A COMMENT ON GENE INTROGRESSION VERSUS EN MASSE CYCLE SWITCHING IN THE EVOLUTION OF 13-YEAR AND 17-YEAR LIFE CYCLES IN PERIODICAL CICADAS

Evolution ◽  
2003 ◽  
Vol 57 (2) ◽  
pp. 428 ◽  
Author(s):  
Randel Tom Cox ◽  
Chris E. Carlton
PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5282 ◽  
Author(s):  
John R. Cooley ◽  
Nidia Arguedas ◽  
Elias Bonaros ◽  
Gerry Bunker ◽  
Stephen M. Chiswell ◽  
...  

The periodical cicadas of North America (Magicicada spp.) are well-known for their long life cycles of 13 and 17 years and their mass synchronized emergences. Although periodical cicada life cycles are relatively strict, the biogeographic patterns of periodical cicada broods, or year-classes, indicate that they must undergo some degree of life cycle switching. We present a new map of periodical cicada Brood V, which emerged in 2016, and demonstrate that it consists of at least four distinct parts that span an area in the United States stretching from Ohio to Long Island. We discuss mtDNA haplotype variation in this brood in relation to other periodical cicada broods, noting that different parts of this brood appear to have different origins. We use this information to refine a hypothesis for the formation of periodical cicada broods by 1- and 4-year life cycle jumps.


2021 ◽  
Vol 67 (1) ◽  
Author(s):  
Chris Simon ◽  
John R. Cooley ◽  
Richard Karban ◽  
Teiji Sota

Apart from model organisms, 13- and 17-year periodical cicadas (Hemiptera: Cicadidae: Magicicada) are among the most studied insects in evolution and ecology. They are attractive subjects because they predictably emerge in large numbers; have a complex biogeography shaped by both spatial and temporal isolation; and include three largely sympatric, parallel species groups that are, in a sense, evolutionary replicates. Magicicada are also relatively easy to capture and manipulate, and their spectacular, synchronized mass emergences facilitate outreach and citizen science opportunities. Since the last major review, studies of Magicicada have revealed insights into reproductive character displacement and the nature of species boundaries, provided additional examples of allochronic speciation, found evidence for repeated and parallel (but noncontemporaneous) evolution of 13- and 17-year life cycles, quantified the amount and direction of gene flow through time, revealed phylogeographic patterning resulting from paleoclimate change, studied the timing of juvenile development, and created hypotheses for the evolution of life-cycle control and the future effects of climate change on Magicicada life cycles. New ecological studies have supported and questioned the role of prime numbers in Magicicada ecology and evolution, found bidirectional shifts in population size over generations, quantified the contribution of Magicicada to nutrient flow in forest ecosystems, and examined behavioral and biochemical interactions between Magicicada and their fungal parasites and bacterial endosymbionts. Expected final online publication date for the Annual Review of Entomology, Volume 67 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 8 (1) ◽  
pp. 201399
Author(s):  
Keiko Niijima ◽  
Momoka Nii ◽  
Jin Yoshimura

Periodical cicadas are the only confirmed periodical animals with long life cycles. In Japan, however, 8-year periodicity had been suggested in a species of train millipedes that had frequently obstructed trains in the central mountainous region of Honshu, Japan. This species was identified as Parafontaria laminata armigera Verhoeff (Diplopoda: Xystodesmidae), which is endemic to Japan. We finally confirmed the 8-year periodicity of this millipede using detailed surveys of life histories over 8 years. Seven broods were recognized, with almost no overlaps in their distributions. We also report the historical outbreaks and train obstructions of this millipede during 1920–2016. This is the first confirmed case of periodical non-insect arthropods.


1998 ◽  
Vol 152 (1) ◽  
pp. 162-164 ◽  
Author(s):  
Randal Tom Cox ◽  
C. E. Carlton

EDIS ◽  
1969 ◽  
Vol 2005 (3) ◽  
Author(s):  
Thomas J. Walker ◽  
Thomas Moore

In Florida, cicadas are best known for their loud calls heard during the day, usually issuing from trees. Their cast nymphal skeletons are often seen on the trunks of trees or on shrubs. In much of the eastern United States, they are also known for their appearance in colossal numbers (as many as 1.5 million per acre) every 13 or 17 years. Although these periodical cicadas (Magicicada spp.) do not occur in Florida, they merit further discussion under Life Cycles. This document is EENY-327, one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: May 2004. Revised: September 2004. EENY327/IN602: Cicadas (of Florida), Neocicada hieroglyphica (Say), Tibicen, Diceroprocta and Cicadetta spp. (Insecta: Hemiptera: Cicadidae) (ufl.edu)


2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.


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