Citrobacter freundii is usually considered

a commensal sp

Citrobacter freundii is usually considered

a commensal species of the human gut, although some isolates have acquired specific virulence traits that enable them to cause diarrhea. Therefore, virulence factors homologous, and some even identical, to those described in E. coli pathotypes were detected in C. freundii strains isolated from sporadic cases of infantile diarrhea [26–29]. Additionally, isolates of C. freundii have been identified as effective recipient strains even since the first articles concerning E. coli conjugation mediated by F pili were published [30]. Reports on INK128 the transfer of E. coli thermo-stable toxin genes between these species raised considerations about the virulence potential of the bacterial conjugation [29, 31, 32]. A highly conjugative plasmid (pCTX-M3), which is responsible selleck chemicals llc for the extensive spread

of extended-spectrum β-lactamase (ESBL) in Enterobacteriaceae, was described in clinical isolates of C. freundii. pCTX-M3 is a 89,468 bp-plasmid belonging to IncL/M group that probability evolved from environmental plasmids through stepwise integration of mobile genetic elements. Moreover, it has been shown that this plasmid is easily transferred to E. coli, Klebsiella sp., Enterobacter cloacae, Serratia marcescens and Salmonella enterica strains [33, 34]. Nowadays, it is known that phenotypic features classically associated with pathogenic E. coli strains are not restricted exclusively to this species. In addition to EAEC, the AA pattern has been recognized in uropathogenic Proteus mirabilis strains [35] and in Klebsiella pneumoniae strains recovered from healthcare-associated infections [36]. In these isolates, the expression of AA pattern has been associated with the ability to form biofilms. Bacterial biofilms found in natural and pathogenic ecosystems are formed in the presence of multiple species 4��8C and genetically distinct strains. However, the current understanding of these microbial consortia is largely based on single-species models that frequently

use laboratory strains. In this work, wild-type strains of typical EAEC and C. freundii, which were concomitantly recovered from diarrhea, were tested in mixed biofilm assays in order to evaluate the occurrence of synergistic effects on biofilm formation. Firstly, it is shown that the diarrhea-isolated C. freundii strain shared the characteristic AA phenotype displayed by EAEC strains, and henceforth was named aggregative C. freundii (EACF). It follows that EACF strain 205 and diarrhea-isolated typical EAEC strains cooperate to increase bacterial adhesion to HeLa cells and biofilm formation. Moreover, the synergic effect was associated with putative F pili expressed by EAEC strains. Results Aggregative C. freundii During a case-control study of infantile diarrhea, C. freundii strains were isolated from two subjects. The C.

2 These recombinant products were about 10 times concentrated at

2. These recombinant products were about 10 times concentrated at room temperature using Vacuum Concentrator 5305 (Eppendorf, Hamburg, Germany) and applied

to a 12.5% SDS-PAGE. Purified enzyme and crude control reference MCAP were loaded directly into the SDS-PAGE gel and stained with Coomassie Brilliant Blue. Milk clotting assay The milk clotting activity buy Z-VAD-FMK was analyzed according to the method of Arima and coworkers, with some modifications [15]. Initially, 1 mL of substrate made of 100 g L-1 skimmed milk powder and 10 mM CaCl2 in distilled water was added to a 10 mL test tube and the contents were incubated at 35°C for 10 min. Afterwards, 0.1 mL of enzyme sample was added to the pre-incubated substrate. One milk clotting unit (MCU) was defined as the enzyme amount which clotted 1 mL of the substrate within 40 min signaling pathway at 35°C [15]. Based on this definition, the clotting activity was calculated according to equation of Rao and coworker [16], (Equation 1). where 2400 is the conversion of 40 min to s, t; clotting time (s) and E; the enzyme volume (mL). Deglycosylation assay About 35 μg of crude extracellular protein from the

recombinant X-33/pGAPZα+MCAP-5 cultivated in YPD medium at initial pH of 5.0 was digested with 2 units of endoglycosidase H (endo H) (New England Biolabs, Frankfurt, Germany) at 37°C for 2 h. The crude protein had previously been desalted using a PD-10 column and equilibrated with 20 mM phosphate buffer, pH 6.0. Proteolytic activity

assay Proteolytic activities (PA) of obtained chromatographic fractions were measured by the method of Fan and coworkers using N,N-dimethylcasein (DCM) as the substrate [17]. For the assay, 10 mg of DCM was dissolved in 1 mL of 20 mM phosphate buffer, pH 5.8. Subsequently, 45 μL of the solution was thoroughly mixed with 45 μL of enzyme sample and incubated at 35°C for 30 minutes. The reaction was stopped using 1.35 mL of 10% ice-cold trichloroacetic acid (TCA). The reaction sample was kept on ice for 30 min and later centrifuged at 15000 g for 15 min. The absorbance of the mixture was measured at 280 nm. To make the reference solution, TCA was added before the enzyme. One unit of proteolytic activity (U mL-1) was defined as the amount in microgram of tyrosine released GNAT2 from DCM per minute at 35°C. The extinction for tyrosine was taken as 0.005 mL μg-1 cm, (Equation 2). where V is volume in mL. Results and discussion Isolation of the partial MCAP gene The gene encoding MCAP was amplified by PCR from M. circinelloides strain DSM 2183. A 959 bp fragment was amplified using primers designed based on homology against NDIEYYG and KNNYVVFN consensus motifs from aspartic proteinase of various species of filamentous fungi (Figure 1). The deduced amino acid sequence of the obtained 959 bp fragment indicated the presence of catalytic Asp residues found in most known aspartic proteinases.

Figure S4 Quantitative data for the SOLiD assay for simulated cl

Figure S4. Quantitative data for the SOLiD assay for simulated clinical sample E (SCE). (DOCX 691 KB) References 1. Peterson J, Garges S, Giovanni M, McInnes P, Wang L, Schloss JA, Bonazzi V, McEwen JE, Wetterstrand KA, Deal C, Baker CC, GS-1101 order Di Francesco V, Howcroft TK, Karp RW, Lunsford RD, Wellington CR, Belachew T, Wright M, Giblin C, David H, Mills M, Salomon R, Mullins C, Akolkar B, Begg L, Davis C, Grandison L, Humble M, Khalsa J, Little AR, Peavy H, Pontzer C, Portnoy M, Sayre MH, Starke-Reed P, Zakhari S, Read J, Watson B, Guyer

M: The NIH Human Microbiome Project. Genome Res 2009, 19:2317–2323.PubMedCrossRef 2. Hyman RW, St.Onge RP, Allen EA, Miranda M, Aparicio AM, Fukushima M, Davis RW: Multiplex Identification of Microbes. Appl Environ Microbiol 2010, 76:3904–3910.PubMedCrossRef 3. Hardenbol P, Baner J, Jain M, Nilsson M, Namsaraev EA, Karlin-Neumann GA, Fakhrai-Rad H, Ronaghi M, Willis TD, Landegren U, Davis RW: Multiplexed genotyping with sequence-tagged molecular inversion probes. Nat Biotechnol 2003, 21:673–678.PubMedCrossRef 4. Hardenbol

3-deazaneplanocin A chemical structure P, Yu F, Belmont J, Mackenzie J, Bruckner C, Brundage T, Boudreau A, Chow S, Eberle J, Erbilgin A, Falkowski M, Fitzgerald R, Ghose S, Lartchouk O, Jain M, Karlin-Neumann G, Lu X, Miao X, Moore B, Moorhead M, Namsaraev E, Pasternak S, Prakash E, Tran K, Wang Z, Jones HB, Davis RW, Willis TD, Gibbs RA: Highly multiplexed molecular inversion probe genotyping: over 10,000 targeted SNPs genotyped in a single tube assay. Genome Res 2005, 15:269–275.PubMedCrossRef 5. Hyman RW, Herndon CN, Jiang H, Palm C, Fukushima M, Bernstein D, Vo KC,

Zelenko Z, Davis RW, Giudice LC: The Dynamics of the Vaginal Microbiome During Infertility Therapy with In Vitro Fertilization-Embryo Transfer. J Assist Repro Genet 2012, 29:105–115.CrossRef 6. Klappenbach JA, Avelestat (AZD9668) Dunbar JM, Schmidt TM: rRNA operon copy number reflects ecological strategies of bacteria. Appl Environ Microbiol 2000, 66:1328–1333.PubMedCrossRef 7. Crosby LD, Criddle CS: Understanding bias in microbial community analysis techniques due to rrn operon copy number heterogeneity. Biotechniques 2003, 34:790–794.PubMed 8. Frank JA, Reich CI, Sharma S, Weisbaum JS, Wilson BA, Olsen GJ: Critical evaluation of two primers commonly used for amplification of bacterial 16S rRNA genes. Appl Environ Microbiol 2008, 74:2461–2470.PubMedCrossRef 9. Sipos R, Székely AJ, Palatinszky M, Révész S, Márialigeti K, Nikolausz M: Effect of primer mismatch, annealing temperature and PCR cycle number on 16S rRNA gene-targetting bacterial community analysis. FEMS Microbiol Ecol 2007, 60:341–350.PubMedCrossRef 10. Verhelst R, Verstraelen H, Claeys G, Verschraegen G, Delanghe J, Van Simaey L, De Ganck C, Temmerman M, Vaneechoutte M: Cloning of 16S rRNA genes amplified from normal and disturbed vaginal microflora suggests a strong association between Atopobium vaginae, Gardnerella vaginalis and bacterial vaginosis. BMC Microbiol 2004, 4:16–20.

To understand if imipenem-dependent biofilm stimulation is specif

To understand if imipenem-dependent biofilm stimulation is specific for A. baumannii SMAL, we tested the effects of subinhibitory imipenem concentration on biofilm formation

in A. baumannii strains RUH875 and RUH134, representative of European clones I and II. In the absence of imipenem, both strains could form biofilm to a similar extent as A. baumannii SMAL (data not shown). MICs of imipenem for RUH875 and RUH134 in M9Glu/sup medium were 0.5 and 0.25 μg/ml, again very similar to the MIC for A. baumannii SMAL. Unlike A. baumannii SMAL, however, exposure to subinhibitory concentrations of the antibiotic failed to stimulate surface adhesion in these strains (data not shown). Figure 4 Surface adhesion by A. baumannii SMAL clone grown in find more M9Glu/sup medium at 30°C in the presence of subinhibitory imipenem concentrations. Grey bars: untreated samples; black bars: samples

treated with 1 Unit cellulase. In order to identify possible imipenem-dependent biofilm determinants we compared the patterns of membrane-associated proteins of A. baumannii SMAL grown either in the absence or in the presence of 0.125 μg/ml imipenem (1/4 MIC). Exposure to subinhibitory imipenem concentrations clearly affected the intensity of a protein band with the apparent molecular weight of ca. 70 KDa (Figure 5). The 70 KDa bands Proteasome inhibitor from both the control and the imipenem-treated samples were excised from the gel, and the proteins were digested with trypsin and identified

through MALDI-TOF analysis as previously described [35]. The 70 KDa bands were identified as a mixture of three polypeptides, all involved in metal uptake: the OprC protein, a copper receptor, was found both in control and imipenem-exposed bacterial cultures. In contrast, two proteins involved in iron uptake, a ferrichrome receptor protein and a TonB-dependent siderophore, were only found in the membrane of imipenem-exposed cultures (Table 2). We tested the possibility that increased production Nutlin-3 mw of iron uptake proteins upon exposure to subinhibitory imipenem concentrations could be due to transcription activation of the corresponding genes. Relative transcription levels of the ferrichrome receptor protein- and the TonB-dependent siderophore-encoding genes were determined by Real Time PCR experiments, which showed that transcription of both genes is activated by 0.125 μg/ml imipenem (1/4 the MIC) by 3.5-fold (Table 2). Figure 5 SDS-PAGE of membrane fractions of A. baumanni SMAL clone: the arrows point to the 70 KDa bands showing different levels of expression in cultures treated with imipenem. The band at ca. 40 KDa was identified by MALDI-TOF as OmpA the major outer membrane protein in A. baumannii. Molecular Weight standards are shown. Table 2 Identification of membrane proteins induced by exposure to subinhibitory imipenem concentrations.

Thus, despite the lack of cross-study comparison of ftsI DNA sequ

Thus, despite the lack of cross-study comparison of ftsI DNA sequences, the examples above indicate that clonal distribution is a more likely explanation

for the occurrence of PBP3 type A and compatible patterns in separate studies from four continents [3, 4, 9, 11, 12, 16, 18, 20],[22–25] than independent development of this substitution pattern by convergence. Importantly, an invasive high-level resistant rPBP3 isolate with the same combination of MLST allelic profile (ST155) and PBP3 substitution pattern EPZ-6438 in vitro as the two group III-like isolates in the present study was recently reported from Spain [24]. A single-locus variant (ST1118) with an identical substitution pattern was also reported. These observations are notable and support the need of global surveillance initiatives. We here show that combining MLST and PBP3 typing provides a tool for cross-study identification of rPBP3 strains and clones. The previously suggested system buy Ponatinib for subgrouping of group II isolates [38] does not separate PBP3 types [11, 16] and is unsuitable for

this purpose. Preferably, MLST should be combined with ftsI DNA sequencing. The ftsI gene is nearly 200 kb from its nearest MLST neighbor (mdh) and distortion of the MLST results due to linkage is thus very unlikely. With recent technological development reducing both costs and analysis time of whole-genome sequencing, and smaller bench-top sequencers becoming readily available, MLST-ftsI typing will probably be possible to perform for surveillance purposes in the near future. We are aware of a number of previous studies where MLST and ftsI sequencing was performed [3, 4, 12, 23–25, 43–45]. To our knowledge, crotamiton four reports have linked MLST data and PBP3 substitution patterns: one presented the allelic profiles of 83 group III respiratory isolates from Japan [43]; another presented the substitution pattern of a single group II ST368 NTHi isolate causing meningitis in Italy [44]; and two most recent publications presented the substitution patterns and STs of 95 respiratory [25] and 18 invasive isolates [24] from Spain.

However, the present study is to our knowledge the first to connect STs to ftsI alleles. PFGE is highly discriminative and generally considered suited for assessment of relatedness between epidemiologically connected isolates, particularly in populations with high recombination rates such as NTHi [39, 46]. In this study, PFGE clusters correlated well to MLST clonal complexes. Band patterns were stable over time and also traced phylogenetic relationship not detected by MLST and parsimony analysis. Combining MLST and PFGE for typing of NTHi may thus increase both sensitivity and resolution of clone detection. Development of resistance As discussed above, clonal expansion is important for the spread of rPBP3. However, the PBP3 type A-encoding, highly divergent ftsI allele lambda-2 was distributed among several unrelated STs.

J Ethnopharmacol 62:183–193PubMedCrossRef Almajan GL, Barbucenau

J Ethnopharmacol 62:183–193PubMedCrossRef Almajan GL, Barbucenau SF, Almajan ER, Draghici C, Saramet G (2009) Synthesis, characterization and antibacterial activity of some triazole Mannich bases carrying diphenylsulfone moieties. Eur J Med www.selleckchem.com/products/Gefitinib.html Chem 44:3083–3089PubMedCrossRef Ashok M, Holla BS, Poojary B (2007) Convenient

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Klebanoff SJ: Myeloperoxidase: friend and foe J Leukoc Biol 2005

Klebanoff SJ: Myeloperoxidase: friend and foe. J Leukoc Biol 2005,77(5):598–625.PubMedCrossRef

8. Nauseef WM: How human neutrophils kill and degrade microbes: an integrated view. Immunol Rev 2007, 219:88–102.PubMedCrossRef 9. Palazzolo-Ballance AM, Reniere ML, Braughton KR, Sturdevant DE, Otto M, Kreiswirth BN, Skaar EP, DeLeo FR: Neutrophil microbicides induce a pathogen survival response in community-associated methicillin-resistant Staphylococcus Alvelestat ic50 aureus. J Immunol 2008,180(1):500–509.PubMed 10. Winterbourn CC, Hampton MB, Livesey JH, Kettle AJ: Modeling the reactions of superoxide and myeloperoxidase in the neutrophil phagosome: implications for microbial killing. J Biol Chem 2006,281(52):39860–39869.PubMedCrossRef 11. Hampton MB, Kettle AJ, Winterbourn CC: Involvement of superoxide and myeloperoxidase in oxygen-dependent killing of Staphylococcus aureus by neutrophils. Infect Immun 1996,64(9):3512–3517.PubMed 12. Painter RG, Valentine VG, Lanson NA Jr, Leidal K, Zhang Q, Lombard G, Thompson C, Viswanathan A, Nauseef WM, Wang G: CFTR Expression in human neutrophils and the phagolysosomal chlorination defect in cystic

fibrosis. Biochemistry 2006,45(34):10260–10269.PubMedCrossRef 13. Painter selleck chemical RG, Bonvillain RW, Valentine VG, Lombard GA, LaPlace SG, Nauseef WM, Wang G: The role of chloride anion and CFTR in killing of Pseudomonas aeruginosa by normal and CF neutrophils. J Leukoc Biol 2008,83(6):1345–1353.PubMedCrossRef 14. Painter RG, Marrero L, Lombard GA, Valentine VG, Nauseef WM, Wang G: CFTR-mediated halide transport in phagosomes of human neutrophils. J Leukoc Biol 2010, 87:933–942.PubMedCrossRef 15. Murray PR, Baron EJ, Jorgensen JH, Landry ML, Pfaller MA: Manual

of Clinical Microbiology. Volume 1. 9th edition. Washington, DC: ASM Press; 2007. 16. McKenna SM, Davies KJ: The inhibition of bacterial growth by hypochlorous acid. Possible role in the bactericidal activity of phagocytes. Biochem J 1988,254(3):685–692.PubMed 17. Barrette WC Jr, Hannum DM, Wheeler WD, Hurst JK: General mechanism for the bacterial toxicity of hypochlorous acid: abolition of ATP production. Biochemistry 1989,28(23):9172–9178.PubMedCrossRef 18. Burns JL, Gibson Osimertinib clinical trial RL, McNamara S, Yim D, Emerson J, Rosenfeld M, Hiatt P, McCoy K, Castile R, Smith AL, Ramsey BW: Longitudinal assessment of Pseudomonas aeruginosa in young children with cystic fibrosis. J Infect Dis 2001,183(3):444–452.PubMedCrossRef 19. Rosenfeld M, Gibson RL, McNamara S, Emerson J, Burns JL, Castile R, Hiatt P, McCoy K, Wilson CB, Inglis A, Smith A, Martin TR, Ramsey BW: Early pulmonary infection, inflammation, and clinical outcomes in infants with cystic fibrosis. Pediatr Pulmonol 2001,32(5):356–366.PubMedCrossRef 20. Muhlebach MS, Stewart PW, Leigh MW, Noah TL: Quantitation of inflammatory responses to bacteria in young cystic fibrosis and control patients. Am J Respir Crit Care Med 1999,160(1):186–191.PubMed 21.

7 kDa, respectively Bocillin-FL staining Hundert μg of cell memb

7 kDa, respectively. Bocillin-FL staining Hundert μg of cell membrane fraction were incubated for 30 min at 35°C with Bocillin-FL (Invitrogen) as described by [63] before separation by SDS-7.5% PAGE. Fluorescence was visualized with the FluorChem™ SP imaging system (AlphaInnotech). JNK assay Acknowledgements We thank S. Burger for her technical help. We are thankful to U. Luethy (Center for Microscopy and Image Analysis, University of Zurich) for TEM analysis. We are grateful to Hitoshi Komatsuzawa for kindly donating

the rabbit anti PBP4 antibodies. This study was supported by the Swiss National Science Foundation grant 31-117707 to B. Berger-Bächi, the Gottfried und Julia Bangerter-Rhyner Stiftung as well as the Olga Mayenfisch Stiftung to C. Quiblier, and the Stiftung für Forschung an der Medizinischen Fakultät der Universität Zürich to A. S. Zinkernagel. Electronic supplementary material Additional file 1: Figure S1 – SpA processing in strain Newman. Western blot analyses of (A) subcellular fractions of wild type grown to an OD600 of 3 and (B) of total extract from overnight cultures of wild type and spa mutant using goat anti-human IgA antibodies. Coomassie stained total protein Talazoparib purchase is shown on the right as an indication of loading. SN, supernatant; CW, cell wall; CM, cell membrane; CP, cytoplasm. (PDF 106 KB) Additional file 2: Table S1 – Primers

used in this study. (PDF 37 KB) References 1. Sibbald MJJB, Ziebandt AK, Engelmann S, Hecker M, de Jong A, Harmsen HJM, Raangs GC, Stokroos I, Arends JP, Dubois JYF, et al.: Mapping the pathways to staphylococcal pathogenesis by comparative secretomics. Microbiol Mol Biol Rev 2006,70(3):755–788.PubMedCrossRef

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91) or Francisella (p = 0 89) between non-transfected and transfe

91) or Francisella (p = 0.89) between non-transfected and transfected macrophages (Figure 1C and 1D). This suggests that expression of TfR1 does not affect bacterial entry processes. Francisella, however, failed to proliferate in macrophages in which expression of the transferrin receptor was suppressed (Figure 1C; p = 0.005). The amount of Francisella recovered after 24 h most likely represents growth in macrophages which

could not be transfected with siRNA. In contrast, intracellular proliferation of S. typhimurium was not affected by the lack of TfR1 (Figure 1D; p = 0.89). Addition of lactoferrin – chelated iron (Fe content >0.15% w/w, final lactoferrin concentration of 0.01 mg/ml) as external iron source to macrophages with suppressed TfR1 rescued the proliferation of Francisella at intermediate levels (data not shown). Spatial R428 ic50 relationship of transferrin receptor and Francisella-containing vacuole Some intracellular pathogens have devised ways to attract transferrin receptors to the intracellular vesicles they reside in [11]. When Salmonella enters

macrophages, it localizes to an early endosome that is characterized by EEA1 selleck chemicals llc and recruitment of the transferrin receptor (TfR1). As the Salmonella-containing vacuole matures and acquires markers of late endosomes (Rab7, Rab9), it also loses TfR1 [25, 26]. Francisella differs from Salmonella by escaping early during infection from its endosomal environment. Since little is known about TfR1 in macrophages infected with Francisella, we investigated the role of the transferrin receptor during infection and Anacetrapib its relation to the maturation of the Francisella-containing vacuole (FCV). Murine macrophages (RAW264.7) were infected with Francisella LVS that constitutively expressed Gfp. At defined

time intervals, infected cells were fixed and prepared for immunostaining. This demonstrated that early during entry (15 and 30 minutes after infection), there is significant co-localization of FCV and TfR1 (Figure 2A and 2E). As Francisella is trafficking away from the cell membrane during the time course of the infection, the co-localization with TfR1 is lost (Figure 2B and 2E; p = 0.88 for comparison of 15 and 30 minutes timepoints, p = 0.006 for 30 and 45 minute timepoints, and p = 0.61 for 45 and 60 minute timepoints (Student’s t-test). Figure 2 Transferrin receptor TfR1 and Rab5, but not Rab7, co-localize with Francisella. Macrophages (RAW264.7) were infected with Francisella that constitutively expressed green fluorescence protein (Gfp). At defined time intervals of infection, cells were fixed and stained with goat anti-TfR1 (A, B), with rabbit anti-Rab5 (C), or goat anti-Rab7 (D), followed by reaction with goat-anti-rabbit or rabbit-anti-goat IgG conjugated to Alexa594 (red fluorescence). Representative confocal images for thirty minutes of infection from twenty z-stacks acquired at 0.2 μm intervals are shown for each fluorescence channel, which were then merged using Volocity 4.

Among them, boron one-dimensional nanostructures are expected to

Among them, boron one-dimensional nanostructures are expected to have broad applications for their high conductivity, high aspect ratios, and excellent performance in harsh conditions [14–20]. In the last several years, so many experimental studies have performed on the one-dimensional boron

nanowires, and a great progress has been obtained up to now [21–27]. Just recently, the vertically aligned single-crystalline boron nanowire arrays have been especially prepared [21]. Therefore, further explorations theoretically and experimentally on the one-dimensional boron nanostructures appear to be timely and desirable. However, the possible configurations and stability, as well as the electronic and magnetic properties of boron Idasanutlin nanowires, which are important for the experimental preparation and technological applications, have not been reported so far. As a result of the well-aligned single-crystalline boron nanowires reported [21], in this contribution, we perform a theoretical study on the stability and LY2109761 datasheet magnetic and electronic properties of boron nanowires growing from the unit cells of stable B bulks. Methods Herein,

we firstly get the different boron nanowires from the growth of the unit cell of the bulk boron, respectively, along different base vectors. Well known among the various boron allotropes, the most stable phases of the boron bulk are the α-rhombohedral (α-B) and β-rhombohedral (β-B) boron [28]. The α-B is the simplest one that consists of a distorted B12 icosahedron per unit cell, forming an fcc-like structure. The β-B is the most commonly found Branched chain aminotransferase modification and can be considered as an fcc-like structure consisting of the B84 quasi-spheres together with the B10-B-B10 chains located in the octahedral interstices formed by the B84 spheres [29]. In the following study, we respectively attain three different boron nanowires from the growth of the unit cell of the ground states of α-B and β-B along different base vectors. We then carry out the first-principles investigation of

the stability and electronic and magnetic behaviors of the considered boron nanowires. Additionally, the dependence of the electronic and magnetic properties on the growth direction of boron nanowires is discussed. These investigations are expected to provide valuable information for future applications of boron nanostructures. We perform the first-principles spin-polarized density functional theory (DFT) using the SIESTA computation code [30–32], which is based on the standard Kohn-Sham self-consistent DFT. A flexible linear combination of numerical atomic-orbital basis sets is used for the description of valence electrons, and norm-conserving nonlocal pseudopotentials were adopted for the atomic cores. The pseudopotentials are constructed using the Trouiller-Martins scheme [33] to describe the interaction of valence electrons with atomic cores.