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Background In our previous studies, we demonstrated that the accumulation of carotenoids in QN Orange scallops might be regulated by the vacuolar protein sorting 29 ( VPS29) gene. VPS genes are involved in pigments accumulation (including carotenoids) in some species and VPS29 is known as the core component of the membrane transport complex Retromer . However, the possible mechanism of carotenoids accumulation underlying the VPS29 remains unexplored. This study aimed to further elucidate the roles of VPS29 in the carotenoid deposition. Results Transcriptomic analyses revealed four differentially expressed genes related to carotenoid accumulation, including three down-regulated genes, low-density lipoprotein receptor domain class, scavenger receptor , Niemann Pick C1-like 1, and one up-regulated gene, ATP binding cassette transporter in RNAi group. Results from metabonomic analyses indicated increased profiles of retinol and decreased fatty acids between the RNAi and the control group. Conclusions It thus speculated that VPS may be related to the accumulation of carotenoids as RNAi of VPS 29 seemed to result in a reduction in pectenolone through the blockage in the absorption of carotenoids and an accelerated cleavage of carotenoids into retinol.

Background Color polymorphism, a high-valued trait, is frequently observed in molluscan shellfish. The QN Orange scallop, a new scallop strain successively selected from the interspecific hybrids of the bay scallop (Argopecten irradians irradians) and the Peruvian scallop (Argopecten purpuratus), is distinguished from other scallops by its orange adductor muscles. In this study, to reveal the mechanisms of the formation of adductor muscle coloration in the QN Orange scallops, we compared the proteome and transcriptome of orange adductor muscles of the QN Orange and those of white adductor muscles of the Bohai Red scallop, another strain selected from the interspecific hybrids of the bay scallop and the Peruvian scallop. Results Transcriptomic analysis revealed 416 differentially expressed genes (DEGs) between white and orange adductor muscles, among which 216 were upregulated and 200 were downregulated. Seventy-four differentially expressed proteins (DEPs), including 36 upregulated and 38 downregulated proteins, were identified through label-free proteomics. Among the identified DEGs and DEPs, genes related to carotenoids biosynthesis including apolipophorin, and Cytochrome P450 and those related to melanin biosynthesis including tyrosinase and Ras-related protein Rab-11A were found to express at higher levels in orange adductor muscles. The high expression levels of VPS (vacuolar protein sorting) and TIF (translation initiation factor) in orange adductor muscle tissues indicated that carotenoid accumulation may be affected by proteins outside of the carotenoid pathway. Conclusions Our results implied that the coloration of orange adductor muscles in the QN Orange scallops may be controlled by genes modulating accumulation of carotenoids and melanins. This study may provide valuable information for understanding the mechanisms and pathways underlying adductor muscle coloration in molluscan shellfish. Electronic supplementary material The online version of this article (10.1186/s12864-019-5717-y) contains supplementary material, which is available to authorized users.

The shell color of the Pacific oyster (Crassostrea gigas) is a desirable trait, but only a few genetic studies on shell color have been documented. Through successive selective breeding, four shell color variants of white (W), gold (G), black (B) and purple (P) C. gigas have been developed. The amplified fragment length polymorphism (AFLP) technique was used to scan the genomes of the four variants with different shell colors and one wild population (C) to identify candidate markers for shell polymorphism. Fifteen AFLP primer combinations were used, 1079 loci were scored as polymorphic loci, and the percentage of polymorphic bands was 95.5%. In the gold, white, black, purple and wild populations, the percentages of polymorphic loci were estimated to be 90.5% (G), 90.0% (W), 91.1% (B), 95.3% (P) and 93.2% (C); the expected heterozygosity values were 0.3115 (G), 0.3044 (W), 0.3102 (B), 0.3285 (P) and 0.3105 (C). The white shell variant was observed to have slightly lower genetic diversity than others, with a FST value of 0.1483. These results indicated that the four different shell color variants had high genetic diversity and that the genetic differentiation of populations mostly results from genetic diversity of individuals within populations. Furthermore, 11 outlier loci were considered candidate markers for shell color. This work provides new insights on relationships among color variants of C. gigas.

Accurate classification and identification of the detected terrain is the basis for the long-distance patrol mission of the planetary rover. But terrain measurement based on vision and radar is subject to conditions such as light changes and dust storms. In this paper, under the premise of not increasing the sensor load of the existing rover, a terrain classification and recognition method based on vibration is proposed. Firstly, the time-frequency domain transformation of vibration information is realized by fast Fourier transform (FFT), and the characteristic representation of vibration information is given. Secondly, a deep neural network based on multi-layer perception is designed to realize classification of different terrains. Finally, combined with the Jackal unmanned vehicle platform, the XQ unmanned vehicle platform, and the vibration sensor, the terrain classification comparison test based on five different terrains was completed. The results show that the proposed algorithm has higher classification accuracy, and different platforms and running speeds have certain influence on the terrain classification at the same time, which provides support for subsequent practical applications.