Extensive gene flow of white-backed planthopper in the Greater Mekong Subregion as revealed by microsatellite markers

Yin, Yanni; Li, Xiangyong; Chu, Dong; Zhao, Xueqing; Khay, Sathya; Douangboupha, Bounneuang; Kyaw, Mu Mu; Kongchuensin, Manita; Somrith, Apirusht; Ngo, Vinh Vien; Nguyen, Huy Chung; Shen, S. C.; Liu, Shufang; Chen, Aidong

doi:10.1038/s41598-017-16164-0

Cited by 10 publications

(15 citation statements)

References 23 publications

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“…The AMOVA result indicated that there is only 4.40% (mtDNA) and 0.19% (SNP) genetic variation when all of the samples were grouped based on the geographic criteria. These results con rmed previous ndings that WBPH migrates between the counties in GMS and China [9].…”

Section: Discussionsupporting

confidence: 91%

“…The genome SNP markers (2b-RAD) analysis showed that a heterozygosity de cit existed in all populations. This result may be explained by demographic expansion, and it is consistent with [9] who also found that WBPH had a heterozygosity de cit during expansion. These ndings suggest that WBPH may have non-random mating and intense migration in the sampled populations.…”

Section: Discussionsupporting

confidence: 87%

“…Based on trajectory analysis, the rice paddy elds in the Greater Mekong Subregion (GMS), including Laos, Thailand, Vietnam, and parts of Yunnan Province in China, are considered to be important overwintering sites [6,7]. Molecular marker data have con rmed that the extensive gene ow of WBPH occurs between Yunnan Province and neighboring countries in the GMS [8,9].…”

Section: Introductionmentioning

confidence: 99%

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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: 91%

Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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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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“…For example, most insects have a high dispersal ability and thus high gene flow between different populations. This is especially true in migratory insects (Li et al, ; Yin et al, ) and is obviously different from the empirical analysis used on plant populations. In addition, many other factors including demographic history, intrinsic life‐history traits, and overall population characteristics should also be considered (Nazareno et al, ).…”

Section: Introductionmentioning

confidence: 94%

Minimum sample sizes for invasion genomics: Empirical investigation in an invasive whitefly

et al. 2019

Ecology and Evolution

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Analysis of population genetics provides insights into the evolutionary processes, among which the sample size choice is per se a crucial issue in the analysis. Genome‐wide high‐throughput techniques based on RADseq have been increasingly used in studies on the population genomics of invasive species. However, there is little information available regarding optimal sample sizes for analyzing population genomics of invasive species. In this study, we first use type IIB endonucleases restriction site‐associated DNA (2b‐RAD) to mine thousands of single nucleotide polymorphisms (SNPs) for native and introduced populations in Q1 clade (SPB and 17JN) and Q2 clade (ISQ and UAS0601) of the whitefly, Bemisia tabaci (Gennadius) MED (also known as B. tabaci biotype Q). Then, we used resampling techniques to create simulated populations with a random subset of individuals and 3,000 SNPs to determine how many individuals should be sampled for accurate estimates of intra‐ and interpopulation genetic diversity. We calculated the intrapopulation genetic diversity parameters (unbiased expected heterozygosity, observed heterozygosity, and the number of effect alleles) and pairwise genetic differentiation FST; finally, an ad hoc statistic, ΔK, was used to determine the optimal value. Our results showed that a sample size greater than four individuals (n ≥ 4) has little impact on estimates of genetic diversity within whitefly populations; moreover, precise estimate of FST can be easily achieved at a very small simple size (n = 3 or 4). Our results will provide in‐depth understanding of the optimization of sampling schemes in population genomics of invasive species.

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“…Widespread species with high dispersal capacity often show less pronounced spatial genetic structure with lower F ST distributions (e.g., Llewellyn et al, 2003;Vorburger, Lancaster, & Sunnucks, 2003;Yin et al, 2017). Minimal genetic structuring in P. vittatum was anticipated due to the species' high abundance and mobility across pastures and agricultural areas of Australia (Farrow, Nicolas, & Dowse, 1982;Yadav et al, 2018).…”

Section: Temperature and Land Cover Effects On Genetic Connectivitymentioning

confidence: 99%

Detection of environmental and morphological adaptation despite high landscape genetic connectivity in a pest grasshopper (Phaulacridium vittatum)

2019

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Widespread species that exhibit both high gene flow and the capacity to occupy heterogeneous environments make excellent models for examining local selection processes along environmental gradients. Here we evaluate the influence of temperature and landscape variables on genetic connectivity and signatures of local adaptation in Phaulacridium vittatum, a widespread agricultural pest grasshopper, endemic to Australia. With sampling across a 900‐km latitudinal gradient, we genotyped 185 P. vittatum from 19 sites at 11,408 single nucleotide polymorphisms (SNPs) using ddRAD sequencing. Despite high gene flow across sites (pairwise FST = 0.0003–0.08), landscape genetic resistance modelling identified a positive nonlinear effect of mean annual temperature on genetic connectivity. Urban areas and water bodies had a greater influence on genetic distance among sites than pasture, agricultural areas and forest. Together, FST outlier tests and environmental association analysis (EAA) detected 242 unique SNPs under putative selection, with the highest numbers associated with latitude, mean annual temperature and body size. A combination of landscape genetic connectivity analysis together with EAA identified mean annual temperature as a key driver of both neutral gene flow and environmental selection processes. Gene annotation of putatively adaptive SNPs matched with gene functions for olfaction, metabolic detoxification and ultraviolet light shielding. Our results imply that this widespread agricultural pest has the potential to spread and adapt under shifting temperature regimes and land cover change.

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Extensive gene flow of white-backed planthopper in the Greater Mekong Subregion as revealed by microsatellite markers

Cited by 10 publications

References 23 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

Minimum sample sizes for invasion genomics: Empirical investigation in an invasive whitefly

Detection of environmental and morphological adaptation despite high landscape genetic connectivity in a pest grasshopper (Phaulacridium vittatum)

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