Physa Acuta Transgenerational Plasticity
Exploring Morphology and Anti-Predator Behavioral Responses
@kaggle.thedevastator_physa_acuta_transgenerational_plasticity
Exploring Morphology and Anti-Predator Behavioral Responses
@kaggle.thedevastator_physa_acuta_transgenerational_plasticity
By [source]
This dataset provides key insights into the effects of transgenerational plasticity on phenotypic traits of Physa acuta, a freshwater snail. Our observations and comparisons between and across generations revealed significant individual variation in how morphological traits expressed in the F2 snails exposed to predator cues. Exposure of the mothers to predators resulted in larger shells, greater crush resistance and anti-predator behavior within-generation plasticity such that F2 offspring reared with predator cues responded less to predation than those reared in control conditions. This data set is important for furthering our understanding of species interactions with their environment and is valuable for identifying potential evolutionary processes like natural selection and genetic drift. Additionally, this data set can be used along with other Physa acuta behavioral datasets or post-genomic resources to learn more about the implications of transgenerational plasticity on eco-evolutionary dynamics
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This dataset provides valuable insight into the evolutionary processes of natural selection and genetic drift, as well as the impact of transgenerational plasticity on phenotypic traits of Physa acuta, a freshwater snail. In this guide, we will provide an overview on how to use this dataset in order to gain a greater understanding of how species interact with their environment.
- Start by downloading the appropriate CSV file and loading it into your statistical software program.
- Looking at the columns included in this dataset, you will notice that some data points include labels such as “gen” and “line” related to information about the snail generation and lineage numbers respectively Other column headers detail characteristics such as “crush weight” or “response to predator cues (rw#) which measure variation in response between and within generations based on factors such as predator treatment or popualtion surrounding the snails habitat.
- After familiarizing yourself with these variables, you may wish to determine any correlations exist between different morphological or behavioral traits over time - for example a correlation between rw1 (predator response 1) and Dvgen (difference in generation). To do so you can use linear regression techniques for studying trends over generations depending upon how many generations are still available for study.
- You may also want explore whether any differences exist between adults exposed to predators an those not exposed when looking at anti-predator behavior – e..g comparing Antipredator 1 behaviors under various conditions (such control vs treatment). For this purpose Methods like Boxplotscan be used since they allow us define variation by providing information about outliers averages, etc which would give clear comparison of different types of behaviors across treatments ). Once again results can be compared historically alling one draw upon additional evidence concerning possible relationships ther conditions have hadon behavior characteristics concering our individuals over multiple generations
5 We hope that after reading through our guide you have enough knowledge now understanding better what specific predictions can be made , within limitations , using this datasetregarding eco-evolutionary dynamicsin relation with behavior/morphology parameters of Physa Acuta snails studied here
- To explore gene-environment interactions in species by comparing the expression of anti-predator traits between mothers exposed to predator cues and those with no exposure.
- To analyze the difference in phenotype across generations and its effect on behavior, as well as to look for a correlation between morphological traits and anti-predator behaviors within a generation.
- To identify how factor such as line, treatment parent or location can affect transgenerational plasticity in species like Physa acuta snails by looking at changes in population, crush weight and centroid among generations
If you use this dataset in your research, please credit the original authors.
Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: morphoanalysisF2DVs.csv
| Column name | Description |
|---|---|
| gen | Generation of the snail (Categorical) |
| line | Line of the snail (Categorical) |
| ttreatment | Treatment of the snail (Categorical) |
| ptreatment | Treatment of the snail's parent (Categorical) |
| numberincup | Number of snails in the cup (Numerical) |
| **crush.weight.g ** | Weight of the crushed snail (Numerical) |
| Dvpop | Difference in shell size between generations (Numerical) |
| Dvcrush | Difference in crush resistance between generations (Numerical) |
| Dvgen | Difference in shell size between generations (Numerical) |
| Dvline | Difference in shell size between lines (Numerical) |
| Dvpred | Difference in shell size between predator treatments (Numerical) |
| Dvcent | Difference in shell size between control treatments (Numerical) |
| Dvpptreat | Difference in shell size between parent treatments (Numerical) |
| rw1 | Response to predator cue 1 (Numerical) |
| rw2 | Response to predator cue 2 (Numerical) |
| rw3 | Response to predator cue 3 (Numerical) |
| rw4 | Response to predator cue 4 (Numerical) |
| rw5 | Response to predator cue 5 (Numerical) |
| rw6 | Response to predator cue 6 (Numerical) |
File: F2_Behavior_WMorphology.csv
| Column name | Description |
|---|---|
| numberincup | Number of snails in the cup (Numerical) |
| rw1 | Response to predator cue 1 (Numerical) |
| rw2 | Response to predator cue 2 (Numerical) |
| rw3 | Response to predator cue 3 (Numerical) |
| rw4 | Response to predator cue 4 (Numerical) |
| rw5 | Response to predator cue 5 (Numerical) |
| rw6 | Response to predator cue 6 (Numerical) |
| Dvpop | Difference in shell size between generations (Numerical) |
| Dvgen | Difference in shell size between generations (Numerical) |
| Dvline | Difference in shell size between lines (Numerical) |
| Dvpred | Difference in shell size between predator treatments (Numerical) |
| Dvcent | Difference in shell size between control treatments (Numerical) |
| Dvpptreat | Difference in shell size between parent treatments (Numerical) |
| Line | The line of the snail (Categorical) |
| Treatment.parent | The treatment of the parent (Categorical) |
| Condition | The condition of the offspring (Categorical) |
| check.number | The check number of the snail (Numerical) |
| batch | The batch of the snail (Categorical) |
| location | The location of the snail (Categorical) |
| Antipredator.1 | The anti-predator behavior of the snail (Numerical) |
| Location.change | The change in location of the snail (Categorical) |
| rw7 | Response to predator cue 7 (Numerical) |
| rw8 | Response to predator cue 8 (Numerical) |
| rw9 | Response to predator cue 9 (Numerical) |
| rw10 | Response to predator cue 10 (Numerical) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .
CREATE TABLE f2_behavior_wmorphology (
"snail_id" VARCHAR,
"line" BIGINT,
"treatment_parent" VARCHAR,
"treatment" VARCHAR,
"condition" VARCHAR,
"check_number" BIGINT,
"batch" BIGINT,
"location" VARCHAR,
"antipredator_1" BIGINT,
"location_change" DOUBLE,
"numberincup" BIGINT,
"centroid" DOUBLE,
"rw1" DOUBLE,
"rw2" DOUBLE,
"rw3" DOUBLE,
"rw4" DOUBLE,
"rw5" DOUBLE,
"rw6" DOUBLE,
"rw7" DOUBLE,
"rw8" DOUBLE,
"rw9" DOUBLE,
"rw10" DOUBLE,
"dvpop" DOUBLE,
"centroid_1" DOUBLE,
"dvgen" DOUBLE,
"dvline" DOUBLE,
"dvpred" DOUBLE,
"dvcent" DOUBLE,
"dvpptreat" DOUBLE
);CREATE TABLE morphoanalysisf2dvs (
"tpsdigid" BIGINT,
"id" VARCHAR,
"gen" BIGINT,
"line" BIGINT,
"ttreatment" VARCHAR,
"treatment" VARCHAR,
"ptreatment" VARCHAR,
"numberincup" BIGINT,
"centroid" DOUBLE,
"crush_weight_g" DOUBLE,
"dvpop" DOUBLE,
"dvcrush" DOUBLE,
"dvgen" DOUBLE,
"dvline" DOUBLE,
"dvpred" DOUBLE,
"dvcent" DOUBLE,
"dvpptreat" DOUBLE,
"rw1" DOUBLE,
"rw2" DOUBLE,
"rw3" DOUBLE,
"rw4" DOUBLE,
"rw5" DOUBLE,
"rw6" DOUBLE,
"rw7" DOUBLE,
"rw8" DOUBLE,
"rw9" DOUBLE,
"rw10" DOUBLE,
"rw11" DOUBLE,
"rw12" DOUBLE,
"rw13" DOUBLE,
"rw14" DOUBLE,
"rw15" DOUBLE,
"rw16" DOUBLE,
"rw17" DOUBLE,
"rw18" DOUBLE,
"rw19" DOUBLE,
"rw20" DOUBLE,
"rw21" DOUBLE,
"rw22" DOUBLE,
"rw23" DOUBLE,
"rw24" DOUBLE,
"rw25" DOUBLE,
"rw26" DOUBLE,
"rw27" DOUBLE,
"rw28" DOUBLE,
"rw29" DOUBLE,
"rw30" DOUBLE,
"rw31" DOUBLE,
"rw32" DOUBLE,
"rw33" DOUBLE,
"rw34" DOUBLE,
"rw35" DOUBLE,
"rw36" DOUBLE,
"rw37" DOUBLE,
"rw38" DOUBLE,
"rw39" DOUBLE,
"rw40" DOUBLE,
"rw41" DOUBLE,
"rw42" DOUBLE,
"rw43" DOUBLE,
"rw44" DOUBLE,
"rw45" DOUBLE,
"rw46" DOUBLE,
"rw47" DOUBLE,
"rw48" DOUBLE,
"rw49" DOUBLE,
"rw50" DOUBLE,
"rw51" DOUBLE,
"rw52" DOUBLE
);Anyone who has the link will be able to view this.