Single-host pathogen effects on mortality and behavioral responses to predators in salamanders (Urodela: Ambystomatidae)

2004 ◽  
Vol 82 (9) ◽  
pp. 1477-1483 ◽  
Author(s):  
Matthew J Parris ◽  
Alison Davis ◽  
James P Collins

Pathogens can alter host behavior and affect the outcome of predator-prey interactions. Acute phase responses of hosts (e.g., a change in activity level or behavioral fever) often signal an infection, but the ecological consequences of host behavioral changes largely are unexplored, particularly for directly transmitted (i.e., single-host) pathogens. We performed three experiments to test the hypothesis that a pathogen, Ambystoma tigrinum virus (ATV), alters host behavior of Sonoran tiger salamanders (Ambystoma tigrinum stebbinsi Lowe, 1954) and enhances predation. In the first experiment, salamander larvae exposed to ATV experienced 48% lower mortality from dragonfly Anax junius (Drury, 1773) larvae than those in controls. Second, uninfected and infected larvae exposed to the nonlethal (caged) presence of predators did not significantly differ in their distance from the predator. Infected salamanders significantly increased their activity level relative to those in controls in predator-free conditions. Finally, ATV-infected larvae preferred significantly warmer temperatures than uninfected larvae, but larvae reared at the thermal maximum for the virus all died. High host activity level yet retention of effective antipredator responses likely benefits ATV because this single-host pathogen relies on host survival for transmission. Preference for warmer temperatures may be associated with the host response to pathogens and may help fight infection.

Genome ◽  
2013 ◽  
Vol 56 (7) ◽  
pp. 407-414 ◽  
Author(s):  
Jacqueline M. Doyle ◽  
Gregor Siegmund ◽  
Joseph D. Ruhl ◽  
Soo Hyung Eo ◽  
Matthew C. Hale ◽  
...  

Historically, many population genetics studies have utilized microsatellite markers sampled at random from the genome and presumed to be selectively neutral. Recent studies, however, have shown that microsatellites can occur in transcribed regions, where they are more likely to be under selection. In this study, we mined microsatellites from transcriptomes generated by 454-pyrosequencing for three vertebrate species: lake sturgeon (Acipenser fulvescens), tiger salamander (Ambystoma tigrinum), and kangaroo rat (Dipodomys spectabilis). We evaluated (i) the occurrence of microsatellites across species; (ii) whether particular gene ontology terms were over-represented in genes that contained microsatellites; (iii) whether repeat motifs were located in untranslated regions or coding sequences of genes; and (iv) in silico polymorphism. Microsatellites were less common in tiger salamanders than in either lake sturgeon or kangaroo rats. Across libraries, trinucleotides were found more frequently than any other motif type, presumably because they do not cause frameshift mutations. By evaluating variation across reads assembled to a given contig, we were able to identify repeat motifs likely to be polymorphic. Our study represents one of the first comparative data sets on the distribution of vertebrate microsatellites within expressed genes. Our results reinforce the idea that microsatellites do not always occur in noncoding DNA, but commonly occur in expressed genes.


Copeia ◽  
2003 ◽  
Vol 2003 (3) ◽  
pp. 601-607 ◽  
Author(s):  
Elizabeth W. Davidson ◽  
Matthew Parris ◽  
James P. Collins ◽  
Joyce E. Longcore ◽  
Allan P. Pessier ◽  
...  

1999 ◽  
Vol 141 (1) ◽  
pp. 124-139 ◽  
Author(s):  
KJERSTEN L. LARSON ◽  
WALTER DUFFY ◽  
ERIN JOHNSON ◽  
MICHELE F. DONOVAN ◽  
MICHAEL J. LANNOO

2018 ◽  
Vol 2 (3) ◽  
pp. 111-116 ◽  
Author(s):  
Man S. Kim ◽  
Huan Zhang ◽  
Won Bo Shim

Recent advances in sequencing technology and big data analytics are moving plant pathology into a new era where we are now pursuing a deeper systems-level understanding of host–pathogen associations. For past several decades, scientists have predominantly tried to delineate and streamline these interactions into single pathogen–single host model systems, using reductionist experimental approaches. As many of us are aware, there have been several significant proposed ideas and models to help simplify and conceptualize the complex nature of associations that occur between plants and pathogens. However, equipped with vastly improved technology we now have opportunities to further explore multicomponent host–pathogen associations as well as microbe–microbe associations in phytobiomes and agroecosystems. Here, we would like to share our perspective on how game theory concepts could be adopted to study the dynamics of complex phytobiomes and to help us gain fresh and transformative insight. [Formula: see text] Copyright © 2018 The Author(s). This is an open-access article distributed under the CC BY-NC-ND 4.0 International license .


2020 ◽  
Vol 196 (6) ◽  
pp. E144-E159
Author(s):  
Michael H. Cortez ◽  
Meghan A. Duffy

2002 ◽  
Vol 3 (1) ◽  
pp. 79-81 ◽  
Author(s):  
S. G. Mech ◽  
A. Storfer ◽  
J. A. Ernst ◽  
M. W. Reudink ◽  
S. C. Maloney

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