Representational difference analysis to identify genomic differences between two related pathogenic strains of Pseudomonas aeruginosa

被引:0
|
作者
Choi, JY [1 ]
机构
[1] Massachusetts Gen Hosp, Div Infect Dis, Boston, MA 02114 USA
来源
KOREAN JOURNAL OF GENETICS | 2000年 / 22卷 / 02期
关键词
Pseudomonas aeruginosa; pathogenesis; representational difference analysis; subtraction hybridization;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Representational difference analysis (RDA) is a recently developed technique used for amplifying genetic differences between two closely related genomes. The technique of RDA was adapted to the search for genes present in the PA14 strain but absent from the PA01 strain in Pseudomonas aeruginosa. Genes present in PA14 strain were physically subtracted from PA01 strain. The genes obtained from the second-round subtraction were tested by Southern blotting for their reactivity with the two species. The libraries achieved were comprehensive and specific in that they contain sequences corresponding to the presently identified PA14-specific genes. Of 16 randomly chosen clones specific to PA14 strain, the colony PCR confirmed that the majority of the products had the different size of genes. These results indicated that a number of unique fragments could be generated from the comparison of the two strains, that is consistent with the probable genetic differences between the two strains.
引用
收藏
页码:153 / 163
页数:11
相关论文
共 50 条
  • [1] Use of representational difference analysis to identify genomic differences between pathogenic strains of Vibrio cholerae
    Calia, KE
    Waldor, MK
    Calderwood, SB
    INFECTION AND IMMUNITY, 1998, 66 (02) : 849 - 852
  • [2] Use of representational difference analysis to identify genomic differences between strains of oral bacteria
    Bilak, R
    Valcarcel, J
    Mouton, C
    Allardet-Servent, A
    Michailesco, P
    Jumas-Bilak, E
    JOURNAL OF DENTAL RESEARCH, 2001, 80 (04) : 1221 - 1221
  • [3] Identification of virulence genes in a pathogenic strain of Pseudomonas aeruginosa by representational difference analysis
    Choi, JY
    Sifri, CD
    Goumnerov, BC
    Rahme, LG
    Ausubel, FM
    Calderwood, SB
    JOURNAL OF BACTERIOLOGY, 2002, 184 (04) : 952 - 961
  • [4] APPLICATION OF REPRESENTATIONAL DIFFERENCE ANALYSIS TO IDENTIFY GENOMIC DIFFERENCES BETWEEN BRADYRHIZOBIUM ELKANII AND B. JAPONICUM SPECIES
    Soares, Rene Arderius
    Pereira Passaglia, Luciane Maria
    BRAZILIAN JOURNAL OF MICROBIOLOGY, 2010, 41 (04) : 1142 - 1151
  • [5] Identification of genomic differences between Cryptococcus neoformans and Cryptococcus gattii by Representational Difference Analysis (RDA)
    Faganello, Josiane
    Dutra, Valeria
    Schrank, Augusto
    Meyer, Wieland
    Schrank, Irene S.
    Vainstein, Marilene H.
    MEDICAL MYCOLOGY, 2009, 47 (06) : 584 - 591
  • [6] REPRESENTATIONAL DIFFERENCE ANALYSIS - FINDING THE DIFFERENCES BETWEEN GENOMES
    LISITSYN, NA
    TRENDS IN GENETICS, 1995, 11 (08) : 303 - 307
  • [7] Representational Difference Analysis used to identify specific genomic regions in Escherichia coli strains responsible for neonatal meningitis.
    Bonacorsi, SPP
    Clermont, O
    Tinsley, C
    Le Gall, I
    Beaudoin, JC
    Elion, J
    Nassif, X
    Bingen, E
    MEDECINE ET MALADIES INFECTIEUSES, 2000, 30 (04): : 217 - 224
  • [8] Comparative genomic analysis of bovine, environmental, and human strains of Pseudomonas aeruginosa
    Szmolka, Ama
    Cramer, Nina
    Nagy, Bela
    FEMS MICROBIOLOGY LETTERS, 2012, 335 (02) : 113 - 122
  • [9] Comparative overview of the genomic and genetic differences between the pathogenic Neisseria strains and species
    Snyder, LAS
    Davies, JK
    Ryan, CS
    Saunders, NJ
    PLASMID, 2005, 54 (03) : 191 - 218
  • [10] Transcriptomic Analyses Elucidate Adaptive Differences of Closely Related Strains of Pseudomonas aeruginosa in Fuel
    Gunasekera, Thusitha S.
    Bowen, Loryn L.
    Zhou, Carol E.
    Howard-Byerly, Susan C.
    Foley, William S.
    Striebich, Richard C.
    Dugan, Larry C.
    Ruiz, Oscar N.
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2017, 83 (10)