Literature DB >> 17255018

Artificial neural networks in models of specialization, guild evolution and sympatric speciation.

Noél M A Holmgren1, Niclas Norrström, Wayne M Getz.   

Abstract

Sympatric speciation can arise as a result of disruptive selection with assortative mating as a pleiotropic by-product. Studies on host choice, employing artificial neural networks as models for the host recognition system in exploiters, illustrate how disruptive selection on host choice coupled with assortative mating can arise as a consequence of selection for specialization. Our studies demonstrate that a generalist exploiter population can evolve into a guild of specialists with an 'ideal free' frequency distribution across hosts. The ideal free distribution arises from variability in host suitability and density-dependent exploiter fitness on different host species. Specialists are less subject to inter-phenotypic competition than generalists and to harmful mutations that are common in generalists exploiting multiple hosts. When host signals used as cues by exploiters coevolve with exploiter recognition systems, our studies show that evolutionary changes may be continuous and cyclic. Selection changes back and forth between specialization and generalization in the exploiters, and weak and strong mimicry in the hosts, where non-defended hosts use the host investing in defence as a model. Thus, host signals and exploiter responses are engaged in a red-queen mimicry process that is ultimately cyclic rather then directional. In one phase, evolving signals of exploitable hosts mimic those of hosts less suitable for exploitation (i.e. the model). Signals in the model hosts also evolve through selection to escape the mimic and its exploiters. Response saturation constraints in the model hosts lead to the mimic hosts finally perfecting its mimicry, after which specialization in the exploiter guild is lost. This loss of exploiter specialization provides an opportunity for the model hosts to escape their mimics. Therefore, this cycle then repeats. We suggest that a species can readily evolve sympatrically when disruptive selection for specialization on hosts is the first step. In a sexual reproduction setting, partial reproductive isolation may first evolve by mate choice being confined to individuals on the same host. Secondly, this disruptive selection will favour assortative mate choice on genotype, thereby leading to increased reproductive isolation.

Mesh:

Year:  2007        PMID: 17255018      PMCID: PMC2323561          DOI: 10.1098/rstb.2006.1970

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  10 in total

1.  A neural network model of general olfactory coding in the insect antennal lobe.

Authors:  W M Getz; A Lutz
Journal:  Chem Senses       Date:  1999-08       Impact factor: 3.160

2.  On the origin of species by sympatric speciation.

Authors:  U Dieckmann; M Doebeli
Journal:  Nature       Date:  1999-07-22       Impact factor: 49.962

Review 3.  Neural limitations in phytophagous insects: implications for diet breadth and evolution of host affiliation.

Authors:  E A Bernays
Journal:  Annu Rev Entomol       Date:  2001       Impact factor: 19.686

4.  Evolutionary dynamics of host-plant specialization: a case study of the tribe Nymphalini.

Authors:  N Janz; K Nyblom; S Nylin
Journal:  Evolution       Date:  2001-04       Impact factor: 3.694

5.  Transition rates between specialization and generalization in phytophagous insects.

Authors:  P Nosil
Journal:  Evolution       Date:  2002-08       Impact factor: 3.694

6.  Extraterrestrial cause for the cretaceous-tertiary extinction.

Authors:  L W Alvarez; W Alvarez; F Asaro; H V Michel
Journal:  Science       Date:  1980-06-06       Impact factor: 47.728

7.  Ecology and speciation.

Authors:  M R Orr; T B Smith
Journal:  Trends Ecol Evol       Date:  1998-12-01       Impact factor: 17.712

8.  An odor discrimination model with application to kin recognition in social insects.

Authors:  W M Getz; R F Chapman
Journal:  Int J Neurosci       Date:  1987-02       Impact factor: 2.292

9.  Sympatric speciation in Nicaraguan crater lake cichlid fish.

Authors:  Marta Barluenga; Kai N Stölting; Walter Salzburger; Moritz Muschick; Axel Meyer
Journal:  Nature       Date:  2006-02-09       Impact factor: 49.962

10.  Coevolution of exploiter specialization and victim mimicry can be cyclic and saltational.

Authors:  Niclas Norrström; Wayne M Getz; Noél M A Holmgren
Journal:  Evol Bioinform Online       Date:  2007-01-11       Impact factor: 1.625

  10 in total
  3 in total

1.  Introduction. The use of artificial neural networks to study perception in animals.

Authors:  Colin R Tosh; Graeme D Ruxton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

2.  Computational Population Biology: Linking the inner and outer worlds of organisms.

Authors:  Wayne M Getz
Journal:  Isr J Ecol Evol       Date:  2013-10-10       Impact factor: 0.559

3.  Selection against accumulating mutations in niche-preference genes can drive speciation.

Authors:  Niclas Norrström; Wayne M Getz; Noél M A Holmgren
Journal:  PLoS One       Date:  2011-12-27       Impact factor: 3.240

  3 in total

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