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Ecological Genomics

Overview of attention for book
Cover of 'Ecological Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Recent advances in ecological genomics: from phenotypic plasticity to convergent and adaptive evolution and speciation.
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    Chapter 2 Trait Transitions in Explicit Ecological and Genomic Contexts: Plant Mating Systems as Case Studies
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    Chapter 3 Revisiting Mortimer's Genome Renewal Hypothesis: Heterozygosity, Homothallism, and the Potential for Adaptation in Yeast.
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    Chapter 4 Ecological Genomics of Adaptation and Speciation in Fungi
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    Chapter 5 Integrating Phenotypic Plasticity Within an Ecological Genomics Framework: Recent Insights from the Genomics, Evolution, Ecology, and Fitness of Plasticity
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    Chapter 6 Eco-Evo-Devo: The Time Has Come
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    Chapter 7 Evolutionary and Ecological Genomics of Developmental Plasticity: Novel Approaches and First Insights From the Study of Horned Beetles
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    Chapter 8 Neurogenomics of Behavioral Plasticity
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    Chapter 9 Ecological Genomics of Host Behavior Manipulation by Parasites
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    Chapter 10 Ecological Epigenetics
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    Chapter 11 The Reproducibility of Adaptation in the Light of Experimental Evolution with Whole Genome Sequencing
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    Chapter 12 Ecological Genomics of Host Shifts in Drosophila mojavensis.
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    Chapter 13 The Genomics of an Adaptive Radiation: Insights Across the Heliconius Speciation Continuum
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    Chapter 14 Merging Ecology and Genomics to Dissect Diversity in Wild Tomatoes and Their Relatives
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    Chapter 15 Integrated Genomics Approaches in Evolutionary and Ecological Endocrinology
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    Chapter 16 Evolutionary Genomics of Environmental Pollution
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    Chapter 17 Signatures of Natural Selection and Ecological Differentiation in Microbial Genomes
Attention for Chapter 8: Neurogenomics of Behavioral Plasticity
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 blog
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Citations

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Chapter title
Neurogenomics of Behavioral Plasticity
Chapter number 8
Book title
Ecological Genomics
Published in
Advances in experimental medicine and biology, October 2013
DOI 10.1007/978-94-007-7347-9_8
Pubmed ID
Book ISBNs
978-9-40-077346-2, 978-9-40-077347-9
Authors

Rayna M. Harris, Hans A. Hofmann

Editors

Christian R. Landry, Nadia Aubin-Horth

Abstract

Across animals, there is remarkable diversity in behavior. Modern genomic approaches have made it possible to identify the molecular underpinnings of varied behavioral phenotypes. By examining species with plastic phenotypes we have begun to understand the dynamic and flexible nature of neural transcriptomes and identified gene modules associated with variation in social and reproductive behaviors in diverse species. Importantly, it is becoming increasingly clear that some candidate genes and gene networks are involved in complex social behaviors across even divergent species, yet few comparative transcriptomics studies have been conducted that examine a specific behavior across species. We discuss the implications of a range of important and insightful studies that have increased our understanding of the neurogenomics of behavioral plasticity. Despite its successes, behavioral genomics has been criticized for its lack of hypotheses and causative insights. We propose here a novel avenue to overcome some of these short-comings by complementing "forward genomics" studies (i.e., from phenotype to behaviorally relevant gene modules) with a "reverse genomics" approach (i.e., manipulating novel gene modules to examine effects on behavior, hormones, and the genome itself) to examine the functional causes and consequences of differential gene expression patterns. We discuss how several established approaches (such as pharmacological manipulations of a novel candidate pathway, fine scale mapping of novel candidate gene expression in the brain, or identifying direct targets of a novel transcription factor of interest) can be used in combination with the analysis of the accompanying neurogenomic responses to reveal unexpected biological processes. The integration of forward and reverse genomics will move the field beyond statistical associations and yield great insights into the neural and molecular control of social behavior and its evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Doctoral Student 3 13%
Researcher 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 48%
Biochemistry, Genetics and Molecular Biology 3 13%
Neuroscience 3 13%
Psychology 1 4%
Environmental Science 1 4%
Other 0 0%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2017.
All research outputs
#3,178,166
of 22,766,595 outputs
Outputs from Advances in experimental medicine and biology
#541
of 4,928 outputs
Outputs of similar age
#30,873
of 211,768 outputs
Outputs of similar age from Advances in experimental medicine and biology
#3
of 36 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 211,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.