| Title |
Insulin-like growth factor-1 is associated with life-history variation across Mammalia
|
|---|---|
| Published in |
Proceedings of the Royal Society B: Biological Sciences, May 2014
|
| DOI | 10.1098/rspb.2013.2458 |
| Pubmed ID | |
| Authors |
Eli M. Swanson, Ben Dantzer |
| Abstract |
Despite the diversity of mammalian life histories, persistent patterns of covariation have been identified, such as the 'fast-slow' axis of life-history covariation. Smaller species generally exhibit 'faster' life histories, developing and reproducing rapidly, but dying young. Hormonal mechanisms with pleiotropic effects may mediate such broad patterns of life-history variation. Insulin-like growth factor 1 (IGF-1) is one such mechanism because heightened IGF-1 activity is related to traits associated with faster life histories, such as increased growth and reproduction, but decreased lifespan. Using comparative methods, we show that among 41 mammalian species, increased plasma IGF-1 concentrations are associated with fast life histories and altricial reproductive patterns. Interspecific path analyses show that the effects of IGF-1 on these broad patterns of life-history variation are through its direct effects on some individual life-history traits (adult body size, growth rate, basal metabolic rate) and through its indirect effects on the remaining life-history traits. Our results suggest that the role of IGF-1 as a mechanism mediating life-history variation is conserved over the evolutionary time period defining mammalian diversification, that hormone-trait linkages can evolve as a unit, and that suites of life-history traits could be adjusted in response to selection through changes in plasma IGF-1. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 1% |
| United Kingdom | 1 | 1% |
| Romania | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 82 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 16 | 18% |
| Student > Master | 14 | 16% |
| Student > Bachelor | 10 | 11% |
| Professor > Associate Professor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 59% |
| Environmental Science | 10 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Neuroscience | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 16 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 153. 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 02 November 2020.
All research outputs
#268,962
of 25,497,142 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#662
of 11,379 outputs
Outputs of similar age
#2,147
of 242,114 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#12
of 134 outputs
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