Differentiation and Phylogenetic Relationships in Mycobacterium Spp with Special Reference

Differentiation and Phylogenetic Relationships in Mycobacterium Spp with Special Reference

Appendix

Differentiation and phylogenetic relationships in Mycobacterium spp with special reference to the RNase P RNA gene rnpB

Björn Herrmanna,*PelleStoltb, Guma Abdeldaima,c, Carl-Johan Rubina, Leif A. Kirsebomb,Mikael Thollessond

aSection of Clinical Bacteriology, Department of Medical Sciences, Uppsala University, SE-751 85 Uppsala, Sweden

bDepartment of Cell and Molecular Biology, Biomedical Centre, SE-751 24 Uppsala, Sweden

cNationalCenter for Diseases Control, Algeria street, P. O. Box 15038 Benghazi, Libya

dSystematic Biology, Department of Organismal Biology, Evolutionary Biology Centre, Norbyvägen 18D, Uppsala University, SE-752 36 Uppsala, Sweden

Additional information

Bacterial strains: Mycobacteria used in this study are listed in Table A1.

Phylogentic methods: The obtained alignments (individual genes and concatenated alignments) were used for phylogenetic inference using a Bayesian approach as implemented in MrBayes3.1.2 [1]. MrBayes uses Metropolis Coupled Markov Chain Monte Carlo methods to calculate the posterior probabilities for the parameters of interest. Each analysis was run for 1107 generations with four differently heated chains each in two independent chains; generations before convergence (as monitored on all continuous-valued parameters) were discarded as burn-in. Default, mainly non-informative, priors were used for all parameters.

To select an adequate model for the Bayesian analysis, we used an hierarchical likelihood ratio test (ηLRT) approach [2]. To do this, we used PAUP* 4.0b10; Macintosh versions [3] and the same test hierarchy (and thus model selection) as implemented in the program Modeltest[4]at p<0.01. Neighbour-Joining (NJ) trees under the Jukes-Cantor (JC) model were produced for each of the data sets/partitions separately as well as in combination, and the parameters and likelihood of each model were estimated using these trees.

References

1.Huelsenbeck JP, Ronquist F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001;17:754-5.

2.Huelsenbeck JP, Crandall KA. Phylogeny estimation and hypothesis testing using maximum likelihood. Annu Rev Ecol Syst. 1997;28:437-6

3.Swofford DL. PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). 4 ed. Sunderland, Massachusetts: Sinauer Associates; 2003.

4.Posada D, Crandall KA (1998). MODELTEST: testing the model of DNA substitution. Bioinformatics 14:817-818.

Table A1. Strains, GenBank accession numbers of rnpB, 16S r RNA and hsp65 gene sequences and sources of strains used for rnpB analysis.

Genbank accession no

Strain / rnpB / 16S rRNA / hsp65 / Source
M. abscessus CCUG 20993 T = ATCC 19977 T
M. africanumCCUG 38147T = ATCC 25420T
M. asiaticum CCUG 29115 T = ATCC 25276 T
M. aviumsubspavium CCUG20992 T = ATCC 25291T
M. aviumsubspparatuberculosis
M. bovis CCUG 21049
M. chelonae CCUG47445 T = ATCC 35752 T
M. farcinogenesCCUG 21047 T = ATCC 35753 T
M. fortuitum CCUG 20994 T = ATCC 6841T
M. gastrii CCUG 20995 T = ATCC 15980 T
M. gilvum PYR-GCK
M. gordonaeCCUG 21801T = ATCC 14470T
M. kansasii CCUG 27787 = ATCC 12478 T
M. lepraestrain TN
M. malmoense CCUG 37761T = ATCC 29571T
M. marinum CCUG 20998T = ATCC 927T
M. microti CCUG 21046T = ATCC 19422T
M. nonchromogenicum CCUG 28009T = ATCC 19530T
M. scrofulaecum CCUG 29045T = ATCC 19981T
M. simiae CCUG 29114T = ATCC 25275T
M. smegmatis CCUG 21002T = ATCC 19420T
M. szulgai CCUG 37675T = ATCC 35799T
M. tuberculosis CCUG 37357 T =ATCC 25618T = ATCC 27294T
M. ulceranssubspshinsuense CCUG 47666= ATCC 33728
M. vaccae CCUG 21003T = ATCC 15483T
M_vanbaaleniiCCUG 55853 T =DSM 7251 T
M. xenopi CCUG 28011T = ATCC 19250T
Corynebacteriumdiphteriae ATCC 700971 / HQ724619
HQ724638
HQ724632
HQ724631
NC002984
HQ724636
HQ724618
HQ724626
HQ724621
HQ724641
NC009338
HQ724633
HQ724642
NC002677
HQ724639
HQ724628
HQ724635
HQ724627
HQ724622
HQ724630
HQ724623
HQ724640
HQ724634
HQ724629
HQ724624
NC008726
HQ724625
NC002935 / AF48059
NR025238
AF480595
GQ153272
NC002984
L26327
AF480594
AF055333
X52933
AF480602
NC009338
X52923
AF480601
NC002677
GQ153278
NR_025214
NR_025234
DQ058406
GQ153271
GQ153280
AY457078
NR026080
FJ468345
AB548733
AF480591
AY636003
X52929
NC002935 / AY498743
FJ617583
AY299133
AY299177
NC002984
AY299178
AY498742
AY299150
AY299152
AY299182
NC009338
AY299184
AY299189
NC002677
GQ153293
AF456470
AY299135
AF434732
AY299138
GQ153292
AY458065
AY299141
AY299144
AB548732
AY299163
AY438091
AY373454
NC002935 / CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG GenBank
CCUG
CCUG
GenBank
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
CCUG
SMI
CCUG
CCUG
GenBank
CCUG
GenBank

ATCC, American Type Culture Collection, Manassas, VA, U.S.A.; CCUG, Culture Collection University of Göteborg, Gothenburg, Sweden; SMI, Swedish Institute for Infectious Disease Control, Stockholm, Sweden.