• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Reveal the Population Genetic Characteristics of Bombay Duck (Harpadon nehereus) in Coastal Waters of China with Genotyping-by-Sequencing Technique

    2022-10-24 06:09:56YANGTianyanHUANGXinxinandJIANGYanlin
    Journal of Ocean University of China 2022年5期

    YANG Tianyan, HUANG Xinxin, and JIANG Yanlin

    Reveal the Population Genetic Characteristics of Bombay Duck () in Coastal Waters of China with Genotyping-by-Sequencing Technique

    YANG Tianyan1), 2), *, HUANG Xinxin1), and JIANG Yanlin1)

    1),,316022,2),,316022,

    Bombay duck () is an economically important species in the estuarine and coastal offshore waters of the Indo-West Pacific. This study aims to reveal the genome-wide genetic characteristics of five populations offrom the coastal areas of China by using the genotyping-by-sequencing technique. Afterstrictfiltering,32088 high-quality single-nucleotide polymorphism markers were detected and analyzed. The average observed heterozygosity and expected heterozygosity ranged from 0.41651 to 0.56725 and from 0.30998 to 0.45531, respectively, indicating that heterozygosity excess occurred inpopula- tions. The nucleotide diversity ranged from 0.63664 to 0.74868, which was larger than those from other marine fishes. No obvious genetic structure was detected amongpopulations, and the genetic variation originated within individuals. Extensive gene exchange caused by longshore currents in the reproductive season might be the primary reason for the weak genetic differentia- tion. Among various environmental factors, water temperature might be the key element affecting the genetic structure of. Due to the destruction and overfishing of spawning grounds, the fishery resources declined in recent years. This study could serve as a reference for the resource protection and rational utilization of

    ; genotyping-by-sequencing; population genetics; single-nucleotide polymorphisms

    1 Introduction

    Bombay duck (Hamilton, 1822) be- longs to Synodontidae, and is a commercially importantfish that is widely distributed in the neritic waters (less than 50m) and estuarine areas of the Western Indo-Pacific Ocean (Nelson, 2016). In China,main- ly inhabits from the Yellow Sea to the South China Sea(Chen and Zhang, 2015). As a familiar lizardfish with eco- nomic value in China, Pakistan, and India,is favored by consumers because of its delicate, delicious, and nutrient-rich meat. It is susceptible to spoilage because of the high moisture content (90%) of fresh meat. The fried fish is a famous dish known as ‘Dried bummelo’ in China, and ‘Bombil fry’ in the western coastal areas of India.

    Given the increasingly prominentissues of marine en-vironmental degradation and traditional fisheryresourceshortages since the 1980s, the proportion of annual yield for small and medium-sized fishes represented byhas increased consistently. According to FAO fishery statistics, the global landing of Bombay duck reached280000t in 2008. In India, it was the most abundant on the west coast of Maharashtra and Gujarat, and the catch of this fish contributed approximately 9.6% of all marine fish(Jaiswar and Chakraborty, 2016). The average landing catch was 66t at the Karachi Fish Harbor, and the maxi- mum catch was recorded to be 101t in 1996 (Kalhoro., 2013). The estimated biomass ofwas 2125t in the East China Sea, and the potential biomass could surpass5000t or more (Lin, 2009). Nowadays,has be- come an important commercial catch along the southeast coast of China and the Bay of Bengal region and has gra- dually become a key species in the food chain of the coas- tal ecosystem (Kurian and Kurup, 1992; Lin, 2009; Mohan- raj., 2009; Pan, 2013; Yang., 2013). With the increase in fishing pressure of, thefish caught have become smaller and younger in recent years, indicating that the stock ofis overexploited (Chen., 2012; Nugroho., 2015; Jaiswar and Cha- kraborty, 2016).Nowadays,has been added to ‘The IUCN Red List of Threatened Species’ as a near-threatened (NT) species (https://www.iucnredlist.org/spe- cies/75143569/75144431) (Russell., 2019). Previous studies onmainly focused on the areas of stockdynamic and assessment (Khan, 1989; Kurian and Kurup, 1992; Ghosh., 2009; Kalhoro., 2013), fishery bio- logical characteristics (Luo., 2012; Ghosh, 2014;Zhang and Jin, 2014; Hasin, 2016; He., 2019; Taqwa., 2020), morphologicalmeasurement and description (Ku- mar., 2014; Pazhayamadom., 2015; Firdaus., 2018), and meat quality and safety (Rupsankar, 2010; Pra-vakar., 2013; Bhattacharya., 2016). The genetic variation and population structure of the species remained poorly understood.

    The genetic diversity of marine fish populations consi- derably affects their dynamics, and understanding the po- pulation genetic structure is crucial to the scientific pro-tection and effective management of marine fishery re- sources (Carvalho, 2004; Johnson., 2016). Scientific investigation on the population genetic background must be conducted to avoid the degeneration of germplasm re- sources and realize the sustainable utilization ofresources. Population genetics focuses on the genetic composition and diversity of populations, including gene- tic drift, mutation, and gene flow (Gillespie, 1998). It is helpful to understand the relationships among speciation, adaptive evolution, population dynamics, and environment.With the development of inshore fishery resources ma- nagement, studies on population structure and genetic va- riation based on genomic DNA have attracted considerable attention in recent decades (Carvalho and Hauser, 1998).Over the past years, several PCR-based DNA molecular markers have been applied to detect the geneticcharacte- ristics of; these markers include simple se- quence repeats (Xu, 2011),sequence-related ampli- fied polymorphisms (Zhu., 2014), and mitochondrial markers (Zhang., 2013; Zhang., 2018; Guo.,2019; Saha., 2019; Jiang., 2020). The above stu- dies undeniably accumulated valuable references for fur- ther investigations of genetic background. However, tradi-tional molecular biotechnology has limited power to revealcomplex genetic information. Meanwhile, the rapid deve- lopment of next-generation sequencing (NGS) holds a greatpromise for studying genetic diversity and evolutionary his- tory at the genome-wide level.

    Genotyping-by-sequencing (GBS) is a relatively low- cost, high-throughput genotyping approach for sequenc- ing large genomes in diverse organisms, and it has become one of the most widely used reduced-representation genome sequencing methods. It relies on restriction enzymes to re- duce genome complexity and performs genetic analysis or genotyping based on the single-nucleotide polymorphism (SNP) marker system (Elshire., 2011). As a cost-ef- fective and unique tool for population genetics and geno- mics-assisted breeding in the absence of reference genomedata, the GBS approach has been increasingly used in fish- eries and aquaculture (Li and Wang, 2017). In the present study, we adopted the GBS strategy to analyze the popul- ation diversity and structure ofin the coastal waters of China. This study could serve as a reference for the exploitation and utilization ofresources.

    2 Materials and Methods

    2.1 Sample Collection and DNA Extraction

    Forty-three specimens were collected between July 2018 and September 2019 from north to south along China’s coastline. The sampling information is shown in Table 1 and Fig.1. Fresh muscles were preserved in anhydrous ethanol and stored at ?20℃ for further experiments.

    Fig.1 Sample collection locations of H. nehereus. Capital letters in brackets mean the abbreviations of sampling lo- cations.

    Table 1 Sampling information of different populations

    Genomic DNA was extracted from muscle tissues usinga standard phenol-chloroform method (Sambrook., 1982). The integrity of DNA was first observed by 1.0% agarose gel electrophoresis. Then, DNA purity (OD260/OD280ratio) and concentration were detected on a Nano-Drop 2000 spectrophotometer (Thermo Scientific, Waltham, MA, USA) and a Qubit 2.0 fluorometer (Invitrogen, Carls- bad, CA, USA), respectively. The qualified DNA precipita- tion was dissolved in sterilized ddH2O for subsequent li- brary construction.

    2.2 GBS Library Construction and High-Throughput Sequencing

    Two restriction endonucleases (and) were selected to digest the genome DNA (0.1–1μg) in compre- hensive consideration of the genomic coverage and base repetition ratio.The P1 adapter with a forward amplifica- tion primer, a sequencing primer, and a barcode was add- ed to enzyme digestion products. Then, a P2 adapter was added to the pooled and sheared DNA fragments. The adap-tor-ligated DNA sequences were amplified using polymerasechain reaction (PCR). The PCR products were obtained using the AxyPrep DNA gel extraction kit (AxyGEN, CA, USA), and the final concentration was adjusted to 1ngμL?1for later use. Agilent 2100 was applied to detect the insert sizes, and qPCR was used to quantify the effective con- centration of the libraries (effective concentration>2nm).

    The required fragments were selected for library cons- truction. Individuals from each sampling site were pooled into one library, and the pooled libraries were sequenced based on the Illumina HiseqTM2500 sequencing platform with the 150-paired-end sequencing strategy. GBS librariesand sequencing were carried out by Novogene Co., Ltd. (Beijing, China).

    2.3 Quality Control and Data Processing

    Paired-end sequencing reads were trimmed of adapter sequences by Cutadapt 1.2.1 (Martin, 2011) and analyzed for quality using FastQC 0.11.7 (http://www.bioinforma-tics.babraham.ac.uk/projects/fastqc/). Meanwhile, the ob-tained sequences were evaluated for contamination by Blast+ (e-value≤1e?10, similarity>90% and coverage>80%).The loci of each sample were identified using the ‘ustacks’program in Stacks 1.0 (Catchen, 2013) and subsequent- ly merged into a catalog using the ‘cstacks’ program. Theloci data were matched against the catalog using ‘sstacks’ pro- gram for determining the allele status in each sample.

    High-quality sequencing data were mapped to the re- ference genome by BWA (Burrows-Wheeler Aligner) soft- ware with the settings mem ‘-t 4 -k 32 -M, ’ where -t pre- sents the number of threads, -k presents the minimum seed length, and -M presents the option to flag shorter split hits as secondary alignments (Li and Durbin, 2010). The align- ment reads in SAM formatwere extracted and converted into BAM format and then sorted according to genomic positions by SAMtools with a maximum of 1000 reads at a position per BAM file (Li., 2009).

    2.4 SNP Calling and Genome-Wide Genetic Variation Detection

    SNP refers to the DNA sequence polymorphism caused by single-nucleotide variation at the genomic level, includ- ing single-base transition/transversion,single-base deletions, and single-base insertions. SNP calling was implemented using the ‘mpileup’ function of SAMtools (Li., 2009). Population genetic parameters, including the expected he- terozygosity (), observed heterozygosity (), nucleo- tide diversity (), and pairwiseST, were calculated for every SNP using the population program in Stacks. Gene- tic variation within and among populations was estimated with an analysis of molecular variance (AMOVA) in Arle- quin 3.5 (Excoffier and Lischer, 2010).

    2.5 Assessment of Population Structure, Phylogeny, and Environmental Adaption

    Vcftools waspreviously used to convert vcf file to bi- nary ped format, the input file format of Plink (Purcell., 2007), and then the population genetic structure was in- vestigated by Frappe software package (Tang., 2005) with the filtering settings ‘Dp1-miss0.9-maf0’. Principal component analysis (PCA) was carried out using the PCA module in GCTA (http://cnsgenomics.com/software/gcta/ pca.html), and R software was used to draw a PCA scatter plot. The-distance matrix was built by TreeBest (http:// treesoft.sourceforge.net/treebest.shtml).On this basis, the neighbor-joining (NJ) phylogenetic tree of the 43 indivi- duals was constructed using MEGA 6 (Tamura., 2013). The confidence levels at the branch nodes in the tree were calculated from 1000 bootstrap replications.

    The interrelation between genetic variation and two ma-jor environmental factors (salinity and temperature) was investigated. The Bayesian approach was applied as im- plemented in Bayenv on all SNPs to remove outliers (Coop., 2010). The salinity and temperature data (from 2005 to now) were retrieved from the National Oceanic and At- mospheric Administration website (https://oceanwatch.pifsc. noaa.gov/doc.html).LFMM 2.0 (Kevin., 2019) was applied to analyze the association between environmental factors and selected loci. TheBonferroni correction at the significance level of 0.05 was performed to screen SNPs withvalues higher than 5(<0.01).

    3 Results

    3.1 GBS Data and SNP Detecting

    High-quality data are the precondition for subsequent analysis. In this study, 24.03Gb clean data were generatedafter strict filtrationand normalization, with an average of 558.75Mb clean data per sample. The mean GC content ranged from 39.16% to 41.84%, and the average Q20 and Q30 were 96.35% and 90.57%, respectively, representing the lower base error ratio and normal distribution of GC content. The number of clean reads mapped to the refe- rence genome was 85521206 with the mapping rate rang- ing from 77.22% to 90.35%.

    An average of 2728880 tags per individual was gained with a mean sequencing depth of 10.7× after the BWA alignment to the reference genome. After SNP calling and filtering, 32088 high-quality SNPs were obtained for sub- sequence procession.

    3.2 Population Genetic Diversity

    Genetic diversity is the basis for evolution in a species, and evaluating the genetic variation of different populations is an important content of genetic resources protection (Hilbish, 1996). The average observed heterozygosity(), expected heterozygosity (), and nucleotide diversity () were estimated by Arlequin soft based on the fil- tered SNP information (Table 2). A relatively high level of genetic diversity was detected in Nantong population, followed by Qingdao and Chaozhou, and the lowest level of genetic diversity was found in the samples from Zhou- shan.

    Table 2 Population genetic diversity parameters of H. nehereus

    3.3 Genetic Variation and Population Structure

    AMOVA was conducted to estimate thedifferent sources and structures of genetic variation of(Table 3)The genetic variation ofwas significantly higher within individuals (99.93%) than among popula- tions (0.36%) (<0.05). PCA was applied to cluster indi- viduals into different subgroups according to their charac- teristics based on the SNP differences at the genome level to investigate the genetic differentiation among populations. Most of the samples were clustered together and no obvi- ous genetic differentiation was found, except for a few de- viant samples that might be due to statistical error, as shown in Fig.2.

    Table 3 Analyses of molecular variance (AMOVA) in different populations of H. nehereus

    Fig.2 Principal component analyses of the fiveH. nehereuspopulations along the coastal waters of China. Each sample is represented by a triangle.

    Population genetic structure refers to the nonrandom dis- tribution of genetic variation, and this study utilized spa- tial autocorrelation analysis to explore variation among ge- notypes in species or populations (Gyllensten, 1985). The genetic structure among all individuals was investigated using Frappe software to understand the degree of admix- ture in the populations. The maximum likelihood method was applied to infer thegenetic ancestor of each indivi- dual. We predefined the number of genetic clusters from=2 to=8to explore the convergence of individuals. Theoptimalvalue was determined according to the coeffi- cient of variation, and the optimal assumption was that the individuals originated from=5 ancestor groups (Fig.3). The cluster results showed no obvious genetic differentia- tion among different geographical populations and random mating of them.

    3.4 Population Phylogenetics and Adaptive Evolution

    The NJ phylogenetic tree was constructed by 1000 boot- strap permutations on the basis of SNP loci information. The topology displayed individuals from different popu- lations clustered together, indicating close relationships to each other (Fig.4). In our study, the Bayenv and LFMM methods were combined to verify outlier SNP loci. The for- mer was based on population genetic differentiation, and the latter was based on the relationships between SNP al- lele frequency and environmental variables. A total of 149 selected SNPs (143 associated with temperature and 6 as- sociated with salinity) were detected inby both methods.

    4 Discussion

    4.1 Feasibility of Genetic Analysis Based on GBS

    Fish stock is the fundamental unit in fisheries manage- ment and assessment,and understanding the population ge- netic structure of marine fishes is crucial to the sustain- able exploitation of fisheries resources (Reiss., 2010). Althoughis an important commercial species in China and the coastal countries of the Arabian Sea and the Bay of Bengal, its genetic background remains unclear. Since the beginning of the 21st century, NGS haspresent- ed a new approach for population genomics detection. The massive SNPs detected using GBS have been widely used for genetic diversity and adaptive differentiation analysisin several fish species, such as(Larson., 2014),(Glazer., 2015),(Guo., 2016),(Farrell., 2016),(Xu., 2019), and(Yang., 2020). In the present study, we applied GBS to decipher the popula- tion diversity and genetic variation ofalong the Chinese coast for the first time. The mean Q30 value (90.57%) and effective rate (99.99%) indicated high qua- lity and integrity of library construction and low sequen- cing error rate. Given the numbers of effective reads obtain- ed by the NGS platform, we considered that the evenly dis-tributed data of each individual could meet the needs of subsequent analysis.

    Fig.3 Individual cluster of H. nehereus with genetic structure analysis. Each sample is represented by a histogram, which is partitioned into different colors. Each color represents a genetic cluster.

    Fig.4 Phylogenetic tree of all samples collected along coas- tal waters of China.

    4.2 Genetic Diversity Analysis

    Genetic diversity is the fundamental element of biodi- versity, which is important for the survival, reproduction, and evolution of species in the world. Parameters, such as nucleotide diversity (), observed heterozygosity (), and expected heterozygosity () based on SNPs, are often used as criteria to evaluate population genetic diversity (John- son., 2016; Yang., 2020). In previous studies, the average nucleotide diversities based on mtDNA Cytandgenes were 0.000371±0.000379 and 0.000427±0.000424, respectively (Guo., 2019; Jiang., 2020), which were obviously lower than the results we obtained (0.63664–0.74868). This finding was related to the limitedmarker loci selected by traditional molecular markers, whichpossibly caused the loss of massive genetic information.Therefore, the genetic diversity ofcan be more accurately evaluated byapplying GBS based on the whole genome sequencing. The genetic diversity was also higher than many other marine organisms, such as(0.0025–0.0027) (Du, 2018),(0.136±0.064) (Xu., 2019),(0.1665–0.1937) (Gao., 2020), and(0.1439–0.1674) (Wang., 2020). The above outcomes demonstrated thatpopulations with high levels of genetic diversity had robust capabilities for adapting to changing environmental conditions.

    Xu. (2011) developed and characterized the mi- crosatellite markers forand revealed that the observed and expected heterozygosities ranged from 0.3500 to 0.8421 and from 0.5244 to 0.6244, respectively. Com- pared with our results, the difference betweenthetwo da- tasets might largely be caused by sampling locations and molecular marker differences. In this study, the average(0.41651–0.56725) washigher than the average(0.30998–0.45531) in all populations of. He- terozygosity excess across different populations suggest- ed that demographic change led to a recent bottleneck of. Historical population dynamics analysis based on the Cytgene also confirmed thathad ex- perienced a population expansion event, which occurred about 0.08–0.32 million years ago in the middle and late Quaternary Pleistocene (Guo., 2019).

    4.3 Genetic Differentiation and Environmental Adaptation

    Molecular variance analysis revealed that 99.93% of the genetic variation resided within individuals, and rela- tively weak genetic variation originated from interpopula- tion differences. The above results agreed with previous analyses using mitochondrial DNA genes (Cytand) (Guo., 2019; Jiang., 2020) and microsatellite markers (Xu., 2011). In the PCA plot, the specimens presented mixed distribution and could not be separated by three eigenvectors,which also proved the lack of sig- nificant genetic difference among individuals in differentgeographic populations. These results were consistent withthe topology of the NJ phylogenetic tree andclustering graph of population structure.has the reproductive strategy of inshore migration and spawning pelagic eggs (Luo, 2012). Furthermore, no obvious geo- graphical barrier existed among different sampling loca- tions. Therefore, thefree-floating eggs and larvae could be easily transported bystrong coastal currentsduring the breeding season. The frequent gene flow and drift caused a low level of genetic differentiation among populations along the coast of China.

    Marine fishes inhabiting diverse environments have beensubject to a great deal of natural selection pressure. The genetic variation caused byadaptive evolution reflects their potential to cope with different surroundings (Hoffmann and Willi, 2008). Environmental adaptation analysis using different SNP datasets was implemented in. Temperature and salinity are two of the most important abiotic factors affecting fish distribution. In the present study, more SNP loci were associated with temperature change than with salinity change, implying thatcould better adapt to temperature gradients than to salinity vari- ations. As a wide-temperature-salinity fish,canlive in a wide range of water temperature (9.11–32℃) and salinity (31.36–35.26) (Lin, 2009). In conclusion, the large temperature span caused abundant genetic variations inin different sea areas.

    Acknowledgements

    This research was supported by the Scientific Research Projects of the Zhejiang Bureau of Education (No. Y201 942611), and the Open Foundation from Marine Sciences in the First-Class Subjects of Zhejiang Province.

    Bhattacharya, T., Ghorai, T., Dora K, C., Sarkar, S., and Chowd- hury, S., 2016. Influence of chemical preservatives on the qua- lity and shelf-life of dried Bombay duck ()., 11 (1): 1-8.

    Carvalho, G. R., 2004. Population genetics: Principles and appli- cations for fisheries scientists., 5 (1): 94- 95.

    Carvalho, G. R., and Hauser, L., 1998. Advances in the mole- cular analysis of fish population structure., 65 (sup1): 21-33.

    Catchen, J., Hohenlohe, P. A., Bassham, S., Amores, A., and Cres- ko, W. A., 2013. Stacks: An analysis tool set for population ge- nomics., 22 (11): 3124-3140.

    Chen, D. G., and Zhang, M. Z., 2015.. China Ocean University Press, Qingdao, 416-418 (in Chinese with English abstract).

    Chen, L., Shui, B. N., and Dong, W. X., 2012. Growth charac- teristics and resources sustainable utilization of., 3: 68-70 (in Chinese with English abstract).

    Coop, G., Witonsky, D., Rienzo, A. D., and Pritchard, J. K., 2010.Using environmental correlations to identify loci underlying local adaptation., 185: 1411-1423.

    Du, X., 2018. Study on the phylogeography and adaptive diffe- rentiation ofalong the coast of China. Master thesis. Zhejiang Ocean University, 50-51 (in Chinese with Eng- lish abstract).

    Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J. A., Kawamoto, K., Buckler, E. S.,, 2011. A robust, simple genotyping- by-sequencing (GBS) approach for high diversity species., 6 (5): e19379.

    Excoffier, L., and Lischer, H. E. L., 2010. Arlequin suite ver 3.5: A new series of programs to perform population genetics ana- lyses under Linux and Windows., 10 (3): 564-567.

    Farrell, E. D., Carlsson, J., and Carlsson, J., 2016. Next Gen Pop Gen: Implementing a high-throughput approach to population genetics in boarfish ().,3: 160651.

    Firdaus, M., Lelono, T. D., Saleh, R., Bintoro, G., and Salim, G., 2018. The expression of the body shape in fish species(Hamilton, 1822) in the waters of Juata Laut, Tarakan city, North Kalimantan., 11 (3): 613- 624.

    Gao, L., Bao, X. B., Yu, S. M., Li, Z., Li, Y. F., and He, C. B., 2020. Analysis of the genetic characteristics ofpopulations along the Yellow and Bohai Seas using GBS., 27 (2): 204-212 (in Chi- nese with English abstract).

    Ghosh, S., 2014. Fishery, reproductive biology and diet charac- teristics of Bombay duckfrom the Sau- rashtra coast., 43 (3): 418- 426.

    Ghosh, S., Pillai, N. G. K., and Dhokia, H. K., 2009. Fishery and population dynamics of(Ham.) off the Saurashtra coast., 56 (1): 13-19.

    Gillespie, J. H., 1998.. The Johns Hopkins University Press, Baltimore, 27pp.

    Glazer, A. M., Killingbeck, E. E., Mitros, T., Rokhsar, D. S., andMiller, C. T., 2015. Genome assembly improvement and map- ping convergently evolved skeletal traits in sticklebacks with genotyping-by-sequencing., 5 (7): 1463-1472.

    Guo, B. C., Li, Z. T., and Meril?, J., 2016. Population genomic evidence for adaptive differentiation in the Baltic Sea herring., 25 (12): 2833-2852.

    Guo, Y. J., Yang, T. Y., Meng, W., Hang, Z. Q., and Gao, T. X., 2019. The genetic structure of the Bombay duck () based on mitochondrial Cytgene., 43 (5): 945-952 (in Chinese with English abstract).

    Gyllensten, U., 1985. The genetic structure of fish: Differences in the intraspecific distribution of biochemical genetic varia- tion between marine, anadromous, and freshwater species., 26 (6): 691-699.

    Hasin, T., 2016. Length-weight relationship and condition factor of Bombay duckfrom landings of fishery ghat, Chittagong., 3 (2): 355-360.

    He, X., Li, J., Shen, C., Shi, Y., Feng, C., Guo, J. H.,., 2019. Length-weight relationship and population dynamics of Bom- bay duck () in the Min River Estuary, East China Sea., 35: 253-261.

    Hilbish, T. J., 1996. Population genetics of marine species: The interaction of natural selection and historically differentiated populations., 200 (1-2): 67-83.

    Hoffmann, A. A., and Willi, Y., 2008. Detecting genetic responses to environmental change., 9: 421-432.

    Jaiswar, A. K., and Chakraborty, S. K., 2016. A review on fish- ery, biology and stock parameters of Bombay duck(Hamilton, 1822) occurring in India., 43: 67-96.

    Jiang, Y. L., Meng, W., Zhu, W. B., and Yang, T. Y., 2020. Gene- tic diversity analysis ofpopulations based on mitochondrial DNAgene., 39 (2): 102-109 (in Chinese with English abstract).

    Johnson, D. W., Freiwald, J., and Bernardi, G., 2016. Genetic di- versity affects the strength of population regulation in a ma- rine fish., 97 (3): 627-639.

    Kalhoro, M. A., Liu, Q., Memon, K. H., Chang, M. S., and Jatt, A. N., 2013. Estimation of maximum sustainable yield of Bom- bay duck,fishery in Pakistan using the CEDAand ASPIC packages., 45 (6): 1757- 1764.

    Kevin, C., Basile, J., Johanna, L., and Olivier, F., 2019. LFMM 2: Fast and accurate inference of gene-environment associations in genome-wide studies., 36 (4): 852-860.

    Khan, M. Z., 1989. Population dynamics of the Bombay duck,(Ham.), off Saurashtra coast., 36 (2): 93-101.

    Kumar, V. V., Reddy, A. D., Choudhury, S. R., Balakrishna, C. H.,Satyanaryana, Y., Nagesh, T. S.,., 2014. Morphometry and meristic counts of Bombay duck,(Hamil- ton, 1822) along Sunderban region of West Bengal, India., 4 (3): 95-105.

    Kurian, A., and Kurup, K. N., 1992. Stock assessment of Bom- bay duck(Ham.) off Maharashtra coast., 39: 243-248.

    Larson, W. A., Seeb, J. E., Pascal, C. E., Templin, W. D., and Seeb, L. W., 2014. Single-nucleotide polymorphisms (SNPs) identi- fied through genotyping-by-sequencing improve genetic stock identification of Chinook salmon () from western Alaska., 71 (5): 698-708.

    Li, H., and Durbin, R., 2010. Fast and accurate short read align- ment with Burrows-Wheeler transform., 26 (5): 589-595.

    Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Ho- mer, N.,., 2009. The sequence alignment/map format and SAMtools., 25 (16): 2078-2079.

    Li, Y. H., and Wang, H. P., 2017. Advances of genotyping-by-se- quencing in fisheries and aquaculture., 27: 535-559.

    Lin, L. S., 2009. Spatial distribution and environmental charac- teristics ofin the East China Sea region., 18 (1): 66-71 (in Chi- nese with English abstract).

    Luo, H. Z., 2012. Study of main biology character and analysis of resource status on theMaster thesis. Zhe-jiang Ocean University, 11-14 (in Chinese with English ab- stract).

    Luo, H. Z., Zhang, H. D., Li, P. F., and Zhou, Y. D., 2012. Ana- lysis of the current situation of fishery biology ofin the East China Sea., 31 (3): 202-205 (in Chinese with English abstract).

    Martin, M., 2011. Cut adapt removes adapter sequences from high-throughput sequencing reads., 17 (1): 1-10.

    Mohanraj, G., Nair, K. V. S., Asokan, P. K., and Ghosh, S., 2009. Status of marine fisheries in Gujarat with strategies for sus- tainable and responsible fisheries., 22: 285-296.

    Nelson, J. S., Grande, T. C., and Wilson, M. V. H., 2016.. Wiley, New York, 752pp.

    Nugroho, D., Faizah, R., Prasetyo, A. P., and Badrudin, M., 2015. Bio-exploitation status of Bombay duck (Hamilton, 1822) on trawl fishery in Tarakan waters., 21 (1): 53-59.

    Pan, G. L., Wang, Z. M., Zhang, H. L., and Zhou, Y. D., 2013. Spatial-temporal distribution of the biomass ofin the coastal area of south Zhejiang during spring., 32 (2): 99- 102 (in Chinese with English abstract).

    Pazhayamadom, D. G., Chakraborty, S. K., Jaiswar, A. K., Sud- heesan, D., Sajina, A. M., and Jahageerda, S., 2015. Stock struc- ture analysis of ‘Bombay duck’ (Hamil- ton, 1822) along the Indian coast using truss network morpho- metrics., 31: 37-44.

    Pravakar, P., Mansur, M. A., and Asadujjaman, M., 2013. Qua- lity and safety aspects of three sun-dried marine fish species: Chinese pomfret (), Bombay duck () and ribbon fish ()., 8 (4): 381-387.

    Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D.,., 2007. PLINK: A tool set for whole-ge- nome association and population-based linkage analyses., 81 (3): 559-575.

    Reiss, H., Hoarau, G., Dickey-Collas, M., and Wolff, W. J., 2010. Genetic population structure of marine fish: Mismatch between biological and fisheries management units., 10 (4): 61-395.

    Rupsankar, C., 2010. Improvement of cooking quality and gel for- mation capacity of Bombay duck () fish meat., 47 (5): 534-540.

    Russell, B., Govender, A., and Borsa, P., 2019... T75143569 A75144431. IUCN Red List Committee.

    Saha, S., Ferdous, Z., Jahan, H., Khandaker, A. M.,Khandaker, R. M., and Begum, R. A., 2019. Polymorphic loci analysis of 16S ribosomal RNA gene of economically important marine lizardfish Bombay duck ()., 47 (1): 49-57.

    Sambrook, J., Fritsch, E. F., and Maniatis, T., 1982.. Cold Spring Harbor Labora- tory Press, New York, 545pp.

    Tamura, K., Stecher, G., Peterson, D., Filipski, A., and Kumar, S., 2013. MEGA6: Molecular evolutionary genetics analysis version 6.0., 30 (12): 2725- 2729.

    Tang, H., Peng, J., Wang, P., and Risch, N. J., 2005. Estimation of individual admixture: Analytical and study design consi- derations., 28 (4): 289-301.

    Taqwa, A., Burhanuddin, A. I., Niartiningsih, A., and Nessa, M. N., 2020. Nomei fish (, Ham. 1822) reproduc- tion biology in Tarakan waters., 473: 012012.

    Wang, F. J., Meng, X. H., Fu, Q., Luan, S., and Sui, J., 2020. Ana- lysis of genetic diversity in three generations of breeding po- pulations ofbased on reduced-re- presentation genome sequencing.,41 (4): 68-76 (in Chinese with English abstract).

    Xu, S. Y., Yanagimoto, T., Song, N., Cai, S. S., Gao, T. X., and Zhang, X. M., 2019. Population genomics reveals possible ge-netic evidence for parallel evolution ofin the northwestern Pacific Ocean., 9 (9): 190028.

    Xu, T. J., Sun, D. Q., Li, H. Y., and Wang, R. X., 2011. Develop- ment and characterization of microsatellite markers for the li- zardfish known as the Bombay duck,(Sy- nodontidae)., 10 (3): 1701- 1706.

    Yang, B. Z., Yang, L., Tang, Y. G., Yan, L., and Zhang, P., 2013. Preliminary analysis on catch composition of gillnet fishery forin north part of the South China Sea., 40 (2): 99-102 (in Chinese with English abstract).

    Yang, T. Y., Gao, T. X., Meng, W., and Jiang, Y. L., 2020. Ge- nome-wide population structure and genetic diversity of Japa- nese whiting () inferred from genotyping-by- sequencing (GBS): Implications for fisheries management., 225: 105501.

    Zhang, B., and Jin, X. S., 2014. Feeding habits and ontogenetic diet shifts of Bombay duck,., 32 (2): 542-548.

    Zhang, B., Xu, T. J., Wang, R. X., Jin, X. X., and Sun, Y. N., 2013. Complete mitochondrial genome of the Bombay duck(Aulopiformes, Synodontidae)., 24 (6): 660-662.

    Zhang, H., and Xian, W. W., 2018. The complete mitochondrial genome of the larval Bombay duck(Au- lopiformes, Synodontidae) from Yangtze estuary and the phy- logenetic relationship of Synodontidae species., 3 (2): 657-658.

    Zhu, Z. H., Li, H. Y., Qin, Y., and Wang, R. X., 2014. Genetic di- versity and population structure inbased on sequence-related amplified polymorphism markers., 13 (3): 5974-5981.

    April 16, 2021;

    June 29, 2021;

    November 16, 2021

    ? Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022

    . E-mail: hellojelly1130@163.com

    (Edited by Qiu Yantao)

    超色免费av| 美女脱内裤让男人舔精品视频| 在线天堂最新版资源| 一级片免费观看大全| 国产极品粉嫩免费观看在线| 国产成人免费无遮挡视频| 丝袜脚勾引网站| 久热久热在线精品观看| 午夜福利,免费看| 国产永久视频网站| 日韩三级伦理在线观看| 免费日韩欧美在线观看| 精品国产一区二区三区四区第35| 一级毛片黄色毛片免费观看视频| 亚洲一级一片aⅴ在线观看| 一二三四中文在线观看免费高清| 免费看av在线观看网站| 亚洲精华国产精华液的使用体验| 22中文网久久字幕| 亚洲欧洲日产国产| 九色亚洲精品在线播放| 国产不卡av网站在线观看| 亚洲国产精品一区二区三区在线| 国产男人的电影天堂91| 成年人午夜在线观看视频| 国产日韩欧美亚洲二区| 最近中文字幕2019免费版| 最黄视频免费看| 免费大片18禁| 晚上一个人看的免费电影| 宅男免费午夜| 天天躁夜夜躁狠狠久久av| 国产一区亚洲一区在线观看| 国内精品宾馆在线| 青春草视频在线免费观看| 你懂的网址亚洲精品在线观看| 日本午夜av视频| 欧美性感艳星| 性色av一级| 少妇的逼水好多| 高清黄色对白视频在线免费看| 美女国产视频在线观看| 人妻人人澡人人爽人人| 亚洲第一av免费看| 亚洲欧美精品自产自拍| 日韩中文字幕视频在线看片| 亚洲av免费高清在线观看| 18禁观看日本| 国产成人精品一,二区| 日韩视频在线欧美| 免费看不卡的av| 久久狼人影院| 日本黄色日本黄色录像| 天堂中文最新版在线下载| 边亲边吃奶的免费视频| 五月伊人婷婷丁香| 亚洲av福利一区| 有码 亚洲区| 搡老乐熟女国产| 国产综合精华液| 免费观看无遮挡的男女| 国产精品嫩草影院av在线观看| 精品一区二区三区视频在线| 国产成人欧美| videos熟女内射| 国产免费又黄又爽又色| 久久久欧美国产精品| 亚洲久久久国产精品| 汤姆久久久久久久影院中文字幕| 精品少妇久久久久久888优播| 婷婷色av中文字幕| 夫妻性生交免费视频一级片| 日韩中文字幕视频在线看片| 在线免费观看不下载黄p国产| 两个人免费观看高清视频| 永久免费av网站大全| 自拍欧美九色日韩亚洲蝌蚪91| 大香蕉97超碰在线| 80岁老熟妇乱子伦牲交| 亚洲天堂av无毛| 日日爽夜夜爽网站| 伊人久久国产一区二区| 人成视频在线观看免费观看| 亚洲av电影在线观看一区二区三区| 99热全是精品| 色5月婷婷丁香| 成人手机av| 黄片播放在线免费| av线在线观看网站| 高清黄色对白视频在线免费看| 亚洲内射少妇av| 水蜜桃什么品种好| 久久精品国产亚洲av涩爱| 欧美日韩视频精品一区| 国精品久久久久久国模美| 午夜精品国产一区二区电影| 一级毛片黄色毛片免费观看视频| 国产片内射在线| 青春草国产在线视频| 深夜精品福利| 亚洲国产av新网站| 中文字幕精品免费在线观看视频 | 女人精品久久久久毛片| 97人妻天天添夜夜摸| 赤兔流量卡办理| 欧美日韩成人在线一区二区| 国产免费视频播放在线视频| 久久久久久久亚洲中文字幕| 亚洲精品久久久久久婷婷小说| 国产日韩一区二区三区精品不卡| 热re99久久精品国产66热6| 国产一区二区三区综合在线观看 | 日韩视频在线欧美| 国产欧美亚洲国产| 免费女性裸体啪啪无遮挡网站| 99热国产这里只有精品6| 丰满乱子伦码专区| 日韩欧美精品免费久久| 99热这里只有是精品在线观看| 国产精品久久久av美女十八| 人人妻人人澡人人爽人人夜夜| 男人操女人黄网站| 丰满乱子伦码专区| av在线播放精品| 男女边摸边吃奶| 深夜精品福利| 久久99精品国语久久久| 视频区图区小说| 一级a做视频免费观看| 9191精品国产免费久久| 青春草国产在线视频| 久久久欧美国产精品| 国产在线免费精品| 蜜臀久久99精品久久宅男| 国产国拍精品亚洲av在线观看| 精品少妇内射三级| 亚洲精品日本国产第一区| 亚洲国产精品国产精品| www.av在线官网国产| 日本-黄色视频高清免费观看| 观看av在线不卡| 国产国拍精品亚洲av在线观看| 国语对白做爰xxxⅹ性视频网站| 人妻人人澡人人爽人人| 欧美丝袜亚洲另类| 亚洲第一av免费看| 免费看光身美女| 成人毛片60女人毛片免费| 男人操女人黄网站| 免费不卡的大黄色大毛片视频在线观看| 国产亚洲最大av| 日韩免费高清中文字幕av| 国产亚洲一区二区精品| 亚洲图色成人| 青春草视频在线免费观看| 国产熟女欧美一区二区| √禁漫天堂资源中文www| 国产亚洲一区二区精品| 免费女性裸体啪啪无遮挡网站| www.熟女人妻精品国产 | 国产成人精品无人区| 美女xxoo啪啪120秒动态图| 九九爱精品视频在线观看| 国产有黄有色有爽视频| 久久人人爽av亚洲精品天堂| 国产成人精品一,二区| 国产极品天堂在线| 久久韩国三级中文字幕| 久久毛片免费看一区二区三区| 国产一区二区在线观看日韩| 中文字幕精品免费在线观看视频 | 精品少妇内射三级| 亚洲欧美成人精品一区二区| 七月丁香在线播放| 国产黄色视频一区二区在线观看| 99国产精品免费福利视频| 精品一区二区三区四区五区乱码 | 精品国产露脸久久av麻豆| 亚洲内射少妇av| 蜜桃国产av成人99| 国产有黄有色有爽视频| 亚洲精品久久午夜乱码| 久久久a久久爽久久v久久| 亚洲精品自拍成人| 午夜福利影视在线免费观看| 国产成人一区二区在线| 午夜激情久久久久久久| 欧美亚洲日本最大视频资源| 男的添女的下面高潮视频| 亚洲 欧美一区二区三区| 少妇精品久久久久久久| av免费观看日本| 大香蕉97超碰在线| 伦理电影大哥的女人| 高清av免费在线| 999精品在线视频| 国产精品久久久久久久电影| 啦啦啦中文免费视频观看日本| 亚洲欧美色中文字幕在线| 大香蕉久久成人网| 99久久综合免费| 一区二区日韩欧美中文字幕 | 51国产日韩欧美| 在线天堂中文资源库| 精品久久蜜臀av无| 成人二区视频| 亚洲精品自拍成人| 美女内射精品一级片tv| 国产精品国产av在线观看| 亚洲av成人精品一二三区| 男人爽女人下面视频在线观看| 久久精品国产亚洲av涩爱| 精品午夜福利在线看| 欧美丝袜亚洲另类| 日韩人妻精品一区2区三区| 少妇猛男粗大的猛烈进出视频| 午夜福利乱码中文字幕| 国产精品国产三级国产av玫瑰| 韩国高清视频一区二区三区| 精品国产露脸久久av麻豆| 成人漫画全彩无遮挡| av在线老鸭窝| 香蕉国产在线看| 我要看黄色一级片免费的| 国产伦理片在线播放av一区| 最近最新中文字幕免费大全7| 建设人人有责人人尽责人人享有的| 99精国产麻豆久久婷婷| 啦啦啦中文免费视频观看日本| 青春草视频在线免费观看| av福利片在线| 狂野欧美激情性bbbbbb| 欧美最新免费一区二区三区| 观看美女的网站| 国产日韩欧美在线精品| 国产一区二区在线观看av| 亚洲精品成人av观看孕妇| 插逼视频在线观看| 国产av国产精品国产| 日韩精品免费视频一区二区三区 | 在线观看www视频免费| 日本免费在线观看一区| 午夜福利视频精品| 尾随美女入室| 黑人猛操日本美女一级片| 亚洲伊人色综图| 蜜臀久久99精品久久宅男| 亚洲欧美清纯卡通| 欧美+日韩+精品| av又黄又爽大尺度在线免费看| 女性生殖器流出的白浆| 国产精品秋霞免费鲁丝片| 97精品久久久久久久久久精品| 99视频精品全部免费 在线| 丰满迷人的少妇在线观看| 久久久久久久亚洲中文字幕| 99香蕉大伊视频| www日本在线高清视频| www.av在线官网国产| 精品一区在线观看国产| 免费少妇av软件| 免费在线观看黄色视频的| 韩国av在线不卡| 制服丝袜香蕉在线| 国产成人a∨麻豆精品| 亚洲,欧美精品.| 国产精品人妻久久久影院| 欧美 日韩 精品 国产| 精品福利永久在线观看| 五月天丁香电影| 夫妻性生交免费视频一级片| 国产免费视频播放在线视频| 欧美日本中文国产一区发布| 综合色丁香网| 色5月婷婷丁香| 国产男女内射视频| 久久国产精品男人的天堂亚洲 | 精品亚洲成a人片在线观看| 亚洲色图 男人天堂 中文字幕 | 日本免费在线观看一区| 午夜91福利影院| 久久久久精品人妻al黑| 综合色丁香网| 国产毛片在线视频| 久久ye,这里只有精品| 少妇精品久久久久久久| 成人国产av品久久久| 在线观看免费高清a一片| 国产成人午夜福利电影在线观看| 亚洲欧洲日产国产| 精品视频人人做人人爽| 亚洲国产欧美在线一区| 精品亚洲成国产av| 精品一区二区免费观看| 18禁观看日本| 99热国产这里只有精品6| 丰满饥渴人妻一区二区三| 人成视频在线观看免费观看| 久久久久网色| 纵有疾风起免费观看全集完整版| 一本大道久久a久久精品| videosex国产| 少妇猛男粗大的猛烈进出视频| 一本一本久久a久久精品综合妖精 国产伦在线观看视频一区 | 夫妻午夜视频| 国产淫语在线视频| 国产亚洲欧美精品永久| 国产成人精品一,二区| 亚洲伊人久久精品综合| 高清在线视频一区二区三区| 日本wwww免费看| 国产无遮挡羞羞视频在线观看| 亚洲激情五月婷婷啪啪| 一二三四在线观看免费中文在 | 18禁在线无遮挡免费观看视频| 亚洲,欧美,日韩| 精品一区在线观看国产| 免费看不卡的av| 一级a做视频免费观看| 午夜影院在线不卡| 五月玫瑰六月丁香| 日日啪夜夜爽| 日韩制服骚丝袜av| 国产乱人偷精品视频| 少妇被粗大猛烈的视频| 丝袜在线中文字幕| 99香蕉大伊视频| 免费看av在线观看网站| 波多野结衣一区麻豆| 麻豆精品久久久久久蜜桃| 亚洲av欧美aⅴ国产| 久久国内精品自在自线图片| 90打野战视频偷拍视频| 大片免费播放器 马上看| 在线天堂中文资源库| 视频中文字幕在线观看| 91精品三级在线观看| 大码成人一级视频| 婷婷成人精品国产| 蜜臀久久99精品久久宅男| 成年人午夜在线观看视频| 18禁国产床啪视频网站| xxx大片免费视频| 少妇精品久久久久久久| 亚洲综合色网址| 亚洲少妇的诱惑av| 日日撸夜夜添| 国产精品久久久av美女十八| 亚洲av福利一区| 亚洲少妇的诱惑av| 亚洲精品乱久久久久久| 天天影视国产精品| 久久久国产一区二区| 乱人伦中国视频| av在线观看视频网站免费| 亚洲人与动物交配视频| 亚洲激情五月婷婷啪啪| 黄网站色视频无遮挡免费观看| 丝袜人妻中文字幕| 韩国av在线不卡| 亚洲一区二区三区欧美精品| 国产日韩欧美视频二区| 欧美亚洲 丝袜 人妻 在线| 一级毛片我不卡| 精品人妻熟女毛片av久久网站| 最近最新中文字幕免费大全7| 国产成人免费无遮挡视频| 天天操日日干夜夜撸| 男女国产视频网站| 精品亚洲成a人片在线观看| 天堂中文最新版在线下载| 天美传媒精品一区二区| 久久99热6这里只有精品| 成年美女黄网站色视频大全免费| 一二三四中文在线观看免费高清| 熟女av电影| 免费不卡的大黄色大毛片视频在线观看| 三级国产精品片| 久久人妻熟女aⅴ| 91精品伊人久久大香线蕉| 久久毛片免费看一区二区三区| 色婷婷av一区二区三区视频| 亚洲国产欧美日韩在线播放| 天天操日日干夜夜撸| 91精品伊人久久大香线蕉| 国产又色又爽无遮挡免| 国产精品人妻久久久影院| 纯流量卡能插随身wifi吗| 国产成人精品无人区| 日韩欧美精品免费久久| 国产精品不卡视频一区二区| 少妇的丰满在线观看| 亚洲精品456在线播放app| 免费观看av网站的网址| 天堂8中文在线网| 久热这里只有精品99| 国产国语露脸激情在线看| 亚洲四区av| 麻豆精品久久久久久蜜桃| 国产免费福利视频在线观看| 美女内射精品一级片tv| 亚洲,欧美精品.| 精品一区二区免费观看| 香蕉精品网在线| 国产精品偷伦视频观看了| 成年人午夜在线观看视频| 99国产综合亚洲精品| 一二三四中文在线观看免费高清| 国产伦理片在线播放av一区| 男女国产视频网站| 丝瓜视频免费看黄片| 人成视频在线观看免费观看| 成人漫画全彩无遮挡| 久久国产精品男人的天堂亚洲 | 日韩成人av中文字幕在线观看| 久久久精品区二区三区| 免费看不卡的av| 中国三级夫妇交换| 欧美丝袜亚洲另类| 国产精品久久久久久久电影| 亚洲色图综合在线观看| 伦精品一区二区三区| 国产视频首页在线观看| 在线观看一区二区三区激情| 一级毛片 在线播放| 日韩 亚洲 欧美在线| 香蕉精品网在线| 这个男人来自地球电影免费观看 | 美女大奶头黄色视频| 日韩欧美精品免费久久| 女性生殖器流出的白浆| 亚洲欧洲日产国产| 80岁老熟妇乱子伦牲交| 黑人高潮一二区| 免费观看性生交大片5| 亚洲欧美成人精品一区二区| 国国产精品蜜臀av免费| 国产精品麻豆人妻色哟哟久久| 国产一区二区在线观看日韩| 激情视频va一区二区三区| 久久久久久久久久成人| 夫妻午夜视频| 一区二区日韩欧美中文字幕 | 亚洲av免费高清在线观看| 99re6热这里在线精品视频| 国产精品无大码| 韩国av在线不卡| 全区人妻精品视频| 综合色丁香网| 少妇被粗大的猛进出69影院 | 97人妻天天添夜夜摸| 色94色欧美一区二区| 欧美性感艳星| 夜夜爽夜夜爽视频| 精品福利永久在线观看| av女优亚洲男人天堂| 人妻少妇偷人精品九色| 我要看黄色一级片免费的| 色网站视频免费| 一区二区三区四区激情视频| 久久精品熟女亚洲av麻豆精品| 亚洲天堂av无毛| 99热这里只有是精品在线观看| 亚洲av日韩在线播放| 99九九在线精品视频| videosex国产| 一区二区三区四区激情视频| 国产伦理片在线播放av一区| 桃花免费在线播放| 一本久久精品| 寂寞人妻少妇视频99o| 精品卡一卡二卡四卡免费| 色94色欧美一区二区| 国精品久久久久久国模美| 人妻一区二区av| av天堂久久9| 另类亚洲欧美激情| 亚洲综合色网址| 十八禁高潮呻吟视频| 亚洲伊人久久精品综合| 亚洲av综合色区一区| 亚洲av国产av综合av卡| 五月天丁香电影| 欧美日韩一区二区视频在线观看视频在线| 午夜91福利影院| 捣出白浆h1v1| 国产成人av激情在线播放| 欧美激情 高清一区二区三区| 日韩av免费高清视频| 久久热在线av| 成年人午夜在线观看视频| 欧美精品一区二区大全| 亚洲欧美一区二区三区国产| 日韩av在线免费看完整版不卡| 亚洲人与动物交配视频| 久久99精品国语久久久| a级毛片黄视频| 免费av不卡在线播放| 一二三四中文在线观看免费高清| 90打野战视频偷拍视频| 欧美日韩国产mv在线观看视频| 一级爰片在线观看| 大片电影免费在线观看免费| 亚洲少妇的诱惑av| 亚洲精品色激情综合| 久久久国产欧美日韩av| 国产精品国产三级国产av玫瑰| 亚洲欧美色中文字幕在线| 亚洲精品色激情综合| 国产av一区二区精品久久| 亚洲av.av天堂| 亚洲精品一区蜜桃| 精品一区二区免费观看| videos熟女内射| 国产一区二区三区av在线| 亚洲欧美日韩另类电影网站| 亚洲激情五月婷婷啪啪| 国产黄色视频一区二区在线观看| 亚洲av中文av极速乱| 在线 av 中文字幕| 国产成人精品久久久久久| 巨乳人妻的诱惑在线观看| 久久久久久伊人网av| 精品国产一区二区三区四区第35| 欧美精品国产亚洲| 久热这里只有精品99| 免费av中文字幕在线| 国产精品久久久av美女十八| 又大又黄又爽视频免费| 水蜜桃什么品种好| 寂寞人妻少妇视频99o| 一区二区三区乱码不卡18| 香蕉丝袜av| 国产成人a∨麻豆精品| 国产熟女欧美一区二区| 卡戴珊不雅视频在线播放| 看十八女毛片水多多多| 毛片一级片免费看久久久久| 亚洲成av片中文字幕在线观看 | 精品国产乱码久久久久久小说| 女的被弄到高潮叫床怎么办| 制服诱惑二区| 亚洲av综合色区一区| 亚洲美女黄色视频免费看| 国产亚洲精品久久久com| 22中文网久久字幕| 亚洲国产精品成人久久小说| 天天操日日干夜夜撸| 美女国产高潮福利片在线看| 男女免费视频国产| 中文乱码字字幕精品一区二区三区| 国产成人精品无人区| 最近2019中文字幕mv第一页| 男女免费视频国产| 国产精品熟女久久久久浪| 欧美精品人与动牲交sv欧美| a 毛片基地| 欧美日韩成人在线一区二区| 免费黄网站久久成人精品| 亚洲综合色惰| 在线观看人妻少妇| 亚洲国产av新网站| 高清毛片免费看| 国产一区亚洲一区在线观看| 免费少妇av软件| 狂野欧美激情性xxxx在线观看| kizo精华| 免费观看无遮挡的男女| 国产高清不卡午夜福利| 中文字幕人妻丝袜制服| 2021少妇久久久久久久久久久| 国产免费福利视频在线观看| 韩国av在线不卡| 日韩中字成人| 国产爽快片一区二区三区| 国产精品无大码| 在线亚洲精品国产二区图片欧美| 制服诱惑二区| 熟妇人妻不卡中文字幕| 久久这里只有精品19| 免费黄网站久久成人精品| 日本vs欧美在线观看视频| 国产一区有黄有色的免费视频| 爱豆传媒免费全集在线观看| 久久狼人影院| 精品国产一区二区久久| 亚洲伊人色综图| 久久久久久伊人网av| 成人综合一区亚洲| 国产片内射在线| 九草在线视频观看| 国产免费一区二区三区四区乱码| 你懂的网址亚洲精品在线观看| 少妇人妻精品综合一区二区| 日本午夜av视频| 国产亚洲av片在线观看秒播厂| 高清av免费在线| 国产精品国产av在线观看| 久久热在线av| 99国产综合亚洲精品| 欧美人与性动交α欧美软件 | 人妻人人澡人人爽人人| 寂寞人妻少妇视频99o| 日韩 亚洲 欧美在线| 久久精品国产自在天天线| 日日啪夜夜爽| 日本vs欧美在线观看视频| 成人综合一区亚洲| 一级a做视频免费观看| 尾随美女入室| 久久午夜福利片| 满18在线观看网站| 人妻系列 视频| 亚洲人成77777在线视频| 蜜臀久久99精品久久宅男|