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Deep Sequencing of Small RNAs in the Whitefly Bemisia tabaci Reveals Novel MicroRNAs Potentially Associated with Begomovirus Acquisition and Transmission

Summary The whitefly (Bemisia tabaci), a notorious insect vector, transmits hundreds of viruses causing serious yield losses in a diverse food and fiber crops including beans, cassava, cotton, cucurbits, pepper, sweet potato and tomato, and results in billions of U.S. dollars of economic losses annually worldwide. To investigate the molecular mechanisms regulating gene expression in whitefly that is associated with begomovirus transmission, we conducted small RNA sequencing and compared the microRNA (miRNA) profiles between viruliferous whiteflies feeding on tomato plants infected with a begomovirus, tomato yellow leaf curl virus (TYLCV), and those whiteflies feeding on uninfected plants. We uncovered a comprehensive microRNA genetic regulatory system in whiteflies that may be involved in virus acquisition and transmission. Interestingly, correlating the expression profile of miRNAs and their target transcript expression in our earlier transcriptome study, we found miRNA expression was inversely correlated with predicted target gene expression in over 50% of all cases. This fundamental understanding will help identify new target sequences that could be used to improve RNA interference technology for whitefly control. These analyses could also serve as a model to study gene regulation in other systems involving arthropod transmission of viruses to plants and animals. Abstract The whitefly Bemisia tabaci (Gennadius) is a notorious insect vector that transmits hundreds of plant viruses, affecting food and fiber crops worldwide, and results in the equivalent of billions of U.S. dollars in crop loss annually. To gain a better understanding of the mechanism in virus transmission, we conducted deep sequencing of small RNAs on the whitefly B. tabaci MEAM1 (Middle East-Asia Minor 1) that fed on tomato plants infected with tomato yellow leaf curl virus (TYLCV). Overall, 160 miRNAs were identified, 66 of which were conserved and 94 were B. tabaci-specific. Among the B. tabaci-specific miRNAs, 67 were newly described in the present study. Two miRNAs, with predicted targets encoding a nuclear receptor (Bta05482) and a very-long-chain (3R)-3-hydroxyacyl-CoA dehydratase 2 (Bta10702), respectively, were differentially expressed in whiteflies that fed on TYLCV-infected versus uninfected plants. To better understand the regulatory effects of identified miRNAs and their target genes, we correlated expression profiles of miRNAs and their target transcripts and found that, interestingly, miRNA expression was inversely correlated with the expression of ~50% of the predicted target genes. These analyses could serve as a model to study gene regulation in other systems involving arthropod transmission of viruses to plants and animals.


Introduction
The whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a globally-distributed insect pest that is capable of transmitting hundreds of pathogenic viruses to agricultural crops including tomato (Solanum lycopersicum L.), sweetpotato (Ipomoea batatas (L.) Lam.), beans (e.g., Phaseolus spp., melon (e.g., Cucumis melo L.), squash (Cucurbita spp.), and cassava (Manihot esculenta) [1]. B. tabaci is a complex of cryptic species with indistinguishable morphology, but exhibits diversity in their host The same pools of total RNA from whiteflies that fed on TYLCV-infected tomato and uninfected tomato used in our previous RNA-Seq study [13] were used in the current study. To determine the percent of whiteflies that had acquired TYLCV, PCR analysis was conducted using DNA preparations from each of 10 individual whiteflies per treatment feeding on TYLCV-infected plants for each acquisition access period (AAP). The results showed that 60% (6 of 10) of whiteflies were positive for TYLCV at 24 h, and 100% (10/10) were positive for either 48 h or 72 h [13]. As expected, individual whiteflies that were exposed to uninfected tomato plants tested negative for TYLCV.

RNA Isolation and Library Preparation
Total RNA was isolated with TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer's protocol and purified with the Direct-zol RNA MiniPrep kit (Zymo Research, Irvine, CA, USA). Small RNAs were then PAGE-purified and libraries were prepared, as previously described [25], and sequenced on an Illumina HiSeq 2000.

Initial Sequence Processing and Analysis of Reads for 18 Small RNA Libraries
Small RNA sequence reads from all 18 libraries were processed to remove adapters and low-quality reads using a Perl script provided in the VirusDetect package [26]. Sequences that were shorter than 15 nt and longer than 40 nt were removed. The high quality and size of the selected reads were then aligned to the Rfam database (Version 12.1) (http://rfam.sanger.ac.uk/) to filter out reads of rRNAs, tRNAs, and snRNAs, and the remaining cleaned reads were used for miRNA identification.

Identification of Conserved and Novel miRNAs
The small RNA reads (19-25 nt) were aligned to the insect miRNA sequences (Drosophila melanogaster, Aedes aegypti, Apis mellifera, Tribolium castaneum, and Bombyx mori) that were available in miRBase (v21 http://www.miRBase.org/) [27] to identify conserved miRNAs. Specifically, BLASTN searches were performed against insect mature miRNA sequences with an E-value cut-off value of 10. Alignments that had less than or equal to four nucleotide mismatches were defined as conserved miRNAs. Novel miRNA candidates were identified using miRDeep2 [28] with default parameters by mapping small RNA reads to the whitefly genome [29] and predicting pre-miRNA precursor hairpin structures. Secondary structures for all predicted pre-miRNAs as well as detailed summaries for each miRNA were obtained, including information about the Dicer cleavage site, minimum folding free energy, and the number of reads. Absolute read numbers were normalized as reads per million (RPM) prior to comparative analysis.

Validation of Novel miRNAs by Reverse Transcription Polymerase Chain Reaction (RT-PCR)
Small RNAs from the 48 h time point (uninfected treatment, first biological replicate) were purified from a 15% urea-TBE-polyacrylamide gel as previously described [25], and selected miRNAs were specifically detected using the Poly(T) Adaptor RT-PCR protocol [30]. Small RNAs were first poly(A) tailed using the E. coli Poly(A) Polymerase (New England Biolabs, Ipswich, MA, USA) and then reverse transcribed using the SuperScript III First-Strand Synthesis for RT-PCR kit (Thermo Fisher Scientific, Waltham, MA, USA) and a poly(T) adaptor primer [30] (Table S5). PCR reactions were assembled in 20 µL triplicate reactions using 100 ng cDNA, miRNA-specific forward primer, poly(T) adaptor reverse primer (Table S5), and 2X Brilliant II SYBR Green QPCR Low ROX Master Mix (Agilent Technologies, Santa Clara, CA, USA). Reactions were performed using a Stratagene Mx3000p system (Stratagene, San Diego, CA, USA), and Ct values and dissociation curves were analyzed for specific amplification. Non-template control reactions were also simultaneously set up in triplicate, none of which yielded a Ct value or a dissociation curve (data not shown). PCR products were then analyzed on an agarose gel (4%) to verify the size of the amplimer.

Target Prediction and Gene Ontology Analysis
MicroRNA targets were predicted using a published whitefly dataset [29] and a widely used miRNA target predictor, miRanda (v3.3, http://www.microrna.org/microrna/getDownloads.do) [18]. Alignment scores greater than or equal to 150 and miRNA/mRNA binding energy (Minimum Free Energy (MFE, ∆G)) less than −20 kcal/mol were used to run the program. The miRanda output revealed many targets for individual miRNA. Predicted targets were further filtered using more stringent criteria (alignment score greater than or equal to 170, minimum free energy (MFE) less than −25 kcal/mol, minimum alignment length greater than or equal 15 nt) to obtain the most probable targets. The predicted target for each miRNA that had the highest alignment score was kept and compiled into a list of predicted single targets for all miRNAs. Gene ontology (GO) term analysis was performed on predicted single miRNA targets using Blast2GO [31].

Overview of miRNA Data
To capture whitefly miRNA profiles in response to feeding on TYLCV-infected tomato, deep sequencing of small RNAs was performed after whiteflies fed on either TYLCV-infected tomato or uninfected tomato for acquisition access periods (AAP) of 24 h, 48 h, and 72 h. Three biological replicates were performed per AAP and treatment. Overall,~175 million reads were obtained from 18 libraries, with~5-13 million reads per library. After adapter trimming and removing low quality reads together with filtering out reads mapped to rRNAs, tRNAs, and snRNAs,~2-8 million cleaned reads with lengths of 15-40 nt were generated per library, with an average of~71% of the reads mapped to the B. tabaci MEAM1 genome (http://www.whiteflygenomics.org [29]; Table S1). Pearson's correlation coefficients were close to 1 for all biological replicates (Table S2), suggesting the data were highly reproducible.
Small RNAs of 19-25 nt are likely to be made up of miRNAs, with the majority of miRNAs ranging from 21-23 nt. Overall, small RNAs ranging from 19-25 nt accounted for~28% of all reads, while those ranging from 21-23 nt accounted for~17% of all reads ( Figure 1). In whiteflies that fed on uninfected or TYLCV-infected tomato, reads within the range of 21-23 nt in length accounted for 15% and 13% of all reads at 24 h, 18% and 18% of reads at 48 h, and 19% and 20% of reads at 72 h, respectively ( Figure 1). Small RNAs of 26-31 nt in length are considered piRNAs and were the focus of a separate study reported in Shamimuzzaman et al. [32].
After aligning the selected small RNA reads (19-25 nt) to the whitefly B. tabaci MEAM1 genome [29], conserved and novel miRNAs were identified using miRDeep2 [28]. Overall, 160 miRNAs were identified, of which 66 were conserved and 94 were B. tabaci-specific (Table 1). A total of 54 conserved miRNA families were represented and 67 out of the 94 B. tabaci-specific miRNAs are newly described. When all 160 miRNAs were mapped to the B. tabaci MED genome [33], 50 out of 54 conserved miRNA families and 88 out of 94 B. tabaci-specific miRNAs were common between B. tabaci MEAM1 and MED, suggesting a high degree of conservation in different B. tabaci biotypes (Table S3). identified, of which 66 were conserved and 94 were B. tabaci-specific (Table 1). A total of 54 conserved miRNA families were represented and 67 out of the 94 B. tabaci-specific miRNAs are newly described. When all 160 miRNAs were mapped to the B. tabaci MED genome [33], 50 out of 54 conserved miRNA families and 88 out of 94 B. tabaci-specific miRNAs were common between B. tabaci MEAM1 and MED, suggesting a high degree of conservation in different B. tabaci biotypes (Table S3).   Total  19  1  4  5  20  0  1  1  21  22  9  31  22  32  61  93  23  10  14  24  24  1  2  3  25  0  3  3  Total  66 94 160

Identification and Validation of Novel B. Tabaci-Specific miRNAs
Among the 67 novel B. tabaci-specific miRNAs discovered in this study, a total of 17 had RPM (transcripts per million) values greater than 10 in at least one treatment at one time point (Table S4). The top five highly expressed novel miRNAs had RPM values greater than 200, miRDeep2 scores greater than 5000, and minimum free energy values less than −19 kcal/mol, with Bta-miRn88 as the most abundant novel miRNA, which was expressed at over 2000 RPM at 72 h (miRDeep2 score = 75,255; minimum free energy = −27 kcal/mol) (Table S4).
Using the whitefly B. tabaci MEAM1 genome sequence as a reference, we were able to predict pre-miRNA secondary structures for novel miRNAs identified in this study. Among them, seven pre-miRNA secondary hairpin structures are presented ( Figure S1). These novel miRNAs were selected based on their expression values: top four highest expressed miRNAa, one lowest expressed miRNA, and two mid-range expressing miRNAs. To validate the miRNAs identified in the current study, six

Identification and Validation of Novel B. tabaci-Specific miRNAs
Among the 67 novel B. tabaci-specific miRNAs discovered in this study, a total of 17 had RPM (transcripts per million) values greater than 10 in at least one treatment at one time point (Table S4). The top five highly expressed novel miRNAs had RPM values greater than 200, miRDeep2 scores greater than 5000, and minimum free energy values less than −19 kcal/mol, with Bta-miRn88 as the most abundant novel miRNA, which was expressed at over 2000 RPM at 72 h (miRDeep2 score = 75,255; minimum free energy = −27 kcal/mol) (Table S4).
Using the whitefly B. tabaci MEAM1 genome sequence as a reference, we were able to predict pre-miRNA secondary structures for novel miRNAs identified in this study. Among them, seven pre-miRNA secondary hairpin structures are presented ( Figure S1). These novel miRNAs were selected based on their expression values: top four highest expressed miRNAa, one lowest expressed miRNA, and two mid-range expressing miRNAs. To validate the miRNAs identified in the current study, six B. tabaci-specific miRNAs and two conserved miRNAs with various levels of expression (from low to high) were chosen. Three newly discovered miRNAs in this study (Bta-miRn23, Bta-miRn61, and Bta-miRn88 in Table 2), three known B. tabaci-specific miRNAs (Bta-miRn46, Bta-miRn47, and Bta-miRn99 in Table S6), and two conserved miRNAs (miR-307 and miR-316 in Table S7) were selected for validation using poly(T) adaptor real-time RT-PCR [30]. Briefly, small RNAs were poly(A)-tailed and then reverse transcribed using a poly(T) adaptor primer, and PCR was performed using a miRNA-specific forward primer and poly(T) adaptor reverse primer (See methods and Table S5). All eight reverse-transcribed miRNAs generated a single Ct value with a uniform dissociation curve, and when PCR products were visualized on a 4% agarose gel using electrophoresis, predicted products of reverse transcribed miRNAs with ligated adaptor sequences migrated to the expected location of 63-67 nt ( Figure S2).

Predicted Targets for Novel and Conserved B. tabaci miRNAs
Predicting miRNA targets can be challenging because a single miRNA can have multiple targets and it can possess multiple functions, depending on the experimental conditions. We predicted targets for the identified miRNAs using miRanda [34]. All of the predicted target genes for each miRNA identified in this study are listed in Table S6. To obtain a high confidence miRNA target for each miRNA, we applied stringent filtering criteria. Candidate target genes had to possess an alignment score greater than or equal to 170, with a minimum free energy (MFE) less than −25 kcal/mol and a minimum alignment length greater than or equal to 15 nt. Based on these criteria, novel B. tabaci-specific miRNAs and their single target genes are presented in Table 2. Among the 17 highly expressed novel miRNAs (Table S4), several were predicted to target receptors, transcription factors, zinc finger proteins, centrosomal proteins, and proteins with unknown functions ( Table 2). Among the 48 conserved miRNAs that had RPM values greater than 10, several were predicted to target receptors, transporters, transcription factors, and Cytochrome P450 (Table S7).

Differentially Expressed miRNAs with a Potential Association with TYLCV Transmission
Further analysis revealed that only two miRNAs were differentially expressed in whiteflies that fed on TYLCV-infected tomato compared to whiteflies fed on uninfected tomato. The first miRNA, Bta-miRn23, was downregulated in whiteflies fed on TYLCV-infected tomato at 48 h (fold change = −3.13; p = 0.01) and its single predicted target was Bta05482, which encodes for a nuclear receptor. The second miRNA, miR-1-3p, was downregulated at 72 h in whiteflies fed on TYLCV-infected tomato (fold change = −1.52; p = 0.03) and its single predicted target was Bta10702, which encodes the very-long-chain (3R)-3-hydroxyacyl-CoA dehydratase 2 (Table 3). Although there were three additional miRNAs (miR-996, miR-219, and miR-iab-4) that had fold change values greater than 1.5, their differential expression was not statistically significant (Table 3)

Evaluating Potential Inverse Relationships Between miRNA and mRNA Expression under the Same Treatment
Since miRNAs identified in the present study originated from the same pool of RNA preparations that were used to generate whitefly gene expression profile data [13], we used these data sets to explore the relationships between miRNA expression and mRNA expression. For 13 novel miRNAs that had predicted targets and RPM values > 10,~50% of the miRNAs had inverse expression profiles with their predicted target transcripts ( Table 2). For example, Bta-miRn88 had a fold change value of −1.16, while the predicted target gene Bta07821 had a fold change value of 1.02 in whiteflies fed on TYLCV-infected tomato compared to whiteflies that fed on uninfected tomato (Table 2). Specifically, 6, 8, and 4 miRNAs (out of a total of 13 miRNAs) had inverse expression values with their predicted targets at 24 h, 48 h, and 72 h ( Table 2). The same trend was observed for all 160 miRNAs, such that 50% of the miRNAs had inverse expression profiles with their predicted target transcripts (Table S8).
Considering miRNA target prediction can be challenging, we then looked at the top five predicted target genes for each of the miRNAs that had a fold change value > 1.5 (Table S9) (Table S9).

Gene Ontology Assignments for Predicted miRNA Targets
The predicted single gene targets for all 66 conserved miRNAs and 94 B. tabaci-specific miRNAs were assigned gene ontology (GO) terms using Blast2GO (Figure 2). Among the GO terms that were most represented were organic substance metabolic process (19 target genes from 16 B. tabaci-specific miRNAs and three conserved miRNAs), cellular metabolic process (18 target genes from 15 B. tabaci-specific miRNAs and three conserved miRNAs), organic cyclic compound binding and hetero-/organic cyclic compound binding (each with 18 target genes from 12 B. tabaci-specific miRNAs and six conserved miRNAs), and intracellular (12 target genes from nine B. tabaci-specific miRNAs and three conserved miRNAs) (Figure 2). Two GO terms, single-organism cellular and single-organism metabolic processes, were represented by only B. tabaci-specific miRNAs ( Figure 2). The four miRNAs representing this category were Bta-miRn89, Bta-miRn40, Bta-miRn75, and Bta-miRn74, and had respective target genes, Bta12365 encoding an elongation of very long chain fatty acids protein, Bta00047 encoding a type II inositol-1,4,5-trisphosphate 5-phosphatase, Bta08249 encoding a thioredoxin M, and Bta08132 encoding a ribose-phosphate pyrophosphokinase 1. Insects 2020, 11, x FOR PEER REVIEW 9 of 13

Discussion
Tomato yellow leaf curl virus and other begomoviruses are exclusively transmitted by the B. tabaci in a persistent-circulative manner, such that once ingested by an adult whitefly, virions pass to the midgut, where they move across the midgut membrane to the hemolymph [5,35], and circulate back into the primary salivary glands, where they are egested with saliva during insect feeding [7,36,37]. By analyzing miRNA expression in the present study, and in reference to the relevant

Discussion
Tomato yellow leaf curl virus and other begomoviruses are exclusively transmitted by the B. tabaci in a persistent-circulative manner, such that once ingested by an adult whitefly, virions pass to the midgut, where they move across the midgut membrane to the hemolymph [5,35], and circulate back into the primary salivary glands, where they are egested with saliva during insect feeding [7,36,37].
By analyzing miRNA expression in the present study, and in reference to the relevant mRNA expression from our previous study [13], we gained insight into global gene expression and regulation of whitefly genes potentially associated with TYLCV transmission.
This report identified a total of 160 miRNAs in the whitefly B. tabaci MEAM1. When all 160 miRNAs were mapped to the B. tabaci MED genome [33], a high level of conservation between MEAM1 and MED was observed (93% of conserved miRNA families in B. tabaci MEAM1 mapped to MED and 96% of B. tabaci MEAM1-specific miRNAs mapped to MED). However, a few miRNAs were unique to B. tabaci MEAM1, suggesting possible differences in the miRNA regulatory mechanisms.
Among the 160 miRNAs, 66 were conserved among insects and 94 were specific to B. tabaci MEAM1. Further analysis revealed that the conserved miRNAs fell into 54 miRNA families and 67 of the 94 B. tabaci-specific miRNAs were newly identified in this study. The current study identified fewer conserved miRNAs than previous reports [17][18][19], which is likely due to differences in the parameters used. Specifically, conserved miRNAs were limited to the insect database in miRBase (http://www.miRBase.org/), which could have had a dramatic impact on the number of miRNAs identified. For example, analysis of the highly conserved let-7 family of miRNAs revealed that only a single isoform was identified from our study (let-7-5p), whereas up to eight isoforms (let-7, -7a-5p, -7b-5p, -7c-5p, -7d-5p, -7e-5p, -7f-5p, -7g) were identified in other studies [17,18]. Although the let-7 family is highly conserved, there is variation in the number of isoforms among animal species [38]. For example, only a single isoform of let-7 has been described in the nematode (Caenorhabditis elegans) and fruit fly (D. melanogaster) [38], and a manual search in miRBase (v.22, http://www.miRBase.org/) revealed that the presence of a single let-7 isoform extended to other insects including mosquito (A. aegypti), red flour beetle (T. castaneum), silkworm (B. mori), and pea aphid (Acyrthosiphon pisum). In contrast, higher animals such as fish and mammals have diverse let-7 family members, including let-7a, -7b, -7c, -7d, -7e, -7f, -7g, -7h, -7i, -7j, -7k [38], suggesting that additional let-7 isoforms identified in the previous studies may have been mapped to animals other than insects. This suggests that differences in the parameters used to identify conserved miRNAs in whiteflies may have contributed to the large differences in the total number of conserved miRNAs and total number of conserved miRNA families described in the current study.
In this study, small RNA libraries were prepared from the same pool of total RNAs isolated from whiteflies feeding on tomato plants either infected with TYLCV or non-infected controls, in which differential expression of mRNAs were evaluated using transcriptome analysis [13]. Therefore, we sought to characterize miRNA expression patterns with respect to the predicted target transcript expression. Surprisingly, only two miRNAs were differentially expressed (p < 0.05) and only five miRNAs had fold changes greater than 1.5 (p > 0.05) in whiteflies that fed on TYLCV-infected tomato versus uninfected tomato.
One possibility for observing very few changes in miRNA expression is that the expression of miRNAs occurs in a tissue-specific manner, as suggested in other insects [38] and, therefore, miRNAs were not captured during the sequencing of small RNAs isolated from whole-body whiteflies. Another possibility might have to do with the timing of virus acquisition and circulation in the whitefly body. Considering that whiteflies were allowed to feed on TYLCV-infected plants for different periods of time, virion ingestion and circulation could have varied between individual whiteflies, thus activating miRNA expression at different time points. This is supported by our finding that TYLCV acquisition was relatively slow, such that only 60% of the whiteflies tested positive for TYLCV at 24 h, while 100% of whiteflies tested positive for the virus at 48 h and 72 h post feeding [13]. Furthermore, when the miRNA expression data was referenced to the gene expression data, none of the predicted miRNA targets matched the genes that were differentially expressed in the transcriptome, suggesting that miRNA target prediction may be challenging. This is likely due to the nature of miRNA sequences, such that mismatches can occur between miRNAs and their targets, and a single miRNA can control many transcripts [39,40]. Therefore, further studies would be necessary to validate the targets experimentally.

Conclusions
Together with our earlier report on the analysis of differential gene expression in whiteflies fed on TYLCV-infected and uninfected tomato plants [13], in combination with the genome-wide profiling of piRNAs [32] and the miRNAs analysis in the present study, we have achieved a comprehensive insight into the possible genes and regulatory elements that might be involved or associated with acquisition, circulation, and transmission of a begomovirus, specifically TYLCV in the whitefly, B. tabaci. Overall, this study reports a suite of newly described whitefly B. tabaci-specific miRNAs and contributes to the growing knowledge of whitefly biology in association with begomovirus transmission. The identified differentially expressed miRNAs may serve as potential targets in designing new RNAi constructs to interfere with virus transmission by whiteflies.
Supplementary Materials: The following are available online at http://www.mdpi.com/2075-4450/11/9/562/s1, Figure S1: Predicted secondary structures for seven B. tabaci-specific miRNAs with various hairpins, Figure S2: RT-PCR validation of B. tabaci-specific and conserved miRNAs, Table S1: Summary of reads after trimming, filtering, and mapping to the whitefly genome, Table S2: Pearson's correlation coefficients for three biological replicates, Table S3: microRNAs found in B. tabaci MEAM1 and MED, Table S4: Novel miRNAs identified from this study with RPM > 10, Table S5: Primers used in this study, Table S6: All predicted targets for miRNAs identified in the current study, Table S7: Conserved miRNAs identified from this study with RPM > 10, Table S8: Fold change values for all 160 miRNAs and their predicted target genes in whiteflies fed on TYLCV-infected tomato, Table S9: Fold change values for miRNAs (fold change > 1.5 and RPM > 10) and their top five predicted target genes in whiteflies fed on TYLCV-infected tomato.