scholarly journals Tracing the Origin of Korean Invasive Populations of the Spotted Lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae)

Insects ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 539
Author(s):  
Hyojoong Kim ◽  
Sohee Kim ◽  
Yerim Lee ◽  
Heung-Sik Lee ◽  
Seong-Jin Lee ◽  
...  
Keyword(s):  
Population Genetic ◽  
Host Plants ◽  
Approximate Bayesian Computation ◽  
Genetic Relationships ◽  
Source Region ◽  
Multiple Introductions ◽  
Chinese Populations ◽  
Lycorma Delicatula ◽  
Approximate Bayesian ◽  
Genetic Structures

Lycorma delicatula (White) suddenly arrived in Korea where it rapidly spread out in the central region of Korea and caused serious damage to grape vineyards. To trace the source region of its invasiveness, population genetic structures were compared between the native region, China, and the introduced regions, Korea and Japan. We examined 762 individuals from 38 different population collections using 15 microsatellite loci. Both principal coordinate and structure analyses displayed that the Chinese populations were separated into three subgroups which were located significantly far apart from each other. Among them, the Shanghai population was located closest to most Korean populations. Based on the genetic relationships and structures, it was revealed that the multiple introductions into Korea occurred at least three times. In addition, the Shanghai population was strongly estimated to be a source of initial invasive populations of Korea. In addition, analysis of the approximate Bayesian computation suggested simultaneous spread from two distant locations early in the invasion by artificial transportation of the host plants bearing egg masses. Our population genetics study can provide a precedent case with regards to identifying spreads by anthropogenic outcomes in other invasive regions.

scholarly journals Tracing the Origin of Korean Invasive Populations of the Spotted Lanternfly, Lycorma Delicatula (Hemiptera: Fulgoridae)

2021 ◽  
Author(s):  
Hyojoong Kim ◽  
Sohee Kim ◽  
Yerim Lee ◽  
Heung-Sik Lee ◽  
Seong-Jin Lee ◽  
...  
Keyword(s):  
South Korea ◽  
Host Plants ◽  
Approximate Bayesian Computation ◽  
Genetic Relationships ◽  
Source Region ◽  
Multiple Introductions ◽  
Chinese Populations ◽  
Lycorma Delicatula ◽  
Approximate Bayesian ◽  
Genetic Structures

Abstract Lycorma delicatula (White) suddenly arrived in South Korea where it rapidly spread out in the central region of South Korea and became a pest causing serious damage to grapevine yards. To trace the source region of its invasiveness, population genetic structures were compared between the native region, China, and the introduced regions, Korea and Japan. We examined 762 individuals from 38 different population collections using 15 microsatellite loci. Both principal coordinate and structure analyses displayed that the Chinese populations were separated into three subgroups which were located significantly apart from each other, and, among them, Shanghai population was located closest to most Korean populations. Based on the genetic relationships and structures, although the multiple introductions into South Korea occurred at least three times, the single genetic group close to Shanghai with a high density spread was estimated to be a cause of dominant genetic structure of initial invasive populations. In addition, analysis of the approximate Bayesian computation suggested simultaneous spread from two distant locations early in the invasion by artificial transportation of the host plants including egg masses. Our population genetics study can provide a precedent case with regards to identifying unnatural spreads by anthropogenic outcomes in other invasive regions.

Phylogenomic Data Reveal Widespread Introgression Across the Range of an Alpine and Arctic Specialist

2020 ◽  
Author(s):  
Erik R Funk ◽  
Garth M Spellman ◽  
Kevin Winker ◽  
Jack J Withrow ◽  
Kristen C Ruegg ◽  
...  
Keyword(s):  
Gene Flow ◽  
Genome Sequence ◽  
Population Genetic ◽  
Approximate Bayesian Computation ◽  
Sequence Data ◽  
Species Group ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequence Data ◽  
Approximate Bayesian

Abstract Understanding how gene flow affects population divergence and speciation remains challenging. Differentiating one evolutionary process from another can be difficult because multiple processes can produce similar patterns, and more than one process can occur simultaneously. Although simple population models produce predictable results, how these processes balance in taxa with patchy distributions and complicated natural histories is less certain. These types of populations might be highly connected through migration (gene flow), but can experience stronger effects of genetic drift and inbreeding, or localized selection. Although different signals can be difficult to separate, the application of high-throughput sequence data can provide the resolution necessary to distinguish many of these processes. We present whole-genome sequence data for an avian species group with an alpine and arctic tundra distribution to examine the role that different population genetic processes have played in their evolutionary history. Rosy-finches inhabit high elevation mountaintop sky islands and high-latitude island and continental tundra. They exhibit extensive plumage variation coupled with low levels of genetic variation. Additionally, the number of species within the complex is debated, making them excellent for studying the forces involved in the process of diversification, as well as an important species group in which to investigate species boundaries. Total genomic variation suggests a broadly continuous pattern of allele frequency changes across the mainland taxa of this group in North America. However, phylogenomic analyses recover multiple distinct, well supported, groups that coincide with previously described morphological variation and current species-level taxonomy. Tests of introgression using D-statistics and approximate Bayesian computation reveal significant levels of introgression between multiple North American taxa. These results provide insight into the balance between divergent and homogenizing population genetic processes and highlight remaining challenges in interpreting conflict between different types of analytical approaches with whole-genome sequence data. [ABBA-BABA; approximate Bayesian computation; gene flow; phylogenomics; speciation; whole-genome sequencing.]

scholarly journals Congruent population genetic structures and divergence histories in anther‐smut fungi and their host plants Silene italica and the Silene nutans species complex

2020 ◽  
Vol 29 (6) ◽  
pp. 1154-1172 ◽  
Author(s):  
Fanny E. Hartmann ◽  
Alodie Snirc ◽  
Amandine Cornille ◽  
Cécile Godé ◽  
Pascal Touzet ◽  
...  
Keyword(s):  
Population Genetic ◽  
Species Complex ◽  
Host Plants ◽  
Smut Fungi ◽  
Anther Smut ◽  
Silene Nutans ◽  
Genetic Structures

scholarly journals Population Genetics for Inferring Introduction Sources of the Oriental Fruit Fly, Bactrocera dorsalis: A Test for Quarantine Use in Korea

Insects ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 851
Author(s):  
Hyojoong Kim ◽  
Sohee Kim ◽  
Sangjin Kim ◽  
Yerim Lee ◽  
Heung-Sik Lee ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Approximate Bayesian Computation ◽  
Source Region ◽  
Fruit Fly ◽  
Haplotype Network ◽  
Bactrocera Dorsalis ◽  
Oriental Fruit Fly ◽  
Asian Populations ◽  
Place Of Origin ◽  
Approximate Bayesian

To infer the introduction sources of the oriental fruit fly, Bactrocera dorsalis, we used a mitochondrial marker to reconstruct the haplotype network and 15 microsatellite loci to reveal genetic structure and relationships between the geographically or temporally different collections from Asia. We performed Approximate Bayesian computations to infer a global origin and a source of the quarantine collections found in Korea. As a result, the 40 populations were divided into three groups, of which genetic similarity is not related to the geographic vicinity. Korean samples had a similar genetic structure to Taiwan and Thailand ones. Our results suggest that the place of origin of the B. dorsalis specimens found in Korea’s border quarantine is likely to be Taiwan or Thailand. As the global origin of B. dorsalis, we estimated that Taiwan and Thailand were most likely the global origins of Southeast Asian populations by testing hypothetical scenarios by the approximate Bayesian computation analyses. Our results will allow easier identification of the source region of the forthcoming invasion of quarantined B. dorsalis specimens.

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