dataesr/scientific-paragraphs-categorization huggingface dataset:
The translation stages, spectrometer, and CMOS sensor are controlled via a program developed under the software Labview® (version 2011). This program is a useful interface that allows full control of the setup. Alignment protocol takes <1 min from the moment the droplet has been evaporated until the Raman acquisition starts. The Z position provided by the lensfree based scheme is ∼1 to 2 μm off the correct Raman focal position, which is found by monitoring the appearance of the C-H band at 2925 cm -1 in the Raman spectra using minute translation steps (0. 4 μm). An exposure time of 1 s is sufficient to obtain a Raman signal and guarantees a rapid alignment. Interference pattern collection is very fast, in the millisecond range, and the Raman exposure time has been decreased to 10 s, thanks to the high spectrometer throughput.
Typically, it takes 25 min to collect 30 spectra from 30 different single bacteria in a single droplet. Scattering patterns and Raman spectra are analyzed off line using MATLAB® (R2013a) and RStudio programs, respectively. This paper focuses on the Raman scattering analysis (preprocessing and classification techniques) to demonstrate the scheme's feasibility to collect Raman comprehensive spectra and to identify bacteria. Scattering patterns analysis will be reported in a future paper. Last, a direct imaging path was added to the system for validation purposes. The direct image was used (1) to facilitate system alignment, (2) to confirm that the particles detected in the lensless image were actual bacteria, and (3) to evaluate the detection limit in the lensless image. The detection limit was found to be small bacteria aggregates composed typically of 5 to 10 individuals.
Database Description We conducted an acquisition campaign in order to populate a reference database composed of the seven strains of bacteria described in Sec. 2. 3. Spectra were measured for four consecutive days, with 120 spectra per day (four strains of bacteria, 30 spectra each). In addition, spectra from other days were added to the database to reach a final count of 1205. Each spectrum was collected using an integration time of 10 s. SDM and SNR for each strain were calculated (Table  3 ). SDM values are rather high, from 0. 6 for S. epidermidis to values ≫1, with 1. 3 for E. coli and 1. 7 for S. marcescens, mainly due to the low acquisition time. We find the same trend with SNR. Mean SNR ranges from 3 for the noisiest series (S. marcescens and E. coli) to 6 for the best series (M. luteus and S.
8% and 80. 9% success, respectively, on the Bacillus family) and outperform the net spectra calculated with the quartz signal from the same date (75. 9% success). Although these results do not indicate a significant advantage for quartz and background subtraction over a simple smoothing, it is noteworthy that no significant sample autofluorescence was observed in this dataset. The advantage of nonspecific signal subtracting would be more remarkable otherwise. With this in mind, we chose the net spectrum as the preprocessing method for the results presented in this work (with a quartz signal acquired on the same date).
We now turn to our second cross-validation scenario mentioned in Sec. 2. 4. 2. There, a given strain and date is not permitted to appear at the same time in the reference base and in the validation base. In this case, we obtain a lower global success rate. We observe disparities according to strain and acquisition dates. The mean success rate is 84. 0% for B. subtilis, which presents the highest number of experiment dates, in the Bacillus family. However, the results are largely dispersed with the highest success rate being 100% and the lowest 45% depending on the date. For S. epidermidis, which is the least represented in the database in terms of experiment dates, the mean identification rate in the Staphylococcus family falls to 55. 3%, with results spreading from 21. 1 to 86. 7% according to the date.
The dispersion of these results depending on the date hints at a possible influence of other important factors like growth phase, nutrition, or matrix (sterile or real) effects that would need to be taken into account in the dataset. We have already started to explore this possibility and found, for instance, that our system is able to discriminate between different growth phases of E. coli and B. subtilis. 27 Note as well that the mentioned dispersion could be partially attributed to preprocessing the spectra using a quartz signal acquired by date. Nevertheless, a similar dispersion was observed to a lesser extent for the other preprocessing methods (subtracting a mean quartz, or simply the smoothed spectra-see Sec. 3. 3). These results, although not definitive, are encouraging regarding the possibility of identifying bacterial strains using short Raman acquisition time.
To conclude, we described an innovative design for Raman spectroscopy based on lensfree imaging for which the development targets were rapidity, compactness, and simplicity of use. The present study was focused on the Raman spectroscopy acquisition system. We demonstrated the ability of our system to rapidly probe single bacterial cells without the need of a standard microscope. We obtained positive results on the identification of bacterial species with success rates approaching 87% via SVM classification. We expect to robustify and improve on these results, thanks to an enlarged Raman dataset, and by adding the morphological information present in the lensfree image. This study paves the way for the development of the next generation of compact and high-performing spectroscopic devices designed for biomedical applications.
Database search and primer design An in silico analysis was carried out using GenBank BLAST (http://blast. ncbi. nlm. nih. gov/). For each Inc group, the relaxase/helicase gene was used as template; the presence of relaxasespecific multidomains was checked using CD-Search (http://www. ncbi. nlm. nih. gov/Structure/cdd/wrpsb. cgi/). Multiple alignments were performed with ClustalW2 software (http://www. ebi. ac. uk/Tools/msa/clustalw2/). Primer pairs covering most sequences in each family were designed using FastPCR software (http://primerdigital. com/fastpcr. html), while minimizing codon degeneracy (Table  1A ).
5% agarose gel containing ethidium bromide and visualized using GelDoc (Biorad). PCR products were purified using the Exosap purification kit (illustra ExoStar 1-Step, Dutscher, Brumath, France) and subjected to bidirectional DNA sequencing using the BigDye terminator v3. 1 cycle sequencing kit (Applied Biosystems, Foster City, CA, USA) and an Applied Biosystems 3730 XL capillary sequencer. Sequence analysis was carried out using BLAST and GenBank sequences.
g. IncQ3 or IncT plasmids)  (Alvarado et al. , 2012). The majority of plasmids had a single putative relaxase locus, which is consistent with the review by Smillie et al. (Smillie et al. , 2010). In contrast, complete GenBank sequences of IncHI1 and IncHI2 plasmids had one to three putative relaxase/helicase loci on each reported plasmid (Supplementary Table  S1 ). CD-Search results for each protein confirmed the presence of relaxase-or helicase-specific multidomains. We finally used five relaxase clades (arbitrarily designed HIα, HIβ, HIγ, HIδ and HIε) present among the various IncHI1 and/or IncHI2 plasmids (Supplementary Table  S1 ). HIβ and HIδ relaxases were found to be encoded only on IncHI1 plasmids and HIγ and HIε relaxases only on IncHI2 plasmids while HIα relaxases were encoded on both IncHI1 and IncHI2 plasmids.
Six plasmids could be typed neither with PBRT nor with PRaseT (Table  4 ). Complete sequence is available for 3 of them, i. e. plasmids from K. pneumoniae transformant S77 (pKpS77, SHV-12), E. coli transconjugant 76 (RCS47v1_pI, SHV-2) and E. coli transformant 93 (RCS63v1_p, CTX-M-3) (unpublished data). Plasmids pKpS77, RCS47v1_pI and RCS63v1_p were, respectively, < 50,000 bp, 117,001 bp and 22,308 bp long. In the sequences of two of them (pKpS77 and RCS63v1_p), no transfer region could be identified. The third plasmid (RCS47v1_pI, E. coli transconjugant 76) carried a new relaxase gene which presented 100% query cover and 99% maximum identity with those on plasmids pO111_2 (GenBank accession no. AP010962. 1) and p12579_1 (GenBank accession no. CP003110. 1); its replicase gene also presented 100% query cover and 99% maximum identity with its counterparts on plasmids pO111_2 and p12579_1.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Saccharicola bicolor (GenBank AF455415; Identities = 481/485 (99 %), Gaps = 1/485 (0 %)), Saccharicola taiwanensis (Gen-Bank AF439462; Identities = 456/471 (97 %), Gaps = 1/471 (0 %)) and Stagonospora perfecta (GenBank KF251258; Identities = 468/485 (96 %), Gaps = 2/485 (0 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Neo ttiosporina paspali (GenBank EU754172; Identities = 833/838 (99 %), no gaps), Stagonospora pseudovitensis (GenBank KF251765; Identities = 829/835 (99 %), no gaps) and Stagonospora cf. paludosa (GenBank KF251757; Identities = 829/835 (99 %), no gaps).
RPB2. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the RPB2 sequence are Neottiosporina paspali (GenBank GU371779; Identities = 205/219 (94 %), no gaps), Stagonospora duoseptata (GenBank KF252260; Identities = 225/243 (93 %), no gaps) and Stagono spora pseudocaricis (GenBank KF302395; Identities = 224/250 (90 %), no gaps). Notes -The genus Phaeosphaeria has recently been characterised by  Quaedvlieg et al. (2013)  as having Phaeo septoria asexual morphs. Several species of Phaeosphaeria were reported from Poaceae by  Shoemaker & Babcock (1989). Although asexual morphs were not treated, references were made to 'pigmented Stagonospora', which is now confirmed as Phaeoseptoria. Most of the species treated by  Shoemaker & Babcock (1989)  have no known asexual morph, and those treated by  Leuchtmann (1984)  on Poaceae differ in conidial size to that of Phaeosphaeria poae.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Phaeosphaeria vagans (GenBank KF251193; Identities = 517/ 530 (98 %), Gaps = 1/530 (0 %)), Phaeosphaeria insignis (Gen-Bank AF439485; Identities = 490/504 (97 %), Gaps = 1/504 (0 %)) and Phaeosphaeria culmorum (GenBank JX981464; Identities = 515/530 (97 %), Gaps = 1/530 (0 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Phaeosphaeria ammophilae (GenBank KF766314; Identities = 828/830 (99 %), Gaps = 1/830 (0 %)), Wojnowicia hirta (GenBank EU754223; Identities = 827/830 (99 %), Gaps = 1/830 (0 %)) and Phaeosphaeria nigrans (GenBank GU456331; Identities = 826/829 (99 %), no gaps). Fungal Planet 216 -10 June 2014 Keissleriella poagena  Crous & Quaedvlieg, sp. nov. Notes -Keissleriella poagena is phylogenetically closely allied to the genus Keissleriella, but morphologically different  (Zhang et al. 2012b) , in that we did not observe a papilla (then again, we studied it in culture not on host material) and ascospores were 3-septate. In agreement with Keissleriella are the brown setae surrounding the ostiole and the ascospores surrounded by a sheath.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Coniothyrium fuckelii (GenBank HQ832837; Identities = 330/362 (91 %), Gaps = 9/362 (2 %)), Paraphaeosphaeria spo rulosa (GenBank JX496227; Identities = 329/362 (91 %), Gaps = 9/362 (2 %)) and Coniothyrium nitidae (GenBank GU355659; Identities = 335/369 (91 %), Gaps = 16/369 (4 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Pleurophoma pleurospora (GenBank JF740327; Identities = 678/687 (99 %), Gaps = 2/687 (0 %)), Keissleriella cladophila (GenBank JX681090; Identities = 676/686 (99 %), no gaps) and Keissleriella genistae (GenBank GU205222; Identities = 676/686 (99 %), no gaps).
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Ascochyta manawaorae (GenBank GU230751; Identities = 458/478 (96 %), Gaps = 4/478 (0 %)), Parastagonospora no dorum (GenBank KF512822; Identities = 475/499 (95 %), Gaps = 8/499 (1 %)) and Phaeosphaeria oryzae (GenBank KF251186; Identities = 483/521 (93 %), Gaps = 10/521 (1 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Phaeosphaeria oryzae (GenBank GQ387591; Identities = 823/830 (99 %), Gaps = 2 /830 (0 %)), Phaeosphaeriopsis musae (GenBank DQ885894; Identities = 823/830 (99 %), Gaps = 2 /830 (0 %)) and Vrystaatia aloeicola (GenBank KF251781; Identities = 815/822 (99 %), Gaps = 2/822 (0 %)). TUB. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the TUB sequence are Ophiostoma sparsiannulatum (GenBank FJ907177; Identities = 183/217 (84 %), Gaps = 5/217 (2 %)), Fusarium longi pes (GenBank GQ915443; Identities = 187/222 (84 %), Gaps = 7/222 (3 %)) and Nectria antarctica (GenBank HM484601; Identities = 187/224 (83 %), Gaps = 9/224 (4 %)). Fungal  Planet 218 & 219 -10 June 2014  Phaeosphaeria poagena  Crous & Quaedvlieg, sp.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Dinemasporium pseudoindicum (GenBank JQ889277; Identities = 510/523 (98 %), Gaps = 9/523 (1 %)), Dinemasporium strigosum (GenBank JQ889286; Identities = 491/521 (94 %), Gaps = 17/521 (3 %)) and Dinemasporium americana (GenBank JQ889274; Identities = 470/499 (94 %), Gaps = 24/499 (4 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Dinemasporium pseudoindicum (GenBank JQ889293; Identities = 670/674 (99 %), Gaps = 1/674 (0 %)), Dinemasporium strigosum (GenBank JQ889300; Identities = 669/674 (99 %), 1/ 674 (0 %)) and Dinemasporium americana (GenBank JQ889290; Identities = 669/674 (99 %), Gaps = 1/674 (0 %)).
Typus. NetherlaNds, Raalte, on Poa sp. (Poaceae), 2013, W. Quaedvlieg (holotype CBS H-21676, culture ex-type D800 = CBS 136776; ITS sequence Gen-Bank KJ869116, LSU sequence GenBank KJ869174, MycoBank MB808891). Notes -The genus Parastagonospora was recently introduced to accommodate several cereal pathogens that could not be placed in Stagonospora or Phaeosphaeria  (Quaedvlieg et al. 2013). Phylogenetically, P. poasensis is closely related to P. avenae (conidia (1-)3(-7)-septate, (17-)33(-46) × (2. 5-) 3. 5(-4. 5 μm);  Bissett 1982) , though it is distinct in its conidial morphology. Conidia of P. poagena are much larger than that of P. poae (1-septate, 20-32 × 2-2. 5 µm;  Quaedvlieg et al. 2013).
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Phaeosphaeria avenaria f. sp. triticae (GenBank EF452729; Identities = 553/561 (99 %), Gaps = 1/561 (0 %)), Phaeospha eria avenaria (GenBank U77358; Identities = 552/560 (99 %), no gaps) and Parastagonospora avenae (GenBank KF251174; Identities = 536/544 (99 %), no gaps). LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Parastagonospora nodorum (GenBank EU754175; Identities = 848/848 (100 %), no gaps), Phaeosphaeria avenaria f. sp. triticae (GenBank EF590322; Identities = 848/848 (100 %), no gaps) and Phaeosphaeria nigrans (GenBank KF251687; Identities = 828/828 (100 %), no gaps). Fungal  Planet 220 & 221 -10 June 2014  Parastagonospora poagena  Crous & Quaedvlieg, sp.
Typus. NetherlaNds, Raalte, on Poa sp. (Poaceae), 2013, W. Quaedvlieg (holotype CBS H-21677, culture ex-type CBS 136769 = D779; ITS sequence GenBank KJ869117, LSU sequence GenBank KJ869175, ACT sequence Gen-Bank KJ869226, TUB sequence GenBank KJ869243, MycoBank MB808892). Notes -The genus Pyrenochaetopsis (based on P. lepto spora) was introduced to accommodate phoma-like species with setose pycnidia  (de Gruyter et al. 2010 ). Within Pyreno chaetopsis, P. poae is closely allied to P. leptospora (conidia 4. 5-7 × 1-2 µm;  Boerema et al. 2004 ) and is best distinguished based on phylogenetic data.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Pyrenochaetopsis leptospora (GenBank JF740262; Identities Pyrenochaetopsis poae  Crous & Quaedvlieg, sp. nov. = 477/478 (99 %), no gaps), Dokmaia monthadangii (GenBank JN559405; Identities = 491/498 (99 %), no gaps) and Peri sporiopsis aff. melioloides (GenBank FJ884130; Identities = 476/486 (98 %), Gaps = 1/486 (0 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Didymosphaeria futilis (GenBank GU205219; Identities = 851/851 (100 %), no gaps), Pyrenochaetopsis microspora (Gen-Bank GQ387631; Identities = 851/851 (100 %), no gaps) and Pyrenochaetopsis leptospora (GenBank GQ387628; Identities = 851/851 (100 %), no gaps). ACT. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ACT sequence are Phaeosphaeria nodorum (GenBank XM_001791742; Identities = 388/409 (95 %), no gaps), Alternaria chlamydospora (Gen-Bank JQ671621; Identities = 466/512 (91 %), Gaps = 6/512 (1 %)) and Embellisia eureka (GenBank JQ671596; Identities = 454/500 (91 %), Gaps = 6/500 (1 %)). A blast2 comparison between the actin sequence of Pyrenochaetopsis leptospora strain CBS 101635 in Q-bank and our sequence revealed Identities = 252/265 (95 %), Gaps = 1/265 (0 %).
TUB. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the TUB sequence are Ulocladium multiforme (GenBank JQ672002; Identities = 252/293 (86 %), Gaps = 12/293 (4 %)), Ulocladium atrum (GenBank JQ671998; Identities = 252/293 (86 %), Gaps = 12/ 293 (4 %)) and Embellisia planifunda (GenBank JQ671950; Identities = 252/295 (85 %), Gaps = 15/295 (5 %)). A similar search in the Q-bank fungal nucleotide database (www. q-bank. eu) revealed highest similarity with Pyrenochaetopsis lepto spora  (CBS 536. 66; Identities = 322/327 (98 %) , no gaps), Pyrenochae topsis microspora (CBS 102876; Identities = 322/327 (98 %), no gaps) and Pyrenochaetopsis decipiens  (CBS 343. 85 ; Identities = 287/331 (87 %), Gaps = 4/331 (1 %)). Mycelium consisting of pale brown, smooth, septate, branched, 1.
On PDA surface and reverse olivaceous-grey. On OA surface iron-grey with diffuse apricot pigment. On MEA surface smoke-grey with olivaceous-grey outer region, iron-grey in reverse. Typus. australia, Queensland, Dave's Creek, S28°12'13. 7" E153°12'9. 5", on Eucalyptus (Myrtaceae) leaf litter, 11 July 2009, P. W. Crous & R. G. Shivas (holotype CBS H-21678 , culture ex-type CPC 17207 = CBS 137967; ITS sequence GenBank KJ869118, LSU sequence GenBank KJ869176, TEF sequence GenBank KJ869234, MycoBank MB808893). Notes -The genus Anungitea (Venturiaceae, see  Crous et al. 2007c ) was established for taxa with dark, solitary conidiophores, bearing a head with denticles with flattened conidiogenous scars that are unthickened nor darkened, and chains of cylindrical, 1-septate subhyaline conidia  (Sutton 1973).
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Phlogicylindrium eucalyptorum (GenBank EU040223; Identities = 615/658 (93 %), Gaps = 19/658 (2 %)), Phlogicylindrium uniforme (GenBank JQ044426; Identities = 535/578 (93 %), Gaps = 19/578 (3 %)) and Pestalotiopsis pauciseta (GenBank GQ891045; Identities = 451/488 (92 %), Gaps = 11/488 (2 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Phlogicylindrium uniforme (GenBank JQ044445; Identities = 872/885 (99 %), Gaps = 1/885 (0 %)), Phlogicylindrium euca lypti (GenBank DQ923534; Identities = 873/887 (98 %), Gaps = 1/887 (0 %)) and Phlogicylindrium eucalyptorum (GenBank EU040223; Identities = 864/879 (98 %), Gaps = 1/879 (0 %)).
TEF. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the TEF sequence are Hypocrea crassa (GenBank JN133572; Identities = 215/253 (85 %), Gaps = 9/253 (3 %)), Trichoderma strigosellum (Gen-Bank JQ425702; Identities = 214/252 (85 %), Gaps = 6/252 (2 %)) and Hypocrea virens (GenBank FJ463363; Identities = 216/255 (85 %), Gaps = 13/255 (5 %)).
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Phialea strobilina (GenBank EF596821; Identities = 630/692 (91 %), Gaps = 12/692 (1 %)), Scleropezicula alnicola (Gen-Bank AF141168; Identities = 630/694 (91 %), Gaps = 17/694 (2 %)) and Xenopolyscytalum pinea (GenBank HQ599581; Identities = 573/653 (88 %), Gaps = 21/653 (3 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Phialea strobilina (GenBank EF596821; Identities = 886/ 903 (98 %), Gaps = 1/903 (0 %)), Rhytisma acerinum (GenBank AF356696; Identities = 826/845 (98 %), Gaps = 2/845 (0 %)) and Chalara acuaria (GenBank FJ176248; Identities = 831/853 (97 %), Gaps = 6/853 (0 %)). Fungal  Planet 223 & 224 -10 June 2014  Triposporium cycadicola  Crous & R. G. Shivas, sp. nov. Etymology. Named after the host genus from which it was collected, Cycas. Mycelium consisting of brown, septate, smooth, 1. 5 -2. 5 µm diam hyphae. Setae erect, dark brown, 4 -7-septate, stalk dark brown, thick-walled, upper curled part medium brown, thin-walled, warty, tapering to obtusely rounded apex, foot cell arising from hyphae, lacking rhizoids, stalk 25 -40 × 2-3 µm, apical curled part with 1-2 loops.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Gibberella moniliformis (GenBank JN232129; Identities = 430/ 496 (87 %), Gaps = 20/496 (4 %)), Fusarium oxysporum (Gen-Bank JN232179; Identities = 424/488 (87 %), Gaps = 20/488 (4 %)) and Calceomyces lacunosus (GenBank JX658530; Identities = 413/464 (89 %), Gaps = 26/464 (5 %)). An identification using MycoID on MycoBank yielded a similarity of 549/586 (94 %) and Gaps = 6/586 (1 %) with Circinotrichum olivaceum strain CBS 101185.
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Anthostomella conorum (GenBank EU552099; Identities = 865/897 (96 %), Gaps = 2/897 (0 %)) and Barrmaelia macro spora (GenBank KC774566; Identities = 856 / 897 (95 %), Gaps = 4/897 (0 %)). Mycelium consisting of branched, septate, smooth, brown, 2-3 µm diam hyphae. Conidiophores erect, flexuous, subcylindrical, unbranched, 30-70 × 3-4 µm, 2-5-septate, giving rise to a conidiogenous apparatus with chains of branched conidia. Primary ramoconidia subcylindrical, pale brown, smooth, 0 -1-septate, 17-27 × 2. 5-3 µm; hila thickened, darkened and refractive, 0. 5-1. 5 µm diam. Secondary ramoconidia subcylindrical to fusoidellipsoidal, 7-14 × 1. 5 -3 µm. Intercalary and small terminal conidia in branched chains (-15), brown, smooth, ellipsoid, pale brown, guttulate, (4 -)5(-6) × 2.
ITS. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the ITS sequence are Cladosporium sphaerospermum (GenBank EU570256; Identities = 635/647 (98 %), Gaps = 5/647 (0 %)), Cladosporium cu cumerinum (GenBank HM148071; Identities = 632/644 (98 %), Gaps = 5/644 (0 %)) and Cladosporium lignicola (GenBank AF393709; Identities = 607/619 (98 %), Gaps = 5/619 (0 %)).
LSU. Based on a megablast search of NCBIs GenBank nucleotide database, the closest hits using the LSU sequence are Cladosporium sphaerospermum (GenBank JN938884; Identities = 867/875 (99 %), Gaps = 1/875 (0 %)), Cladosporium langeronii (GenBank DQ780380; Identities = 863/876 (99 %), Gaps = 1/876 (0 %)) and Cladosporium perangustum (Gen-Bank JF499856; Identities = 894/910 (98 %), Gaps = 1/910 (0 %)).