Flash talks by poster presenters
Tuesday August 15th 2023
Irvine, California, USA
Social Movements as Evolved Responses to Mortality Threats Caused by Disease
Gabriel W. Evers
In the Light of Evolution: Evaluating the Effects of Evolutionary Adaptations in Two-Component Response Systems (Escherichia coli K12 MG1655)
Brittany Sanders, Joseph L. Graves Jr, and Misty Thomas, Department of Biology, North Carolina A &T State University, Greensboro, NC.
PH
Heavy Metals
Antibiotics
Environmental
Stimuli
Nutrients
Stress Response Mechanisms
Acclimation
Adaptation
changes in genetic expression
simple mutations
1. Research Goal: To better understand how naturally acquired adaptive mutations occur in two-component response systems.
2. Research Aim: To identify changes in global cellular physiology affected by nonsynonymous mutations in CusS.
RNA Seq analysis will be used to evaluate differential gene expression (Trait vs Environment), global cross-talk between TCRS, and novel pathways.
CusS - CusR TCRS
Randell et al., 2015
ISEMPH 2023
Temperature
RNA SEQ Data (Key Findings)
A putatively adaptive missense variant in ICAM1 is associated with systolic blood pressure in Andean highlanders
Grossman et al. 2010
Akbari et al. 2018
Rentzsch et al. 2018
Adzhubei et al. 2013
Law et al. 2005
Conn et al. 2016
Cerro de Pasco, Peru (4,340m)
40 whole-genome sequences (20 female)
Positive selection scan (Composite of Multiple Signals Test)
ICAM1 gene
Identification of a favored mutation within a positive selection locus (iSAFE)
ICAM1 SNP
Rs1799969
(G ➡ A missense mutation)
255 targeted SNP genotypes in Andean highlanders
Association with systolic blood pressure
James J. Yu, PhD Candidate, Simonson Lab, UC San Diego ISEMPH 2023
Lower systolic blood pressure:
Effect size of 0 vs 1 copy of A
Females: 13.5 mm Hg
Males: 7.1 mm Hg
Medication = ~3-10 mm Hg
67.5% have A allele in Andean highlanders
25.1 CADD score (top 0.1-1%)
Annie V. Rorick & Molly M. Rorick
Ex: Directed evolution for protein engineering
Ex: Evolutionary genetics
Connecting children to research: Evolutionary biology lessons drawing from research are appropriate for any age group.
LlAdhA asymmetric unit dimer (Liu et al, 2012):
Puzzle of directed evolution to increase affinity for non-native substrates:
For more info: evolive.org & mollyrorick.com
A NOVEL SYSTEMS BIOLOGY & BIOINFORMATICS APPROACH FOR IDENTIFYING EVOLUTIONARY TRADE-OFFS
(ATHEROGENESIS & ATHEROSCLEROSIS)
AUTHORS
Kaitlyn Smolens,
B. Natterson-Horowitz, M.D.
Our example pathophysiology
Atherosclerosis - the leading cause of death in our species
Evolutionary Trade-offs
Balancing vulnerability to pathophysiology (disease) against the multiple underlying biological benefits contained within the phenotype of vulnerability.
Methodology Objective
Implications
Our methodology can
Summary of Atherosclerosis Methodology:
TOLL-LIKE RECEPTOR SIGNALING PATHWAY
SUPERIMPOSED ONTO THE
ATHEROSCLEROSIS PATHWAY
LEGEND
Yellow Box: Pathophysiology
Blue Box: Physiology
Turquoise Circles: Overlapping Genes
Turquoise Arrows: Convergent Pathways
TOLL-LIKE RECEPTOR SIGNALING PATHWAY
(UCLA) University of California, Los Angeles
Siblings in Hormonal Synchrony
Anna Samsonov,1 Heather Habecker,2 Robert S Walker,3 Mark V Flinn 1
1Dept. of Anthropology, Baylor University; 2Dept. of Psychology and Neuroscience, Baylor University; 3Dept. of Anthropology, University of Missouri
salivary cortisol
samples
from 1989-1998
(traditional culture,
no major hurricanes)
- naturalistic environment
- 424 participants
- 14,238 samples
- 110,728 dyads w/in
15 minutes of collection
synchrony (similarity of cortisol measures over multiple samples during the day)
→ IMPORTANCE OF FAMILY ENVIRONMENT & KINSHIP IN UNDERSTANDING STRESS RESPONSES & EVOLUTION OF HPA AXIS
�Evaluation patterns of evolutionary mismatch across human disease��Laurel Moyse1, Laura Perez2, George Perry1,2,3�1Department of Biology, 2Department of Anthropology, 3Huck Institutes of the Life Science, Penn State University�
Download all associations from human GWAS catalog
Match disease risk-increasing alleles to two evolutionary selection statistics
SDS (singleton density score) :
past ~3000 years
iHS (integrated haplotype score) : past ~25000 years
Select disease risk-increasing alleles for three population groups
Sort traits into 19 broad disease categories and individual diseases
Identify cases where diseases risk-increasing alleles show signals of possible positive selection – indicates potential evolutionary mismatch
ISEMPH 2023
Antibiotic Stewardship, Vaccines, Virulence and Antibiotic Resistance
�Michelle Blyth MD, Julio Figueroa MD�Department of Internal Medicine, Section of Infectious Diseases, LSU Health Sciences Center, New Orleans, LA
11010062
Decreasing rates of invasive pneumococcal disease (not shown), and penicillin resistance trended down over the 9 year study period (approximately a 20% decrease in average MIC). This was not seen in levofloxacin resistance.
Differences between penicillin resistance in blood cultures and other sites were noted, but not seen with levofloxacin resistance.
The difference in penicillin resistance hints at a relationship between resistance and virulence.
tnp TnAs1
tet(A)
tnp TnAs1
tnp IS26
tnp Tn2
tnp ISEcp1
blaCTX-M-15
tnp Tn2
tnp IS26
aph(3’)-Ia
tnp IS26
mph(A)
tnp IS6100
sul1
aadA2
dfrA12
intl1
tnp IS26
tnp IS5075
sul2
aph(6)-Id
tnp ISKpn19
qnrS1
tnp IS26
aph(3”)-I
Klebsiella pneumoniae Carries a Novel Multidrug Resistance Region that Evolved from the Mobilization of Transposons
Dana Mejia, Dr. Andrey Tatarenkov, Dr. Marlene de la Cruz, Dr. Luis Mota-Bravo,
School of Biological Sciences, University of California–Irvine, Irvine, CA 92697
Minority Science Programs
School of Biological Sciences
University of California–Irvine
1136 Biological Sciences III�Irvine, CA 92697-2527
�
The Structure and Formation of Composite Transposons and Multidrug Resistance Regions
INTRODUCTION
MATERIALS AND METHODS
HYPOTHESIS & OBJECTIVES
RESULTS
Hypothesis
Environmental Klebsiella harbor antibiotic resistance genes associated with composite transposons that have been dispersed to other plasmids.
Objectives
Commensal and Clinical Relevance of Klebsiella pneumoniae
Sample taken from Central Park, New York
MALDI-TOF mass spectrometry used to identify Klebsiella pneumoniae
Disk Diffusion Tests using CLSI standards
Illumina and Oxford Nanopore for DNA sequencing, Unicycler and Geneious for plasmid assembly
Qiagen Midiprep used for Plasmid extraction
Gel Electrophoresis conducted to identify plasmid
PATRIC and Geneious Prime software used for plasmid annotation
NCBI Blast, ISFinder, and Center for Epidemiology (CGE) for plasmid analysis
1
2
3
4
5
6
7
8
RESULTS
SW7932_p209 Novel Multidrug Resistance Region
IncFIB(K)
Klebsiella pneumoniae
Antibiotic Resistance
Open Reading Frames Annotation Colors:
Hypothetical
Mobile Genetic Element
*5 were unidentified
*82 were unidentified
28
1
Count
Dissemination of Clinically Relevant Beta-lactam Resistance Gene Through Horizontal Gene Transfer of IS26 Composite Transposon
Countries
Bacterial Species
Incompatibility Types
Sources
CONCLUSIONS
Overall:
Our research provides insight in developing strategies to prevent further expansion of antibiotic resistance between pathogenic bacteria and reduce its serious toll on human health.
Future Work
Conduct similar analysis on other IS26 composite transposon subregions from our multidrug resistance region and try to establish evolutionary sequence of events that created it.
[1] Ashurst JV, Dawson A. 2021. Klebsiella Pneumonia. In: StatPearls. StatPearls Publishing, Treasure Island (FL);.
[1]
[1]
1. Insertion sequences (IS) consist of inverted repeated and a transposase gene. Direct repeats signal recent insertion.
2. Composite transposons consist of two IS, between them are antibiotic resistance genes (ARGs).
3. IS and composite transposons can move to different molecules.
4. The movement of composite transposons can create multidrug resistant regions
Zoey Marsh, B. Natterson Horowitz MD
Implications of anticipated warming temperatures on three West Nile virus mosquito vectors in North America
Johnny Uelmen
Assistant Director of the Triangle Center for Evolutionary Medicine, Duke University
Calculate temperature suitability ranges by applying species-specific thermal optima to anticipated climate warming under the “worst case” emissions scenario (SSP585):
2020
2050
2080
Main Implications From Study: