9 (15) 0.

27 Grap T, Rieger T, Blomers C, Schapers T, Grutzmacher D, Lepsa

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and evaporation of gold beaded films on sapphire. Appl Phys A 2005, 81:673–677. 10.1007/s00339-005-3254-9CrossRef 30. Ruffino F, Grimaldi MG: Atomic force microscopy study of the growth mechanisms of nanostructured sputtered Au film on Si(111): evolution with film thickness and annealing time. J Appl Phys 2010, 107:104321(1)-104321(10). 31. Abraham DB, Newman selleck chemicals llc CM: Equilibrium Stranski-Krastanow and Volmer-Weber models. Europhysics Lett 2009, 86:16002(p1)-16002(p4). CH5424802 mw 32. Gao L, Hirono Y, Li M-Y, Jiang W, Song S, Koo S-M, Kim E-S, Wang ZM, Lee J, Salamo GJ: Observation of Ga metal droplet formation on photolithographically patterned GaAs (100) surface by droplet epitaxy. IEEE Trans Nanotechnol 2012, 11:985–991.CrossRef 33. Ziad Y, Abu W, Wang ZM, Lee JH, Salamo GJ:

Observation of Ga droplet formation on (311)A and (511)A GaAs surfaces. Nanotechnology 2006, 17:4037–4040. 10.1088/0957-4484/17/16/007CrossRef 34. Lee J, Wang Z, Hirono Y, Kim E-S, Kim N, Park S, Cong W, Salamo GJ: Various configurations of In nanostructures on GaAs (100) by droplet epitaxy. Cryst Eng Comm 2010, Etomidate 12:3404–3408. 10.1039/c0ce00057dCrossRef 35. Mao S, Ming-Yu L, Eun-Soo K, Jihoon L: Annealing temperature effect on self-assembled Au droplets on Si (111). Nanoscale Res Lett 2013, 8:525. 10.1186/1556-276X-8-525CrossRef 36. Lee JH, Wang ZM, Salamo GJ: Observation of change in critical thickness of In droplet formation on GaAs(100). J Phys Condens Matter 2007, 19:176223. 10.1088/0953-8984/19/17/176223CrossRef

37. Li M-Y, Sui M, Kim E-S, Lee J: Droplets to merged nanostructures: evolution of gold nanostructures by the variation of deposition amount on Si(111). Cryst Growth Des 2014, 14:1128–1134. 10.1021/cg401604qCrossRef 38. Sui M, Li M-Y, Kim E-S, Lee J: Mini droplets to super droplets: evolution of self-assembled Au droplets on GaAs(111)B and (110). J Appl Crystallogr 2014, 47:1–6. 10.1107/S1600576714001770CrossRef 39. Ruffino F, Torrisi V, Marletta G, Grimaldi MG: Growth morphology of nanoscale sputter-deposited Au films on amorphous soft polymeric substrates. Appl Phys A 2011, 103:939–949. 10.1007/s00339-011-6413-1CrossRef 40. Matthias S, Adeline B, Volker K¨o, Ezzeldin M, Kai S, Gunthard B, Jan P, Monika R, Andr’e R, Berit H, Gerd H, Peter M¨u-B, Ralf R¨o, Rainer G, Norbert S, Roth SV: From atoms to layers: in situ gold cluster growth kinetics during sputter deposition. Nanoscale 2013, 5:5053–5062. 10.1039/c3nr34216fCrossRef 41.

05 aYes versus no The multivariate model A and model B in Table 4

05 aYes versus no The multivariate model A and model B in Table 4 examined the predictive power of UPE <0.4 g/day at 1 year for renal survival after adjusting for pathological

predictors in the Oxford classification and HG, respectively. A UPE <0.4 g/day at 1 year was selected as an independent predictor in both model A and model B. Adverse effects Serious adverse events were not observed Vactosertib in vitro during the study period. Although three patients developed type 2 diabetes during the 6 months of treatment, they showed normal levels of glycosylated HbA1 at 1 year with diet therapy alone. Seven patients developed infections during the steroid therapy: five bacterial infections (tonsillitis, pharyngitis) and two viral infections (influenza). Two females became pregnant during the follow-up and maintained a stable renal function. Discussion The goal of this study was to identify the level of proteinuria

after steroid therapy associated with a favorable renal outcome in IgAN patients. Previous studies by Reich et al. [4], Hwang et al. [5], or Le et al. [6] have demonstrated that the average level of proteinuria during the whole period of follow-up (A-P) was significantly associated with the renal outcome, providing a targeted proteinuria during long-term follow-up. In contrast, we identified a therapeutic indicator of a favorable renal outcome as an early response to the steroid therapy, which might be more practical than A-P, whereas it was not analyzed in the previous studies. We adopted 1 year as the time PLX-4720 purchase to assess the attenuated proteinuria, since another Cox model in our cohort revealed that the values for proteinuria at 1 year were significantly associated with the outcome, whereas those at baseline or 6 months were not (data not shown). In this study, the spline model revealed that the threshold

UPE predicting the outcome was approximately 0.4 g/day. In addition, a multivariate Cox model including the categorized UPE at 1 year revealed that not only the Disappeared category Liothyronine Sodium but also the Mild category were significantly associated with favorable renal survival relative to the Severe category. Therefore, attenuated proteinuria <0.4 g/day at 1 year after treatment can lead to a favorable outcome, as well as the disappearance of proteinuria. The predictive power of UPE <0.4 g/day at 1 year for renal survival was confirmed even after adjusting for pathological predictors determined by the multivariate model (Table 4). Concerning the impact of clinical remission at an early phase on the renal outcome, Tatematsu et al. [20] showed that clinical remission within 2 years after 6 months of steroid therapy was associated with limiting the eGFR decline.

Res Vet Sci 2000, 68:75–78 PubMedCrossRef 9 Friedman CR, Hoekstr

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H, Li M: Increasing E1 Activating inhibitor fluoroquinolone resistance in Campylobacter jejuni, Pennsylvania, USA, 1982–2001. Emerg Infect Dis 2002, 8:1501–1503.PubMedCentralPubMedCrossRef 12. Uaboi-Egbenni PO, Bessong PO, check details Samie A, Obi C: Prevalence, haemolysis and antibiogram of Campylobacters isolated from

pigs from three farm settlements in Venda region, Limpopo province, South Africa. Afri J Biotechnol 2011,7(4):703–711. 13. Gupta A, Nelson JM, Barrett TJ, Tauxe RV, Rossiter SP, Friedman CR, Joyce KW, Smith KE, Jones TF, Hawkins MA, Shiferaw B, Beebe JL, Vugia DJ, Rabatsky-Ehr T, Benson JA, Root TP, Angulo FJ, NARMS Working Group: Antimicrobial resistance among Campylobacter strains, United States, 1997–2001. Emerg Infect Dis 2004, 10:1102–1109.PubMedCentralPubMedCrossRef 14. Shlim DR, Hoge CE, Rajah R, Scott RM, Pandy P, Echeverria P: Persistent high risk of diarrhea among foreigners in Nepal during the first 2 years of residence. Clin Infect Dis 1999,29(3):613–616.PubMedCrossRef 15. Ghimire L, Dhakal S, Pandeya YR, Chaulagain S, Mahato BR, Satyal RC: Assessment of pork handlers’ knowledge and hygienic status of pig meat shops of Chitwan district focusing campylobacteriosis

risk factors. Int J Infect Microbial 2013, 2:17–21. 16. WHO/CDS/CSR/DRS: Antibiotic Resistance: Synthesis of Recommendation by Expert Policy. World Health Organisation; 2001. http://​www.​who.​int/​drugresistance/​Antimicrobial_​resistance_​recommenda%20​tions_​of_​expert_​polic.​pdf 17. Riaz S: Antibiotic susceptibility pattern and multiple antibiotic resistances (MAR) calculation Depsipeptide of extended spectrum β-lactamase (ESBL) producing Escherichia coli and Klebsiella species in Pakistan. Afr J Biotechnol 2011,10(33):6325–6331. 18. Pearce RA, Wallace FM, Call JE, Dudley RL, Oser A, Yoder L, Sheridan JJ, Luchansky JB: Prevalence of Campylobacter within a swine slaughter and processing facility. J Food Prot 2003, 66:1550–1556.PubMed 19. ESR (Institute of Environmental Science & Research Limited): Risk profile: Campylobacter jejuni/coli in red meat. 2007, Prepared as a part of a New Zealand Food Safety Authority contract for scientific services. http://​www.​foodsafety.​govt.

PubMed 11 Ereshefsky L, Jhee S, Phillips D, et al Assessment of

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Reproducibility and discriminatory power of the subtyping methods

Reproducibility and discriminatory power of the subtyping methods Table 1 shows the subtyping results of isolates used to evaluate the reproducibility, the discriminatory power and the ability to recognize same-type groups of isolates using PFGE and fAFLP. Isolates included in the study as duplicates gave indistinguishable fAFLP types and PFGE types (Table 1). Table 1 also shows that distinct PFGE types and fAFLP types

were observed in each groups of isolates associated find more with outbreak or sporadic cases, except for TS isolates group 03: PFGE type 120/191 was detected in L. monocytogenes TS67, TS56 (duplicate of TS77) and TS 39, but displayed two different fAFLP types i.e. VII.27 and VII.27a. These 2 fAFLP types were indistinguishable except

for a small additional ‘shoulder’ after a double peak of 206 base pairs, as seen on the PeakScanner scan, present in strains TS39 and TS67 (type VIIa.27a) but not in isolate TS56 (type VIIa.27). To rule out any fluorescent artefacts, the 3 isolates were processed in triplicate on separate occasions and the fAFLP profile obtained by each replicate was always the same, including the ‘shoulder’ at 206 bp with strains TS39 and TS67. Both subtyping methods separated the isolates into three distinct BAY 63-2521 solubility dmso groups correlating with L. monocytogenes genetic lineages I, II and III (Figure 1; Figure 2; Figure 3). The 11 reference strains, including the 8 CLIP and the 3 fully sequenced strains, were classified by both fAFLP and PFGE, into the expected genetic lineages (Figure 1; Figure 2; Dichloromethane dehalogenase Figure 3). The discriminatory power of fAFLP and PFGE was evaluated using 97 isolates including field strains, references strains, sporadic cases and representative isolates from each outbreak. The ID calculated from the typing results of fAFLP and PFGE is shown in Table 3. The ID calculated from fAFLP typing was 0.993 and from PFGE typing 0.996. Both typing techniques were found to be more discriminatory for L. monocytogenes Lineage II than for those of lineage I. Figure 2 Dendogram

of similarity for 86 L. monocytogenes isolates based on Apa I-PFGE type using the Dice coefficient and UPGMA. Figure 3 Dendogram of similarity for 86 L. monocytogenes isolates based on Asc I-PFGE type using the Dice coefficient and UPGMA. H: human, F: food ; E: environment ; A: animal. Table 3 PFGE and fAFLP typing results from a panel of 97 L. monocytogenes isolates with index of discrimination (ID) L. monocytogeneslineages Serogroups1or serotype2 Number of isolates Number of PFGE3types PFGE ID4 Number of fAFLP3types fAFLP ID4 I IVb 35 36 0.988 33 0.981 IIb 11 II IIa 45 45 0.995 43 0.989 IIc 5 III 4a 1 1 n/a 1 n/a Total: 97 82 0.996 76 0.993 1 Serogrouping performed by multiplex PCR [4]: results are from both the European Reference Laboratory (EURL) for L. monocytogenes and the UK National Reference laboratory (UK-NRL) for Listeria. 2 Based on sero-agglutination performed by EURL.

Normality was assessed using the Kolmogorov-Smirnov test Race wa

Normality was assessed using the Kolmogorov-Smirnov test. Race was treated as a dichotomus variable (white (n = 45) or non-white (n = 26)). Mixed models repeated

measures ANOVA with race and time included as fixed variables, and participant treated as a random selleck chemical variable, was used to assess main effects of time and race as well as time-by-race interactions. Akaike’s information criteria were used to determine appropriate covariance structures. When a significant time-by-race interaction was observed, all possible t-tests with Bonferroni corrections were used to identify differences within and between groups. Log transformed variables were used in mixed models repeated measures ANOVA for variables that did not follow a normal distribution. Pearson’s or Spearman’s rank correlation were used as appropriate to test for associations between 25(OH)D levels and markers of inflammation (hsCRP and IL-6) and measures of body composition (body mass index (BMI) and body fat percentage). Mean daily intakes of vitamin D and calcium were compared to the US recommended dietary allowance (RDA) to compare experimental observations and population recommendations. Results Vitamin D status, PTH, and bone turnover Serum 25(OH)D levels during BCT decreased 8% in whites but increased 21% JAK inhibitor in non-whites (P-interaction < 0.05, Table 2). At all time points, serum 25(OH)D levels were lower in non-whites

than whites (P-interaction < 0.05). Group mean PTH increased within 3 weeks, and then remained elevated for the duration of BCT

(P-effect < 0.05, Table 2). Mean PTH levels were greater in non-whites than whites (P-effect < 0.05). Table 2 Longitudinal changes in serum 25(OH)D and PTH levels in female Soldiers during BCT*   Baseline Wk 3 Wk 6 Wk 9 Effect 25(OH)D, nmol/L       oxyclozanide   T x R Group (n = 71) 64.1 ± 3.8 60.4 ± 2.9 60.7 ± 2.6 63.2 ± 2.6   White (n = 45) 77.0 ± 3.5 70.6 ± 3.5† 68.6 ± 3.5† 70.5 ± 3.5   Non-white (n = 26) 41.7 ± 4.6§ 42.6 ± 4.6§ 47.8 ± 4.6§ 50.6 ± 4.6‡,§   PTH, pg/mL         T, R Group (n = 71) 32.7 ± 1.7 40.0 ± 1.7† 43.8 ± 1.8† 42.3 ± 2.2†   White (n = 45) 31.9 ± 2.3 36.7 ± 2.3 39.7 ± 2.3 38.6 ± 2.3   Non-white (n = 26) 34.0 ± 3.0 45.7 ± 3.1 50.7 ± 3.0 48.8 ± 3.0   *Mean ± SEM; † Different from baseline (P < 0.05); ‡Different from week 3 (P < 0.05); §Different from white, (P < 0.05); T, main effect of time (P < 0.05); R, main effect of race (P < 0.05); T x R, time-by-race interaction (P < 0.05). Markers of bone formation, BAP and PINP, and bone resorption, TRAP and CTx, increased (P-effect < 0.05, Table 3) during BCT. There was no differential effect of race on markers of either bone formation or resorption. Table 3 Longitudinal changes in bone biomarkers in female Soldiers during BCT*   Baseline Wk 3 Wk 6 Wk 9 Effect Bone Absorption Biomarkers BAP, μg/L         T Group (n = 71) 27.6 ± 1.6 36.6 ± 1.9† 39.1 ± 1.9† 38.8 ± 2.0†   White (n = 45) 26.2 ± 2.3 33.9 ± 2.4 37.1 ± 2.3 36.9 ± 2.

Figure 1, depicts one such position in Sweh212, where double peak

Figure 1, depicts one such position in Sweh212, where double peaks are present in sequences with DNA from crude feces, and single cyst Sweh212_145, but not in single cysts; Sweh212_243 or Sweh212_236 (Figure 1). Sequencing of the

tpi locus generated from trophozoite cultures of the axenic, assemblage B isolate GS/M-H7, generated double peaks in three positions, namely 39, 45 and 264 Nutlin-3a concentration (Table 1) with the start codon set as position one. This sequence, along with sequences from public databases [GenBank: EF688030, EF688028 and FJ560571], were used as baseline for the GS/M-H7 analysis in order to define potential polymorphic subgroups when performing the single cell analyses (Table 1). Bi-directional sequencing of single GS/M-H7 trophozoites, with (n = 9) and without (n = 5) the pre-treatment of DNAreleasy, on a 530 bp region of tpi was performed in order to verify the occurrence of ASH within single Giardia cells. The chromatograms were carefully analyzed with regards to double peaks, and forward and reverse sequences

were subsequently aligned. All single GS/M-H7 trophozoites, which were pre-treated Crenolanib nmr with DNAreleasy, displayed distinct double peaks in the same positions as those from the GS/M-H7 crude isolate (Table 1). However, only one (20%) of the single GS/M-H7 trophozoites, that had not been pre-exposed to treatment with DNAreleasy, showed double peaks in all three positions

(Table 1). Thus, DNAreleasy increases the amplification efficiency from single parasites. Figure 1 Sequence chromatograms of nucleotide variations. Chromatogram of a sequence generated from crude DNA from patient Sweh212, where the position indicated with an arrow shows the presence of a double peak (a). Sequencing of single cysts from the same patient indicates the presence of a double peak or ASH at the single cell level find more (b), and importantly, single cyst analyses also show that there are sub-populations present where double peaks do not exist in the same position (c and d). Bi-directional sequencing was also performed on DNA from clinical single cysts and sequences were aligned using variants of sub-assemblages BIII and BIV, as well as sequences from crude DNA from each respective sample as baselines, where possible. Positions that have earlier been suggested as variable between sub-assemblages BIII and BIV, are highlighted by an asterisk in Tables 1 2 3 4 5[10, 25].

salmoninarum isolates [23] In addition, VNTR represents a more r

salmoninarum isolates [23]. In addition, VNTR represents a more reproducible typing system in comparison to techniques relying on random amplification under low-stringency parameters and accurate data from individual isolates can readily be shared between different laboratories. Although

the discriminatory power of VNTR when applied to R. salmoninarum is lower than has been achieved with some human pathogenic bacteria such as Bartonella or Streptococcus[26, 27], these later studies are based on significantly larger data sets usually gathered Captisol molecular weight from wider geographic areas. If a larger R. salmoninarum data set becomes available in future, the VNTRs described in the present study should be applied to test its ability to trace disease outbreaks and connect individual infected farms with a source of infection. The developed VNTR typing system separated the studied isolates into two well-supported groups. Group 1 clustered together 12 out of 17 R. salmoninarum haplotypes, including a wide range of isolates from Scotland, Norway and North America, from three different species of salmonid fish, spanning the period between 1974 and 2009. Several haplotypes of group 1 (B, D, E and G) comprised multiple isolates causing disease in both Atlantic salmon

and rainbow trout, suggesting a relatively common historical transfer of the pathogen between these fish species. On the other hand, some association was found between rainbow trout and R. salmoninarum haplotype A and between Atlantic H 89 purchase salmon and R. salmoninarum haplotypes C, F, H, I and L-Q. However, with the exception of haplotypes A and C, these haplotypes Rebamipide were represented by single isolations. The present study concludes that using a data set of

41 isolates representing bacterium circulating in Scotland over a period of more than 20 years, there was no consistent division of R. salmoninarum isolates into two host specific populations. This result is consistent with the possibility that individual R. salmoninarum strains can infect both host species in environments where both species co-occur. The transfer of R. salmoninarum free stock to the marine environment could in theory eliminate disease transmission. However, the possibility that a carrier would be not detected, as a consequence of a potentially low infection prevalence and low diagnostic sensitivity of tests for asymptomatic stock, have to be considered [29]. The spatial separation of marine rainbow trout and Atlantic salmon farms into separate disease management areas in marine environment, as described in [16], can further reduce the risk of pathogen transfer between host species. All previous R. salmoninarum typing systems have failed to reliably discriminate between European and US isolates [20, 22, 23].

Bars are the mean and SD of five replications Differences betwee

Bars are the mean and SD of five replications. Differences between wild type and the mutants

were found significant according to t-test (P < 0.05) in the following treatments: sporulation in the light (A), sporulation in dark on EMS with 500 μM IAA (B, C), sporulation in the dark on EMS with 250 μM (C). Repetition of experiments led to similar results. Next we tested the possible effect of IAA on sporulation. Wild-type and mutant strains were cultured on media with 500 μM IAA. The plates were kept in the dark to prevent photo-oxidation of IAA, and to eliminate light-induced differences in sporulation between the wild type and mutants. IAA significantly enhanced sporulation in wild-type cultures under these conditions, Fosbretabulin datasheet while it had no effect on sporulation of the cgopt1-silenced mutants (Fig. 6B). Furthermore, the effect of IAA on sporulation in wild-type cultures was dose-dependent: a small increase in spore production see more was observed at 100 μM IAA, and production was further enhanced by 250 μM and 500 μM IAA (Fig. 6C). No change was observed in the sporulation of the mutants, regardless

of IAA concentration. These results showed a clear and consistent phenotype caused by IAA, which is abolished in the cgopt1-silenced mutants. Colony morphology While characterizing the transcriptional response to IAA, we noticed the development of more compact mycelium in the presence of auxin. To further examine this phenotype, we tested the effect of IAA on the development of mycelia in liquid culture. In REG medium, the wild-type colonies

accumulated intense orange pigmentation, while the silenced mutants developed a very pale orange color Megestrol Acetate (Fig. 7, top). This phenotype was similar to that observed on solid REG plates (Fig. 5A). IAA greatly reduced pigmentation in wild-type cultures, whereas it had no effect on the mutants, which retained their light orange color (Fig. 7, top). Figure 7 Effect of culture media and IAA on morphology of wild type and cgopt1 mutants. Similar results were obtained with Ori51 and Ori83 mutant strains. Only the results with Ori51 are presented. Top: Colonies of wild type and Ori51 mutant strain grown in REG liquid medium for 3 days in the absence (-) and presence (+) of 500 μM IAA. Middle: stereoscope images of individual pellets that developed in REG media with or without 500 μM IAA. Bottom: stereoscope images of individual pellets that developed in CD medium with or without 500 μM IAA. Bar = 1 mm. A difference was noted in the morphology of wild-type and mutant colonies. In REG medium, the wild type developed pellets surrounded by long hyphae, which became more compact with shorter hyphae when IAA was added (Fig. 7, middle). Under these conditions, the cgopt1-silenced mutants developed compact pellets without free hyphae, and this morphology did not change in the presence of IAA.