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

Wan-Mei Qu, Ni Liang, Zi-Ku Wu, You-Gang Zhao, Dong Chu
Author Information
  1. Wan-Mei Qu: Key Lab of Integrated Crop Pest Management of Shandong Province College of Plant Health and Medicine Qingdao Agricultural University Qingdao China. ORCID
  2. Ni Liang: Key Lab of Integrated Crop Pest Management of Shandong Province College of Plant Health and Medicine Qingdao Agricultural University Qingdao China.
  3. Zi-Ku Wu: Science and Information College Qingdao Agricultural University Qingdao China.
  4. You-Gang Zhao: Science and Information College Qingdao Agricultural University Qingdao China.
  5. Dong Chu: Key Lab of Integrated Crop Pest Management of Shandong Province College of Plant Health and Medicine Qingdao Agricultural University Qingdao China.

Abstract

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, (Gennadius) MED (also known as 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 ; finally, an ad hoc statistic, Δ, was used to determine the optimal value. Our results showed that a sample size greater than four individuals ( ≥ 4) has little impact on estimates of genetic diversity within whitefly populations; moreover, precise estimate of can be easily achieved at a very small simple size ( = 3 or 4). Our results will provide in-depth understanding of the optimization of sampling schemes in population genomics of invasive species.

Keywords

References

  1. Sci Rep. 2016 Dec 19;6:39167 [PMID: 27991532]
  2. PLoS One. 2012;7(8):e42649 [PMID: 22905157]
  3. BMC Biol. 2016 Dec 14;14(1):110 [PMID: 27974049]
  4. Mol Ecol. 2005 Jul;14(8):2611-20 [PMID: 15969739]
  5. Mol Ecol. 2016 Jul;25(13):2997-3018 [PMID: 26971882]
  6. Gigascience. 2017 May 1;6(5):1-7 [PMID: 28327996]
  7. Nat Rev Genet. 2016 Feb;17(2):81-92 [PMID: 26729255]
  8. Heredity (Edinb). 2018 Jun;120(6):485-499 [PMID: 29339802]
  9. Sci Rep. 2018 Apr 3;8(1):5586 [PMID: 29615795]
  10. Nat Methods. 2014 Feb;11(2):121-2 [PMID: 24481215]
  11. Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 [PMID: 7984417]
  12. Bioinformatics. 2012 Oct 1;28(19):2537-9 [PMID: 22820204]
  13. PLoS One. 2018 Jan 24;13(1):e0190555 [PMID: 29364919]
  14. PLoS One. 2012;7(9):e45170 [PMID: 22984627]
  15. Mol Ecol Resour. 2018 Jun 1;: [PMID: 29856123]
  16. Bioinformatics. 2009 Aug 1;25(15):1966-7 [PMID: 19497933]
  17. PLoS One. 2013 Nov 26;8(11):e79997 [PMID: 24302995]
  18. Nat Methods. 2014 Feb;11(2):119-20 [PMID: 24645192]
  19. PeerJ. 2018 Apr 04;6:e4581 [PMID: 29637024]
  20. Annu Rev Entomol. 2011;56:1-19 [PMID: 20690829]
  21. Nat Methods. 2012 May 20;9(8):808-10 [PMID: 22609625]
  22. Nat Rev Genet. 2011 Jun 17;12(7):499-510 [PMID: 21681211]
  23. Bull Entomol Res. 2011 Aug;101(4):467-75 [PMID: 21320364]
  24. Ann Rev Mar Sci. 2010;2:367-93 [PMID: 21141669]
  25. Mol Ecol. 2016 Apr;25(7):1566-80 [PMID: 26857348]
  26. Evol Appl. 2017 Oct 23;11(7):1084-1093 [PMID: 30026799]
  27. Mol Ecol Resour. 2017 Nov;17(6):1136-1147 [PMID: 28078808]
  28. Genome Biol Evol. 2017 Nov 1;9(11):2958-2973 [PMID: 29096025]
  29. PLoS One. 2013 Nov 21;8(11):e79960 [PMID: 24278224]
  30. Sci Rep. 2017 Nov 21;7(1):15905 [PMID: 29162915]
  31. Ecol Evol. 2019 Oct 02;10(1):38-49 [PMID: 31988715]
  32. Mol Biol Evol. 2016 Jul;33(7):1870-4 [PMID: 27004904]
  33. PLoS One. 2011;6(10):e25579 [PMID: 21998669]

Word Cloud

Created with Highcharts 10.0.0populationinvasivesamplegenomicsspeciesgeneticsizeusedpopulationswhiteflyindividualsdiversitytechniqueslittleoptimalsizesstudySNPscladedetermineestimatesheterozygosityresultsAnalysisgeneticsprovidesinsightsevolutionaryprocessesamongchoicepersecrucialissueanalysisGenome-widehigh-throughputbasedRADseqincreasinglystudiesHoweverinformationavailableregardinganalyzingfirstusetypeIIBendonucleasesrestrictionsite-associatedDNA2b-RADminethousandssinglenucleotidepolymorphismsnativeintroducedQ1SPB17JNQ2ISQUAS0601GennadiusMEDalsoknownbiotypeQresamplingcreatesimulatedrandomsubset3000manysampledaccurateintra-interpopulationcalculatedintrapopulationparametersunbiasedexpectedobservednumbereffectallelespairwisedifferentiationfinallyadhocstatisticΔvalueshowedgreaterfour ≥ 4impactwithinmoreoverpreciseestimatecaneasilyachievedsmallsimple = 34willprovidein-depthunderstandingoptimizationsamplingschemesMinimuminvasiongenomics:Empiricalinvestigation2b‐RADempirical

Similar Articles

Cited By