Population genetic structure and putative migration pathway of<i>Sogatella furcifera</i>(Horváth) (Hemiptera, Delphacidae) in Asia

Nam, Hye Yeong; Kim, K. S.; Lee, J.-H.

doi:10.1017/s0007485318000755

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…Besides, mtDNA is often unsuitable for detecting isolation by distance [41]. This nding is consistent with the results of [42] who determined the effects of geographic isolation on the genetic structure of WBPH populations in Asia using microsatellite markers. A possible explanation for this might be that WBPH appears to have a stepwise migration.…”

Section: Discussionsupporting

confidence: 86%

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

Yang

Dong

Chen

et al. 2020

Preprint

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Background: The white-backed planthopper (WBPH), Sogatella furcifera (Horváth) (Hemiptera, Delphacidae), is a migratory pest of rice in Asia. Shandong Province, in northern China, is located on the migration pathway of WBPH between southern and northeast China. The potential sources of WBPH in northern China are poorly understood. We studied the sources of WBPH in Shandong Province by determining the population genetic structure of WBPH in 18 sites distributed in Shandong and in six regions of the Greater Mekong Subregion (GMS). We used mitochondrial gene and single-nucleotide polymorphism (SNP) markers for analysis.Results: All of the WBPH populations studied in the seven regions had low genetic diversity. Pairwise FST values ranged from -0.061 to 0.285, while FST based on SNP data ranged from -0.007 to 0.009. These two molecular markers revealed that 4.40% (mtDNA) and 0.19% (SNP) genetic variation could be explained by the interpopulation variation, while the rest came from intrapopulation variation. The populations in the seven geographic regions comprised four hypothetical genetic clusters (K = 4) not associated with geographic location. Eighty-four of 129 individuals distributed across the given area were designated as recent migrants or of admixed ancestry. Although the substantial migration presented, a weak but significant correlation between genetic and geographic distances was found (r = 0.083, P = 0.004).Conclusion: The Greater Mekong Subregion was the main genetic source of WBPH in Shandong, while other source populations may also exist. The genetic structure of WBPH is shaped by both migration and geographic barriers. These results help clarify the migration route and the source of WBPH in northern China.

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Section: Discussionsupporting

confidence: 86%

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

Yang

Dong

Chen

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Besides, mtDNA is often unsuitable for detecting isolation by distance [18]. This finding is consistent with the results of [19] who determined the effects of geographic isolation on the genetic structure of WBPH populations in Asia using microsatellite markers. A possible explanation for this might be that WBPH appears to have a stepwise migration.…”

Section: Population Genetic Structure Of Wbphsupporting

confidence: 84%

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

et al. 2020

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Background The white-backed planthopper (WBPH), Sogatella furcifera (Horváth) (Hemiptera, Delphacidae), is a migratory pest of rice in Asia. Shandong Province, in northern China, is located on the migration pathway of WBPH between southern and northeast China. The potential sources of WBPH in northern China are poorly understood. We studied the sources of WBPH in Shandong Province by determining the population genetic structure of WBPH in 18 sites distributed in Shandong and in six regions of the Greater Mekong Subregion (GMS). We used mitochondrial gene and single-nucleotide polymorphism (SNP) markers for analysis. Results All of the WBPH populations studied in the seven regions had low genetic diversity. Pairwise FST values based on mtDNA ranged from − 0.061 to 0.285, while FST based on SNP data ranged from − 0.007 to 0.009. These two molecular markers revealed that 4.40% (mtDNA) and 0.19% (SNP) genetic variation could be explained by the interpopulation variation, while the rest came from intrapopulation variation. The populations in the seven geographic regions comprised four hypothetical genetic clusters (K = 4) not associated with geographic location. Eighty-four of 129 individuals distributed across the given area were designated as recent migrants or of admixed ancestry. Although the substantial migration presented, a weak but significant correlation between genetic and geographic distances was found (r = 0.083, P = 0.004). Conclusion The Greater Mekong Subregion was the main genetic source of WBPH in Shandong, while other source populations may also exist. The genetic structure of WBPH is shaped by both migration and geographic barriers. These results help clarify the migration route and the source of WBPH in northern China.

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“…furcifera populations migrating from northern Vietnam or southern China are considered the primary sources of S. furciferain northeastern China, Korea and Japan (Matsumoto et al, 2013). Although the migration, genetic diversity and structure of S. furcifera populations have been investigated across some Asian countries, the insufficient number and robustness of genetic markers, including microsatellites, mitochondrial genes, and SNP markers, still have drawbacks for understanding population features (Liu, Gui, & Li, 2010;Mun et al, 1999;Nam, Kim, & Lee, 2019;Sun, Jiang, Wang, & Hong, 2014;Xie et al, 2014;Yang et al, 2020). In recent years, pioneering genomic technologies have provided more resources to screen highly representative markers for population studies, such as the genome-wide identification of SNP markers.…”

Section: Introductionmentioning

confidence: 99%

Chromosome-level genome assembly and population genomic analysis provide novel insights into the immunity and evolution of Sogatella furcifera

Cui

Bai

et al. 2023

Preprint

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Sogatella furcifera is an agricultural pest of great concern in China and Southeast Asian countries. However, the lack of accurate and complete reference genome resources has hindered the understanding of immunity and evolution of S. furcifera. Here, we utilized Nanopore sequencing to generate a chromosome-level assembly and annotation of the S. furcifera genome (0.64 Gb), with a GC content of 34.25%. This genome comprised 15 chromosomes covering 95.04% of the estimated genome size, together with an additional 624 small scaffolds making up the remaining 4.96% of the genome of S. furcifera. A total of 24,669 protein-coding genes as well as 1211 long noncoding RNA and 7595 circular RNA transcripts were well annotated and predicted. Comparative genomic analysis revealed the rapidly evolved genes associated with multiple immune-related pathways in S. furcifera, which may be responsible for its rapid evolutionary adaptation. In addition, 14 immune genes in the classic immune pathways were selected for functional validation through RNA interference experiments, demonstrating the antiviral effects of Dorsal and Dif genes in S. furcifera. Genome resequencing of 44 individuals from 12 geographic populations revealed an absence of population structures and frequent gene flow among all populations. Sweep analysis indicated that 2926 genes were under natural selection and significantly enriched in several biological processes of morphogenesis and immunity. The first systematic identification of immune genes and noncoding RNAs from chromosome-level genome assembly plus the comparative and population genomic analysis will provide more insights into the understanding of the immunity and evolutionary adaptation of S. furcifera.

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Population genetic structure and putative migration pathway ofSogatella furcifera(Horváth) (Hemiptera, Delphacidae) in Asia

Cited by 6 publications

References 27 publications

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

Migration of Sogatella furcifera between the Greater Mekong Subregion and northern China revealed by mtDNA and SNP

Chromosome-level genome assembly and population genomic analysis provide novel insights into the immunity and evolution of Sogatella furcifera

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