scholarly journals Peer Review #1 of "Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance (v0.1)"

2015 ◽  
Keyword(s):  
Antibiotic Resistance ◽  
Population Structure ◽  
Neisseria Gonorrhoeae ◽  
Peer Review ◽  
Whole Genome ◽  
Genome Data

scholarly journals Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance

2014 ◽  
Author(s):  
Matthew N. Ezewudo ◽  
Sandeep Joseph ◽  
Santiago Castillo-Ramirez ◽  
Deborah Dean ◽  
Carlos Del Rio ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Population Structure ◽  
Neisseria Gonorrhoeae ◽  
Antibiotics Resistance ◽  
Whole Genome ◽  
Transmitted Infection ◽  
Data Set ◽  
Sexually Transmitted ◽  
Evolutionary Forces ◽  
Genome Data

Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection (STI) of major importance. As a result of antibiotic resistance, there are now limited options for treating patients. We collected whole genome sequences and associated metadata data on 76 N. gonorrhoeae strains from around the globe and searched for known determinants of antibiotics resistance within the strains. The population structure and evolutionary forces within the pathogen population were analyzed. Our results indicated a cosmopolitan gonoccocal population mainly made up of five subgroups. The estimated ratio of recombination to mutation (r/m=2.2) from our data set indicates an appreciable level of recombination occurring in the population. Strains with resistance phenotypes to more recent antibiotics (azithromycin and cefixime) were mostly found in two of the five population subgroups.

scholarly journals Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance

2014 ◽  
Author(s):  
Matthew N. Ezewudo ◽  
Sandeep Joseph ◽  
Santiago Castillo-Ramirez ◽  
Deborah Dean ◽  
Carlos Del Rio ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Population Structure ◽  
Neisseria Gonorrhoeae ◽  
Antibiotics Resistance ◽  
Whole Genome ◽  
Transmitted Infection ◽  
Data Set ◽  
Sexually Transmitted ◽  
Evolutionary Forces ◽  
Genome Data

Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection (STI) of major importance. As a result of antibiotic resistance, there are now limited options for treating patients. We collected whole genome sequences and associated metadata data on 76 N. gonorrhoeae strains from around the globe and searched for known determinants of antibiotics resistance within the strains. The population structure and evolutionary forces within the pathogen population were analyzed. Our results indicated a cosmopolitan gonoccocal population mainly made up of five subgroups. The estimated ratio of recombination to mutation (r/m=2.2) from our data set indicates an appreciable level of recombination occurring in the population. Strains with resistance phenotypes to more recent antibiotics (azithromycin and cefixime) were mostly found in two of the five population subgroups.

scholarly journals Population structure ofNeisseria gonorrhoeaebased on whole genome data and its relationship with antibiotic resistance

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e806 ◽  
Author(s):  
Matthew N. Ezewudo ◽  
Sandeep J. Joseph ◽  
Santiago Castillo-Ramirez ◽  
Deborah Dean ◽  
Carlos del Rio ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Population Structure ◽  
Whole Genome ◽  
Genome Data

scholarly journals Expanding U.S. Laboratory Capacity for Neisseria gonorrhoeae Antimicrobial Susceptibility Testing and Whole-Genome Sequencing through the CDC's Antibiotic Resistance Laboratory Network

2020 ◽  
Vol 58 (4) ◽  
Author(s):  
Ellen N. Kersh ◽  
Cau D. Pham ◽  
John R. Papp ◽  
Robert Myers ◽  
Richard Steece ◽  
...  
Keyword(s):  
Public Health ◽  
Antibiotic Resistance ◽  
Neisseria Gonorrhoeae ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Antimicrobial Susceptibility ◽  
Susceptibility Testing ◽  
Whole Genome ◽  
Content Type ◽  
Laboratory Capacity

ABSTRACT U.S. gonorrhea rates are rising, and antibiotic-resistant Neisseria gonorrhoeae (AR-Ng) is an urgent public health threat. Since implementation of nucleic acid amplification tests for N. gonorrhoeae identification, the capacity for culturing N. gonorrhoeae in the United States has declined, along with the ability to perform culture-based antimicrobial susceptibility testing (AST). Yet AST is critical for detecting and monitoring AR-Ng. In 2016, the CDC established the Antibiotic Resistance Laboratory Network (AR Lab Network) to shore up the national capacity for detecting several resistance threats including N. gonorrhoeae. AR-Ng testing, a subactivity of the CDC’s AR Lab Network, is performed in a tiered network of approximately 35 local laboratories, four regional laboratories (state public health laboratories in Maryland, Tennessee, Texas, and Washington), and the CDC’s national reference laboratory. Local laboratories receive specimens from approximately 60 clinics associated with the Gonococcal Isolate Surveillance Project (GISP), enhanced GISP (eGISP), and the program Strengthening the U.S. Response to Resistant Gonorrhea (SURRG). They isolate and ship up to 20,000 isolates to regional laboratories for culture-based agar dilution AST with seven antibiotics and for whole-genome sequencing of up to 5,000 isolates. The CDC further examines concerning isolates and monitors genetic AR markers. During 2017 and 2018, the network tested 8,214 and 8,628 N. gonorrhoeae isolates, respectively, and the CDC received 531 and 646 concerning isolates and 605 and 3,159 sequences, respectively. In summary, the AR Lab Network supported the laboratory capacity for N. gonorrhoeae AST and associated genetic marker detection, expanding preexisting notification and analysis systems for resistance detection. Continued, robust AST and genomic capacity can help inform national public health monitoring and intervention.

scholarly journals A Culture Collection of 50 Neisseria gonorrhoeae Isolates

2020 ◽  
Vol 9 (40) ◽  
Author(s):  
H. Liu ◽  
E. Vidyaprakash ◽  
M. W. Schmerer ◽  
D. C. Pham ◽  
S. St Cyr ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Neisseria Gonorrhoeae ◽  
Antibiotic Susceptibility ◽  
Culture Collection ◽  
Whole Genome ◽  
Genome Sequences ◽  
Content Type ◽  
Associated Data

ABSTRACT A culture collection of 50 Neisseria gonorrhoeae isolates is available from the CDC & FDA Antibiotic Resistance Isolate Bank. Associated data include antibiotic susceptibility information for azithromycin, cefixime, cefpodoxime, ceftriaxone, tetracycline, ciprofloxacin, penicillin, and spectinomycin and linked whole-genome sequences.

scholarly journals Colistin and Carbapenem-Resistant Acinetobacter baumannii Aci46 in Thailand: Genome Analysis and Antibiotic Resistance Profiling

Antibiotics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1054
Author(s):  
Nalumon Thadtapong ◽  
Soraya Chaturongakul ◽  
Sunhapas Soodvilai ◽  
Padungsri Dubbs
Keyword(s):  
Antibiotic Resistance ◽  
Acinetobacter Baumannii ◽  
Antibiotic Resistance Genes ◽  
Carbapenem Resistance ◽  
Multidrug Resistant ◽  
Diffusion Method ◽  
Whole Genome ◽  
Disk Diffusion Method ◽  
Genome Data ◽  
Carbapenem Resistant

Resistance to the last-line antibiotics against invasive Gram-negative bacterial infection is a rising concern in public health. Multidrug resistant (MDR) Acinetobacter baumannii Aci46 can resist colistin and carbapenems with a minimum inhibitory concentration of 512 µg/mL as determined by microdilution method and shows no zone of inhibition by disk diffusion method. These phenotypic characteristics prompted us to further investigate the genotypic characteristics of Aci46. Next generation sequencing was applied in this study to obtain whole genome data. We determined that Aci46 belongs to Pasture ST2 and is phylogenetically clustered with international clone (IC) II as the predominant strain in Thailand. Interestingly, Aci46 is identical to Oxford ST1962 that previously has never been isolated in Thailand. Two plasmids were identified (pAci46a and pAci46b), neither of which harbors any antibiotic resistance genes but pAci46a carries a conjugational system (type 4 secretion system or T4SS). Comparative genomics with other polymyxin and carbapenem-resistant A. baumannii strains (AC30 and R14) identified shared features such as CzcCBA, encoding a cobalt/zinc/cadmium efflux RND transporter, as well as a drug transporter with a possible role in colistin and/or carbapenem resistance in A. baumannii. Single nucleotide polymorphism (SNP) analyses against MDR ACICU strain showed three novel mutations i.e., Glu229Asp, Pro200Leu, and Ala138Thr, in the polymyxin resistance component, PmrB. Overall, this study focused on Aci46 whole genome data analysis, its correlation with antibiotic resistance phenotypes, and the presence of potential virulence associated factors.

scholarly journals Complex population structure of the Atlantic puffin revealed by whole genome analyses

2020 ◽  
Author(s):  
Oliver Kersten ◽  
Bastiaan Star ◽  
Deborah M. Leigh ◽  
Tycho Anker-Nilssen ◽  
Hallvard Strøm ◽  
...  
Keyword(s):  
Population Structure ◽  
Gene Flow ◽  
Isolation By Distance ◽  
Spatial Scales ◽  
Secondary Contact ◽  
Whole Genome ◽  
Genome Data ◽  
Complex Population ◽  
Genome Analyses ◽  
Atlantic Puffin

AbstractThe factors underlying gene flow and genomic population structure in vagile seabirds are notoriously difficult to understand due to their complex ecology with diverse dispersal barriers and extensive periods at sea. Yet, such understanding is vital for conservation management of seabirds that are globally declining at alarming rates. Here, we elucidate the population structure of the Atlantic puffin (Fratercula arctica) by assembling its reference genome and analyzing genome-wide resequencing data of 72 individuals from 12 colonies. We identify four large, genetically distinct clusters, observe isolation-by-distance between colonies within these clusters, and obtain evidence for a secondary contact zone. These observations disagree with the current taxonomy, and show that a complex set of contemporary biotic factors impede gene flow over different spatial scales. Our results highlight the power of whole genome data to reveal unexpected population structure in vagile marine seabirds and its value for seabird taxonomy, evolution and conservation.

scholarly journals Evaluating the use of ABBA-BABA statistics to locate introgressed loci

2013 ◽  
Author(s):  
Simon H. Martin ◽  
John W. Davey ◽  
Chris D. Jiggins
Keyword(s):  
Population Structure ◽  
Population Size ◽  
Effective Population Size ◽  
Ancestral Population ◽  
Whole Genome ◽  
Effective Population ◽  
Genome Data ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Several methods have been proposed to test for introgression across genomes. One method tests for a genome-wide excess of shared derived alleles between taxa using Patterson?s D statistic, but does not establish which loci show such an excess or whether the excess is due to introgression or ancestral population structure. Several recent studies have extended the use of D by applying the statistic to small genomic regions, rather than genome-wide. Here, we use simulations and whole genome data from Heliconius butterflies to investigate the behavior of D in small genomic regions. We find that D is unreliable in this situation as it gives inflated values when effective population size is low, causing D outliers to cluster in genomic regions of reduced diversity. As an alternative, we propose a related statistic f̂d, a modified version of a statistic originally developed to estimate the genome-wide fraction of admixture. f̂d is not subject to the same biases as D, and is better at identifying introgressed loci. Finally, we show that both D and f̂d outliers tend to cluster in regions of low absolute divergence (dXY), which can confound a recently proposed test for differentiating introgression from shared ancestral variation at individual loci.

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