Wenqian Jiao
Ocean University of China
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Featured researches published by Wenqian Jiao.
DNA Research | 2014
Wenqian Jiao; Xiaoteng Fu; Jinzhuang Dou; Hengde Li; Hailin Su; Junxia Mao; Qian Yu; Lingling Zhang; Xiaoli Hu; Xiaoting Huang; Yangfan Wang; Shi Wang; Zhenmin Bao
Genetic linkage maps are indispensable tools in genetic and genomic studies. Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution linkage maps in organisms lacking extensive genomic resources. In the present study, linkage mapping was conducted for a bivalve mollusc (Chlamys farreri) using a newly developed GBS method—2b-restriction site-associated DNA (2b-RAD). Genome survey sequencing was performed to generate a preliminary reference genome that was utilized to facilitate linkage and quantitative trait locus (QTL) mapping in C. farreri. A high-resolution linkage map was constructed with a marker density (3806) that has, to our knowledge, never been achieved in any other molluscs. The linkage map covered nearly the whole genome (99.5%) with a resolution of 0.41 cM. QTL mapping and association analysis congruously revealed two growth-related QTLs and one potential sex-determination region. An important candidate QTL gene named PROP1, which functions in the regulation of growth hormone production in vertebrates, was identified from the growth-related QTL region detected on the linkage group LG3. We demonstrate that this linkage map can serve as an important platform for improving genome assembly and unifying multiple genomic resources. Our study, therefore, exemplifies how to build up an integrative genomic framework in a non-model organism.
PLOS ONE | 2013
Shan Wang; Rui Hou; Zhenmin Bao; Huixia Du; Yan He; Hailin Su; Yueyue Zhang; Xiaoteng Fu; Wenqian Jiao; Yan Li; Lingling Zhang; Shi Wang; Xiaoli Hu
Background Bivalves play an important role in the ecosystems they inhabit and represent an important food source all over the world. So far limited genetic research has focused on this group of animals largely due to the lack of sufficient genetic or genomic resources. Here, we performed de novo transcriptome sequencing to produce the most comprehensive expressed sequence tag resource for Zhikong scallop (Chlamys farreri), and conducted the first transcriptome comparison for scallops. Results In a single 454 sequencing run, 1,033,636 reads were produced and then assembled into 26,165 contigs. These contigs were then clustered into 24,437 isotigs and further grouped into 20,056 isogroups. About 47% of the isogroups showed significant matches to known proteins based on sequence similarity. Transcripts putatively involved in growth, reproduction and stress/immune-response were identified through Gene ontology (GO) and KEGG pathway analyses. Transcriptome comparison with Yesso scallop (Patinopecten yessoensis) revealed similar patterns of GO representation. Moreover, 38 putative fast-evolving genes were identified through analyzing the orthologous gene pairs between the two scallop species. More than 46,000 single nucleotide polymorphisms (SNPs) and 350 simple sequence repeats (SSRs) were also detected. Conclusion Our study provides the most comprehensive transcriptomic resource currently available for C. farreri. Based on this resource, we performed the first large-scale transcriptome comparison between the two scallop species, C. farreri and P. yessoensis, and identified a number of putative fast-evolving genes, which may play an important role in scallop speciation and/or local adaptation. A large set of single nucleotide polymorphisms and simple sequence repeats were identified, which are ready for downstream marker development. This transcriptomic resource should lay an important foundation for future genetic or genomic studies on C. farreri.
Nature Ecology and Evolution | 2017
Shi Wang; Jinbo Zhang; Wenqian Jiao; Ji Li; Xiaogang Xun; Yan Sun; Ximing Guo; Pin Huan; Bo Dong; Lingling Zhang; Xiaoli Hu; Xiaoqing Sun; Jing Wang; Chengtian Zhao; Yangfan Wang; Dawei Wang; Xiaoting Huang; Ruijia Wang; Jia Lv; Y.-T. Li; Zhifeng Zhang; Baozhong Liu; Wei Lu; Yuanyuan Hui; Jun Liang; Zunchun Zhou; Rui Hou; Xue Li; Yunchao Liu; Hengde Li
Reconstructing the genomes of bilaterian ancestors is central to our understanding of animal evolution, where knowledge from ancient and/or slow-evolving bilaterian lineages is critical. Here we report a high-quality, chromosome-anchored reference genome for the scallop Patinopecten yessoensis, a bivalve mollusc that has a slow-evolving genome with many ancestral features. Chromosome-based macrosynteny analysis reveals a striking correspondence between the 19 scallop chromosomes and the 17 presumed ancestral bilaterian linkage groups at a level of conservation previously unseen, suggesting that the scallop may have a karyotype close to that of the bilaterian ancestor. Scallop Hox gene expression follows a new mode of subcluster temporal co-linearity that is possibly ancestral and may provide great potential in supporting diverse bilaterian body plans. Transcriptome analysis of scallop mantle eyes finds unexpected diversity in phototransduction cascades and a potentially ancient Pax2/5/8-dependent pathway for noncephalic eyes. The outstanding preservation of ancestral karyotype and developmental control makes the scallop genome a valuable resource for understanding early bilaterian evolution and biology.
PLOS ONE | 2013
Xiaoteng Fu; Jinzhuang Dou; Junxia Mao; Hailin Su; Wenqian Jiao; Lingling Zhang; Xiaoli Hu; Xiaoting Huang; Shi Wang; Zhenmin Bao
Genetic linkage maps are indispensable tools in genetic, genomic and breeding studies. As one of genotyping-by-sequencing methods, RAD-Seq (restriction-site associated DNA sequencing) has gained particular popularity for construction of high-density linkage maps. Current RAD analytical tools are being predominantly used for typing codominant markers. However, no genotyping algorithm has been developed for dominant markers (resulting from recognition site disruption). Given their abundance in eukaryotic genomes, utilization of dominant markers would greatly diminish the extensive sequencing effort required for large-scale marker development. In this study, we established, for the first time, a novel statistical framework for de novo dominant genotyping in mapping populations. An integrated package called RADtyping was developed by incorporating both de novo codominant and dominant genotyping algorithms. We demonstrated the superb performance of RADtyping in achieving remarkably high genotyping accuracy based on simulated and real mapping datasets. The RADtyping package is freely available at http://www2.ouc.edu.cn/mollusk/ detailen.asp?id=727.
Biology Direct | 2012
Jinzhuang Dou; Xiqiang Zhao; Xiaoteng Fu; Wenqian Jiao; Nannan Wang; Lingling Zhang; Xiaoli Hu; Shi Wang; Zhenmin Bao
BackgroundSingle nucleotide polymorphisms (SNPs) are the most abundant type of genetic variation in eukaryotic genomes and have recently become the marker of choice in a wide variety of ecological and evolutionary studies. The advent of next-generation sequencing (NGS) technologies has made it possible to efficiently genotype a large number of SNPs in the non-model organisms with no or limited genomic resources. Most NGS-based genotyping methods require a reference genome to perform accurate SNP calling. Little effort, however, has yet been devoted to developing or improving algorithms for accurate SNP calling in the absence of a reference genome.ResultsHere we describe an improved maximum likelihood (ML) algorithm called iML, which can achieve high genotyping accuracy for SNP calling in the non-model organisms without a reference genome. The iML algorithm incorporates the mixed Poisson/normal model to detect composite read clusters and can efficiently prevent incorrect SNP calls resulting from repetitive genomic regions. Through analysis of simulation and real sequencing datasets, we demonstrate that in comparison with ML or a threshold approach, iML can remarkably improve the accuracy of de novo SNP genotyping and is especially powerful for the reference-free genotyping in diploid genomes with high repeat contents.ConclusionsThe iML algorithm can efficiently prevent incorrect SNP calls resulting from repetitive genomic regions, and thus outperforms the original ML algorithm by achieving much higher genotyping accuracy. Our algorithm is therefore very useful for accurate de novo SNP genotyping in the non-model organisms without a reference genome.ReviewersThis article was reviewed by Dr. Richard Durbin, Dr. Liliana Florea (nominated by Dr. Steven Salzberg) and Dr. Arcady Mushegian.
Scientific Reports | 2016
Jinzhuang Dou; Xue Li; Qiang Fu; Wenqian Jiao; Yangping Li; Tianqi Li; Yangfan Wang; Xiaoli Hu; Shi Wang; Zhenmin Bao
The recently developed 2b-restriction site-associated DNA (2b-RAD) sequencing method provides a cost-effective and flexible genotyping platform for aquaculture species lacking sufficient genomic resources. Here, we evaluated the performance of this method in the genomic selection (GS) of Yesso scallop (Patinopecten yessoensis) through simulation and real data analyses using six statistical models. Our simulation analysis revealed that the prediction accuracies obtained using the 2b-RAD markers were slightly lower than those obtained using all polymorphic loci in the genome. Furthermore, a small subset of markers obtained from a reduced tag representation (RTR) library presented comparable performance to that obtained using all markers, making RTR be an attractive approach for GS purpose. Six GS models exhibited variable performance in prediction accuracy depending on the scenarios (e.g., heritability, sample size, population structure), but Bayes-alphabet and BLUP-based models generally outperformed other models. Finally, we performed the evaluation using an empirical dataset composed of 349 Yesso scallops that were derived from five families. The prediction accuracy for this empirical dataset could reach 0.4 based on optimal GS models. In summary, the genotyping flexibility and cost-effectiveness make 2b-RAD be an ideal genotyping platform for genomic selection in aquaculture breeding programs.
Scientific Reports | 2015
Meilin Tian; Yangping Li; Jing Jing; Chuang Mu; Huixia Du; Jinzhuang Dou; Junxia Mao; Xue Li; Wenqian Jiao; Yangfan Wang; Xiaoli Hu; Shi Wang; Ruijia Wang; Zhenmin Bao
Genetic linkage maps are critical and indispensable tools in a wide range of genetic and genomic research. With the advancement of genotyping-by-sequencing (GBS) methods, the construction of a high-density and high-resolution linkage maps has become achievable in marine organisms lacking sufficient genomic resources, such as echinoderms. In this study, high-density, high-resolution genetic map was constructed for a sea cucumber species, Apostichopus japonicus, utilizing the 2b-restriction site-associated DNA (2b-RAD) method. A total of 7839 markers were anchored to the linkage map with the map coverage of 99.57%, to our knowledge, this is the highest marker density among echinoderm species. QTL mapping and association analysis consistently captured one growth-related QTL located in a 5 cM region of linkage group (LG) 5. An annotated candidate gene, retinoblastoma-binding protein 5 (RbBP5), which has been reported to be an important regulator of cell proliferation, was recognized in the QTL region. This linkage map represents a powerful tool for research involving both fine-scale QTL mapping and marker assisted selection (MAS), and will facilitate chromosome assignment and improve the whole-genome assembly of sea cucumber in the future.
Marine Biotechnology | 2015
Yan Miao; Lingling Zhang; Yan Sun; Wenqian Jiao; Yangping Li; Jin Sun; Yangfan Wang; Shi Wang; Zhenmin Bao; Weizhi Liu
Attachment is an essential physiological process in life histories of many marine organisms. Using a combination of transcriptomic and proteomic approach, scallop byssal proteins (Sbps) and their associated regulatory network genes were investigated for the first time. We built the first scallop foot transcriptome library, and 75 foot-specific genes were identified. Through integration of transcriptomic-proteomic approach, seven unique Sbps were identified. Of them, three showed significant amino acid sequence homology to known proteins. In contrast, the rest did not show significant protein matches, indicating they are possibly novel proteins. Our transcriptomic and proteomic analyses also suggest that post-translational modification may be one of the significant features for Sbps as well. Taken together, our study provides the first multidimensional collection of a core set of genes that may be potentially involved in scallop byssal attachment.
Nature Communications | 2017
Y.-T. Li; Xiaoqing Sun; Xiaoli Hu; Xiaogang Xun; Jinbo Zhang; Ximing Guo; Wenqian Jiao; Lingling Zhang; Weizhi Liu; Jing Wang; Ji Li; Yan Sun; Yan Miao; Xiaokang Zhang; Taoran Cheng; Guoliang Xu; Xiaoteng Fu; Yangfan Wang; Xinran Yu; Xiaoting Huang; Wei Lu; Jia Lv; Chuang Mu; Dawei Wang; Xu Li; Yu Xia; Yajuan Li; Zhihui Yang; Fengliang Wang; Lu Zhang
Bivalve molluscs are descendants of an early-Cambrian lineage superbly adapted to benthic filter feeding. Adaptations in form and behavior are well recognized, but the underlying molecular mechanisms are largely unknown. Here, we investigate the genome, various transcriptomes, and proteomes of the scallop Chlamys farreri, a semi-sessile bivalve with well-developed adductor muscle, sophisticated eyes, and remarkable neurotoxin resistance. The scallop’s large striated muscle is energy-dynamic but not fully differentiated from smooth muscle. Its eyes are supported by highly diverse, intronless opsins expanded by retroposition for broadened spectral sensitivity. Rapid byssal secretion is enabled by a specialized foot and multiple proteins including expanded tyrosinases. The scallop uses hepatopancreas to accumulate neurotoxins and kidney to transform to high-toxicity forms through expanded sulfotransferases, probably as deterrence against predation, while it achieves neurotoxin resistance through point mutations in sodium channels. These findings suggest that expansion and mutation of those genes may have profound effects on scallop’s phenotype and adaptation.Bivalve molluscs have evolved various characteristics to adapt to benthic filter-feeding. Here, Li et al investigate the genome, transcriptomes and proteomes of scallop Chlamys farreri, revealing evidences of molecular adaptations to semi-sessile life and neurotoxins.
Marine Biotechnology | 2016
Chuang Mu; Ruijia Wang; Tianqi Li; Yuqiang Li; Meilin Tian; Wenqian Jiao; Xiaoting Huang; Lingling Zhang; Xiaoli Hu; Shi Wang; Zhenmin Bao
Long non-coding RNA (lncRNA) structurally resembles mRNA but cannot be translated into protein. Although the systematic identification and characterization of lncRNAs have been increasingly reported in model species, information concerning non-model species is still lacking. Here, we report the first systematic identification and characterization of lncRNAs in two sea cucumber species: (1) Apostichopus japonicus during lipopolysaccharide (LPS) challenge and in heathy tissues and (2) Holothuria glaberrima during radial organ complex regeneration, using RNA-seq datasets and bioinformatics analysis. We identified A. japonicus and H. glaberrima lncRNAs that were differentially expressed during LPS challenge and radial organ complex regeneration, respectively. Notably, the predicted lncRNA-microRNA-gene trinities revealed that, in addition to targeting protein-coding transcripts, miRNAs might also target lncRNAs, thereby participating in a potential novel layer of regulatory interactions among non-coding RNA classes in echinoderms. Furthermore, the constructed coding-non-coding network implied the potential involvement of lncRNA-gene interactions during the regulation of several important genes (e.g., Toll-like receptor 1 [TLR1] and transglutaminase-1 [TGM1]) in response to LPS challenge and radial organ complex regeneration in sea cucumbers. Overall, this pioneer systematic identification, annotation, and characterization of lncRNAs in echinoderm pave the way for similar studies and future genetic, genomic, and evolutionary research in non-model species.