Background & Summary

The European honeybee (Apis mellifera) was introduced to North and South America from Old World populations in the early 18th century1. In its native range, the honeybee is divided geographically and genetically into five ancestral lineages—the M and C lineages of Europe, the A lineage of Africa, and the Y and O lineages of Asia27—that encompass approximately 22 subspecies7.

European settlers, in the early 18th century, introduced subspecies of the M lineage (A. m. mellifera and A. m. iberica) into North America8,9. By the 20th century, C lineage (A. m. ligustica and A. m. carnica) and some O lineage (A. m. caucasia) subspecies were introduced8,9. It was during this century that Brazilian beekeepers first imported honeybees, chiefly A. m. mellifera and A. m. carnica, followed by A. m. ligustica and A. m. caucasia10. These subspecies were used exclusively in Brazil until 1956 when A. m. scutellata was imported from Africa for genetic research. Mated A. m. scutellata queens arrived from South Africa11 to breeding stations in Rio Claro, São Paulo, Brazil. The intention of the breeding program was to crossbreed A. m. scutellata with commercial stock to serve as a base population in selection programs12. Famously, queens and drones escaped and hybridized with the existing population12,13. These hybrids became one of the most astounding insect invaders in recent history; feral populations of the ‘Africanized’ bees retained the highly defensive trait of their African ancestors and are now the most common honeybee found from Central South America (Brazil and Northern Argentina) to Mexico and the southern United States14.

The sequencing of the honeybee genome in 2006 (ref. 15) was a landmark for the field of sociogenomics and has created valuable resources for the beekeeping industry1619, but because this genome was derived from a typical admixed North American honeybee15 it provides little information about the underlying genetic variation present in Africanized populations.

Here, we present the genomes of 360 AHBs from Brazil along with a reference SNP database for this population. Genomic resources for AHBs will be beneficial for both pure and applied research questions. First, there is a growing need to quickly and reliably detect Africanized colonies to secure international trade in honeybees16,19. Second, Africanized bees are highly defensive and they are commonly used for studying the genetics of nest defence20. Finally, Africanized bees are highly invasive: within the last 60 years they have become the most common genotype across much of the Southern United States14. There is evidence that adaptive introgression occurred during their invasion21.

Methods

Sampling and sample information

We collected 12 diploid worker bees from the brood frames of each of 30 Africanized honeybee colonies from four apiaries all located at Iaras city, São Paulo, Brazil (Table 1), located approximately 200 km from Rio Claro. These colonies were obtained from natural swarms within the State of São Paulo where the Africanized honeybee invasion began. We performed a single DNA extraction for each colony by pooling ¼ of a thorax from each of the 12 workers22. We used the Mag-Bind Blood DNA kit (Omega Biotek Store) with the manufacturer's recommended protocol to extract an average of 4.71±1.42 μg of high-quality DNA from each of the colonies.

Table 1 Sample sequencing and accession information.

DNA samples (one pooled sample of 12 workers from each colony) were submitted to The Centre for Applied Genomics (Toronto, ON) for library preparation and high-throughput sequencing. In brief, DNA was quantified by Qubit HS assay and 200 ng of DNA was used as input material for the TruSeq Nano DNA Sample Preparation protocol (Illumina, Inc.) following Illumina's recommendation. DNA was sheared to 550-bp on average using a Covaris S2 system (Duty cycle: 10%; Intensity 2; Burst per second: 200; Treatment time: 44 s; Mode: Frequency sweeping). The sheared DNA was end-repaired and the 3' ends were adenylated prior to ligation of the TruSeq adapters. The library was enriched by PCR using different indexed adapters to allow for multiplex sequencing using the following conditions: 95 °C for 3 min followed by 8 cycles of 98 °C for 20 s, 60 °C for 15 s and 72 °C for 30 s, and finally an extension step at 72 °C for 5 min.

Final TruSeq Nano DNA genomic libraries were validated on a Bioanalyzer 2100 DNA High Sensitivity chip (Agilent Technologies) for size and by qPCR using the Kapa Library Quantification Illumina/ABI Prism Kit protocol (KAPA Biosystems) for quantities. Ten libraries were pooled in equimolar quantities and sequenced on a HiSeq 2500 platform on a high throughput flowcell with the Illumina TruSeq V4 sequencing chemistry following Illumina’s recommended protocol to generate paired-end reads of 150-bases in length.

Genome alignment and variant calling

Each colony’s sequenced reads (N=30 colonies) were trimmed of Illumina Adaptors using Trimmomatic v0.32 then aligned to the most recent version of the honeybee genome (Amel_4.5 (ref. 23)) using BWA aligner v0.7.5 (ref. 24). Paired alignments were then merged with SAMTOOLS v 0.1.19 (ref. 25) and re-aligned using STAMPY v1.0.21 (ref. 26) with divergence (--d) set at 0.02. We marked and removed duplicate reads with PICARD v 1.141 and re-aligned around indels using GATK IndelRealigner v 3.1 (ref. 27) (Fig. 1; Data Citation 1).

Figure 1: Overview of alignment and SNP calling pipeline.
figure 1

To identify all variants found within our samples, we used two independent variant callers (Fig. 1): VARSCAN28 v2.3.7 and GATK UnifiedGenotyper (Data Citations 2 and 3) We used GATK with --ploidy 2 to identify only the location of variants and were unconcerned with specific genotype calls. We called all variant sites in GATK and VARSCAN using default parameters. We removed indels and all SNPs within 10 bp of indels, removed all unmapped scaffolds (Scaffolds 17.XXX or GroupUn) and mitochondrial sequence (Scaffold 18.1), and removed SNPs of low quality (Q<25) or in areas of low genomic complexity, thus reducing the potential for calling erroneous SNPs due to paralogous sequence or misaligned reads3 (Fig. 1). We retained all SNPs that were identified using both variant callers and that passed our conservative filtering procedures, above. Because our data consist of pooled sequence for 30 colonies, we report the allele frequency at each site as called by VARSCAN in Variant Call Format (Data Citation 3).

SNP validation: Population differentiation and admixture

To quantify differentiation among contemporary Africanized populations in Brazil and ancestral honeybee populations, we used POPOOLATION2 v1.201 (ref. 29). We created a single input file containing our Africanized bee samples pooled into a single alignment as well as population-pooled alignments from ancestral honeybee populations from Africa (A lineage, N=11) and Europe (M lineage, N=9; C lineage N=9). The latter sequence data were obtained from a recent honeybee population genomics study3 and represents ancestral populations from which Africanized populations are derived. We generated a single MPILEUP file and extracted from it the 3,606,720 SNPs identified above in our Africanized honeybee samples. We estimated pairwise population differentiation on all sites with --min-count 6 --min-coverage 100 --max-coverage 800 --min-covered-fraction 0.8.

Code availability

We have not used any custom code and relied on previously available, validated, software packages; however, we have left our general pipeline available for re-use at the author’s GitHub (https://github.com/harpur/afz/blob/master/AHBPipeline.sh).

Data Records

We have curated a set of 3,606,720 SNPs identified in 360 Africanized honeybees across 30 colonies (Data Citations 2 and 3). The data consist of SNPs called across the most recent honeybee reference genome (Amel_4.5 (ref. 23)) in Variant Call File format on placed scaffolds. Because we utilized a pooled-sequencing method, all variant sites include the frequency of each alternate allele call for each colony. All sequence data are also available in BAM format (Data Citation 1; Table 1) allowing subsequent researchers to use updated SNP calling and genotype software when available.

Technical Validation

To validate that our samples are indeed Africanized and to confirm our SNP calls, we compared our current SNPs to those of a previous honeybee population genomics study that sequenced and analysed honeybee samples using similar methods as described herein3. Africanized bees are known to be derived from three of the major honeybee population groups: A, M, and C6,16. We found that 99.8% of the 3,606,720 SNPs found in AHBs, were also found within one or more of these ancestral populations. Africanized populations are expected to have higher A lineage ancestry relative to C and M lineage ancestry7,16. Using a regression model30, we demonstrated that allele frequencies within Africanized bees are more correlated with A lineage allele frequencies (GLM; r=0.529, P<2.2×10−16) relative to both M lineage allele frequency (r=0.102, P<2.2×10−16) and C lineage allele frequency (r=−0.08, P<2.2×10−16; Fig. 2), as we would expect from an Africanized population. As well, we find that AHB and A lineage are more similar genetically (Fst=0.02) than AHB versus M-lineage (0.04) and AHB versus C-lineage (0.05).

Figure 2: Correlation of allele frequencies between the Brazilian Africanized honeybee population and (a) A-lineage bees (b) C-lineage bees and (c) M-lineage bees.
figure 2

Red line shows results of linear model fit.

Additional Information

How to cite this article: Kadri, S. M. et al. A variant reference data set for the Africanized honeybee, Apis mellifera. Sci. Data 3:160097 doi: 10.1038/sdata.2016.97 (2016).

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