Literature DB >> 35301399

Detection of sex in adults and larvae of Leptinotarsa decemlineata on principle of copy number variation.

Vladimíra Sedláková1, Pavel Vejl1, Petr Doležal2, Jakub Vašek1, Daniela Čílová1, Martina Melounová1, Petr Sedlák3.   

Abstract

The identification of sex in larvae of insects is usually challenging or even impossible, while in adults the sexual dimorphism is usually evident. Here, we used copy number analysis to develop a method of sex detection in Colorado potato beetle (Leptinotarsa decemlineata), which has an X0 sex determination system. The X linked gene LdVssc and autosomal gene LdUBE3B were identified as appropriate target and reference loci, respectively. The copy numbers (CNV) of LdVssc in males and females were estimated using standard droplet digital PCR (ddPCR) and real-time PCR (qPCR). With both methods, CNVs were bimodally distributed (BAddPCR = 0.709 and BAqPCR = 0.683) with 100% ability to distinguish females from males. The use of qPCR-based sex detection in a broad collection of 448 random CPB adults showed a perfect association (Phi = 1.0, p < 0.05) with the true sexes of adults, with mean CNV in females of 2.032 (SD = 0.227) and 0.989 in males (SD = 0.147). In the collection of 50 random 4th instar larvae, 27 females and 23 males were identified, consistent with the expected 1:1 sex ratio (p = 0.689). The method is suitable for sexing in all stages of ontogenesis. The optimal cost-effective application of the method in large populations requires the DNA extraction using CTAB, the qPCR assay in one biological replicate and three technical replicates of each marker, and the use of one randomly chosen male per run to calibrate calculation of CNV.
© 2022. The Author(s).

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Year:  2022        PMID: 35301399      PMCID: PMC8931150          DOI: 10.1038/s41598-022-08642-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Insects (Insecta) represent the largest group of animal species with worldwide distributions[1]. Most insects reproduce sexually and, apart from occasional developmental anomalies, they appear to be obligately gonochoristic[2,3]. The tremendous diversity of insects is also associated with great diversity of sex determining mechanisms both within and between systematic groups[4,5]. Sex determination often involves sex chromosomes (gonosomes), which have evolved independently many times[6], and are important on other biological processes, such as genomic imprinting conflicts and speciation[7]. Gonosomes evolve from homologous autosomes that acquired a sex determining locus[6]. Sex determination is a complex developmental gene cascade, which starts on a primary sex determining gene, that controls downstream genes and differs across different insects, and ends in a terminal gene that is conserved in different insects[8,9]. Male heterogamety (XY or X0, if sex chromosomes are present) is the commonest sex determination in insects[10], currently documented in 77% of species investigated[4]. The Colorado potato beetle (CPB—Leptinotarsa decemlineata Say, 1824) studied here, is one of the most successful globally invasive insect herbivores, with high reproductive potential[11]. The male chromosome number of the species is 2n = 32 + X0 or 2n = 34 + X0[12]. The species belongs to the order Coleoptera, in which 771 of the 4960 species (15%) have X0 sex determining systems[10]. The occurrence of X0 males is not equally distributed in beetle families, but its frequency in Chrysomelidae is estimated at 16%[13]. The evolution of X0 systems is not well understood, but the "fragile Y" hypothesis[14,15] proposes that recurrent selection to reduce recombination between the X and Y chromosome leads to genetically degenerated Y chromosomes with physically small pseudoautosomal regions (PAR); as these regions are required for regular meiotic division of gonosomes, reduction in size may increase aneuploid gamete production, leading to loss of the Y once it has degenerated to the point that it no longer carries any essential genes. In Coleoptera, adults are morphologically sexually dimorphic[16,17], but dimorphism is mostly absent earlier in ontogeny[18,19], including the CPB. The sex of CPB adults can be reliably identified based on differences in the last abdominal sternite[16]. However, there is no morphological marker of sex for the four larval instars. Here, we show that sexing of CPB larvae is possible based on copy number variation (CNV) of X-linked genes (present in one copy in males, and two in females), relative to an autosomal reference gene[20] (with two copies in both sexes). We tested the CPB LdVssc gene as a target locus, as it has been shown to be X-linked[21]. This gene is a candidate for pyrethroid resistance[22] that encodes a voltage-sensitive sodium channel protein, and is highly conserved across Insecta and within populations of different insect species[23]. As a potential reference gene, an autosomal single-copy gene LdUBE3B, encoding ubiquitin-protein ligase E3B, was chosen. This gene was localized on linkage group 09 of the beetle species Tribolium castaneum Herbst, 1797[24]. CNV can be reliably detected using droplet digital PCR (ddPCR). However, the hardware is prohibitively expensive for widespread use[25]. The main objective of our work was therefore to develop method of sex detection in CPB larvae based on CNV using standard quantitative real-time PCR (qPCR), to compare its reliability with CNV detection using ddPCR, and to identify possible factors influencing the results of such analysis.

Material and methods

Sample collections and sex detection of adults

Adults and larvae of CPB used in the research were collected in 16 localities of the Czech Republic in July 2019. The individuals collected were separately placed into 1.5 polypropylene tubes, frozen in liquid nitrogen, and stored in a deep freezer at − 80 °C (SANYO). The method for molecular sex identification based on CNV was developed and optimised on a collection of adult CPB (collection A, with 10 females (F1–F10) and 10 males (M1–M10)) collected in potato fields of the Experimental station of Czech University of Life Sciences in Prague—Suchdol. An additional set of randomly collected adults from 15 other localities in the Czech Republic (collection B), with 234 females and 214 males, was used to test the reliability of the method. The true sexes of adults were identified using morphological differences in the last visible abdominal sternite, following Khidhir and Mustafa[16]. A third sample of 50 random 4th instar larvae collected in Prague (collection C) was used to test the accuracy of the new sexing method in larvae.

DNA extraction and quantification

To check flexibility of the molecular sexing method, two different methods of DNA extraction from various tissue materials were used. Genomic DNA from adults in collection A was isolated in two biological replicates (I and II), from caput and thorax with legs, respectively. This was performed using a NucleoSpin® Tissue Kit (Macherey–Nagel, Germany) following an animal tissue support protocol. Prior to the DNA extraction, tissues of both replicates were homogenized using Precellys Lysing Kit for hard tissue (Bertin Instruments, France) at maximum speed in Minilys (Bertin Instruments, France) for 180 s. Single extractions of genomic DNA of samples from collections B and C used an optimised CTAB method following Chen et al.[26]. The CTAB buffer consisted of 2% (w/v) CTAB diluted in 100 mM Tris–HCl, 20 mM EDTA, and 1.4 M NaCl; 0.2% (v/v), β-mercaptoethanol was added immediately before use[27]. 200 µL of CTAB buffer and 1 µL β-mercaptoethanol were added to each tissue sample in 1.5 mL polypropylene tubes, represented by 4 legs of adult or by caput with thorax of larva. The samples were homogenized using a sterile glass rod and then 2 µL of RNase A 100 mg mL−1 solution (Qiagen, Germany) were added. After incubation at 37 °C for 1 h, 2 µL of Proteinase K 20 mg mL−1 solution (Macherey–Nagel, Germany) was added, followed by further incubation at 50 °C for 1 h. The homogenate was then extracted with 200 µL of Roti-Phenol/chloroform/isoamyl alcohol (Carl Roth GmbH, Germany), vortexed vigorously and centrifuged (14,000×g, 10 min). The supernatant was transferred into a new 1.5 mL tube to which 200 µL chloroform/isoamyl alcohol (24:1) was added, and the mixture was then vortexed and centrifuged (14,000×g, 10 min). The supernatant was transferred into a new 0.5 mL tube. To precipitate DNA, an equal volume of chilled isopropanol was added, and the tube was very gently mixed. After the formation of a precipitate, the samples were incubated at − 20 °C for 1.5 h and centrifuged (14,000×g, 10 min). The pellet was washed twice with 200 µL of absolute ethanol, and centrifuged (14,000×g, 10 min). The pellet was dried in a thermoblock at 45 °C for 30 min. The dry pellet was then dissolved in 50 µL of 1 × TE buffer overnight. DNA samples were quantified with a NanoPhotometer (Implen, Germany) and diluted with PCR grade water (Sigma, Germany) to a concentration of 5 ng µL−1.

Design of primers

The gonosomal LdVssc and autosomal LdUBE3B genes were used as the target and reference genes, respectively, because the complete sequences of both genes were identified in whole genome sequencing data of L. decemlineata and enabled to design primers of equivalent parameters needed for amplification at the same conditions. To prevent problems with specificity across population, the specific primer pairs were located in the exon regions of each gene using Primer3 Input 0.4.0 Program[28] and Primer-BLAST (National Center for Biotechnology Information). Source data used to design the primers are specified in Table 1 with the final primer sequences for both genes.
Table 1

Markers designed for CNV-based sex identification system in CPB.

GenePrimerSequence (5′–3′)SequencePrimer positionAmplicon size (bp)
LdVsscLdVssc-FAGAATCATGGATTGTCCGAAGGTTLdec_2.0 scaffold2248 (NW_019291534.1)14,058–14,081243
LdVssc-RGAGGGTGGTAAGAGTGGCAAAAGT14,277–14,300
LdUBE3BLdUBE3B-FAACAACTGCAGCATCTGAAACTCCLdec_2.0 scaffold202 (NW_019289582.1)72,367–72,390250
LdUBE3B-RTACGGCTTTGAACACTTTGACACA72,593–72,616
Markers designed for CNV-based sex identification system in CPB.

Droplet digital PCR (ddPCR) assay

The ddPCR mix with a total volume of 25 μL, prepared for each marker separately, consisted of 12.5 μL of ddPCR EvaGreen Supermix (Bio-Rad, USA), 23 ng of genomic DNA and 40 nM each primer (Table 1). 20 μL of the ddPCR mix and 70 μL of Droplet Generation Oil for EvaGreen® (Bio-Rad, USA) were mixed using QX200™ droplet generator (Bio-Rad, USA). Samples (40 μL) containing droplets were immediately transferred into a 96-well plate (Bio-Rad, USA), sealed with aluminium foil, and placed in the deep well block of a T100™ Thermal Cycler (Bio-Rad, USA). The two-step PCR amplification consisting of the initial denaturation (95 °C, 300 s) followed by 40 cycles of denaturation (95 °C, 30 s) with annealing + extension step (60 °C, 60 s), followed by a final incubation sequence: 1 × (4 °C, 300 s), 1 × (90 °C, 300 s) and 1 × (10 °C, 300 s). The ramp rate between each step was 2 °C s-1. After amplification, the plate was incubated at 23 °C for 15 min and then transferred to QX200 reader (Bio-Rad, USA). Positive and negative droplets were counted using the QuantaSoft Version 1.7.4.0917 software (Bio-Rad, USA). The CNV of target LdVssc gene was calculated using Eq. (1).where c is the concentration of template molecules (template copies μL−1).

Real-time PCR assay

The qPCR mixes with a total volume of 10 μL, were prepared separately for each marker in technical triplicates. These consisted of 5.0 μL of FastStart Essential DNA Green Master (Roche, Switzerland), 20 ng of genomic DNA and 0.5 μM each primer. The amplification and melting temperature analysis were performed in thin wall hard-shell PCR plates (Bio-Rad, USA) using CFX Connect Real-Time System (Bio-Rad, USA) under the following conditions: initial denaturation (95 °C, 600 s), 40 cycles of denaturation (95 °C, 20 s), annealing (60 °C, 20 s) and extension (72 °C, 20 s). Ramp rate between each step was 5 °C s-1. During the subsequent melting analysis, the temperature changed from 65.0 to 95.0 °C by increments equal to 0.5 °C s-1. The efficiency (E) of both primer pairs was determined using dilution series with 20.0, 10.0, 5.0, 2.5, and 1.25 ng of genomic DNA per 10 μL reaction. The values of the variables E [%], R2, slope, and y-intercept (y-int) were determined using the Bio-Rad CFX Maestro software (Bio-Rad, USA). The difference between the slope values of curves obtained by plotting log inputs versus ΔCt (Ct − Ct) was assessed according to Larionov et al.[29]. The optimization and validation of the qPCR assay using the CPB collection A adults was designed in two biological replicates and three technical replicates. One adult male M1 was used as a calibrator. The verification of the method on DNA samples of collections B and C extracted by CTAB used one biological replicate and three technical replicates, when one random male (a putative male larva) was used as the calibrator for each PCR run. The copy number value based on the REST© algorithm according to Pfaffl et al.[30] was calculated using a male as a calibrator (Eq. 2).where E: Efficiency of primers, ∆Ct: Difference in cycle threshold (Ct) between the mean of technical replicates of the calibrator and the mean of technical replicates of the tested sample.

Sequencing of LdVssc and LdUBE3B amplicons

DNA fragments of one male and one female from collection A, were amplified by qPCR and sequenced in three replicates. Amplicons were extracted from 1.5% agarose gel using a MiniElute PCR Purification Kit (Qiagen, Germany), amplified using BigDye Terminator v 3.1 Kit (Life Technologies, USA) and analysed with a ABI 3730xl DNA Analyser (Life Technologies, USA). The sequences obtained were compared with published data using the program BioEdit version 7.0.5.3[31] and deposited in the NCBI international nucleotide database.

Statistical evaluation of experiments

The distributions of CNV values obtained for all datasets were tested for bimodality[32] using the statistical program R v4.1.0[33]. In the optimization process, the equality of the CNV values of biological replicates detected by ddPCR and qPCR was evaluated by paired sample t-tests, after confirming the normality of differences by the Shapiro–Wilk test. The results of molecular sex identification of all adults were compared with the true sex using association coefficient . The sex ratio detected in the collection of larvae by qPCR was compared with the expected 1:1 ratio using a χ2-test. These statistical evaluations were done using the Dell Statistica Software (Dell, USA).

Ethical approval

All of the experimental procedures were conducted in accordance with Czech legislation (Section 29 of Act No. 246/1992 Coll. on the protection of animals against cruelty, as amended by Act No. 77/2004 Coll.). We hereby declare that animal handling conducted in our study complies with the relevant European and international guidelines on animal welfare, namely Directive 2010/63/EU on the protection of animals used for scientific purposes and the guidelines and recommendations of the Federation of Laboratory Animal Science Associations. All experimental protocols were approved by the Czech University of Life Sciences Prague, Faculty of Agrobiology, Food and Natural Resources of the Czech Republic and Institutional and National Committees.

Results

Specificity of PCR markers of LdVssc and UBE3B genes

The electrophoretograms (Fig. 1)G,H) show that both primer pairs specifically amplified only DNA fragments of 243 bp and 250 bp, the expected sizes for LdVssc and LdUBE3B genes, respectively. The sequences of the LdVssc and LdUBE3B amplicons in the female F1 and male M1 from the collection A were deposited in the NCBI international nucleotide database under accession numbers MZ962721, MZ962722, MZ962723 and MZ962724 respectively. The sequences were identical in males and females and BLAST analysis of the LdVssc amplicons showed full sequence homology with the sequence NW_019291534.1, which was used to design the primers, and with various other transcripts of the gene (XR_002722894.1, XM_023167295.1, XM_023167296.1, XM_023167297.1, XM_023167298.1, XM_023167299.1, XM_023167300.1 and XM_023167301.1). Similarly, the LdUBE3B amplicon was fully homologous with the NW_019289582.1 sequence used to design the primers. The amplicon of the LdUBE3B gene contained partial sequences of exons 6 and 7 with the entire intron 6 (58 bp), and its exon region sequence was also identical with the published LdUBE3B mRNA sequence (XM_023174728.1). The specificity of our primers was also confirmed by melting analysis (Fig. 1E,F). The graphs show the melting curves typical for both genes in both male and female samples. The melting temperatures (Tm) 81.5 °C and 80.0 °C were determined for both LdVssc and LdUBE3B amplicons respectively.
Figure 1

Outputs of ddPCR and qPCR of CNV based sex detection using markers LdVssc and LdUBE3B typically detected in female (left side) and male (right side). Counts of positive and negative droplets (A, B), qPCR Ct values (C, D), qPCR melting analysis (E, F), and electrophoretograms of LdVssc and LdUBE3B amplicons (G, H).

Outputs of ddPCR and qPCR of CNV based sex detection using markers LdVssc and LdUBE3B typically detected in female (left side) and male (right side). Counts of positive and negative droplets (A, B), qPCR Ct values (C, D), qPCR melting analysis (E, F), and electrophoretograms of LdVssc and LdUBE3B amplicons (G, H).

Optimization of ddPCR and qPCR assays

Table 2 shows the parameters characterizing ddPCR in collection A, including descriptive statistics, and the CNV values are in Table 3. The analysis outputs (Fig. 1A,B) from QuantaSoft Version 1.7.4.0917 (Bio-Rad, USA) demonstrated that we had achieved an optimal setup of the assay, since most counted droplets were classified as positive or negative, and few droplets were detected in the “rain region”.
Table 2

Summary of results of ddPCR and qPCR in the collection A.

Target (LdVssc gene)Reference (LdUBE3B gene)
FemalesMalesFemalesMales
MinMax\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯SDMinMax\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯SDMinMax\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯SDMinMax\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯SD
ddPCR assay
Number of positive droplets699970587011281340534913457138698170517021279682169906914281
Number of negative droplets10,65310,80110,78743814,10314,29514,19355410,63610,79510,70443110,71510,87310,784427
Number of template copies per 1 μL62363562726249263259126216326242449952150919
qRT-PCR assay
Ct20.9322.1221.431.1122.8624.1223.511.1920.8122.0821.511.1320.9522.1421.401.10
Table 3

Comparison of CNV values detected by ddPCR and qPCR in the collection A.

FemaleddPCR assayqPCR assayMaleddPCR assayqPCR assay
Replicate\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯Replicate\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯Replicate\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯Replicate\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯
IIIIIIIIIIII
F12.0112.0092.0102.0241.9852.005M10.9680.9790.9741.0121.0261.019
F21.9931.9871.9901.8991.9661.933M21.0211.0111.0160.9310.9750.953
F32.0072.0112.0092.0572.0962.077M30.9810.9870.9841.0171.0021.010
F41.9751.9781.9772.0411.9872.014M41.0111.0241.0181.0250.9991.012
F52.0182.0092.0141.8741.9931.934M51.0010.9981.0000.8990.8910.895
F61.9711.9651.9681.9412.0511.996M61.0141.0121.0130.9161.0120.964
F71.9831.9911.9872.0651.9972.031M70.9990.9910.9951.0361.0361.036
F82.0192.0162.0181.8732.0141.944M81.0211.0091.0150.8771.0230.950
F91.9711.9681.9701.8851.9151.900M90.9870.9950.9910.9550.8810.918
F101.9931.9711.9821.9121.8881.900M101.0211.0361.0290.9310.9890.960
\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯1.9921.973\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{{\text x}}$$\end{document}x¯1.0030.972
SD0.0190.071SD0.0180.056
Summary of results of ddPCR and qPCR in the collection A. Comparison of CNV values detected by ddPCR and qPCR in the collection A. Comparable parameters were found for our optimized qPCR protocols, slope = − 3.324 (− 3.341), y-int = 38.476 (36.528), R2 = 0.985 (0.998) and E = 99.9% (99.2%), for both the target LdVssc and reference LdUBE3B genes. Since the difference between the slope values (0.017) was between − 0.1 to + 0.1, the CNV values could be determined by processing of raw Ct data, as suggested by Larionov et al.[29]. The qPCR-based Ct and CNV values detected specifically for collection A are presented in Tables 2 and 3, respectively. The optimization of method resulted in characteristic sets of qPCR curves for both studied genes (Fig. 1C,D). In the case of females (Fig. 1C), the curves have almost identical positions, resulting in ΔCt value approximately equal to 0.0, indicating the same copy numbers of target and reference gene. The shifted curves in males (Fig. 1D) correspond with a ΔCt value of approximately 1, indicating the expected halved quantity of target template in the sample, compared with the reference gene.

Statistical evaluation of the experiments

In collection A, the CNV values had a bimodal distribution, as characterized by the bimodality amplitude (BA) for both the ddPCR (BA = 0.709) and the qPCR (BA = 0.683) assays, as documented by histograms (Fig. 2A,B). The bimodality corresponded with the true sex of adults, with average CNV values of females and males of approximately 2 and 1, respectively (Table 4). The CNV values associated perfectly with individuals’ true sexes ( = 1.0, p < 0.05). Paired sample t-tests detected no significant differences in the mean CNV values of biological replicates using either ddPCR (t = 0.430, p = 0.672) or qPCR (t = − 1.809, p = 0.086). Normality of differences between CNV values of the biological replicates (required for the paired t-test) was confirmed by the Shapiro–Wilk test (W = 0.972, p = 0.802; W = 0.953, p = 0.414) for the ddPCR and qPCR methods, respectively. These results confirmed that both our sex prediction approaches are not affected by the biological material used to extract the genomic DNA.
Figure 2

Bimodal distribution of copy number values (CNV) documents the ability of ddPCR and qPCR to distinguish females and males in: the collection A using ddPCR (A) and qPCR (B), the collection B using qPCR (C), and the collection C by qPCR (D).

Table 4

Bimodality Amplitude (BA) values and other descriptive statistics of CNV values in all collections.

AssayBA valueSex (true)Sex (CNV based)NMeanSDCI mean 95%MinMaxCV
Collection A
ddPCR0.709FF101.9900.0190.0131.9702.0200.009
MM101.0000.0170.0120.9741.0300.017
qPCR0.683FF101.9730.0600.0431.9002.0770.030
MM100.9720.0460.0330.8951.0360.048
Collection B
qPCR0.795FF2342.0320.2270.0291.4442.6730.112
MM2140.9890.1470.0200.3201.4180.149
Collection C
qPCR0.799F272.0000.1010.0401.8272.1740.050
M231.0040.0840.0360.8761.1240.084
Bimodal distribution of copy number values (CNV) documents the ability of ddPCR and qPCR to distinguish females and males in: the collection A using ddPCR (A) and qPCR (B), the collection B using qPCR (C), and the collection C by qPCR (D). Bimodality Amplitude (BA) values and other descriptive statistics of CNV values in all collections. In collections B and C, the results agreed with those detected for collection A. The CNV values detected by qPCR were comparable with values obtained in collection A and again showed bimodal distributions in males (Table 4 and Fig. 2C,D). True sex associated perfectly with the CNV values in collection B ( = 1.0, p < 0.05). In collection C, 27 females and 23 males were predicted by qPCR, in agreement with the expected 1:1 sex ratio (χ2 = 0.16, p = 0.689).

Discussion

The study confirmed that CNV based sexing is possible using the X-linked LdVssc gene as a target and LdUBE3B gene as a reference. The target gene was detected in single copy in all 224 males (X0) and all 244 females (XX) were assessed as having two copies, after normalisation with the reference gene. The LdUBE3B gene required validation as a reference gene. Its genomic location in CPB was unknown (it is in an assembled unplaced genomic scaffold of the species, Ldec_2.0 scaffold202 (NW_019289582.1)), but its presence on autosomal linkage group 9 of Tribolium castaneum (NCBI gene ID: 659339) suggested that it could potentially be a suitable reference gene. Our results showed that the efficiencies of our primer pairs for both this gene and the target gene were comparable. Our results also documented that the LdUBE3B gene does not show sign of copy number variation (whereas the approximate mean copy number values for the LdVssc target gene in all experimental collections behaved as expected, with a bimodal distribution (Fig. 2) with peaks at CNV = 1 and CNV = 2, in males and females respectively, as just described). The LdUBE3B gene was therefore confirmed as an autosomal single-copy gene in CPB. One of the expected options of the optimization was to design a valuable, flexible, repeatable, and cost-effective method. The DNA extraction kit used in the optimization stage is not cost-effective for large numbers of population samples. Our analyses of collections B and C confirmed the flexibility of the method, because the results of sexing in DNA samples extracted using the cheaper CTAB method were consistent with those in collection A. The results show that both the amount of tissue and the quality of the DNA samples were sufficient for valuable analyses of extensive population samples. Both CNV detection systems, ddPCR and qPCR, gave statistically comparable results, although the ddPCR yielded more accurate CNV values. However, in agreement with Martins et al.[25], qPCR can be recommended as an affordable method for extensive sample sets, although three technical replicates for each marker and sample are recommended, in agreement with Svec et al.[34]. The greater variability of CNVs in collection B using qPCR (Fig. 2C and Table 4) may be related to the number of independent DNA samples, with individual quality differences. The set of 448 samples of adults required 28 independent runs, and an effect of different qPCR runs was also detected[34,35]. Although the CN values in each run were correctly calculated using a male individual as an internal calibrator, comparisons between runs, and calculation of correct CNVs using a single universal calibrator, was almost impossible. Technically, the use of a single individual from a population as a universal calibrator for each independent run is also not realistic for large sets or very small biological samples such as 1st instar larvae, which can yield insufficient DNA amounts for tens of replicates. For these reasons, a randomly chosen male from run is recommended used as a calibrator, and the CNVs should be calculated and interpreted individually for each run. Especially for prediction of sex in larvae, the individuals with lowest ΔCt were more probably males than females. This is likely an optimal solution for majority of insect species with regular occurrence of males, because an absence of males is unlikely in colonies of larvae in such case. Despite these difficulties, qPCR sex determination associated perfectly with the true sexes of adults, giving very good prospect for predicting the sexes of each instar CPB larvae. Our tests in a set of 50 larvae confirmed that the method gave comparable results and works on the same principle as in adults. There is no way to identify morphologically the sex in larval stages for many insect species, an in those where this is possible, it is only for the final larval instar or pupae, to a limited extent[18,19,36-38]. The method presented here therefore opens up new possibilities in the study of sex-related topics in all ontogenetic stages across insects. The target gene LdVssc, known as a candidate gene of knock-down resistance (kdr) to pyrethroids[39,40], was also confirmed by our study as a single copy gene in relatively large samples of CPB individuals collected across all regions of the Czech Republic that are important for production of potato. Copy number values higher than 2 were never detected in our experiments, suggesting that kdr susceptibility/resistance to pyrethroids in CPB is caused only by previously presented mutations within the gene[41] and not by increased CNV of the gene, as in corresponding gene in mosquitoes[25,42]. In conclusion, the methodology presented was independent on the developmental stage or tissue used, and the DNA extraction method, and can be optimised for all insect species with X0/XX sex determination systems to sex samples of all ontogenetic stages. Note that, as the larvae used are destroyed, the present approach cannot be used if the sexing is needed for studies of larval characteristics. However, it should be possible to develop a non-destructive modification of the method, for applications where keeping the larvae alive is important.
  25 in total

1.  Accelerated evolution of sex chromosomes in aphids, an x0 system.

Authors:  Julie Jaquiéry; Solenn Stoeckel; Claude Rispe; Lucie Mieuzet; Fabrice Legeai; Jean-Christophe Simon
Journal:  Mol Biol Evol       Date:  2011-10-13       Impact factor: 16.240

Review 2.  Structural variation in the human genome.

Authors:  Lars Feuk; Andrew R Carson; Stephen W Scherer
Journal:  Nat Rev Genet       Date:  2006-02       Impact factor: 53.242

Review 3.  The autoregulatory loop: A common mechanism of regulation of key sex determining genes in insects.

Authors:  Suresh Kumar Sawanth; Gajula Gopinath; Nagraj Sambrani; Kallare P Arunkumar
Journal:  J Biosci       Date:  2016-06       Impact factor: 1.826

4.  Estimating tempo and mode of Y chromosome turnover: explaining Y chromosome loss with the fragile Y hypothesis.

Authors:  Heath Blackmon; Jeffery P Demuth
Journal:  Genetics       Date:  2014-06       Impact factor: 4.562

5.  Conservation of the voltage-sensitive sodium channel protein within the Insecta.

Authors:  Juan J Silva; Jeffrey G Scott
Journal:  Insect Mol Biol       Date:  2019-07-03       Impact factor: 3.585

6.  Evaluation of five methods for total DNA extraction from western corn rootworm beetles.

Authors:  Hong Chen; Murugesan Rangasamy; Sek Yee Tan; Haichuan Wang; Blair D Siegfried
Journal:  PLoS One       Date:  2010-08-13       Impact factor: 3.240

Review 7.  Masters change, slaves remain.

Authors:  Patricia Graham; Jill K M Penn; Paul Schedl
Journal:  Bioessays       Date:  2003-01       Impact factor: 4.345

8.  A standard curve based method for relative real time PCR data processing.

Authors:  Alexey Larionov; Andreas Krause; William Miller
Journal:  BMC Bioinformatics       Date:  2005-03-21       Impact factor: 3.169

9.  High-throughput genotyping of a full voltage-gated sodium channel gene via genomic DNA using target capture sequencing and analytical pipeline MoNaS to discover novel insecticide resistance mutations.

Authors:  Kentaro Itokawa; Tsuyoshi Sekizuka; Yoshihide Maekawa; Koji Yatsu; Osamu Komagata; Masaaki Sugiura; Tomonori Sasaki; Takashi Tomita; Makoto Kuroda; Kyoko Sawabe; Shinji Kasai
Journal:  PLoS Negl Trop Dis       Date:  2019-11-18

10.  Detection and quantitation of copy number variation in the voltage-gated sodium channel gene of the mosquito Culex quinquefasciatus.

Authors:  Walter Fabricio Silva Martins; Krishanthi Subramaniam; Keith Steen; Henry Mawejje; Triantafillos Liloglou; Martin James Donnelly; Craig Stephen Wilding
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

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