Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Transcriptome analysis on the exoskeleton formation in early developmetal stages and reconstruction scenario in growth-moulting in Litopenaeus vannamei


Exoskeleton construction is an important issue in shrimp. To better understand the molecular mechanism of exoskeleton formation, development and reconstruction, the transcriptome of the entire developmental process in Litopenaeus vannamei, including nine early developmental stages and eight adult-moulting stages, was sequenced and analysed using Illumina RNA-seq technology. A total of 117,539 unigenes were obtained, with 41.2% unigenes predicting the full-length coding sequence. Gene Ontology, Clusters of Orthologous Group (COG), the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and functional annotation of all unigenes gave a better understanding of the exoskeleton developmental process in L. vannamei. As a result, more than six hundred unigenes related to exoskeleton development were identified both in the early developmental stages and adult-moulting. A cascade of sequential expression events of exoskeleton-related genes were summarized, including exoskeleton formation, regulation, synthesis, degradation, mineral absorption/reabsorption, calcification and hardening. This new insight on major transcriptional events provide a deep understanding for exoskeleton formation and reconstruction in L. vannamei. In conclusion, this is the first study that characterized the integrated transcriptomic profiles cover the entire exoskeleton development from zygote to adult-moulting in a crustacean, and these findings will serve as significant references for exoskeleton developmental biology and aquaculture research.


As the largest phylum of animals with over a million described species, arthropods make up more than 80% of all known living animal species all over the world1. This phylum includes trilobites, chelicerates, myriapods, hexapods, and crustaceans, which inhabit the land, sea and air. The common feature of arthropods is a covering of the exoskeleton2. The exoskeleton provides an arthropods shape, water-proofing, locomotion, and can also be very important for growth, development and reproduction3. However, this structure also confines metamorphosis, body growth and mating. Thus, arthropods periodically discard their old exoskeletons, meanwhile synthesize and form a new one to match the new body, which is a process referred to as moulting4, 5.

In the past century, the structure, chemical composition and mechanical characteristics of the exoskeleton have been widely studied in arthropods6,7,8,9,10. Some bio-mimetic composites with high strength and light weight were built and inspired by the exoskeleton11,12,13,14. The products extracted from the exoskeleton, such as chitin, chitosan and chitosan oligosaccharides have been widely used in the fields of chemical industry and medicine15, 16. However, studies on the molecular aspects of exoskeleton development are still scarce, especially analysis of the entire exoskeleton development from zygote to adult. How the exoskeletal regions are constructed and reconstructed to provide their morphological, physiological and mechanical functions is an important issue.

Litopenaeus vannamei, one of the most important economic species of decapoda, is the most commonly cultured shrimp species in the world. It is also an ideal model for analysing the exoskeleton development. The exoskeleton alternate is crucial for metamorphosis and growth throughout the life of shrimp. L. vannamei experiences 50 moulting periods during a lifetime on average17, which is much more than other arthropods; e.g., silkworms (four times), crabs (~eighteen times), and locusts (five times). In early development, L. vannamei has a distinctive metamorphosis consisting of nauplius, zoea, mysis and postlarvae18, 19 (Fig. 1A). The exoskeleton of shrimp is composed of the polysaccharide chitin, cuticle proteins and mineral deposits. It is a four-layered matrix including an epicuticle, exocuticle, endocuticle and epidermis20. According to the appearance of the epidermis, pigmentation, the formation of new setae, and the presence of matrix or internal cones in the setal lumen, the moulting cycle of shrimp can be divided into four recurrent stages: inter-moult, pre-moult, the moment of the moulting behaviour/ecdysis and post-moult21,22,23 (Fig. 1B). For growth, L. vannamei need to shed and replace their old exoskeletons and synthesize a new one, and this process is frequently repeated during the life cycle24. Failure of moulting in the metamorphosis and mortality of the moulting shrimps are two important reasons for production reduction in aquaculture, which are all closely related to the formation and reconstruction of the exoskeleton. Furthermore, the decapods are a major source of waste shells in the world. It has been reported that world annual bioproduction of waste shells was estimated to be at 6~8 million tonnes25. Therefore, many shells urgently need a natural way to degrade. Studies on the development of the exoskeleton in L. vannamei, especially in exoskeleton formation, synthesis, degradation, calcification and hardening processes are very valuable for aquaculture, medicine and industry.

Figure 1
figure 1

(A) Embryonic and larval stages during early development of L. vannamei. Morphologies are modified from Wei, etc, 201419. The moulting times are labelled under the figure. (B) Hierarchical structure of the exoskeleton of L. vannamei during the moulting process.

In previous studies, molecular research on the exoskeleton in shrimp were mostly concentrated on cloning genes. Several genes related to chitin synthsis26, degradation27, and mineral absorption28 were amplified and sequenced. RNA interference showed that some factors may be associated with exoskeleton reconstruction, such as CqGAP10 29, CqGAP65 30, LvGPS2 31, CqMIH 32. However, the information collected using these methods is incomplete and provided only a fragmented picture. The molecular mechanisms under exoskeleton development remain poorly understood. The next-generation RNA-sequencing method, which can be used to compare a few genes to the entire transcriptome, could be a vital approach to understand this ontology. This technology has dramatically improved the efficiency and speed of analysis, especially for non-model species, and it is considered to be most powerful tool for dissecting gene networks associated with particular biological and developmental processes at the whole transcriptome level33,34,35.

In this study, we analysed the transcriptomic characterization of L. vannamei during seventeen dynamic developmental stages from zygote to adult growth-moult by RNA-sequencing method, including nine sequential early developmental stages (zygote, blastula, gastrula, limb bud embryo, larva in membrane, nauplius, zoea, mysis and post-larvae) and eight adult-moulting stages, including inter-moult (C), pre-moult (D0, D1, D2, D3 and D4) and post-moult (P1 and P2). Our analysis underscored the gene expression profiles in dynamic exoskeleton development and deduced transcriptional events involved in the exoskeleton formation, regulation, synthesis, degradation, mineral absorption/reabsorption, calcification and hardening of the exoskeleton. The characterization of the exoskeleton-related genes and pathways will enhanced our understanding of the molecular mechanisms underlying exoskeleton development.

Result and Discussion

Sequencing and assembly of the reference transcriptome

As no genome of L.vannamei was available, a reference transcriptome was created first to perform digital gene expression profiling analysis. Using the Illumina RNA-seqing technology, two library transcriptomes from adult L. vannamei were sequenced, and a total of 11.1 Gb clean bases were obtained (Table 1). Combining our results with the original data previously sequenced by our laboratory (SRR1460493, SRR1460494, SRR1460495, SRR1460504 and SRR1460505) provided a more comprehensive analysis for depicting the transcriptome profiles. As a result, a total of 117,539 unigenes were assembled, with half of the total assembly length (N50) of 1,327 bp and total nucleotides of 83,002,524 bp.

Table 1 Summary of transcriptome sequencing from L. vannamei.

Functional annotation and classification analysis

For functional annotation of all unigenes, blast alignment against the National Center for Biotechnology Information (NCBI) non-redundant nucleotide/protein sequence database (NR and NT) and Swiss-Prot databases were performed (Supplementary Table S1). By blast searching with a cutoff E-value < 1e−5, 32,398 (48.5%) unigenes were found as putative homologues in the NR database, 19,363 (29.0%) unigenes were found as putative homologues in the NT database, and 29,022 (43.4%) were found as putative homologues in the Swiss-Prot database. The E-value and similarity distribution of the best blast hits for unigenes are shown in Supplementary Figure S1A and S1B. The distribution of best hits over species for NR annotation was also analysed (Supplementary Figure S1C). Daphnia pulex (10.0%), Tribolium castaneum (6.3%) and Pediculus humanus corporis (3.9%) possessed the top three maximum unigenes numbers with NR annotation.

To acquire complete functional information and pathway-based analysis, Gene Ontology (GO), Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were annotated for gene classification and pathway analysis. Through the GO analysis, a total of 158,366 GO terms were associated with all unigenes (Fig. 2A, Supplementary Table S2A). According to the secondary classification of the GO terms, all unigenes were sorted into 49 functional groups that belonged to three main GO categories: biological processes, molecular functions, and cellular components, comprised of 19,445 (34.1%), 21,510 (37.7%), and 16,122 (28.2%) unigenes, respectively (Fig. 2A). In the three categories, the seven subcategories; “cellular process” (15,425 unigenes), “binding” (13,264 unigenes), “metabolic process” (13,030 unigenes), “catalytic activity” (9,673 unigenes), “cell” (9,333 unigenes), “cell part” (9,328 unigenes), “single-organism process” (9,152 unigenes) were included in the top seven most-abundant sub-groups with more than 9000 unigenes.

Figure 2
figure 2

Gene ontology (GO), Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) classification of all unigenes. (A) The GO classification results summarized in three main GO categories (cellular component, molecular function, and biological process). The x-axis represents the GO ontology. The left y-axis indicates the percentage of unigenes. The right y-axis indicates the number of unigenes. (B) COG classification of all unigenes. The columns represent the number of unigenes in each subcategory. (C) KEGG classification of all unigenes. The columns represent the number of unigenes in each subcategory.

The COG database is also an important classification system for functional annotation36. As for COG classification, 12,368 unigenes (10.52% of all) were classified into 26 functional categories (Fig. 2B, Supplementary Table S2B). The largest group was “general function predicted only” (2,583 unigenes), followed by “Signal transduction mechanisms” (2,036 unigenes), “Posttranslational modification, protein turnover, chaperones” (1,283 unigenes) and “Translation, ribosomal structure and biogenesis” (1,164 unigenes).

Pathway-based analysis helps to further understand the biological pathways of the genes. In the KEGG assignment, 8,498 unigenes were mapped to 259 different pathways (Supplementary Table S2C); a summary of the unigenes assigned to these pathways is shown in Fig. 2C. Of these annotated sequences in KEGG, 28.6% pathways were classified into the pathway related to metabolism, with most of them involved in oxidative phosphorylation (199 unigenes), purine metabolism (192 unigenes), carbon metabolism (169 unigenes), biosynthesis of amino acids (145 unigenes) and pyrimidine metabolism (102 unigenes).

CDS prediction of the L. vannamei transcriptome

As a species lacks genome information, full-length coding sequence (CDS) analysis is very important for molecular research in L. vannamei 37,38,39. To better assign full-length gene, the CDSs of all unigenes were analysed by BLASTx and ESTScan. As a result, the CDS of 48,425 unigenes (41.2% of all unigenes) were predicted (Supplementary Table S3). Among them, 19,336 CDSs were extracted from BLASTx against the NR and Swiss-Prot databases. The remaining 29,089 CDSs, with no specific matches to the above databases, were predicted by ESTScan. The distribution of predicted CDS lengths is shown in Table 2, with the full-length coding sequence of nearly half of the unigenes obtained. These results will be of great interest for further analysis in L. vannamei as a prelude to functional investigations.

Table 2 The length distribution of coding sequence (CDS) predictions.

Digital gene expression profiling analysis of dynamical exoskeleton development

For analysis of the entire exoskeleton developmental process in L. vannamei, we sequenced seventeen sequential developmental stages from zygote to adult moult in L. vannamei, including nine successive early stages (zygote, blastula, gastrula, limb bud embryo, larva in membrane, nauplius, zoea, mysis and post-larvae) and eight moulting stages, including inter-moult (C), pre-moult (D0, D1, D2, D3 and D4) and post-moult (P1 and P2) by digital gene expression profiling technique.

As a result, seventeen stages produced a total of 233.78 million raw reads with 98.5% Q20 values using the Illumina HiSeq 2500 platform. After removal of low-quality reads, adaptor sequences, duplicate sequences and ambiguous reads, 231.44 million high-quality clean reads (15.73 Gb) remained. Then we mapped the filtered high-quality reads to the reference transcriptome, and 83.11~93% filtered reads were mapped. An overview of the sequencing and assembly results is summarized in Table 3.

Table 3 Summary of sequencing and assembly of the transcriptome.

Expression profile and differentially expressed gene (DEG) analysis

The expression value of each unigene was estimated by the fragments per kilobase of exon per million fragments mapped (FPKM) method. Among the seventeen developmental stages, the number of expressed genes (FPKM ≥ 0.3) were 27,982 (zygote), 32,982 (blastula), 35,979 (gastrula), 35,526 (limb bud embryo), 37,455 (larva in membrane), 37,531 (nauplius), 41,711 (zoea), 42,655 (mysis), 46,853 (post-larvae), 55,639 (C), 56,655 (D0), 60,115 (D1), 59,636 (D2), 50,693 (D3), 57,689 (D4), 52,813 (P1) and 58,890 (P2). Gene expression during seventeen stages is summarized in Supplementary Table S4 for early developmental stages and Supplementary Table S5 for adult moulting. It showed that the expressed genes were increasing gradually in early development. Also, Venn diagrams showed the number of common and unique genes in different moulting stages (Fig. 3). In this study, differentially expressed gene (DEG) was defined as the fold change of the normalized FPKM values of at least two-fold as well as a false discovery rate (FDR) ≤ 0.001. As a result, a set of 19,809 genes exhibited significant differential expression between two consecutive developmental stages (Fig. 4, Supplementary Table S6).

Figure 3
figure 3

A venn diagram showing the genes expressed in three major stages (inter-moult, pre-moult and post-most) of the moulting process. The details of expressed gene among eight moulting stages are shown.

Figure 4
figure 4

Differentially expressed genes (DEGs) detected between adjacent stages. The numbers of up-regulated and down-regulated genes are revealed by red and blue, respectively.

To validate the sequencing data, eight DEGs were selected for real-time qPCR both in the early development and moulting stages. Expression patterns of the selected genes determined by real-time qPCR (Supplementary Figure S2) had good consistency with the RNA-seq results, which corroborated our results.

Expression profile of genes related to exoskeleton development

Based on the functional gene profiling analysis, we summarized the genes related to exoskeleton formation, development and reconstruction from the following perspectives, including: (i) Cuticle protein (cuticle protein, chitin binding protein, structural constituent of cuticle), (ii) Moulting-hormone (moulting-inhibiting hormone, crustacean hyperglycemic hormone etc.), (iii) Exoskeleton degradation (chitinase, beta-N-acetyl-glucosaminidase, acetyl-hexosaminidase), (iv) Mineral absorption (solute carrier family, ferritin heavy chain etc.), (v) Mineral reabsorption (sodium/potassium-transporting ATPase, clathrin heavy chain etc.), (vi) Exoskeleton synthesis (chitin synthetase, Glutamine:Fructose-6-phosphate aminotransferase etc.), (vii) Ion channel (calcium channel, potassium channel, chloride channel etc.), (viii) Moulting signaling pathway (calmodulin, nitric oxide synthase, moulting defective family member etc.) and (ix) Late gene of moulting (actin/tubulin/myosin, hemocyanin etc.). As a result, 603 unigenes related to exoskeleton formation, development and reconstruction were identified (Supplementary Table S7). We performed hierarchical clustering of all exoskeleton related genes to examine the similarity and diversity of expression profiles (Fig. 5). The hierarchical clustering generated a global view of the gene expression pattern related to exoskeleton development, indicating that the majority of genes were up-regulated during the middle (lim/nauplius) and late of early developmental stages (zoea/mysis).

Figure 5
figure 5

Hierarchical clustering of all exoskeleton-related genes. The clustering indicates similar expression patterns among the developmental stages (x-axis) and among the genes (y-axis). Colours represent the gene expression levels from black (low) to red (high). For each cluster, the major enriched genes are listed.

Exoskeleton formation and development during early developmental stages in L. vannamei

During the early developmental stages of L. vannamei, both morphological and physiological features change dramatically19 (Fig. 1A), and this developmental mode provides a unique opportunity to examine exoskeleton formation and development40, 41. Based on exoskeleton development, the early developmental stages could be divided into three phases: Phase I, where there is no exoskeleton cover around the body, including zygote, blastula, gastrula, and limb bud embryo; Phase II, the initiation stage of exoskeleton formation, including larva in membrane and nauplius; Phase III, the metamorphosis process, in which there is rapid growth of the exoskeleton. The developmental stages in this phase include zoea, mysis and postlarvae. The transcriptome profile showed a rather different expression pattern among different early stages:

(i) Phase I was significantly enriched in histones, Zinc finger proteins, methyltransferase, and transcription initiative factors, which is related to maternal genes or embryo development; few exoskeleton-related genes were expressed in this phase. Additionally, it appeared that transcriptional repressors were enriched in this stage, and the expression levels of them reduce gradually during the early development. The decrease of the expression levels of repressors meant an active transcription level of metabolism42, which was in accordance with our results that gene expression was increasing gradually in early development. (ii) Phase II is the triggering stage of exoskeleton formation, and the specific expressed genes in this phase might be important for exoskeleton formation. Genes of Hox, hormone, transposon-encoded related proteins from larva in membrane to nauplius were significantly enriched, which were related to body plan and hormone regulation43, 44; additionally, it appeared that some important exoskeleton-related genes emerged in this phase. For example, the cuticle proteins, which are an important composition of the exoskeleton, were found to be sharply increased to thousands of times in this phase (Table 4). Moreover, moulting-inhibiting hormone (MIH) gene and crustacean hyperglycemic hormone (CHH) gene were triggered their transcription during Phase II. It is now well established that MIH and CHH peptide families serve as key regulators of hormones controlling the moulting process45, 46. Their initial expression represents the beginning of moulting-regulation46. Therefore, Phase II was the important time node for exoskeleton formation and hormone-regulation, and transcription of the exoskeleton-related genes were triggered in this phase.

Table 4 A heatmap showing the expression profile of cuticle proteins (part) during the early development of L. vannamei.

(iii) In the metamorphosis stages (Phase III), a large number of genes related to trypsin, transcription factors, ion channels and receptors, transmembrane receptors, and actin/tubulin/myosin were found to be expressed, which was consistent with some characteristics when converting from larvae to adult, such as larval feeding habits47 and formation of the eye48. We found that the genes related to chitinase, calcification of the exoskeleton and chitin metabolism occurred at Phase III. Moreover, the downstream hormone-factors under the regulation of MIH and CHH, including ecdysteroid regulated-like protein, ecdysone receptor (ECR), moulting fluid carboxypeptidase, ecdysone-induced proteins etc. appeared in these stages. These factors are essential for exoskeleton development and are especially important for synthesis, degradation, regulation, calcification and hardening in the moulting cycle.

In summary, the transcriptome results showed a distinct expression time and profile of developmental genes in the early development of L. vannamei. Also, it suggested that the exoskeleton formation was mainly initiate in lim/nauplius stages (phase II). Since factors related to exoskeleton synthesis, degradation, regulation, calcification and hardening were mainly expressed in the phase III, it indicated that an advanced system for exoskeleton development was gradually perfected in late phase.

Analysis of the exoskeleton degradation in the moulting

In shrimp, the exoskeleton reconstruction is a stepwise process that has several landmark events; i.e., apolysis (the separation of the cuticle from the epidermis), new exoskeleton synthesis and shedding of the old exoskeleton49,50,51. As the major component that breaks down the glycosidic bonds in chitin and partially digested old exoskeleton, chitinase was the major downstream factors of ecdysone to break off the old exoskeleton50. Forty-four unigenes related to chitinase were identified in the moulting cycle of L. vannamei (Supplementary Table S7). It revealed that these genes corresponding to chitin degradation were preferentially expressed during the D0-D1 and period D4. The activity of chitinase in the early pre-moult phase might be associated with the separation of the old and new exoskeleton (Fig. 6). Also, during ecdysis behaviour, the shrimp needed to digest the old exoskeleton for exfoliation. This might be the reason for obvious up-regulation of chitin degradation related genes in period D4. After moulting (P1), the expression of chitin degradation genes reaches the minimum. Similar results regarding the activity of chitinase during the post-moult phase were found in the Antarctic krill Euphausia superb 52, the fiddler crab Uca pugilator 53 and the whiteleg shrimp26, which have up-regulated expression of chitinase in the pre-moult phase.

Figure 6
figure 6

Morphological changes of shrimp uropods during moulting stages under a light microscope.

These results provided significant clues for a better understanding of the regulatory mechanisms under exoskeleton degradation in L. vannamei, and revealed that the D0-D1 and D4 periods were the important time nodes for exoskeleton degradation and indicated some key genes that have potential value for scientific research and applications.

It is known that world annual bioproduction of waste chitin shells is enormous, and the traditional method for extracting chemicals from waste shells is destructive, wasteful and expensive25. For example, to produce 1 kilogram of chitosan from shrimp shells, more than 1 tonne of water is need and as well as a large amount of 40% sodium hydroxide solution. Thus, developing a natural way to degrade the waste shells will be promising and necessary54, 55. From our results, several chitin degradation-related genes with high expression in the moulting process could be targeted candidates. For instance, the FPKM values of the c78849_g2 (chitinase) increased more than 2,500 at the D3-D4 period, which might be an important factor for chitin degradation. In future practical applications, by a proper combination of practical manufacturing technology, such as nano-material and film-material56, a novel method for degradation of waste shells could have great potential.

Analysis of chitin synthesis in L. vannamei

Chitin, a polymer of N-acetyl-β-D-glucosamine, is the major component of the shrimp exoskeleton26. As a framework material, chitin supports the exoskeleton of shrimp. Moreover, the moulting of shrimp is strictly dependent on the capability to synthesize chitin57. However, knowledge of its biosynthesis is still fragmentary in crustaceans, and is far behind this analysis in insects58,59,60. Based on the transcriptome results, we searched for chitin synthesis pathways be referring to the insect analysis57. Identifying the pathways of chitin synthesis in the L. vannamei analogy of the insect seemed to be considerable conserved (Fig. 7). Expression profile analysis showed that an up-regulated expression trend was found in the chitin pathway during the D4 and P2 period. Among the pathways, the expression of a chitin synthetase gene (c79847_g1), which encodes the key enzyme in chitin synthesis, significantly increased expression to the peak in the D4 and P2 periods. It is well known that partial digestion of the exoskeleton in the pre-moult phase is accompanied by the synthesis of new underlying exocuticle and epicuticle61, 62. Therefore, this up-regulation of the chitin synthesis pathway, together with the functional annotation of the physiological process, suggested that the synthesis of the new exoskeleton was mainly occurring in the D4 and P2 periods. These results provide a vital resource for further research into chitin synthesis in shrimp. Moreover, the temporal stage-related scheduling of the expression of the factors may serve as markers in future studies for monitoring the chitin synthesis process in L. vannamei.

Figure 7
figure 7

Expression profile of chitin synthesis pathways using the insect analogy. It displays expression patterns for all chitin synthesis factors in each comparison. The colour key represents FPKM normalized log2 transformed counts. Red represents up-regulated expression and green represents down-egulated expression. The diagrammatic representation is based on previous studies in insects57.

Mineral absorption/reabsorption and the exoskeleton hardening process during moulting

There is mineralization in shrimp exoskeleton, typically calcium carbonate, which gives the exoskeleton mechanical rigidity2. It is well known that there is a structure called gastrolith in crayfish that can collapse into the stomach and dissolve to promote minerals for the new exoskeleton63, 64. However, there is no such structure that has been reported in shrimp, thus the mineral for moulting was supposed to be absorbed from seawater or reabsorbed in L. vannamei 65. The annotated transcriptome was searched for mineral absorption and reabsorption encoding genes using the KEGG database. As a result, ko04978 “Mineral absorption” and ko04961 “Endocrine and other factor-regulated calcium reabsorption” were analysed, and the expression levels of the members are summarized in Supplementary Table S8. The results showed that mineral absorption was mainly occurring in the D1 and D4 period, and reabsorption was mainly occurring in the D2 and D4 period. During the early stage of pre-moult, minerals derived from the degradation of the old exoskeleton are not available66, 67, hence the mineral absorption (D1) was earlier than the reabsorption of minerals (D2). In addition, they all followed the initial degradation in D0-D1, which was thought to be the onset of moulting.

As the protein embedded in the chitin, the physical properties of the exoskeleton are determined largely by the cuticle proteins51, especially the calcified cuticle proteins, which could support the hardness of the exoskeleton68. It was reported that proteins with the cuticle_1 domain were associated with exoskeleton hardening in decapod crustaceans69, 70. In terms of RNA-seq results, a total of seventy-three cuticle protein related genes were identified from our transcriptome data (Supplementary Table S7), and the expression pattern on the whole is summarized in Fig. 8A. We found that the expression of cuticle proteins accumulated at a peak after ecdysis (P1). GO analysis also showed an obvious up-regulation of GO terms related to the structure (“GO:0005576” extracellular region, “GO:0042302” structural constituent of cuticle, “GO:0005198” structural molecule activity) between D4 and P1 (Fig. 8B). The abundant expression of cuticle proteins and structure related terms in P1 was considered to be the method for supporting and hardening the soft exoskeleton after moulting.

Figure 8
figure 8

Expression profiles of cuticle proteins and GO enrichment of up-regulated differentially expressed genes (DEGs) in D4-P1. (A) Expression profiles of cuticle protein genes. Row axis represents the developmental stages. Columns represent the total FPKM value of genes. (B) The GO terms of up-regulated DEGs in D4-P1. The arrows indicate the terms related to exoskeleton. Extracellular region (GO:0005576) with 76 DEGs are dominant in all categories. Structural molecule activity (GO:0005198) and Structural constituent of cuticle (GO:0042302) consisted of 74 and 49 DEGs that were dominant in categories of molecular function. The x-axis represents the name of GO subcategories. The left y-axis indicates the percent of genes. The right y-axis indicates the number of DEGs expressed in a given sub-category. The English in this document has been checked by native English-language editors. And the logical presentation of ideas and the structure of the paper were also checked during the editing process. The edit was performed by professional editors at American Journal Experts (, which is recommended by editorial staffs of Scientific Reports.

In summary, a coordination of exoskeleton degradation, chitin synthesis and exoskeleton hardening combined with mineral absorption and reabsorption were collectively occurring during moulting with a programmed procedure and strict control that beginning with the initial degradation in D0-D1, then mineral absorption in D1, followed by mineral reabsorption in D2 for mineral reserve. Then the synthesis of new chitin (D4) occurred, which was the main component of the outer layer-epicuticle71. The cuticle proteins, the important parts of the inner three layers66, were produced in P1. Finally, the new chitin continuously synthesized (P2) for a complete exoskeleton. The transcriptome analysis on the exoskeleton reconstruction scenario in growth-moulting was summaried in Table 5. This high degree of order is the key element in the many occurrences of moulting repeated during the life cycle of shrimp.

Table 5 A summary of transcriptional events applicable to the early development and moulting cycle in L. vannamei


This paper presents the first transcriptome analysis to cover the entire and dynamic exoskeleton formation, development and reconstruction in shrimp, including continuous early development stages and the entire moulting cycle. It establishes a transcriptional scenario for exoskeleton development and deduces the transcriptional events involved from the several perspective, including exoskeleton formation, regulation, synthesis, degradation, mineral absorption/reabsorption, calcification and hardening, etc. Moreover, it provides useful insights into the molecular processes underlying these transcriptional events. It indicates that a complex regulatory network of genes is involved in exoskeleton formation, development and construction in L. vannamei. Moreover, these genes show a strong coordination with a high degree of order during development. These results will provide molecular evidence for enhancing our understanding of exoskeleton development in shrimp and may possibly serve as a blueprint for other arthropods in future research.


Sample collection and RNA isolation

Healthy adult Litopenaeus vannamei with an average body length of 14–16 cm were collected from culture pond of the laboratory for de novo sequencing. They were from the same generation and had cultured more than half year to minimize the smallest effects by the environment. Two de novo libraries were constructed with mixed samples.

The early developmental samples were collected from a farm in Wenchang, Hainan, China. A total of nine samples, including zygote, cell, blastula, gastrula, limb bud embryo, larva in membrane, nauplius, zoea, mysis and postlarvae, were collected as the pool based on both morphological classification and physiological characters (Fig. 1A). They were reared in a 25 m3 indoor ponds with seawater at 31 °C, salinity of 2.5%. Embryos and larvae were collected with screen mesh when 90% of the population had reached the objective stage.

The samples at different moulting stages were collected from the whole individual shrimp with an average body length of 10–12 cm, which were cultured in the pond of our laboratory (seawater at 25 °C, salinity of 3%.). The moulting stages including eight periods, inter-moult (C), pre-moult (D0, D1, D2, D3 and D4) and post-moult (P1 and P2) were separately collected, identified by the formation of new setae, the appearance of new epidermis, and the presence of matrix or internal cones in the setal lumen21. Each stage used one individual in order to get the accurate moulting-stage, and each stage was analysed with biological replicates to ensure the accuracy. These materials were immediately frozen in liquid nitrogen and kept at −80 °C. All procedures involving animals were performed per the institutional ethic committee guidelines of Institute of Oceanology Chinese Academy of Sciences (IOCAS).

Total RNA was extracted from samples using the Trans-up RNA reagent according to the manufacturer’s protocol. DNase digestion was completed during RNA purification using the RNase Free DNase Set (QIAGEN). The yield, purity and integrity of total RNA were assessed by electrophoresis in 1% agarose gels and quantified with a NanoDrop 2000 spectrophotometer (Thermo Scientific, USA) and Agilent 2100 bioanalyser.

Library construction, sequencing and assembly

The RNA-sequencing libraries were prepared according to Illumina’s RNA sample preparation protocol. Magnetic beads with oligo dT were used to isolate poly (A) mRNA from total RNA. Then, fragmentation buffer was added for interrupting mRNA to short fragments. These short fragments were used as templates for random hexamer-primed synthesis of first-strand cDNA. The second-strand cDNA was synthesized using Buffer, RNase H, dNTPs and DNA polymerase I. A paired-end library was synthesized using the Genomic Sample Preparation Kit (Illumina). Short fragments were purified with a QiaQuick PCR extraction kit (Qiagen, Germany). For de novo sequencing, the constructed sequencing library was sequenced using Illumina HiSeq 2500 under the 2 × 100 bp paired-end model. For digital gene expression profiling, agarose gel electrophoresis was used to select the fragments with about 50 bp in size. Then the short fragments were connected with sequencing adapters. Finally, the libraries were sequenced using Illumina HiSeq™ 2500 (Novogene, Beijing).

Raw image data was transformed into raw reads by base calling, and stored in fastq format. After removing empty reads, adaptor sequences and low quality sequences, the raw reads were transformed into clean reads. The quality control of the reads was checked with FASTQC ( A reference transcriptome was assembled using a subset of reads from seven libraries, which were combined with the original data previously sequenced by our laboratory (SRR1460493, SRR1460494, SRR1460495, SRR1460504 and SRR1460505). The de novo transcriptome was assembled using Trinity (version trinityrnaseq_r2013_08_14) to obtain transcripts with min_kmer_cov set to 2 and all other parameters set to default72. Unigenes were obtained after redundant transcripts were removed by clustering in Tgicl. Then, reads from each of the development stages were mapped back to the reference transcriptome using the Bowtie2 aligner (parameters: mismatch 0) and converted into fragments per kilobase of transcript per million base pairs sequenced (FPKM)73.

Gene annotation, classification and CDS prediction

Gene function and classification were analysed based on searches against the following databases: National Center for Biotechnology Information (NCBI) non-redundant nucleotide/protein sequence database (NR and NT), SwissProt database, Gene Ontology (GO), Clusters of orthologous groups of proteins (COG), Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The software and methods for annotation and classification were: NCBI blast 2.2.28 + for NR, NT and SwissProt annotation with the E-value threshold was <1e−5. Blast2GO (version 3.0) ( was used for GO annotation with E-value < 1e−674; WEGO was used to categorize GO term to view the distribution75. KAAS ( and KEGG Automatic Annotation Server ( were carried out for KEGG annotation and classification76. Quantification of gene expression levels was estimated by RSEM (version v1.2.15)77. Differential expression analysis between adjacent developmental stages was implemented using the DESeq R package78. The absolute value of log2Ratio ≥ 1 and false discovery rate (FDR) ≤ 0.001 were used as the threshold to judge the significance of each gene expression difference. The heat maps were grouped together according to their FPKM values by Cluster 3.079 and visualized by TreeView 1.680. Moreover, in the priority order of NR and SwissProt, the best-matched fragments of the annotated unigenes were predicted for coding regions (CDS) using blastx with E value < 0.00001. The the CDS of the remaining un-annotated unigenes were predicted using ESTScan.

Real-time qPCR amplification for RNA-Seq verification

To verify the accuracy of RNA-seq data, eight DEGs were selected for verification by real-time qPCR amplification in the early development and moulting stages respectively, with gene-specific primers designed by Primer 5.0 (Supplementary Table S9). Myosin light chain (c26953_g1) was used as the control reference gene, and relative gene expression levels were calculated using the comparative Ct method with the formula 2−ΔΔCt81. All samples were run in triplicates in separate tubes and each cDNA sample was run in duplicate (Supplementary Figure S2).

Data availability

The sequence data in the present study have been released to the NCBI Sequence Read Archive database ( and the accession numbers of samples are SRS1145819 and SRS1828174 for two reference transcriptome, SRP094135 for nine early developmental stages and SRP061180 for eight adult moulting stages.


  1. Regier, J. C. et al. Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences. Nature 463, 1079–1083, doi:10.1038/nature08742 (2010).

    ADS  CAS  Article  PubMed  Google Scholar 

  2. Chen, P. Y., Lin, A. Y., McKittrick, J. & Meyers, M. A. Structure and mechanical properties of crab exoskeletons. Acta biomaterialia 4, 587–596, doi:10.1016/j.actbio.2007.12.010 (2008).

    Article  PubMed  Google Scholar 

  3. Moussian, B. Recent advances in understanding mechanisms of insect cuticle differentiation. Insect biochemistry and molecular biology 40, 363–375, doi:10.1016/j.ibmb.2010.03.003 (2010).

    CAS  Article  PubMed  Google Scholar 

  4. Promwikorn, W., Boonyoung, P. & Kirirat, P. Histological characterization of cuticular depositions throughout the molting cycle of the black tiger shrimp (Penaeus monodon). Songklanakarin Journal of Science & Technology 27, 499–509 (2005).

    Google Scholar 

  5. Skinner, D. M. Molting and Regeneration. Integument Pigments & Hormonal Processes. 43–146 (1985).

  6. Melnick, C. A., Chen, Z. & Mecholsky, J. J. Hardness and toughness of exoskeleton material in the stone crab, Menippe mercenaria. Journal of Materials Research 11, 2903–2907, doi:10.1557/JMR.1996.0367 (1996).

    ADS  CAS  Article  Google Scholar 

  7. Michels, J. & Gorb, S. N. Detailed three-dimensional visualization of resilin in the exoskeleton of arthropods using confocal laser scanning microscopy. Journal of microscopy 245, 1–16, doi:10.1111/j.1365-2818.2011.03523.x (2012).

    CAS  Article  PubMed  Google Scholar 

  8. Tamanis, E., Mihailova, I., Valainis, U. & Gerbreders, V. Specific characteristics of chitin exoskeleton of leaf weevil phyllobius maculicornis (germar, 1824). Acta Biologica Universitatis Daugavpiliensis 12, 58–64 (2012).

    Google Scholar 

  9. Michels, J., Vogt, J. & Gorb, S. N. Tools for crushing diatoms–opal teeth in copepods feature a rubber-like bearing composed of resilin. Scientific reports 2, 465, doi:10.1038/srep00465 (2012).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  10. Bentov, S., Aflalo, E. D., Tynyakov, J., Glazer, L. & Sagi, A. Calcium phosphate mineralization is widely applied in crustacean mandibles. Scientific reports 6, 22118, doi:10.1038/srep22118 (2016).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. Karlsson, A. M. High Strength and Light-weight Materials Inspired by the Exoskeleton of Arthropods. Aro Exoskeleton Materials (2010).

  12. Shavandi, A., Bekhit, E. D. A., Ali, M. A. & Sun, Z. Bio-mimetic composite scaffold from mussel shells, squid pen and crab chitosan for bone tissue engineering. International journal of biological macromolecules 80, 445–454, doi:10.1016/j.ijbiomac.2015.07.012 (2015).

    CAS  Article  PubMed  Google Scholar 

  13. Ifuku, S., Urakami, T., Izawa, H., Morimoto, M. & Saimoto, H. Preparation of a protein–chitin nanofiber complex from crab shells and its application as a reinforcement filler or substrate for biomineralization. Rsc Advances 5, 1588–1597, doi:10.1039/C5RA12761K (2015).

    Google Scholar 

  14. Chen, Y. & Wang, L. Bio-inspired heterogeneous composites for broadband vibration mitigation. Scientific reports 5, 17865, doi:10.1038/srep17865 (2015).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  15. Li, K. et al. Separation of chito-oligomers with several degrees of polymerization and study of their antioxidant activity. Carbohydrate Polymers 88, 896–903, doi:10.1016/j.carbpol.2012.01.033 (2012).

    CAS  Article  Google Scholar 

  16. Senel, S. & McClure, S. J. Potential applications of chitosan in veterinary medicine. Adv. Drug Deliv. Rev. 56, 1467–1480, doi:10.1016/j.addr.2004.02.007 (2004).

    CAS  Article  PubMed  Google Scholar 

  17. Liao, I. C. & Chien, Y. H. The Pacific White Shrimp, Litopenaeus vannamei, in Asia: The World’s Most Widely Cultured Alien Crustacean. (2011).

  18. Dall, W., Hill, B. J., Rothlisberg, P. C. & Sharples, D. J. The biology of the Penaeidae. (Bailliere, Tindall & Cox, 1933).

  19. Wei, J. et al. Comparative transcriptomic characterization of the early development in Pacific white shrimp Litopenaeus vannamei. PloS one 9, e106201–e106201, doi:10.1371/journal.pone.0106201 (2014).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  20. Roer, R., Abehsera, S. & Sagi, A. Exoskeletons across the Pancrustacea: Comparative Morphology, Physiology, Biochemistry and Genetics. Integrative and comparative biology 55, 771–791, doi:10.1093/icb/icv080 (2015).

    Article  PubMed  Google Scholar 

  21. Chang, E. S. Physiological and biochemical changes during the molt cycle in decapod crustaceans: an overview. Journal of Experimental Marine Biology & Ecology 193, 1–14, doi:10.1016/0022-0981(95)00106-9 (1995).

    CAS  Article  Google Scholar 

  22. Corteel, M. et al. Moult cycle of laboratory-raised Penaeus (Litopenaeus) vannamei and P. monodon. Aquaculture International 20, 13–18, doi:10.1007/s10499-011-9437-9 (2012).

    Article  Google Scholar 

  23. Kuballa, A. V. & Elizur, A. Differential expression profiling of components associated with exoskeletal hardening in crustaceans. BMC genomics 9, 575, doi:10.1186/1471-2164-9-575 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Aiken, D. E. Molting and Growth. (1980).

  25. Yan, N. & Chen, X. Don’t waste seafood waste. Nature 524, 155–157, doi:10.1038/524155a (2015).

    ADS  CAS  Article  PubMed  Google Scholar 

  26. Rocha, J. et al. Cuticular chitin synthase and chitinase mRNA of whiteleg shrimp Litopenaeus vannamei during the molting cycle. Aquaculture 330, 111–115, doi:10.1016/j.aquaculture.2011.12.024 (2012).

    Article  Google Scholar 

  27. Zhang, S. Y. et al. Six chitinases from oriental river prawn Macrobrachium nipponense: cDNA characterization, classification and mRNA expression during post-embryonic development and moulting cycle. Comp. Biochem. Physiol. B-Biochem. Mol. Biol. 167, 30–40, doi:10.1016/j.cbpb.2013.09.009 (2014).

    CAS  Article  PubMed  Google Scholar 

  28. Tynyakov, J. et al. A crayfish molar tooth protein with putative mineralized exoskeletal chitinous matrix properties. Journal of Experimental Biology 218, 3487–3498, doi:10.1242/jeb.123539 (2015).

    Article  PubMed  Google Scholar 

  29. Glazer, L. et al. A protein involved in the assembly of an extracellular calcium storage matrix. The Journal of biological chemistry 285, 12831–12839, doi:10.1074/jbc.M109.071068 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. Shechter, A. et al. A gastrolith protein serving a dual role in the formation of an amorphous mineral containing extracellular matrix. Proceedings of the National Academy of Sciences of the United States of America 105, 7129–7134, doi:10.1073/pnas.0800193105 (2008).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. Sangsuriya, P. et al. Knockdown of a novel G-protein pathway suppressor 2 (GPS2) leads to shrimp mortality by exuvial entrapment during ecdysis. Fish & shellfish immunology 37, 46–52, doi:10.1016/j.fsi.2014.01.007 (2014).

    CAS  Article  Google Scholar 

  32. Pamuru, R. R. et al. Stimulation of molt by RNA interference of the molt-inhibiting hormone in the crayfish Cherax quadricarinatus. General and comparative endocrinology 178, 227–236, doi:10.1016/j.ygcen.2012.05.007 (2012).

    CAS  Article  PubMed  Google Scholar 

  33. Gao, Y., Xu, H., Shen, Y. & Wang, J. Transcriptomic analysis of rice (Oryza sativa) endosperm using the RNA-Seq technique. Plant molecular biology 81, 363–378, doi:10.1007/s11103-013-0009-4 (2013).

    CAS  Article  PubMed  Google Scholar 

  34. Eswaran, J. et al. RNA sequencing of cancer reveals novel splicing alterations. Scientific reports 3, doi:10.1038/srep01689 (2013).

  35. Tom, M. et al. Expression of cytoskeletal and molt-related genes is temporally scheduled in the hypodermis of the crayfish Procambarus clarkii during premolt. The Journal of experimental biology 217, 4193–4202, doi:10.1242/jeb.109009 (2014).

    Article  PubMed  Google Scholar 

  36. Tatusov, R. L., Koonin, E. V. & Lipman, D. J. A genomic perspective on protein families. Science 278, 631–637, doi:10.1126/science.278.5338.631 (1997).

    ADS  CAS  Article  PubMed  Google Scholar 

  37. Yang, H., Li, S., Li, F., Wen, R. & Xiang, J. Analysis on the expression and function of syndecan in the Pacific white shrimp Litopenaeus vannamei. Developmental and comparative immunology 51, 278–286, doi:10.1016/j.dci.2015.03.013 (2015).

    CAS  Article  PubMed  Google Scholar 

  38. Lin, Y. C. et al. Characterization of white shrimp Litopenaeus vannamei integrin beta and its role in immunomodulation by dsRNA-mediated gene silencing. Developmental and comparative immunology 40, 167–179, doi:10.1016/j.dci.2013.01.001 (2013).

    CAS  Article  PubMed  Google Scholar 

  39. Wang, Z. et al. Characterization of two types of vascular endothelial growth factor from Litopenaeus vannamei and their involvements during WSSV infection. Fish & shellfish immunology 47, 824–832, doi:10.1016/j.fsi.2015.10.026 (2015).

    CAS  Article  Google Scholar 

  40. Medina, M. Functional genomics opens doors to understanding metamorphosis in nonmodel invertebrate organisms. Molecular ecology 18, 763–764, doi:10.1111/j.1365-294X.2008.04079.x (2009).

    Article  PubMed  Google Scholar 

  41. Wei, J., Zhang, X., Yu, Y., Li, F. & Xiang, J. RNA-Seq reveals the dynamic and diverse features of digestive enzymes during early development of Pacific white shrimp Litopenaeus vannamei. Comparative biochemistry and physiology. Part D, Genomics & proteomics 11, 37–44, doi:10.1016/j.cbd.2014.07.001 (2014).

    CAS  Article  Google Scholar 

  42. Reynolds, N., O’Shaughnessy, A. & Hendrich, B. Transcriptional repressors: multifaceted regulators of gene expression. Development 140, 505–512, doi:10.1242/dev.083105 (2013).

    CAS  Article  PubMed  Google Scholar 

  43. Yang, P., Chen, X. M., Liu, W. W., Feng, Y. & Sun, T. Transcriptome analysis of sexually dimorphic Chinese white wax scale insects reveals key differences in developmental programs and transcription factor expression. Scientific reports 5, 8141, doi:10.1038/srep08141 (2015).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  44. Di, Z. et al. Genome-wide analysis of homeobox genes from Mesobuthus martensii reveals Hox gene duplication in scorpions. Insect biochemistry and molecular biology 61, 25–33, doi:10.1016/j.ibmb.2015.04.002 (2015).

    CAS  Article  PubMed  Google Scholar 

  45. Chung, J. S. & Webster, S. G. Moult cycle-related changes in biological activity of moult-inhibiting hormone (MIH) and crustacean hyperglycaemic hormone (CHH) in the crab, Carcinus maenas. From target to transcript. European Journal of Biochemistry 270, 3280–3288, doi:10.1046/j.1432-1033.2003.03720.x (2003).

    CAS  Article  PubMed  Google Scholar 

  46. Gao, Y. et al. Whole Transcriptome Analysis Provides Insights into Molecular Mechanisms for Molting in Litopenaeus vannamei. PloS one 10, e0144350, doi:10.1371/journal.pone.0144350 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Muhammad, F., Zhang, Z.-F., Shao, M.-Y., Dong, Y.-P. & Muhammad, S. Ontogenesis of digestive system in Litopenaeus vannamei (Boone, 1931) (Crustacea: Decapoda). Italian Journal of Zoology 79, 1–9, doi:10.1080/11250003.2011.590534 (2011).

    Google Scholar 

  48. Little, G. The larval development of the shrimp, Palaemon macrodactylus Rathbun, reared in the laboratory, and the effect of eyestalk extirpation on development. Crustaceana 17, 69–87, doi:10.1163/156854069X00079 (1969).

    Article  Google Scholar 

  49. Tom, M., Manfrin, C., Giulianini, P. G. & Pallavicini, A. Crustacean oxi-reductases protein sequences derived from a functional genomic project potentially involved in ecdysteroid hormones metabolism - a starting point for function examination. General and comparative endocrinology 194, 71–80, doi:10.1016/j.ygcen.2013.09.003 (2013).

    CAS  Article  PubMed  Google Scholar 

  50. Kuballa, A. V., Holton, T. A., Paterson, B. & Elizur, A. Moult cycle specific differential gene expression profiling of the crab Portunus pelagicus. BMC genomics 12, 147, doi:10.1186/1471-2164-12-147 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  51. Soares, M. P. et al. Genes involved in thoracic exoskeleton formation during the pupal-to-adult molt in a social insect model, Apis mellifera. BMC genomics 14, 576, doi:10.1186/1471-2164-14-576 (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  52. Buchholz, F. Molt Cycle and Seasonal Activities of Chitinolytic Enzymes in the Integument and Digestive-Tract of the Antarctic Krill. 9, 311–317, doi:10.1007/BF00287429 (1989).

  53. Zou, E. & Fingerman, M. Chitobiase activity in the epidermis and hepatopancreas of the fiddler crab Uca pugilator during the molting cycle. Marine Biology 133, 97–101, doi:10.1007/s002270050447 (1999).

    CAS  Article  Google Scholar 

  54. Saleem, F. et al. Molecular characterisation of Bacillus chitinase for bioconversion of chitin waste. Nat. Prod. Res. 30, 720–723, doi:10.1080/14786419.2015.1040789 (2016).

    CAS  Article  PubMed  Google Scholar 

  55. Bajaj, M., Freiberg, A., Winter, J., Xu, Y. M. & Gallert, C. Pilot-scale chitin extraction from shrimp shell waste by deproteination and decalcification with bacterial enrichment cultures. Applied microbiology and biotechnology 99, 9835–9846, doi:10.1007/s00253-015-6841-5 (2015).

    CAS  Article  PubMed  Google Scholar 

  56. Qin, X., Xiang, X. M., Sun, X. W., Ni, H. & Li, L. Preparation of nanoscale Bacillus thuringiensis chitinases using silica nanoparticles for nematicide delivery. International journal of biological macromolecules 82, 13–21, doi:10.1016/j.ijbiomac.2015.10.030 (2016).

    CAS  Article  PubMed  Google Scholar 

  57. Merzendorfer, H. & Zimoch, L. Chitin metabolism in insects: structure, function and regulation of chitin synthases and chitinases. J. Exp. Biol. 206, 4393–4412, doi:10.1242/jeb.00709 (2003).

    CAS  Article  PubMed  Google Scholar 

  58. A-Banat, B. M. A., Kameyama, Y., Yoshioka, T. & Koga, D. Purification and characterization of a 54 kDa chitinase from Bombyx mori. Insect Biochemistry & Molecular Biology 29, 537–547, doi:10.1016/S0965-1748(99)00028-4 (1999).

    CAS  Article  Google Scholar 

  59. Abdelbanat, B. M. A., Zhou, W., Karasuda, S. & Koga, D. Analysis of Hydrolytic Activity of a 65-kDa Chitinase from the Silkworm. Bioscience Biotechnology & Biochemistry 66, 1119–1122, doi:10.1271/bbb.66.1119 (2002).

    CAS  Article  Google Scholar 

  60. Andersen, S. O., Hojrup, P. & Roepstorff, P. Insect cuticular proteins. Insect Biochemistry & Molecular Biology 25, 153–176, doi:10.1016/0965-1748(94)00052-J (1995).

    CAS  Article  Google Scholar 

  61. Shechter, A. et al. Reciprocal Changes in Calcification of the Gastrolith and Cuticle during the Molt Cycle of the Red Claw Crayfish Cherax quadricarinatus. The Biological Bulletin 214, 122–134, doi:10.2307/25066669 (2008).

    CAS  Article  PubMed  Google Scholar 

  62. Abehsera, S. et al. Binary gene expression patterning of the molt cycle: the case of chitin metabolism. PloS one 10, e0122602, doi:10.1371/journal.pone.0122602 (2014).

    Article  PubMed  Google Scholar 

  63. Yudkovski, Y. et al. Hepatopancreatic multi-transcript expression patterns in the crayfish Cherax quadricarinatus during the moult cycle. Insect molecular biology 16, 661–674, doi:10.1111/j.1365-2583.2007.00762.x (2007).

    CAS  Article  PubMed  Google Scholar 

  64. Yudkovski, Y. et al. Multi-transcript expression patterns in the gastrolith disk and the hypodermis of the crayfish Cherax quadricarinatus at premolt. Comparative biochemistry and physiology. Part D, Genomics & proteomics 5, 171–177, doi:10.1016/j.cbd.2010.03.010 (2010).

    Article  Google Scholar 

  65. Greenaway, P. Calcium balance and molting in the Crustacea. Biological Reviews 60, 425–454, doi:10.1111/j.1469-185X.1985.tb00424.x (1985).

    CAS  Article  Google Scholar 

  66. Ueno, M. Calcium transport in crayfish gastrolith disc: Morphology of gastrolith disc and ultrahistochemical demonstration of calcium. Journal of Experimental Zoology 213, 161–171, doi:10.1002/jez.1402130202 (1980).

    CAS  Article  Google Scholar 

  67. Dillaman, R., Hequembourg, S. & Gay, M. Early pattern of calcification in the dorsal carapace of the blue crab, Callinectes sapidus. Journal of Morphology 263, 356–374, doi:10.1002/jmor.10311 (2005).

    Article  PubMed  Google Scholar 

  68. Liang, J., Zhang, L., Xiang, Z. & He, N. Expression profile of cuticular genes of silkworm, Bombyx mori. Bmc Genomics 11, 1702–1716, doi:10.1186/1471-2164-11-173 (2010).

    Article  Google Scholar 

  69. Andersen, S. O. Exoskeletal proteins from the crab, Cancer pagurus. Comparative Biochemistry & Physiology Part A Molecular & Integrative Physiology 123, 203–211, doi:10.1016/S1095-6433(99)00051-3 (1999).

    CAS  Article  Google Scholar 

  70. Sass, M., Kiss, A. & Locke, M. Classes of integument peptides. Insect Biochemistry & Molecular Biology 23, 845–857, doi:10.1016/0965-1748(93)90073-2 (1993).

    CAS  Article  Google Scholar 

  71. O’Brien, J. J. & Skinner, D. M. Proteins of Crustacean Exoskeletons: I. Similarities and Differences among Proteins of the Four Exoskeletal Layers of Four Brachyurans. Biological Bulletin 181, 427–441, doi:10.2307/1542363 (1991).

    Article  Google Scholar 

  72. Grabherr, M. G. et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nature Biotechnology 29, 644–652, doi:10.1038/nbt.1883 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  73. Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L. & Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nature methods 5, 621–628, doi:10.1038/nmeth.1226 (2008).

    CAS  Article  PubMed  Google Scholar 

  74. Conesa, A. et al. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21, 3674–3676, doi:10.1093/bioinformatics/bti610 (2005).

    CAS  Article  PubMed  Google Scholar 

  75. Ye, J. et al. WEGO: a web tool for plotting GO annotations. Nucleic acids research 34, 293–297, doi:10.1093/nar/gkl1031 (2006).

    Article  Google Scholar 

  76. Bindea, G. et al. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics 25, 1091–1093, doi:10.1093/bioinformatics/btp101 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  77. Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. Bmc Bioinformatics 12, 93–99, doi:10.1186/1471-2105-12-323 (2011).

    CAS  Article  Google Scholar 

  78. Wang, L., Feng, Z., Wang, X., Wang, X. & Zhang, X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 26, 136–138, doi:10.1093/bioinformatics/btp612 (2010).

    Article  PubMed  Google Scholar 

  79. de Hoon, M. J., Imoto, S., Nolan, J. & Miyano, S. Open source clustering software. Bioinformatics 20, 1453–1454, doi:10.1093/bioinformatics/bth078 (2004).

    Article  PubMed  Google Scholar 

  80. Saldanha, A. J. Java Treeview—extensible visualization of microarray data. Bioinformatics 20, 3246–3248, doi:10.1093/bioinformatics/bth349 (2004).

    CAS  Article  PubMed  Google Scholar 

  81. Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. methods 25, 402–408, doi:10.1006/meth.2001.1262 (2001).

    CAS  Article  PubMed  Google Scholar 

Download references


This work was financially supported by National Natural Science Foundation of China (31672632, 41376165, 31272397). And the Scientific and Technological Innovation Project of Qingdao National Laboratory for Marine Science and Technology (No. 2015ASKJ02).

Author information

Authors and Affiliations



Conceived and designed the experiments: X.Z., F.L., J.X. Performed the experiments: Y.G., J.W., X.Z. Analyzed the data: Y.G., X.Z. Contributed reagents/materials/analysis tools: J.W., J.Y. Contributed to the writing of the manuscript: Y.G., X.Z., J.X.

Corresponding authors

Correspondence to Xiaojun Zhang or Jianhai Xiang.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Gao, Y., Wei, J., Yuan, J. et al. Transcriptome analysis on the exoskeleton formation in early developmetal stages and reconstruction scenario in growth-moulting in Litopenaeus vannamei . Sci Rep 7, 1098 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing