Cerebrovascular imaging in vivo by non-contact photoacoustic microscopy based on photoacoustic remote sensing with a laser diode for interrogation.

Photoacoustic microscopy (PAM) is a unique tool for biomedical applications because it can visualize optical absorption contrast in vivo. Recently, non-contact PAM based on non-interferometric photoacoustic remote sensing (PARS), termed PARS microscopy, has shown promise for selected imaging applications. A variety of superluminescent diodes (SLDs) have been employed in the PARS microscopy system as the interrogation light source. Here, we investigate the use of a low-cost laser diode (LD) as the interrogation light source in PARS microscopy, termed PARS-LD. A side-by-side comparison of PARS-LD and a PARS microscopy system using an SLD was conducted that showed comparable performance in terms of resolution and signal-to-noise ratio. More importantly, for the first time to our knowledge, in vivo PAM imaging of mouse brain vessels was conducted in a non-contact manner, and the results show that PARS-LD provides great performance.

Photoacoustic-fluorescence microendoscopy in vivo.

A miniature endoscope capable of imaging multiple tissue contrasts in high resolution is highly attractive, because it can provide complementary and detailed tissue information of internal organs. Here we present a photoacoustic (PA)-fluorescence (FL) endoscope for optical-resolution PA microscopy (PAM) and FL microscopy (FLM). The endoscope with a diameter of 2.8 mm achieves high lateral resolutions of 5.5 and 6.3 µm for PAM and FLM modes, respectively. In vivo imaging of zebrafish larvae and a mouse ear is conducted, and high-quality images are obtained. Additionally, in vivo endoscopic imaging of a rat rectum is demonstrated, showing the endoscopic imaging capability of our endoscope. By providing dual contrasts with high resolution, the endoscope may open up new opportunities for clinical endoscopic imaging applications.

Optomechanical Time-Gated Fluorescence Imaging Using Long-Lived Silicon Quantum Dot Nanoparticles.

We demonstrate a novel optomechanical synchronization method to achieve ultrahigh-contrast time-gated fluorescence imaging using live zebrafish as models. Silicon quantum dot nanoparticles (SiQDNPs) with photoluminescence lifetime of about 16 µs were used as the long-lived probes to enable background autofluorescence removal and multiplexing through time-gating. A continuous-wave 405 nm laser as the excitation source was focused on a rotating optical chopper on which the emission light beam obtained from an inverted fluorescence microscope was also focused but with a phase difference such that in a short delay after the excitation laser is blocked, the emission light beam passes through the optical chopper, initiating the image acquisition by a conventional sensor. Both excitation and detection time windows were synchronized by one optical chopper, eliminating the need for pulsed light source and image intensifier which is often used as ultrafast optical shutter. Through use of the cost-effective time-gating method, nearly all background autofluorescence emitted from the yolk sac of a zebrafish embryo microinjected with the SiQDNPs was removed, leading to a 45-fold increase in signal-to-background ratio. Furthermore, two kinds of fluorescence signals emitted from the microinjected SiQDNPs and the intrinsic green fluorescent protein of transgenic zebrafish larvae can be clearly separated through time-gating.

Analysis of apolipoprotein multigene family in spotted sea bass (Lateolabrax maculatus) and their expression profiles in response to Vibrio harveyi infection.

Apolipoproteins (Apos), which are the protein components of plasma lipoproteins, play important roles in lipid transport in vertebrates. It has been demonstrated that in teleosts, several Apos display antimicrobial activity and play crucial roles in innate immunity. Despite their importance, apo genes have not been systematically characterized in many aquaculture fish species. In our study, a complete set of 23 apo genes was identified and annotated from spotted sea bass (Lateolabrax maculatus). Phylogenetic and homology analyses provided evidence for their annotation and evolutionary relationships. To investigate their potential roles in the immune response, the expression patterns of 23 apo genes were determined in the liver and intestine by qRT-PCR after Vibrio harveyi infection. After infection, a total of 20 differentially expressed apo genes were observed, and their expression profiles varied among the genes and tissues. 5 apo genes (apoA1, apoA4a.1, apoC2, apoF and apoO) were dramatically induced or suppressed (log2 fold change >4, P < 0.05), suggesting their involvement in the immune response of spotted sea bass. Our study provides a valuable foundation for future studies aimed at uncovering the specific roles of each apo gene during bacterial infection in spotted sea bass and other teleost species.

Corrugated-Diaphragm Based Fiber Laser Hydrophone with Sub-100 µPa/Hz1/2 Resolution.

In this work, a beat-frequency encoded fiber laser hydrophone is developed for high-resolution acoustic detection by using an elastic corrugated diaphragm. The diaphragm is center-supported by the fiber. Incident acoustic waves deform the diaphragm and induce a concentrated lateral load on the laser cavity. The acoustically induced perturbation changes local optical phases and frequency-modulates the radio-frequency beat signal between two orthogonal lasing modes of the cavity. Theoretical analysis reveals that a higher corrugation-depth/thickness ratio or larger diaphragm area can provide higher transduction efficiency. The experimentally achieved average sensitivity in beat-frequency variation is 185.7 kHz/Pa over a bandwidth of 1 kHz. The detection capability can be enhanced by shortening the cavity length to enhance the signal-to-noise ratio. The minimum detectable acoustic pressure reaches 74 µPa/Hz1/2 at 1 kHz, which is comparable to the zeroth order sea noise.

Improving the computational efficiency of fully Bayes inference and assessing the effect of misspecification of hyperparameters in whole-genome prediction models.

BACKGROUND: The reliability of whole-genome prediction models (WGP) based on using high-density single nucleotide polymorphism (SNP) panels critically depends on proper specification of key hyperparameters. A currently popular WGP model labeled BayesB specifies a hyperparameter π, that is `loosely used to describe the proportion of SNPs that are in linkage disequilibrium (LD) with causal variants. The remaining markers are specified to be random draws from a Student t distribution with key hyperparameters being degrees of freedom v and scale s(2). METHODS: We consider three alternative Markov chain Monte Carlo (MCMC) approaches based on the use of Metropolis-Hastings (MH) to estimate these key hyperparameters. The first approach, termed DFMH, is based on a previously published strategy for which s(2) is drawn by a Gibbs step and v is drawn by a MH step. The second strategy, termed UNIMH, substitutes MH for Gibbs when drawing s(2) and further collapses or marginalizes the full conditional density of v. The third strategy, termed BIVMH, is based on jointly drawing the two hyperparameters in a bivariate MH step. We also tested the effect of misspecification of s(2) for its effect on accuracy of genomic estimated breeding values (GEBV), yet allowing for inference on the other hyperparameters. RESULTS: The UNIMH and BIVMH strategies had significantly greater (P < 0.05) computational efficiencies for estimating v and s(2) than DFMH in BayesA (π = 1) and BayesB implementations. We drew similar conclusions based on an analysis of the public domain heterogeneous stock mice data. We also determined significant drops (P < 0.01) in accuracies of GEBV under BayesA by overspecifying s(2), whereas BayesB was more robust to such misspecifications. However, understating s(2) was compensated by counterbalancing inferences on v in BayesA and BayesB, and on π in BayesB. CONCLUSIONS: Sampling strategies based solely on MH updates of v and s(2), and collapsed representations of full conditional densities can improve the computational efficiency of MCMC relative to the use of Gibbs updates. We believe that proper inferences on s(2), v and π are vital to ensure that the accuracy of GEBV is maximized when using parametric WGP models.

[Development and assessment of a dry eye questionnaire applicable to the Chinese population].

OBJECTIVE: To develop and assess a new dry eye questionnaire applicable to the Chinese population. METHODS: Based on literature review and clinical practice, a dry eye questionnaire was developed and optimized to apply to Chinese dry eye patients in the language expression and culture background. Participants (78 patients with dry eye and 82 controls) completed the dry eye questionnaire and the ocular surface disease index (OSDI) questionnaire, and ophthalmic examinations were performed, including slit lamp examination, tear breakup time, fluorescein staining, Schirmer I test and meibomian gland assessment. The original questionnaire was optimized with factor analysis according to the answers from respondents and clinical evaluations. The Cronbach α and intraclass correlation coefficient (ICC) were used to evaluate the internal consistency reliability and test-retest reliability. Factor analysis was used to assess the construct validity, concurrent validity was obtained by Spearman correlation analysis, and discriminant validity was obtained by ANOVA and Wilcoxon rank sum test. Receiver operator characteristics curves were generated to identify the sensitivity and specificity of each questionnaire for diagnosis of dry eye. RESULTS: The questionnaire was optimized to 12 items by factor analysis. The response rate from respondents to the dry eye questionnaire and the OSDI was 100% and 91.25%, respectively. The Cronbachαof the dry eye questionnaire and the OSDI was 0.794 and 0.925, respectively, whilst the ICC of both questionnaires was 0.99, indicating good to excellent reliability. The factor analysis suggested that these two questionnaires had good construct validity. The Spearman correlation analysis indicated that the dry eye questionnaire score correlated positively with the OSDI score (r = 0.812, P < 0.01) and had a greater correlation relationship with the clinical evaluations compared with the OSDI score (r for each was 0.613 and 0.605, P < 0.01). The discriminant validity analysis suggested that there was significant difference in the dry eye questionnaire score between the dry eye group and non-dry eye group (P < 0.01). When the dry eye questionnaire score of 7 was used as the diagnostic threshold, the sensitivity and specificity were 83.33% and 70.73%, respectively, and the area under roc curve was 0.814, which was higher than 0.772 of the OSDI (P < 0.01). CONCLUSION: The dry eye questionnaire we developed is applicable to the Chinese population with Chinese culture characteristics, high reliability, validity, specificity, and sensitivity, and holds a better diagnostic value than the OSDI for Chinese patients with dry eye.

[Emphasizing the clinical investigation of dry eye].

In the past twenty years, with the rapid development of dry eye research in China, significant progresses have been achieved and there has been a remarkable improvement in diagnostic rate and clinical outcomes. Publication and popularization of the clinical diagnosis and treatment recommendations for dry eye from consensus of expert advice provides criteria for clinical work of dry eye. There has still been a significant gap between our research and world's advanced level in dry eye, therefore clinical investigations of high level will be intensively promoted to reveal the epidemiologic and clinical characteristics of dry eye populations in China, and establish the diagnostic criteria for Chinese patients, develop the clinical research on dry eye drugs and home-made clinical devices. Based on evidence-based research evidences, criteria for diagnosis and treatment of dry eye will be established and the clinical investigation of dry eye will be developed to reach the world's advanced level.

LAMP Assay as a Rapid Identification Technique of Chinese Citrus Fly and Japanese Orange Fly (Diptera: Tephritidae).

Bactrocera tsuneonis and Bactrocera minax are the most destructive pests that damage citrus in China. These key pests hinder the citrus trade, cause significant financial losses, drastically lower citrus production and quality, and decrease farmer enthusiasm for citrus planting. Bactrocera minax and B. tsuneonis are very similar in all life stages. There are limited morphological characteristics to differentiate the adult species, and it is nearly impossible to differentiate these two species in the egg and larval stages. Loop-mediated isothermal amplification (LAMP) is a rapid and robust diagnostic tool used to identify these two species accurately. We designed two sets of primers to distinguish B. minax and B. tsuneonis using DNA barcoding region of the COI gene. Only 50 min was needed under a constant temperature of 65ºC to determine the species of the two flies. The reaction system has high specificity and sensitivity, in which these two species can be accurately distinguished between different geographical populations and 1.0 ng/µL was the lowest DNA concentration that could be detected. Our primers can quickly identify these key pests without knowing their morphology, which could facilitate plant protection workers at the primary level to solve problems in plant quarantine.

Miniature Probe for Optomechanical Focus-Adjustable Optical-Resolution Photoacoustic Endoscopy.

Photoacoustic microscopy (PAM) is a promising imaging modality because it is able to reveal optical absorption contrast in high resolution on the order of a micrometer. It can be applied in an endoscopic approach by implementing PAM into a miniature probe, termed photoacoustic endoscopy (PAE). Here we develop a miniature focus-adjustable PAE (FA-PAE) probe characterized by both high resolution (in micrometers) and large depth of focus (DOF) via a novel optomechanical design for focus adjustment. To realize high resolution and large DOF in a miniature probe, a 2-mm plano-convex lens is specially adopted, and the mechanical translation of a single-mode fiber is meticulously designed to allow the use of multi-focus image fusion (MIF) for extended DOF. Compared with existing PAE probes, our FA-PAE probe achieves high resolution of [Formula: see text] within unprecedentedly large DOF of 3.2 mm, more than 27 times the DOF of the probe without performing focus adjustment for MIF. The superior performance is first demonstrated by imaging both phantoms and animals including mice and zebrafish in vivo by linear scanning. Further, in vivo endoscopic imaging of a rat's rectum by rotary scanning of the probe is conducted to showcase the capability of adjustable focus. Our work opens new perspectives for PAE biomedical applications.

Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure.

Soot formation models become increasingly important in advanced renewable fuels formulation for soot reduction benefit. This work evaluates performance of machine learning (ML) and deep learning (DL) to predict yield sooting index (YSI) from chemical structure and proposes a tailor-made convolution neural network (CNN)-SDSeries38 for regression problem. In ML, a novel quantitative structure-property relationship (QSPR) is developed for feature extraction and the relationship between molecular structure and YSI is built by ML algorithm. In DL, SDSeries38 contains 9 feature learning modules, 1 regression module for automated feature learning and regression. It adopts standard series network architecture and modular structure, each feature learning module is a stack of convolution, batch normalization, activation, pooling layers. ML-QSPR model outperforms SDSeries38 in accuracy (RMSE = 7.563 vs 19.58), computational speed and the former applies to fuel mixtures. In DL, SDSeries38 network exceeds 10 classical CNN and provides a generic architecture enabling transfer application to other regression problem. DL application to regression is still in its infancy and there is no complete guide on how to develop specific CNN architectures for regression. Some gaps need to be filled: (1) Specially developed CNN architectures for regression are required; (2) The performances of direct transfer learning the classical CNN architectures from classification to regression are modest. A modular structure with typical function modules may provide an ideal solution; (3) Going deeper into the sequence of convolution layers improves predictive accuracy, but bears in mind to keep the number of layers below the threshold to avoid vanishing gradient.

Genome-Wide Analysis of Alternative Splicing (AS) Mechanism Provides Insights into Salinity Adaptation in the Livers of Three Euryhaline Teleosts, including Scophthalmus maximus, Cynoglossus semilaevis and Oncorhynchus mykiss.

Salinity is an important environmental factor that directly affects the survival of aquatic organisms, including fish. However, the underlying molecular mechanism of salinity adaptation at post-transcriptional regulation levels is still poorly understood in fish. In the present study, 18 RNA-Seq datasets were utilized to investigate the potential roles of alternative splicing (AS) in response to different salinity environments in the livers of three euryhaline teleosts, including turbot (Scophthalmus maximus), tongue sole (Cynoglossus semilaevis) and steelhead trout (Oncorhynchus mykiss). A total of 10,826, 10,741 and 10,112 AS events were identified in the livers of the three species. The characteristics of these AS events were systematically investigated. Furthermore, a total of 940, 590 and 553 differentially alternative splicing (DAS) events were determined and characterized in the livers of turbot, tongue sole and steelhead trout, respectively, between low- and high-salinity environments. Functional enrichment analysis indicated that these DAS genes in the livers of three species were commonly enriched in some GO terms and KEGG pathways associated with RNA processing. The most common DAS genes work as RNA-binding proteins and play crucial roles in the regulation of RNA splicing. The study provides new insights into uncovering the molecular mechanisms of salinity adaptation in teleosts.

Investigation of nonlinear photoacoustic microscopy using a low-cost infrared lamp.

Nonlinear photoacoustic microscopy (PAM) is a novel approach to enhance contrast and resolution. In this study, a low-cost infrared (IR) lamp as a simple approach for nonlinear PAM is demonstrated. Numerical simulations are first performed to verify the nonlinear photoacoustic effect under steady heating for two cases: (a) Differentiation of absorbers with different Grüneisen coefficients; (b) enhancement of photoacoustic amplitude. Then, sets of experiments are conducted to experimentally demonstrate our proposed approach: (a) Longitudinal monitoring of photoacoustic A-line signals from two samples, porcine tissue ex vivo and hemoglobin and indocyanine green (ICG) solutions in tubes in vitro for demonstrating the above-mentioned two cases; (b) PAM imaging of hemoglobin and ICG solutions in tubes before and after IR lamp heating. Different signal change and amplitude enhancement are observed in different demonstrations, showing the efficacy of the proposed approach. By virtue of cost-effectiveness and decent performance, our work facilitates nonlinear PAM studies.

Characterization of immune microenvironment infiltration and m6A regulator-mediated RNA methylation modification patterns in osteoarthritis.

Background: Few studies have been reported the potential role of N6-methyladenosine (m6A) modification in osteoarthritis (OA). We investigated the patterns of m6A modification in the immune microenvironment of OA. Methods: We evaluated the m6A modification patterns based on 22 m6A regulators in 139 OA samples and systematically associated these modification patterns with immune cell infiltration characteristics. The function of m6A phenotype-related differentially expressed genes (DEGs) was investigated using gene enrichment analysis. An m6A score model was constructed using principal component analysis (PCA), and an OA prediction model was established based on the key m6A regulators. We used real-time PCR analysis to detect the changes of gene expression in the cell model of OA. Results: Healthy and OA samples showed significant differences in the expression of m6A regulators. Nine key m6A regulators, two m6A modification patterns, m6A-related genes and two gene clusters were identified. Some m6A regulators had a strong correlation with each other. Gene clusters and m6A clusters have high similarity, and cluster A corresponds to a high m6A score. Immunocytes infiltration differed significantly between the two clusters, with the m6A cluster B and gene cluster B having more types of infiltrating immunocytes than cluster A. The predictive model can also predict the progression of OA through m6A regulators expression. The results of real-time PCR analysis showed that the gene expression in the cell model of OA is similar to that of the m6A cluster B. Conclusions: Our study reveals for the first time the potential regulatory mechanism of m6A modification in the immune microenvironment of OA. This study also sheds new light on the pathogenesis of OA.

Dynamic transcriptome and LC-MS/MS analysis revealed the important roles of taurine and glutamine metabolism in response to environmental salinity changes in gills of rainbow trout (Oncorhynchus mykiss).

Recently, the frequent salinity fluctuation has become a growing threat to fishes. However, the dynamic patterns of gene expression in response to salinity changes remain largely unexplored. In the present study, 18 RNA-Seq datasets were generated from gills of rainbow trout at different salinities, including 0 ‰, 6 ‰, 12 ‰, 18 ‰, 24 ‰ and 30 ‰. Based on the strict thresholds, we have identified 63, 1411, 2096, 1031 and 1041 differentially expressed genes in gills of rainbow trout through pairwise comparisons. Additionally, weighted gene co-expression network analysis was performed to construct 18 independent modules with distinct expression patterns. Of them, green and tan modules were found to be tightly related to salinity changes, several hub genes of which are known as the important regulators in taurine and glutamine metabolism. To further investigate their potential roles in response to salinity changes, taurine, glutamine, and their metabolism-related glutamic acid and α-ketoglutaric acid were accurately quantitated using liquid chromatography-tandem mass spectrometry analysis. Results clearly showed that their concentrations were closely associated with salinity changes. These findings suggested that taurine and glutamine play important roles in response to salinity changes in gills of rainbow trout, providing new insights into the molecular mechanism of fishes in salinity adaptation.

Label-free photoacoustic microscopy: a potential tool for the live imaging of blood disorders in zebrafish.

The zebrafish has emerged as a useful model for human hematological disorders. Transgenic zebrafish that express green fluorescence protein (GFP) in red blood cells (RBCs) visualized by fluorescence microscopy (FLM) is a fundamental approach in such studies to understand the cellular processes and biological functions. However, additional and cumbersome efforts are required to breed a transgenic zebrafish line with reliable GFP expression. Further, the yolk autofluorescence and finite GFP fluorescence lifetimes also have an adverse impact on the observation of target signals. Here, we investigate the identification of intracerebral hemorrhage (ICH) and hemolytic anemia (HA) in zebrafish embryos using label-free photoacoustic microscopy (PAM) for imaging. First, ICH and HA in transgenic LCR-EGFP zebrafish are mainly studied by PAM and FLM. The results show that PAM is comparable to FLM in good identification of ICH and HA. Besides, PAM is more advantageous in circumventing the issue of autofluorescence. Secondly, ICH and HA in the transparent casper zebrafish without fluorescent labeling are imaged by PAM and bright-field microscopy (BFM). Because of the high contrast to reveal RBCs, PAM obviously outperforms BFM in the identification of both ICH and HA. Note that FLM cannot observe casper zebrafish due to its lack of fluorescent labeling. Our work proves that PAM can be a useful tool to study blood disorders in zebrafish, which has advantages: (i) Reliable results enabled by intrinsic absorption of RBCs; (ii) wide applicability to zebrafish strains (no requirement of a transgene); (iii) high sensitivity in identification of ICH and HA compared with BFM.

Alternative splicing (AS) mechanism plays important roles in response to different salinity environments in spotted sea bass.

Salinity represents a critical environmental factor for fishes, and it can directly influence their survival. Transcriptomic analysis at the gene expression level has been extensively conducted to identify functional genes or pathways involved in salinity adaptation in numerous euryhaline fishes. However, the post-transcriptional regulation mechanism in response to salinity changes remains largely unknown. Alternative splicing (AS), the main mechanism accounting for the complexity of the transcriptome and proteome in eukaryotes, plays essential roles in determining organismal responses to environmental changes. In this study, RNA-Seq datasets were used to examine the AS profiles in spotted sea bass (Lateolabrax maculatus), a typical euryhaline fish species. The results showed that 8618 AS events were identified in spotted sea bass. Furthermore, a total of 501 and 162 differential alternative splicing (DAS) events were characterized in the gill and liver under low- and high-salinity environments, respectively. Based on GO enrichment results, DAS genes in both the gill and liver were commonly enriched in 8 GO terms, and their biological functions were implicated in many stages of gene expression regulation, including transcriptional regulation and post-transcriptional regulation. Sanger sequencing and qPCR validations provided additional evidence to ensure the accuracy and reliability of our bioinformatic results. This is the first comprehensive view of AS in response to salinity changes in fish species, providing insights into the post-regulatory molecular mechanisms of euryhaline fishes in salinity adaptation.

Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zeros.

Phenotypes measured in counts are commonly observed in nature. Statistical methods for mapping quantitative trait loci (QTL) underlying count traits are documented in the literature. The majority of them assume that the count phenotype follows a Poisson distribution with appropriate techniques being applied to handle data dispersion. When a count trait has a genetic basis, "naturally occurring" zero status also reflects the underlying gene effects. Simply ignoring or miss-handling the zero data may lead to wrong QTL inference. In this article, we propose an interval mapping approach for mapping QTL underlying count phenotypes containing many zeros. The effects of QTLs on the zero-inflated count trait are modelled through the zero-inflated generalized Poisson regression mixture model, which can handle the zero inflation and Poisson dispersion in the same distribution. We implement the approach using the EM algorithm with the Newton-Raphson algorithm embedded in the M-step, and provide a genome-wide scan for testing and estimating the QTL effects. The performance of the proposed method is evaluated through extensive simulation studies. Extensions to composite and multiple interval mapping are discussed. The utility of the developed approach is illustrated through a mouse F(2) intercross data set. Significant QTLs are detected to control mouse cholesterol gallstone formation.

Characterization of Full-Length Transcriptome Sequences and Splice Variants of Lateolabrax maculatus by Single-Molecule Long-Read Sequencing and Their Involvement in Salinity Regulation.

Transcriptome complexity plays crucial roles in regulating the biological functions of eukaryotes. Except for functional genes, alternative splicing and fusion transcripts produce a vast expansion of transcriptome diversity. In this study, we applied PacBio single-molecule long-read sequencing technology to unveil the whole transcriptome landscape of Lateolabrax maculatus. We obtained 28,809 high-quality non-redundant transcripts, including 18,280 novel isoforms covering 8,961 annotated gene loci within the current reference genome and 3,172 novel isoforms. A total of 10,249 AS events were detected, and intron retention was the predominant AS event. In addition, 1,359 alternative polyadenylation events, 3,112 lncRNAs, 29,609 SSRs, 365 fusion transcripts, and 1,194 transcription factors were identified in this study. Furthermore, we performed RNA-Seq analysis combined with Iso-Seq results to investigate salinity regulation mechanism at the transcripts level. A total of 518 transcripts were differentially expressed, which were further divided into 8 functional groups. Notably, transcripts from the same genes exhibited similar or opposite expression patterns. Our study provides a comprehensive view of the transcriptome complexity in L. maculatus, which significantly improves current gene models. Moreover, the diversity of the expression patterns of transcripts may enhance the understanding of salinity regulatory mechanism in L. maculatus and other euryhaline teleosts.

New Species-Specific Primers for Molecular Diagnosis of Bactrocera minax and Bactrocera tsuneonis (Diptera: Tephritidae) in China Based on DNA Barcodes.

Tephritidae fruit flies (Diptera: Tephritidae) are regarded as important damage-causing species due to their ability to cause great economic losses in fruit and vegetable crops. Bactrocera minax and Bactrocera tsuneonis are two sibling species of the subgenus Tetradacus of Bactrocera that are distributed across a limited area of China, but have caused serious impacts. They share similar morphological characteristics. These characteristics can only be observed in the female adult individuals. The differences between them cannot be observed in preimaginal stages. Thus, it is difficult to distinguish them in preimaginal stages morphologically. In this study, we used molecular diagnostic methods based on cytochrome c oxidase subunit I and species-specific markers to identify these two species and improve upon the false-positive results of previous species-detection primers. DNA barcode sequences were obtained from 900 individuals of B. minax and 63 individuals of B. tsuneonis. Based on these 658 bp DNA barcode sequences of the cytochrome c oxidase subunit I gene, we successfully designed the species-specific primers for B. minax and B. tsuneonis. The size of the B. minax specific fragment was 422 bp and the size of the B. tsuneonis specific fragment was 456 bp. A series of PCR trials ensured the specificity of these two pairs of primers. Sensitivity assay results demonstrated that the detection limit for the DNA template concentration was 0.1~1 ng/µL for these two species. In this study, we established a more reliable, rapid, and low-cost molecular identification method for all life stages of B. minax and B. tsuneonis. Species-specific PCR can be applied in plant quarantine, monitoring and control of B. minax and B. tsuneonis.