Sex-specific effects of antagonistic coevolution: Insights from an insect host and a bacterial pathogen coevolution system
Data files
Mar 24, 2025 version files 284.55 KB
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data_file_Evolutionary_Ecology.xlsx
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README.md
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Abstract
Experimental host-pathogen coevolution provides an opportunity to understand the long-term consequences of adaptive interactions between hosts and pathogens. Studies using prokaryotic and eukaryotic hosts and their pathogens have explored the changing dynamics of antagonistic interactions with time, evolution of generalists or specialists, and potential costs associated with coevolution. However, the dependence of host-pathogen coevolutionary responses on sex of the host remains unexplored.
To address this, we chose a host species which allow us to compare coevolved traits between male and female hosts with their native pathogens. Towards this end, we conducted a laboratory experiment where we coevolved insect host Drosophila melanogaster with its bacterial pathogen Pseudomonas entomophila. Apart from the host-pathogen coevolution regimen, the experimental design included three other selection regimes - host adaptation to a non-evolving ancestral pathogen, and two control regimes. To study coevolved traits in hosts in pathogens across time and sex, we measured host survivorship post infection against pathogens from three evolutionary time points – ancestor, pathogen from the past, and present coevolution cycle. Our results showed that the coevolved hosts exhibited higher survivorship when exposed to pathogens, relative to the hosts adapted to non-evolved pathogen and control hosts. These results are true against pathogenic exposure from all three time points. Coevolved pathogens from the present time exhibited the highest virulence, which was variable across the replicate pathogen populations. We also observed that despite comparable mortality, the two sexes differ in the onset of mortality in the control regimes, a response not observed in the coevolved hosts.
Taken together, our results showed that pathogens and hosts had the greatest success against each other as they coevolved together, but the susceptibility of naïve hosts was sex-specific. These results provide important insights into the process of host-pathogen coevolution.
This file (“data file_Evolutionary Ecology.xlsx”) was generated in 2019 by Neetika Ahlawat.
GENERAL INFORMATION
- Title of Dataset: “Sex-specific effects of antagonistic coevolution: Insights from an insect host and a bacterial pathogen coevolution system”
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Author Information
A. Principal Investigator Contact Information
Name: Prof. N. G. Prasad
Institution: Indian Institute of Science Education and Research, Mohali
Address: IISER Mohali, Sector 81, Knowledge City, SAS Nagar, Punjab - 140306, India.
Email: prasad@iisermohali.ac.inB. Associate or Co-investigator Contact Information
Name: Neetika Ahlawat
Institution: Indian Institute of Science Education and Research, Mohali
Address: IISER Mohali, Sector 81, Knowledge City, SAS Nagar, Punjab - 140306, India.
Email: neetika.ahlawat@gmail.com - Duration of data collection: 2019
- Geographic location of data collection: Mohali, Punjab, India
- Information about funding sources that supported the collection of the data: IISER Mohali, Govt. of India.
DATA & FILE OVERVIEW
File List:”data file_Evolutionary Ecology.xlsx”
Note: This file contains three separate data sheets created from the host survivorship assay conducted against pathogens from three different evolutionary time points. The file contains:
Sheet 1. “survivorship across 96h” (Data for Assay 1: Host survivorship post infection against sympatric and allopatric pathogens)
Sheet 2. “prop host mortality at 96h” (Data for Assay 1: Proportion survivorship of host post infection against symaptric and allopatric pathogens)
Sheet 3. “prop mortality at 24h and 48h” (Data for Assay 2: Female fecundity post infection against sympatric and allopatric pathogens)
DATA-SPECIFIC INFORMATION FOR “data file_Evolutionary Ecology.xlsx”
This file has three separate tabs. Below, we provide details separately for each tab.
Sheet 1. survivorship across 96h
- Number of variables: 6
- Number of cases/rows: 9607
- Variable List:
Time (Time in “Hours”; time recorded after small interval (post infection) to observe death of individuals till the last observation, i.e. 96 hours)
Population (4 host populations; “Coev”, “Adapt”, “Co.S”, “Co.U”)
Bacteria (3 pathogens from three evolutionary time points: “Anc Pe”, “G10Pe”, “G20Pe” and an infection control treatment “Sham”)
Block (4 independent replicate populations of each selection regime. “1”, “2”, “3”, “4” represent that populations with the same numeric value share ancestory)
Sex (Survivorship of “M” (Males) and “F” (Females) from each of the four sets of hosts)
Censor (status of the fly at the end of 96 hours observation window after infection; “0” represents dead and “1” represents that the individual was alive till 96 hours post infection)
Sheet 2. prop host mortality at 96h
- Number of variables: 7
- Number of cases/rows: 97
- Variable List:
Population (4 host populations; “Coev”, “Adapt”, “Co.S”, “Co.U”)
Bacteria (3 pathogens from three evolutionary time points: “Anc Pe”, “G10Pe”, “G20Pe”)
Block (4 independent replicate populations of each selection regime. “1”, “2”, “3”, “4” represent that populations with the same numeric value share ancestory)
Sex (Survivorship of “M” (Males) and “F” (Females) from each of the four Coev populations)
No. of surviving individuals (Total number of males and females that were alive at 96th hour after infection)
Total no. of individuals (Total number of male and female hosts randomly chosen from each population for three infection treatments)
Prop Surv (Proportion of male and female hosts that were alive at 96th hour post infection out of the total number of flies at the start of the experiment)
Sheet 3. prop mortality at 24h and 48h
- Number of variables: 10
- Number of cases/rows: 97
- Variable List:
Population (4 host populations; “Coev”, “Adapt”, “Co.S”, “Co.U”)
Bacteria (3 pathogens from three evolutionary time points: “Anc Pe”, “G10Pe”, “G20Pe”)
Block (4 independent replicate populations of each selection regime. “1”, “2”, “3”, “4” represent that populations with the same numeric value share ancestory)
Sex (Survivorship of “M” (Males) and “F” (Females) from each of the four Coev populations)
0-48hrs (Total number of mortality in 48 hours post infection; number of individuals died in 48hrs post infection)
0-24hrs (Total number of mortality in 24 hours post infection; number of individuals died within 24hrs post infection)
24-48hrs (Total number of mortality occurred between 24 to 48 hours post infection; total number of individuals died between 24 to 48hrs post infection)
total individuals (Total number of male and female hosts randomly chosen from each population for three infection treatments)
prop mort_24h (Proportion of male and female individuals died within 24 hours post infection, out of the total number of flies at the start of the experiment)
prop mort_48h (Proportion of male and female individuals died between 24 to 48h post infection out of the total number of flies at the start of the experiment)
The aim of this study is to assess host survivorship against pathogens from three evolutionary time points, and to understand how male and female hosts’ adaptation changes with time.
We used experimental evolution apporach to coevolve Drosophila melanogaster host with its native bacterial pathogen Pseudomonas entomophila, for ~ 20 coevolutionary cycles. There were three additional regimes, one-sided host adaptation against a non-evolving pathogen, an infection control regime and an unhandled control regime. Each four regimes were replicated as four independent blocks.
To quantify host survivorship against ancestral pathogen or coevolved pathogens from the past i.e. 10th coevolution cycle (G10Pe), or present i.e. 20th coevolution cycle (G20Pe), we compared survivorship (post infection) of flies from all 4 selection regimes and across all blocks.
For the experimental set-up, on the 12th day post egg collection, when we had roughly 2-3 days old adult flies, 75 males and 75 females (15 males and 15 females from each vial) from each population were randomly picked and divided into three infection groups (and one control) as per the experimental treatments. Flies from each population were administered pathogen infections following systemic infection, with either (a) ancestral Pe, (b) coevolved pathogen from the past (G10Pe) or, (c) coevolved pathogen from the present (G20Pe), (d) sham treatment using sterile 10mM MgSO4 buffer solution. Fly mortality was monitored separately for males and females till 96 hours post infection. Mortality readings were taken after every 4 hours till 48 hours, after which, readings were taken after every 6-7 hours till 96 hours.
The data was censored and was arranged accroding to mortality recorded at different time points. Dead individuals were marked as '0', and individuals that were alive till 96 hours post infection, were marked as '1'. This data was analysed using statistical tests such as cox proportional hazard test, binomial mixed effect model, Tukey's HSD non parameteric test.