Host plant associations and geography interact to shape diversification in a specialist insect herbivore

2019 ◽  
Vol 28 (18) ◽  
pp. 4197-4211 ◽  
Author(s):  
Amanda L. Driscoe ◽  
Chris C. Nice ◽  
Robert W. Busbee ◽  
Glen R. Hood ◽  
Scott P. Egan ◽  
...  
2021 ◽  
Vol 9 ◽  
Author(s):  
J. Keaton Wilson ◽  
Nicolas Casajus ◽  
Rebecca A. Hutchinson ◽  
Kent P. McFarland ◽  
Jeremy T. Kerr ◽  
...  

Species distributions, abundance, and interactions have always been influenced by human activity and are currently experiencing rapid change. Biodiversity benchmark surveys traditionally require intense human labor inputs to find, identify, and record organisms limiting the rate and impact of scientific enquiry and discovery. Recent emergence and advancement of monitoring technologies have improved biodiversity data collection to a scale and scope previously unimaginable. Community science web platforms, smartphone applications, and technology assisted identification have expedited the speed and enhanced the volume of observational data all while providing open access to these data worldwide. How to integrate and leverage the data into valuable information on how species are changing in space and time requires new best practices in computational and analytical approaches. Here we integrate data from three community science repositories to explore how a specialist herbivore distribution changes in relation to host plant distributions and other environmental factors. We generate a series of temporally explicit species distribution models to generate range predictions for a specialist insect herbivore (Papilio cresphontes) and three predominant host-plant species. We find that this insect species has experienced rapid northern range expansion, likely due to a combination of the range of its larval host plants and climate changes in winter. This case study shows rapid data collection through large scale community science endeavors can be leveraged through thoughtful data integration and transparent analytic pipelines to inform how environmental change impacts where species are and their interactions for a more cost effective method of biodiversity benchmarking.


Evolution ◽  
2016 ◽  
Vol 70 (9) ◽  
pp. 2110-2122 ◽  
Author(s):  
Aino Kalske ◽  
Roosa Leimu ◽  
J. F. Scheepens ◽  
Pia Mutikainen

2013 ◽  
Vol 103 (6) ◽  
pp. 538-544 ◽  
Author(s):  
Glenna M. Malcolm ◽  
Gretchen A. Kuldau ◽  
Beth K. Gugino ◽  
María del Mar Jiménez-Gasco

Much of the current knowledge on population biology and ecology of soilborne fungal pathogens has been derived from research based on populations recovered from plants displaying disease symptoms or soil associated with symptomatic plants. Many soilborne fungal pathogens are known to cause disease on a large number of crop plants, including a variety of important agronomical, horticultural, ornamental, and forest plants species. For instance, the fungus Verticillium dahliae causes disease on >400 host plants. From a phytopathological perspective, plants on which disease symptoms have not been yet observed are considered to be nonhosts for V. dahliae. This term may be misleading because it does not provide information regarding the nature of the plant–fungus association; that is, a nonhost plant may harbor the fungus as an endophyte. Yet, there are numerous instances in the literature where V. dahliae has been isolated from asymptomatic plants; thus, these plants should be considered hosts. In this article, we synthesize scattered research that indicates that V. dahliae, aside from being a successful and significant vascular plant pathogen, may have a cryptic biology on numerous asymptomatic plants as an endophyte. Thus, we suggest here that these endophytic associations among V. dahliae and asymptomatic plants are not unusual relationships in nature. We propose to embrace the broader ecology of many fungi by differentiating between “symptomatic hosts” as those plants in which the infection and colonization by a fungus results in disease, and “asymptomatic hosts” as those plants that harbor the fungus endophytically and are different than true nonhosts that should be used for plant species that do not interact with the given fungus. In fact, if we broaden our definition of “host plant” to include asymptomatic plants that harbor the fungus as an endophyte, it is likely that the host ranges for some soilborne fungal pathogens are much larger than previously envisioned. By ignoring the potential for soilborne fungal pathogens to display endophytic relationships, we leave gaps in our knowledge about the population biology and ecology, persistence, and spread of these fungi in agroecosystems.


2010 ◽  
Vol 24 (5) ◽  
pp. 1103-1109 ◽  
Author(s):  
Margriet van Asch ◽  
Riita Julkunen-Tiito ◽  
Marcel E. Visser

Zootaxa ◽  
2017 ◽  
Vol 4344 (1) ◽  
pp. 1 ◽  
Author(s):  
MAJID FALLAHZADEH ◽  
GEORGE JAPOSHVILI

An updated checklist of Iranian Encyrtidae (Hymenoptera, Chalcidoidea) is presented based on literature records from 1947–2016. The current list includes 159 species representing 48 genera. Parasitoid-host associations in Iran and distributional data are also provided. Twelve encyrtid species (7.55%) are known only from Iran but a high number of species (68 species, 42.77%) are widely distributed in the Palaearctic region. Four species previously listed from Iran, Metaphycus angustifrons Compere, 1957, Homalotylus ephippium (Ruschka, 1923), H. sinensis Xu & He, 1997, and Ooencyrtus kuvanae (Howard, 1910) are no longer considered present. Hosts of Iranian encyrtid species are tabulated by order and family, with the majority being Hemiptera (66.98%), followed by Lepidoptera and Coleoptera (each 9.44%), Diptera (6.60%), Hymenoptera (4.71%) and Neuroptera (2.83%). The majority of Encyrtidae known in Iran are parasitoids of the superfamily Coccoidea (46.22%). Host-plant associations of Iranian Encyrtidae are also tabulated, by plant family. 


PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0139234 ◽  
Author(s):  
Zhijie Zhang ◽  
Xiaoyun Pan ◽  
Ziyan Zhang ◽  
Kate S. He ◽  
Bo Li

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