| Title |
Transgressive Hybrids as Hopeful Monsters
|
|---|---|
| Published in |
Evolutionary Biology, November 2012
|
| DOI | 10.1007/s11692-012-9209-0 |
| Pubmed ID | |
| Authors |
Dylan R. Dittrich-Reed, Benjamin M. Fitzpatrick |
| Abstract |
The origin of novelty is a critical subject for evolutionary biologists. Early geneticists speculated about the sudden appearance of new species via special macromutations, epitomized by Goldschmidt's infamous "hopeful monster". Although these ideas were easily dismissed by the insights of the Modern Synthesis, a lingering fascination with the possibility of sudden, dramatic change has persisted. Recent work on hybridization and gene exchange suggests an underappreciated mechanism for the sudden appearance of evolutionary novelty that is entirely consistent with the principles of modern population genetics. Genetic recombination in hybrids can produce transgressive phenotypes, "monstrous" phenotypes beyond the range of parental populations. Transgressive phenotypes can be products of epistatic interactions or additive effects of multiple recombined loci. We compare several epistatic and additive models of transgressive segregation in hybrids and find that they are special cases of a general, classic quantitative genetic model. The Dobzhansky-Muller model predicts "hopeless" monsters, sterile and inviable transgressive phenotypes. The Bateson model predicts "hopeful" monsters with fitness greater than either parental population. The complementation model predicts both. Transgressive segregation after hybridization can rapidly produce novel phenotypes by recombining multiple loci simultaneously. Admixed populations will also produce many similar recombinant phenotypes at the same time, increasing the probability that recombinant "hopeful monsters" will establish true-breeding evolutionary lineages. Recombination is not the only (or even most common) process generating evolutionary novelty, but might be the most credible mechanism for sudden appearance of new forms. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 1% |
| France | 2 | 1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 135 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 24% |
| Researcher | 29 | 20% |
| Student > Bachelor | 20 | 14% |
| Student > Master | 13 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Other | 24 | 16% |
| Unknown | 14 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 61% |
| Biochemistry, Genetics and Molecular Biology | 22 | 15% |
| Environmental Science | 8 | 5% |
| Unspecified | 2 | 1% |
| Chemistry | 2 | 1% |
| Other | 3 | 2% |
| Unknown | 20 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 01 June 2023.
All research outputs
#1,643,745
of 25,337,969 outputs
Outputs from Evolutionary Biology
#30
of 333 outputs
Outputs of similar age
#13,787
of 288,881 outputs
Outputs of similar age from Evolutionary Biology
#3
of 11 outputs
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