Left HaeIII

5.0 10.0 φSa3

Left HaeIII

1.0 3.0 5.0 10.0

φSa3 Center

HaeIII

4.0 5.0 3.0 2.0

1.0

M 2 3 4 9 10 M 2 3 4 9 10

M 2 3 4 9 10

E

D C

10

ƿ2ƾ Ņŏ,=ȩ‰ŦÍĥN‚€-Øā

2-1. Ėǹ

ȮǡocFƏǢ-»ýƛÿǮœ(.ŏǢ--ǮœĈǻ,ƫƨ=)úmobile

genetic elements

)RCQgw@Ǯœ=ĬŰ,»Ȩ=)(=Ãƾ(-genomic elements-scanningŰ.SCCmecîÀ)ØŚ,genomic elementsǮœ, ě!=-’RCQgw@Ǯœ=ĬŰ)'MLST9RCO{‚Y (Coa) îÀ+

*Ƭ;>'=MLST.ŏǢ¥Ō=ƒßǑij,†ÔŞ+7%-hFVL‚m€

OȎ˜ý-÷ƚj\‚€;Ǣ-džǏǮœ@ǥŃŰ(< (20)ƎëMRSAĩŕƠ ǀ-ÖƹĩŕƠƕŒŗ-Ǯœ,ūƔ>'=CoaîÀ.ŏǢƓƒ=Coa)Þ />=nDo|€¸ê,ȗ‡=\€jN-İÍĥ,ñ&»ȨŰ(= (92)%' .ÖCoaî,Ĉ=İœ,:=ĮÁǴȬǥ?>'!ȃĕ:<šƱĥ-ȭ PCR(-»ȨŰƱƽ>! (68)CoaîÀ.Ņŏ,'ȩ‰Ŧ»ȟŗ-ŘŖ,ūƔ

>'<ȩ‰ŦƕŒŗ.Ɖā-ǤŻî (IIî/IIIî/IVî/VIIî) ,Ȟƺ=) Ƭ;>'= (36, 56, 68, 75)

ȮǡocFƏǢ-#MRSA,:=ĩŕƠ(.MLST)SCCmecîÀ@nj5×?

!ǮœƥA,ǥ?>ǩĽ-Ȏ˜ÿƣ,ȃǓ+N‚€òÝ>'=Ó´ƣ +MRSAN‚€)'ST250 (CC30)/SCCmecIƬ;>'= (18, 21)-ğùŚ+N‚€òÝ>ÊơńDzȗȉî-MRSAN‚€)'Ņŏ9ÈDŽ (.CC5/SCCmecII-New York/JapanN‚€z‚_j(.CC5/SCCmecI

-EMRSA16/pediatric N‚€-ƟȚµ(-ĩŕäȧ)+$'= (18)ƒŃ

1990ĕ”•șŅŏ@Û7!ˆƗ‰(ÊơńDzø(-MRSAĩŕ (ď‰ĩŕî MRSA) äȧǭ>'= (16)Ɖ,ÈDŽ(.ST8/SCCmecVI-USA300N‚€

-þëŸÂ+äȧ,+$'<ȃĕ(.ÊơńDz,'8»ȟŸòÝ>'

= (62)-:,ĩŕƠ;-»ȟŗ(.-ǵNJ+Ȏ˜ÿƣǚŊǮœ>Ǎň ƣ%ìƐƣ+S‚qE{€V,:$'ĩŕƠĮŠ-!7-ñƲħòƱƽ>'

=ŏƾ(.ȩ‰ŦƢƒĮŠ-!7-ƶÿƣñƦ-ĜĪ@ƨƣ)'Ŏ"òÝ-+

ȩ‰ŦÍĥN‚€-Øā)Ȏ˜ÿƣƉġ-Ǯœ@Ǵ5!

2-2. Őŀ:0ŃŰ

2-2-1.  ǴǢŗðȫő–+;0,DNAıº

ŏƾ(.Ņŏ(»ȟ>!506ŗ-ȮǡocFƏǢ@žƔ!-#42ŗ.

1990-2010ĕ,Ƣƒ!ȩ‰ŦŸ»ȟŗ(<²'ƚ+=ȩ‰ŦŸ;»ȟ>

!329ŗ.2005-2010ĕ,'ƚ+=©ĒǙ-ȯǜ;-»ȟŗ(=85ŗ.

1990ĕ•ș,Ƣƒ!ÖƹȮǡocFƏǢƝĦ (ļǤƠ˜ŕĥǟƞƜocFƏǢĥ ƤǞƅ«ŚƠ§ǗCbm‚ĥƤǞƃ+*) -ĦǙ;-»ȟŗ(=4!Ţ<.

2007ĕ,úȘ-V‚j‚u‚P_b-Ǽƈ;»ȟ>!Ƒô»ȟŗ50ŗ (52)

@žƔ!Ö»ȟŗ-»ȟìï@é2-1,ƳŏƮƻ(.£Ăƣ,ǥĻÉ»(.+

ìƐƣ+»Ł=čť(-»ȟĽ@Ƴ4!ŏƮƻ(žƔ!ŗ,.ȟč(

»ȟ>!8-.þë++ȮǡocFƏǢ-ðȫ)DNAıº.ƿ1ƾ,DZ Ȃ!ŃŰ)ØŚ,ǥ$!

2-2-2. ȮǡocFƏǢ-genotyping

ŏƮƻ(.CoaîÀSE/SElî:0MLST@genotypingŰ)'ǥ$!ž

Ɣ!p{Eu‚X_b@ǧ2-1,ƳCoaîÀ.Sakai; (68) òÝ!p{E u‚X_b@Ɣ'ǥ$!ŏŰ(.2ƹȨ-p{Eu‚X_b<X_bA)X _bB,.> >CoaIIICoaIVCoaVIICoaVIII)CoaICoaIICoaV

CoaVI@Ɖƚƣ,õē(=p{Eu‚Û4>'=PCRÏĤ.QIAGEN

Multiplex PCR Kit (QIAGEN) @Ɣ'ÏĤŷ.x‚J‚-pbR‚},ſIJ MyCycler™ j‚Zd}S‚u}SEN{‚ (Bio-Rad) @Ɣ'ǥ$!ÏĤő–.

9515»-ğ35æ-õē (9430Ʒ5730Ʒ7290Ʒ) @ǥŋ

ğ,7210»(ŋNj™Ě@ǥ$!õēƓƈ.3% NuSieve 3:1 Agarose Gel (Cambrex Bio Science Rockland) ) 0.5 × Tris-boric acid-EDTA (TBE) buffer@Ɣ' ȠŨűÆ@ǥ0.5μg/ml EtBr)UVb{€VE}vf‚\‚@Ɣ'ÔǭÇƱǶ

! 0.5×TBE .10x b|V/sFȑ/EDTA (TBE) (Bio-Rad) @đȒ'Ī!

SE/SEl-Ȏ˜ýîÀ.Omoe; (58) òÝ!p{Eu‚X_b@Ɣ'ǥ$

!SEA-SERȎ˜ý)TSST-1Ȏ˜ý@Ɖƚƣ,õē=(=4ƹ-p{Eu

‚X_b (X_b1: seasebsecsedseefemB, X_b2: segsehseiselj sepfemA, X_b3: seksemseotst-1femA, X_b4: selsenserseq

femB) @Ɣ'õē!PCRő–:0õēƓƈ-ƱǶ.CoaîÀ)ØŚ(=

õēƓƈ.„ȅ-CoaîÀ)ØŚ ,ȠŨűÆ,:<ƱǶ!

MLST.Enright; (20) òÝ!p{Eu‚X_b@Ɣ'ǥ$!Ȯǡoc FƏǢ-7ƹȨhFVL‚m€OȎ˜ý (arccaroeglpfgmkptatpiyqil)

-> ->-Ȏ˜ýµ,þë=¥þĥ-ȭȥï,Dzǯ->!p{Eu‚X_b@Ɣ '-Ȗ,þë=Ô÷ȥï-óñȐ½-ŧȁǮœ@ǥ$!û7,TaKaRa Ex Taq®

Hot Start Version (Takara) )0.4M-up- and dn-p{Eu‚@Ɣ' ÖȎ˜

ý-õē@ǥ$! ÏĤő–.955»-ğ30æ-õēÏĤ (9560Ʒ

5560Ʒ7260Ʒ) @ǥŋğ,725

»(ŋNj™Ě@ǥ$!ÏĤŷ-njĪ.x‚J‚-pbR‚},ſIJPCRÏĤ,.MyCycler j‚Zd}S‚u}

SEN{‚ (Bio-Rad) @Ɣ'ǥ$!õēƓƈ .QIAquick PCR Purification Kit

(QIAGEN) @Ɣ'DžǨ!DžǨ!DNA ŁƇ-óñȐ½ŭā.ƿ1

ƾ)ØŚ-ŃŰ(ǥ$!Ġ;>!óñȐ½@MLSTa‚\q‚V(http://saureus.mlst.net/) @Ɣ 'ÖȎ˜ý-Allele number@ŭā-nj5×?:<Öŗ-sequence types (STs) @Øā!;,ȃǓ-ST.Clonal complexes (CCs) )'4)7!

MLST@Ɣ!ȮǡocFƏǢȞè-ŜĘé.PHYLOViZ 1.0 (http://www.phyloviz.net/wiki/) @Ɣ'ĸƖ!

2-2-3. SEA-ƓƒȔŽā

2-2-3-1. |R€ld€bSEADžǨ

ȮǡocFƏǢƓƒ=SEA-āȔ.Sandwich ELISA@Ɣ'ǥ$!4

Hu et al. ; (34) -ŃŰ,ſIJƉƚİœ-Ī)ELISA-ŘȔǒ,žƔ=|R€

ld€bSEA-DžǨ@ǥ$!SEA-ƢƎ)DžǨ,.pGEX GST system

(Pharmacia Bioscience) @Ɣ!Ampicillin Sodium (Wako) @NjƁė100 g/ml, +=:,źÅ!2x YT MicrobialMedium (Sigma) (•…2x YT/Amp)Ƙ) 100 ml ,\€jNǽƢƎƔp{VvcpKAX (34) @ĉ±!úǝǢBL21 (Novagen) @Ķƹ 3716~18ňȖ ĴƧðȫ!ş(Ǣŷ50 ml@2x YT/Amp (950 ml) ,

Å30(O.D. 6000.6 ~0.8,+=4(ĴƧðȫ!O.D-Žā,.

SmartSpec Plus VrNbnHbx‚\‚ (Bio-Rad) @žƔ!GSTǣ×|R€l d€bSEAƢƎǷĉ-!7Isopropyl -D- Thiogalactoside (Sigma) @NjƁė1.0 mM,+=:,źÅ373ňȖĴƧðȫ!ðȫğ-Ǣŷ@ȍĢĠ;>

!Ǣœ@1 mM dithiothreitolźÅ Bug BusterR Protein Extraction Reagent

(Novagen) @Å'Ǣœ@ƯöȍĢ»ȟğ-„Ż (ÔƀĥƖ») @æÐ!Ôƀĥ Ɩ»,50%Ɓė,Ǹľ! Glutathione Sepharose^TM4B (GS4BAmersham

Bioscience) @ÅŪ‰(1ňȖȡǖ GSTǣ×rSEA)ǎ×5

¦Ȕ-Dulbecco’s Phosphate buffered saline (-) (PBS) (3æŲŶ!Glutathione Elution Buffer (50 mM Tris-HClpH8.0/ 10 mM L-glutathione reduced (Sigma)) @GS4B) ØȔÅ'GS4B;GSTǣ×rSEA@ǮȟȍĢ'„Ż (GSTǣ× rSEAƖ

») @æÐ!-ǥƸ@3æǕ<Ȅ!ğPD-10 columns (GE Healthcare) („

Ż@ PreScission^TMProtease buffer (50 mM Tris-HClpH7.0/ 150 mM NaCl/ 1 mM EDTA/ 1 mM dithiothreitol) ,bufferĹPrescission^TM Protease (Amersham Bioscience) @GSTǣ×rSEA 100 g!<2 UÅ'4ƒʼnȡǖGST) rSEA@¼Ł!GSTǣ×SEA@ǎ×!ȝ)ØȔ-50%GS4B@ÅŪ‰(1 ňȖȡǖ'ȊȟGST@ÜƫPoly-Prep Chromatography Columns (Bio-Rad) (Ƃȋ'GS4B@»ȟDžǨrSEA@æÐ!

2-2-3-2. ELISAƔt|N‚d}İœ-DžǨ)śǺ

DžǨ!rSEA@Ɣ'FSM-°ƛ@ǥ$!Shinagawa;-ŃŰ (70) ,ſ'

°ƛ@ǥ$!²ĵǤğĄż(Ǥŷ@¸ê-ğ 4(ǴȬǂ@ƽ'1Ņȡ ǖǤȪ@țÎğȍĢ'„Ż@æÐ-20(¥þ!ǤŻ-IgG»Ɩ-Dž Ǩ.MabTrap^TMKit (Amersham Biosciences) :0HiTrap^TM Protein G HP (Amersham Biosciences) @Ɣ!ǤŻ1~3 ml@ȍĢ„Ż@MabTrap^TM Kit

-“Ċ-1x PBS(2¦đȒ0.22 mnD}\‚(Millex GPR 0.22 m

Millipore) (Ƃȋ¹Ɛ'S€p})!1x PBS(ĔǦÇ! HiTrap^TMProtein G HP,S€p}ƀŷ@2 mlȆŷ'IgG»Ɩ@ǎ׶0 1x PBS(ĔǦÇ!

ş(“Ċ-0.1 M glycine-HCl (pH3.0) (IgG»Ɩ@ƀºƀºŷ1 ml,Ĉ Neutralizing Buffer 70 l@Źàƀºŷ@‰à!Ȇŷ,.PERISTAR

MINIPUMP (ATTO) @žƔ!Ɖƚİœ-DžǨ,. HiTrapTM

NHS-activated HP (Amersham Biosciences) @Ɣ'rSEAJ_p|€OJ{w@ǨrSEAƉƚ İœ@DžǨ!J_p|€Oi_nB‚ (0.2 M NaHCO30.5 M NaClpH8.3) ,i _nB‚ĹƁǔ!ÖrSEA 2~3 mg @1 mM HCl,:<ųĥÇ!HiTrapTM

NHS-activated HP,ȆŷĄż(30 »ȡǖİÍ-J_p|€O@ǥ$!J

{w,Buffer A (0.5 M ethanolamine0.5 M NaClpH8.3) :0Buffer B (0.1 M acetate0.5 M NaCl pH4.0) @,6 mlȆŷ>@3æǕ<Ȅ'o_L

€O@ǥ$!1x PBS@2 mlŵ'pHǸľ@ǥÖrSEJ_p|€OJ{w@

Ǩ!Ȇŷ, .PERISTAR BIO-MINIPUMP@žƔ!ÖǤŻ@ȍĢğ1x PBS(2¦đȒ0.22 m nD}\‚ (Millex GP^®0.22mMillipore) (Ƃȋ' S€p})!Ġ;>!İSEAFSMƉƚİœ.Horseradish Peroxidase (HRP) ś Ǻ, !HRPśǺİœ-Ǩ,.EZ-LinkTM

Plus activated Peroxidase Kit (PIERCE) @Ɣ!Ġ;>!Ɖƚİœƀŷ@ǿLjũ,ȇœ-80(·ǎğƪƼ·

ǎŒƆŝ (LABCONCO) (·ǎŒƆ!·ǎŒƆğ-Ɖƚİœ@„DZ-L_bpb R‚},ſIJśǺ@ǥ$!

2-2-3-3 SEAƉƚƣsandwich ELISA

Omoe; (59) -ŃŰ,ſELISAƔ-ȮǡocFƏǢðȫ„Ż@æÐ!+

?#Yeast Extract@1% (w/w) źÅ!BHI broth 60ml,ƒʼn37(ðȫ!

Ǣŷ@¾ōǢĽ 103

CFU/ml)+=:Ķƹ300mlíÒn{VR (ņưý) (ĴƧð

ȫ! (3748ňȖ)ðȫŷ@14,000 rpm20»ȍĢ'Ǣœ@ŮŤ„Ż@

æÐ'0.22 mnD}\‚(Millex GPR 0.22 mMillipore) (Ƃȋ! „Ż‰

-Protein A@țÎ=!7,Normal rabbit serum (NRS) (Amersham) @ǀȔ

(vol/vol) Ź× 4(ƒʼnÏĤ!-ÏĤŷ@Can Get Signal

Immunoreaction Enhancer Solution 1 (TOYOBOTokyoJapan) (100Ȳ10,000đ ȒELISAS€p})!ELISA-ŘȔǒ,.DžǨrSEA@PBS,ȇœŋNj

Ɓė0.1% (w/vol) ,+=:,BSA@źÅ!V\€]‚cƀŷ@Ɣ!

Sandwich ELISA-êƩİœ,.„ȅ-IgG»Ɩ2µg/ml@śǺİœ,.؄ȅ -HRP śǺİœ@20000¦đȒ'100µl%Ɣ!ELISA-p~‚b,.

F96 Maxisorp Nunc-Immuno Plate (Nunc)Blocking,.Starting Block^TM(PBS) Blocking Buffer (PIERCE)śǺİœ-đȒ,.Can Get Signal

Immunoreaction Enhancer Solution 2 (TOYOBO)ELISA-ñǽ,.

SuperSignal^® ELISA Femto Maximum Sensitivity Substrate (Thermo Fisher Scientific)Žā,.Wallac 1420 ARVO MX/Light (PerkinElmer) 8.

Varioskan Flash (Thermo Fisher Scientific) @Ɣ!4!NRS,:=protein A -ȢƉƚÏĤ-țÎ@ƱǶ=!7fK`DoR€b‚})'NRS;DžǨ

!šĒFSMIgG»Ɩ@êċ!ÖSandwich ELISA(؃S€p}@ŽāȢƉ ƚ+ÏĤo{€N)Øǀ4(›…=)@ƱǶ!S€p}-đȒ¦ƍ)Ƣ¯æ Ľ)ŘȔǒ-Ƣ¯æĽ;ðȫŷ‰-SEAƓƒȔ@ǁº!

2-2-4. Genomic elements-Ǯœ

ȮǡocFƏǢ-Qgw„,þë=genomic elements-Ǯœ.ƿ1ƾ(Ʊƽ

!genomic elements-scanningŰ,:<ăń!

2-2-5. ăȬĭǶƙÕ

ŏƮƻ-#Ȏ˜ýnjĹ,¤=8-.ČĬúÿȎ˜ýnjĹƒƈĀ²ăȬüâ—

-ĭǶ@Ñ'ăń! (ĭǶƙÕ: B201015:0B201016)4!ÆƈăȬ,¤=8 -.ČĬúÿÆƈăȬüâ—-ĭǶ@Ñ'ăń! (ĭǶƙÕ: A201065)

2-3. ǎŔ

2-3-1. Öƹ»ȟŗ-CoaîÀ

Multiplex PCR@Ɣ!2%p{Eu‚X_b(-PCR,:=CoaîÀ-ǎŔ@ǧ 2-2,Ƴ70%•„-ȩ‰ŦƕŒŗȩ‰Ŧ(ȓǪǭ>'=CoaVIIî@Ƴ!

-’-ƕŒŗ(.35%•…-þëȦė($!ƒŃȩ‰ŦƕŒ(ù)>

'=CoaIIî,»Ȩ>=ŗ-þëȦė.ȩ‰ŦƕŒŗ:<8ĩŕƠƕŒŗ(ȭ

$!ØŚ,ȩ‰Ŧ(ȓǪ)>'=CoaIIIî@Ƴŗ-þëȦė.²'-ƕŒ (23Øǀ($!>•ø-Coaî(.CoaICoaVICoaVIII@Ƴȩ‰Ŧƕ Œŗ.ǫ;>IVî9VIî(.²'-ƕŒ(ØƸė,Řº>'!

2-3-2. Öƹ»ȟŗ-SE/SEl¥ŌƊů

Multiplex PCR@ƔSEA-SERȎ˜ý)TSST-1Ȏ˜ý-¥ŌƊů@Ǯœ!ǎ Ŕ@ǧ2-3,Ƴȩ‰ŦƕŒŗ,'Ǯœ!20-Ȏ˜ý-#seaseb sehsekseq.’-ƕŒŗ)ŧȁLJ3Ȳ20¦ȭȜĥƍ@Ƴ!ƒŃsec

segseiselsemsenseotst1(.ȩ‰Ŧ:<8’-ƕŒŗƉ,ĩŕƠƕŒ

ŗ(ȭȜĥƍ@Ƴsep(.ȯǜƕŒ(ŋ8ȭȜĥƍ@Ƴ!see(.‘æ Ǯœ!ŗ-‰,Ȝĥŗ.þë+$! SE/SElȎ˜ý-nj5×? (ǧ2-4) ( .ȩ‰ŦƕŒŗ,'sea, seb, seh, sek, seq (28.6%)sea, seh, sek, seq (19.0%)

sea -5 (9.5%) -Ȥ,ùǶ7;>!ƒŃȯǜƕŒ(ŋ8ùǶ7;>!

SEs/SElsî.seg, sei, sem, sen, seo (18.8%) (< ȩ‰Ŧ(ù3 ƹ-Ȏ˜ýî-þëȦė.›$! (sea, seb, seh, sek, seq; 0.6%sea, seh, sek, seq : 0.6%sea;

3.0%)ØŚ,ĩŕƠƕŒ)ƑôƕŒ(.> >sec, seg, sei, sel, sem, sen, seo, tst1 (17.6%) )seg, sei, sem, sen, seo (10.0%) -SEs/SElsî-ŗŋ8ùȩ‰Ŧ ƕŒŗ(ȭȦė,ǫ;>!3ƹ-SEs/SElsî,%'8ĩŕƠƕŒŗ,'sea, seb, seh, sek, seq (1.2%) )sea-5 (3.5%) Ƕ7;>="(<ȩ‰ŦƕŒŗ)

>•ø-ŗ(.SEs/SElsî,'ƚ+=Ȏ˜ÿƣƉġǶ7;>!

2-3-3. Öƹ»ȟŗ-MLSTǮœ)ŧȁ

Ö»ȟŗ,=Š+Clonal complex (CC) -þëȦė@ǧ2-5,ƳMLST,:

<Ǣŗ-ƕŒ),řĪ=CC-ƉġŇ;,+$!+?#ȩ‰Ŧ»ȟŗ(.

CC81ŋ8ùş(CC508CC8-Ȥ,þëȦėȭ$!ØŚ,ȯǜ(.

CC508CC15CC188-ȤĩŕƠƕŒ(.CC5CC509CC121-ȤƑô(.

CC188CC12CC15 -Ȥ(þëȦėȭ$!>;CCs-#ȩ‰Ŧ»ȟŗ

,'CC81

-þëȦėªº'ȭ)¿Ň!ȩ‰Ŧ,=’-CCs+?#CC69CC8CC12+*(.’-ƕŒ)Øǀ-Ȝĥƍ@Ƴ-,Ĉ

'CC81.ȩ‰ŦƕŒŗ(.50%•„-Ȝĥƍ@Ì7!-’-ƕŒŗ(.3%

•…-Ȝĥƍ($!Ȱȯǜ2.7%: 329ŗ‰9ŗĩŕƠ1.1%: 85ŗ‰1ŗ2.0%: ȯ ǜ50ŗ‰1ŗȱ

-CC81,»Ȩ>!ŗ-Coaî:0SEs/SElsî»Đ@é2-2,Ƴ>;

CC81,»Ȩ>!ŗ-Coaî)SEs/SEls î.ȩ‰ŦƕŒ(.²'CoaVIIî(

<SEs/SElsî.sea, seb, seh, sek, seqsea, seh, sek, seq=.seb, seh

>-Ȏ˜ýî($!ĩŕƠƕŒ(.>;3ƹ-Ȏ˜ýî (CoaVII/sea, seb, seh, sek, seq4!.sea, seh, sek, seq4!.seb, seh) -#CoaVII/sea, seb, seh, sek, seq-Ȏ˜ýî@Ƴŗ1 ŗþë'!ƒŃȯǜƕŒŗ(.ȩ‰ŦƕŒŗ-3ƹ-Ȏ˜ýî,Å'CoaVI/sec, seg, sei, sel, sem, sen, seo=.seg, sei, sem,

sen, seo-SEs/SElsî@ƳŗÖ1ŗþë'!ƑôƕŒŗ(.ȩ‰ŦƕŒ

ŗ)؃-Ȏ˜ýî-ŗ.+CoaVII/seh-5Ȝĥ-ŗþë'!CC81-þ ëȦė.ȩ‰ŦƕŒŗ(ŌĨ,ȭ$! (p<1.0E-35, 2Řā)

2-3-4ÖƹCC-SEAƓƒȔ

ÖseaȜĥCCs-Yeast ExtractźÅBHI3748ňȖðȫ„Ż‰-SEA-Ɠƒ Ȕ@é2-3,ƳCC81-SEA-ƓƒȔ (6.65 0.43 µg/ml) .’-CCs (2.5µg/ml

•…) )ŧȁ3¦•„-ȭ¨@Ƴ!

2-3-5. CC81-Ȏ˜ÿƣǮœ

CC81@Û7!ȮǡocFƏǢȞè-ȃǓȗ¤-²œ­@é2-4,ƳCC81. ď‰ƌĠîMRSA(=MW2 (USA400N‚€) 9ď‰ƌĠîMSSA(=

MSSA476þë=CC1,ȃǓ($!;,-CC81.genomic elements -¥ŌƊů)Coaî,:<úŽ%-\Ep,»>=)¿Ň! (é2-5 :0ǧ2-6)+?#So\Ep1.CoaVIIî@Ƴgenomic elements -¥ŌƊ ů(.sehȗȉb{€Vt[€@ģ¥Ō!ƒŃSo\Ep2.CoaVIî@Ƴ genomic elements-¥ŌƊů(.sehb{€Vt[€@¥Ōegc@ģ¥

Ō'!;,9'ȥï,þë=genomic elements8é2-6-:,So\Ep

1.\EpASo\Ep2.\EpB)ƚ+$'!4!So\Ep1,»Ȩ>

=ŗ-ƒȏ.sebȗȉSaPIs9seaȗȉnB‚U@¥Ō'!So\Ep2(.

secȗȉSaPIs@¥Ō'=ŗþë'!+ŏƾ(žƔ!ȩ‰ŦƕŒŗ.

²'So\Ep1,»Ȩ>! (é2-5ǧ2-6)

2-4. ǘć

>4(,ȮǡocFƏǢ-ù-Ȏ˜ýȎ˜ýǗ@Ĉǻ)!Ȏ˜ÿƣǮœò Ý>'=ŏƾ(.-‰(8 Coa îÀSEs/SEls îÀMLSTgenomic

elements-scanning - 4 ĬŰ@žƔ!ŏƾ(žƔ!ȩ‰ŦƕŒŗ-ËĽ•„-ŗ

Coa îÀ,:< CoaVII îSEs/SEls îÀ,:< sea Ȝĥ@Ƴ!>;2 ƹ-ĬŰ@Ɣ!Ǯœ,'ȩ‰ŦƕŒŗȞè,'>;-Ȏ˜ýî-ȓǪĥ òÝ>'= (4, 36, 56, 68, 75)ȋÎ-ƮƻòÝ)×Ǡ=ǎŔ:<ŏƮƻ(žƔ

!ȩ‰ŦƕŒŗȞè.ȋÎ-ĿƋ(žƔ>!8-)Ȩš!´îƣ+ȩ‰ŦƕŒŗ Ȟè)ǘ;>=-´îƣ+ȩ‰ŦƕŒŗȞè)Ȣȩ‰ŦƕŒŗȞè@ MLST ) genomic elements-scanning @Ɣ'ǮœCC81 So\Ep 1 )ȩ‰Ŧ,Ɖġ ƣ+N‚€-þëŇ;,+$!ȩ‰ŦƕŒŗ(-ŏN‚€-þëȦė 50%

@Ȁ'<ŏN‚€-ȩ‰ŦǾçǢ)'-ȓǪĥƳã>=

CCs .-Ɗ,:<kbƕŒCC)ÆƈƕŒCC,úÀ>=Lindsay; (45) .kbƕŒCC.8ƹ-ŠǪ+CCs )3ƹ-uEd‚CC,»Ȩ(=)@òÝ '=ƒŃCC97CC705CC385CC398 .ÆƈƕŒ CC )'Ƭ;>CC97

) CC705 .FT-‹īƃ-j€av_NN‚€ (28, 88)CC385 .ąƵƕŒN‚

€ (47)CC398.o\ƕŒMRSAN‚€ (72, 84) )'Ƭ;>'=>;CCs -#CC81.kb-ŠǪCC-ƒ%(=CC1,ȃǓ(< é2-4-CC1-‰

Ģ,=ST1-allele number. (arccaroeglpfgmkptatpiyqil) = (11

11111) (ǧ>=ØŚ, CC81 -‰Ģ,=ST81 . (arccaroeglpf gmkptatpiyqil) = (1119111) (ǧ>=single locus variant(

<>;-CCs .ȮǡocFƏǢȞè-‰(8ȃǓ+Ȟè($!-);ŏ ȩ‰ŦÍĥN‚€.Æƈ(.+kbƕŒȮǡocFƏǢ-džǏ(= CC1 ;Ŵ ƒ!)ǘ;>!‘æžƔ!kb-ȯǜƕŒŗĩŕƠƕŒŗ(-þë Ȧė.›)Ň;,+$!!"ŏƮƻ(žƔ!ŗ.ƕŒť,»ȟìï, Ď=!7 (é 2-1)-ìïĥ-Ȍ.‘ğŘǰ=ģǪ=)ǘ;>=

Mizumachi ; (52) .Ǽƈǃ-:+p{V^_NǨá,;»ȟ>=Ȟè.

kb-ȯǜ+*-ĒëǢ).ƚ+=Ȟè(=);,-Ȟè-#=ƹ-dž Ǐ.iEInD}wȭƓƒ¬Ú) SEB Ɠƒĥ@Ƴȩ‰ŦǾçǢ-Z‚V)'-ÔǛĥ@òÝ'=-ƒìï (úȘ) ;-»ȟ(.=´îƣ+Ƒô;-»

ȟȞè-ƒ%,'8ŏN‚€-þëȦė.›¨@Ƴ!•„-ǎŔ:<ŏ N‚€-ŠǪ+Ŭŕž.†Ň$!

ď‰ƌĠîMRSA(=MW2)ď‰ƌĠîMSSA(=MSSA476.)8,CC1 ,îÀ>CoaVIIî(sehȗȉb{€Vt[€sea, sek, seqȗȉnB‚U9 -genomic element A@¥Ō'= (5, 32)ŏƮƻ(Øā!CC81 So\Ep1 8ØŚ,CoaVII î(ØŚ, genomic elements @¥Ō'<„ȅ- CC81 ) CC1 -Ȏ˜ÿƣǚŊȃǓ(=),Ågenomic elements 8Ȩš'=)

¿Ň!McCarthy; (49) .Ɖā-pnB‚UƉā-CC)ȗ¤Ÿ

;,sea, sek, seq ȗȉnB‚U.CC1,Ɖƚƣ,þë’-CC (.Ƕ7;>+

)@òÝ'=CC81So\Ep1)CC1)-Ȗ,Ƕ7;>=ȃǓ+Ȏ˜ÿƣǚ Ŋ)³Ȉ-Coa î+;0,genomic elements -¥Ō.>;-N‚€³Ȉ-ƴ®

;Ŵƒ!)@ĺij=8-)ǘ;>!

sea þë=nB‚U-ƹȨ.Ǣ- SEA Ɠƒ,ĝȣ@‡=)Ƭ;>'=

(8)Cao; (10) .MW2ŗ¥Ō=Sa3mw2.SEA-ȭƓƒ\Ep(=)@

òÝ'=CC81 So\Ep 1 . MW2 ŗ)ØŚ,Sa3mw2 @¥Ō=)

;-džǏ. SEA @’-džǏ)ŧ1'ùȔ,Ɠƒ(=)ǘ;>=Hu ; (34) .UyRFfWv@ž$!į‡ăȬ,:< SEA SEs -‰(8ŋ8ȭåÙųĥ@¥

Ō=)@òÝEvenson (22) ;.ȩ‰ŦŸ;-ķǯ;SEA -kb(-ȩ

‰ŦƢƠȔ@144ng/kb)ķǯ'=4! SEB 9 SEC +*-’- SEs (.NF H‚{wX€T€O-ĝȣòÝ>'= (6, 25, 65)SEA.Ǣ-õţnG‚W,

¡þijǐƣ,mRNAƢƎ=)Ƭ;>'< (17, 64)NFH‚{wX€

T€O-ĺȐ…,+)8òÝ>'= (78)4!- SEA -ƢƎ.ðì‰(

ȩá‰)ŧ1ȕō,?!<ijǐ=)8òÝ>'= (86)ŏN‚€.ȭSEA ƓƒxJeWw@¥Ō'=!7Ǣȩá,“ƫ!ňƄ;ùȔ- SEA @Ɠƒ

’-ŗ)ŧ1ƭōȖ,ƢƠŦljȔ- SEA @Û6ȩáŬŕ@ęǾ)(’

-ŗ)ŧ1ȭȦė,ȩ‰Ŧ@ęǾ'=)ķŽ>=•„-):<ŋ8ȭ åÙųĥ@¥Ō= SEA @ùȔ,Ɠƒ=)ŏN‚€-ȭȩ‰ŦÍĥ, ȗ‡'=)ǘ;>=!"ŏN‚€- SEA ȭƓƒxJeWw,nB‚U

•ø-Ǫç=-.†Ň(<‘ğ-ŘǰģǪ(=

ŏƾ,'CC81So\Ep1(.SEs/SEls -Ɖġ)'SEH@ģ¥Ō=

)Ň;,+$!SEA ).ƚ+<ȩ‰Ŧ,= SEH -ĞÄ.†Ň+Ƅù ȋÎ-åÙųĥdz¢,'8SEH -åÙųĥ.’- SEs -åÙųĥ)ŧ1›

)>= (34, 57, 59, 61)Omoe; (60) .łîSEs-‰(8SEH-ƓƒȔ .ȭ)@Ň;,Sakai; (67) .›ũ»ųĥő–(-ƢƎj\‚€;ȩ‰Ŧ ,=SEH-ȓǪĥ@Ƴã'=4!2000ĕ,Ƣƒ!úǬŜȩ‰ŦŸ,

'8SEA))8,SEHÍçȩá;Řº>'= (35)ȩ‰ŦÍĥN‚€(

=CC81So\Ep1 seh@ģ¥Ō'=);‘ğocFƏǢȩ‰Ŧ ,=SEHŔ!ĞÄ,%'Ň;,=ģǪ=)ǘ;>=

表

2-1.

本章で使用した

genotyping

用プライマー

プライマー

塩基配列

(5’-3’)

用途

参照

SEA3 CCTTTGGAAACGGTT AAAACG SEs/SEls

型別

58 SEA4 TCTGAACCTTCCCA TCAAAAAC SEs/SEls

型別

58 SEB1 TCGCA TCAAACTGACAAACG SEs/SEls

型別

58 SEB4 GCAGGT ACTCT A TAAGTGCCTGC SEs/SEls

型別

58 SEC3 CTCAAGAACT AGACA TAAAAGCT AGG SEs/SEls

型別

58 SEC4 TCAAAA TCGGA TT AACA TT A TCC SEs/SEls

型別

58 SED3 CT AGTTTGGT AA TA TCTCCTTT AAACG SEs/SEls

型別

58 SED4 TT AA TGCT A TA TCTT A TAGGGT AAACA TC SEs/SEls

型別

58 SEE2 TAACTT ACCGTGGACCCTTC SEs/SEls

型別

58 SEE3 CAGT ACCT A TAGA TAAAGTT AAAACAAGC SEs/SEls

型別

58 SEG1 AAGT AGACA TTTTTGGCGTTCC SEs/SEls

型別

58 SEG2 AGAACCA TCAAACTCGT A TAGC SEs/SEls

型別

58 SEH1 GTCT A TA TGGAGGT ACAACACT SEs/SEls

型別

58 SEH2 GACCTTT ACTT A TTTCGCTGTC SEs/SEls

型別

58 SEI1 GGTGA TA TTGGTGT AGGT AAC SEs/SEls

型別

58 SEI2 A TCCA TA TTCTTTGCCTTT ACCAG SEs/SEls

型別

58 SEJ1 A TAGCA TCAGAACTGTTGTTCCG SEs/SEls

型別

58 SEJ2 CTTTCTGAA TTTT ACCACCAAAGG SEs/SEls

型別

58 SEK1 TAGGTGTCTCT AA TA A TGCCA SEs/SEls

型別

58 SEK2 CA TCT A TTTCTTGTGCGGT AAC SEs/SEls

型別

58 SEL1 TAACGGCGA TGT AGGTCCAGG SEs/SEls

型別

58 SEL2 CA TCT A TTTCTTGTGCGGT AAC SEs/SEls

型別

58 SEM1 GGA TA A TTCGACAGT AACAG SEs/SEls

型別

58 SEM2 TCCTGCA TT AAA TCCAGAAC SEs/SEls

型別

58 sen forward GCTT A TGAGA TTGTTCT ACA TAGCTGC SEs/SEls

型別

58 sen reverse CA TT AACGCCT A TAACTTTCTCTTCA TC SEs/SEls

型別

58 SEO1 TGTGT AAGAAGTCAAGTGT AG SEs/SEls

型別

58 SEO2 TCTTT AGAAA TCGCTGA TGA SEs/SEls

型別

58 SEP3 TGA TTT A T TAGT AGACCTTGG SEs/SEls

型別

58 SEP4 A TAACCAACCGAA TCACCAG SEs/SEls

型別

58 SEQ1 AA TCTCTGGGTCAA TGGT AAGC SEs/SEls

型別

58 SEQ2 TTGT A TTCGTTTTGT AGGT A TTTTCG SEs/SEls

型別

58

SER1 GGA TAAAGCGGT AA TAGCAG SEs/SEls

型別

58 SER4 GT A TTCCAAACACA TCT AAC SEs/SEls

型別

58 femA1 AAAAAAGCACA TAACAAGCG SEs/SEls

型別

58 femA2 GA TAAAGAAGAAACCAGCAG SEs/SEls

型別

58 femB3 CACA TGGTT ACGAGCA TCA T SEs/SEls

型別

58 femB4 TGTTTCGGGTGTTTT ACCTT SEs/SEls

型別

58 coa1F GCA TTGGA TA TTTT AGAGAC Coa

型別

68 coa1R TCAAAACCTTCACTGTGA TT Coa

型別

68 coa2F AGAGGCACAA TTT ACTGGA Coa

型別

68 coa2R CCA TCTTT A TCAAACTGC Coa

型別

68 coa3F GCTCT A TA T TA TTTGGAAGACT Coa

型別

68 coa3R GAAAA TCA TCCAGTGCTCTC Coa

型別

68 coa4F AAAGTGAAAA TCCACA TTCT AG Coa

型別

68 coa4R TCTCT A T TTTCAGGCTT A T TA Coa

型別

68 coa5F GAGAAAGA TA TTT AAAAGCTGG Coa

型別

68 coa5R TTCTTTGTT A TCTTT AGGGCT Coa

型別

68 coa6F TT ACTTTTGGGGGAAAA TCG Coa

型別

68 coa6R CCA TAGTT AGA TT A TA TACAC Coa

型別

68 coa7F TTCA TTT ACTGGA TCAGC Coa

型別

68 coa7R GTT AAA TCGCCAAGA TCG Coa

型別

68 coa8F CACTT A T TACTGGGGAGT Coa

型別

68 coa8R CTTTTTCGACTGT A TA TCA TC Coa

型別

68 femAF AAAAAAGCACA TAACAAGCG Coa

型別

68 femAR GA TAAAGAAGAAACCAGCAG Coa

型別

68 ar cC -Up TTGA TTCACCAGCGCGT A TTGTC MLST 20 ar cC -Dn AGGT A TCTGCTTCAA TCAGCG MLST 20 ar oE -Up A TCGGAAA TCCT A TTTCACA TTC MLST 20 ar oE -Dn GGTGTTGT A T TA A TAACGA TA TC MLST 20 glpF -Up CT AGGAACTGCAA TCTT A A TCC MLST 20 glpF -Dn TGGT AAAA TCGCA TGTCCAA TTC MLST 20 gmk -Up A TCGTTTT A TCGGGACCA TC MLST 20 gmk -Dn TCA TT AACT ACAACGT AA TCGT A MLST 20 pta -Up GTT AAAA TCGT A T TACCTGAAGG MLST 20 pta -Dn GACCCTTTTGTTGAAAAGCTT AA MLST 20 tpi -Up TCGTTCA TTCTGAACGTCGTGAA MLST 20 tpi -Dn TTTGCACCTTCT AACAA TTGT AC MLST 20 yqiL -Up CAGCA TACAGGACACCT A TTGGC MLST 20 yqiL -Dn CGTTGAGGAA TCGA TACTGGAAC MLST 20

表

2-1

続き

表 2-2. 各種分離株における Coa 型

由来 Coa 型 食中毒 鼻腔 感染症 環境 (n=42) (n=329) (n=85) (n=50) CoaI - 7 (2.1%) 13 (15.3%) -

CoaII 3 (7.1%) 44 (13.4) 26 (30.6) 4 (8.0%) CoaIII 4 (9.5) 32 (9.7) 8 (9.4) 4 (8.0) CoaIV 3 (9.5) 23 (7.0) 13 (15.3) 4 (8.0) CoaV - 55 (16.7) 9 (10.6) 18 (36.0) CoaVI 1 (2.4) 7 (2.1) 1 (1.2) -

CoaVII 31 (73.8) 102(31.0) 5 (5.9) 13 (26.0) CoaVIII - 11 (3.3) 1 (1.2) 1 (2.0) 型別不能 - 48 (14.6) 9 (16.5) 6 (12.0)

表 2-3. 各種分離株における SEs/SEls 型 由来 SEs/SEls 食中毒 鼻腔 感染症 環境 遺伝子 (n=42) (n=329) (n=85) (n=50) sea 30 (71.4%) 34 (10.3%) 9 (10.6%) 2 (4.0%) seb 19 (45.2) 39 (1 1.9) 9 (10.6) 6 (12.0) sec 1 (2.4) 22 (6.7) 22 (25.9) 1 (2.0) sed 1 (2.4) 12 (3.6) 2 (2.4) - see - - - - seg 8 (19.0) 141 (42.9) 51 (60.0) 14 (28.0) seh 23 (54.8) 8 (2.4) 1 (1.2) 1 (2.0) sei 8 (19.0) 138 (41.9) 42 (49.4) 14 (28.0) selj 3 (7.1) 12 (3.6) 2 (2.4) - sek 22 (52.4) 16 (4.9) 4 (4.7) 1 (2.0) sel 1 (2.4) 22 (6.7) 23 (27.1) 1 (2.0) sem 7 (16.6) 123 (37.4) 52 (51.8) 10 (20.0) sen 8 (19.0) 143 (43.5) 51 (60.0) 13 (26.0) seo 7 (16.7) 119 (36.2) 44 (51.8) 10 (20.0) sep 4 (9.5) 58 (7.6) 12 (14.1) 10 (20.0) seq 22 (52.4) 17 (5.2) 4 (4.7) 1 (2.0) ser 3 (7.1) 12 (3.6) 2 (2.4) - tst-1 1 (2.4) 35 (10.6) 25 (29.4) 3 (6.0)

表

2-4

各種分離株の

SEs/SEls

型

由来

SEs/SEls

型

食中毒

鼻腔

感染症環境

(n=42) (n=329) (n=85) (n=50)

sea 4 (9.5%) 10 (3.0%) 3 (3.5%) - sea, seb, seh, sek, seq 12 (28.6) 2 (0.6) 1 (1.2) - sea, seb, sek, seq 2 (4.8) - - - sea, sec, sel 1 (2.4) 1 (0.3) 1 (1.2) - sea, sec, sel, tst-1 - 3 (0.9) - - sea, sed, selj, ser 1 (2.4) - - - sea, seg, sei, sek, sen, seq, tst-1 - 1 (0.3) - - sea, seg, sei, sek, sem, seo, seq - - - 1 (2.0%) sea, seg, sei, sem, sen, seo 1 (2.4) 5 (1.5) - - sea, seg, sei, sen, tst-1 1 (2.4) 2 (0.6) 2 (2.4) 1 (2.0) sea, seg, sen - 1 (0.3) 1 (1.2) - sea, seg, sek, sen, seq - - 1 (1.2) - sea, seg, sen, sep, tst-1 - 1 (0.3) - - sea, seg, sen, tst-1 - 2 (0.6) - - sea, seh, sek, seq, 8 (19.0) 3 (0.9) - - sea, sei, sen, tst-1 - 2 (0.6) - - sea, seq, tst-1 - 1 (0.3) - - seb - 4 (1.2) - 2 (4.0) seb, seg, sei, sem, sen, seo - 10 (3.0) 2 (2.4) - seb, seg, sei, sek, sem, sen, seo, seq - - 1 (1.2) - seb, seh 3 (7.1) 2 (0.6) - - seb, sek, sep, seq - 2 (0.6) - - seb, sek, seq - 3 (0.9) 1 (1.2) - seb, sep 2 (4.8) 16 (4.9) 3 (3.5) 4 (8.0) sec, seg, sei, sel, sem, sen, seo - 6 (1.8) - 1 (2.0) sec, seg, sei, sel, sem, sen, seo, tst-1 - 10 (3.0) 15 (17.6) - sec, seg, sei, sel, sem, sen, seo, sep, tst-1- - 4 (4.7) - sec, sel, sep, tst-1 - 1 (0.3) 1 (1.2) - sec, sel, tst-1 - 1 (0.3) - - sed, seg, sei, selj, sem, sen, seo, sep, ser - 10 (3.0) 1 (1.2) - sed, seg, sei, selj, sem, sen, seo, ser - 2 (0.6) 1 (1.2) - seg, sei, sek, sem, sen, seo, seq - 1 (0.3) - - seg, sei, selj, sem, sen, seo, ser 1 (2.4) - - - seg, sei, sek, sem, sen, seo, tst-1 - 1 (0.3) - - seg, sei, sel, sem, sen, seo, sep, tst-1 - - 1 (1.2) - seg, sei, sem, seo - - - 1 (2.0) seg, sei, sem, sen - 3 (0.9) 8 (9.4) - seg, sei, sem, sen, seo 3 (7.1) 62 (18.8) 5 (5.9) 5 (10.0) seg, sei, sem, sen, seo, sep 2 (4.8) 6 (1.8) 1 (1.2) 2 (4.0) seg, sei, sen - 10 (3.0) - 2 (4.0) seg, sei, sen, seo - 1 (0.3) - - seg, sei, sen, tst-1 - 6 (1.8) - 1 (2.0) seg, tst-1 - 1 (0.3) - - seg, sen - - 7 (8.2) - seg, sen, tst-1- - 1 (1.2) 1 (2.0) seh - - - 1 (2.0) seh, sen, seq, tst-1 - 1 (0.3) - - selj, ser 1 (2.4) - - - sek, seq - 2 (0.6) - - sek, sep, seq - 1 (0.3) - - sem - 1 (0.3) - - sem, seo - 4 (1.2) 11 (12.9) - sen - 1 (0.3) - - sep - 20 (6.1) 1 (1.2) 4 (8.0) sep, tst-1 - 1 (0.3) - - tst-1 - 3 (0.9)- - SEs/SEls遺伝子陽性株42 (100) 226 (68.7) 73 (85.9) 26 (52) SEs/SEls遺伝子陰性株- 103 (31.3) 12 (14.1) 24 (48)

表

2-5.

各種分離株における

CCs

の存在頻度

由来

CC

食中毒

鼻腔

感染症

環境

(n=42) (n=329) (n=85) (n=50) CC5 3 (7.1%) 28 (8.5%) 24 (28.2) 1 (2.0%) CC6 2 (4.8) 6 (1.8) 2 (2.4) - CC7 - 3 (0.9) - - CC8 4 (9.5) 27 (8.2) 4 (4.7) 4 (8.0) CC12 2 (4.8) 27 (8.2) 1 (1.2) 7 (14.0) CC15 - 42 (12.8) 3 (3.5) 6 (12.0) CC20 - 13 (4.0) 1 (1.2) 1 (2.0) CC25 - 9 (2.7) 3 (3.5) 3 (2.0) CC30 1 (2.4) 17 (5.2) 10 (1 1.8) 4 (8.0) CC59 2 (4.8) 4 (1.2) 1 (1.2) CC81 23 (54.8) 9 (2.7) 1 (1.2) 1 (2.0) CC88 - - 2 (2.4) - CC96 1 (2.4) 5 (1.5) - - CC97 - 7 (2.1) - - CC101 - 2 (0.6) - - CC121 - 14 (4.3) 10 (1 1.8) 1 (2.0) CC188 - 41 (12.5) 3 (3.5) 17 (34.0) CC398 - 3 (0.9) - - CC508 4 (9.5) 62 (18.8) 2 (2.4) 5 (10.0) CC509 - 5 (1.5) 13 (15.3) -

その他

* - 5 (1.5) 5 (5.9) - *singleton

表

2-6. CC81

に存在する

2

つのサブタイプ

サブタイプ

1 (n=32)

サブタイプ

2 (n=2)

由来

食中毒

, 23;

鼻腔

, 7

鼻腔

, 2

感染症

,1

環境

,1 Coa

型

VII VI SEs/SEls

型

sea , seb , seh, sek , seq sec , seg , sei, sel , sem , sen , seo

挿入部位 

genomic

 

elements 1.5’ seh- T ransposon + -

 

(30

陽性株

/

全

30

株

) 9’

   

genomic Type A (No SEs/SEls) T ype B (No SEs/SEls) elements (32/32) (2/2) 18’ SaPIs SaPIishikawa1 1 ( seb ) Putative SaPIs ( sec , sel ) (13/32) (1/2) 19’ SaPIs SaPIhhms2 (No SEs/SEls) - (2/32) 40’ egc - + ( seg , sei , sem , sen , seo ) (2/2) 44’ SaPIs SaPIno10 ( seb ) - (7/32) 44’ ( φ Sa3) Prophage φ Sa3mw2 ( sea , sek , seq ) - (25/32)

北海道: 19 株 (食中毒: 8株, 感染症11株)

図 2-1

四国: 150 株 (鼻腔: 149株, 感染症: 1株)

九州: 6株 (食中毒: 4株, 感染症: 2株)

本州: 275株 (食中毒: 30株, 鼻腔: 90株, 感染症65株, 環境: 90株) 図

2-1.

本研究で使用した菌株の分離地域。地理的な分断がある島毎の 分離数を示す。感染症由来株のうちは

6

株は分離地域不明である

Coagulase VII

: sea, seb, seh, sek, seq : sea, seh, sek, seq

: seb, seh

: sec, seg, sei, sel, sem, sen, seo

: seg, sei, sem, sen, seo : seh

Coagulase VI

ドキュメント内 分子疫学的手法を用いた食中毒原性黄色ブドウ球菌の遺伝学的解析 (ページ 45-68)