The Sperm Proteome of the EchiuranUrechis unicinctus(Annelida, Echiura)

Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data

BACKGROUND

Real-time quantitative PCR (RT-qPCR) is a crucial and widely used method for gene expression analysis. Selecting suitable reference genes is extremely important for the accuracy of RT-qPCR results. Commonly used reference genes are not always stable in various organisms or under different environmental conditions. With the increasing application of high-throughput sequencing, transcriptome analysis has become an effective method for identifying novel stable reference genes.

RESULTS

In this study, we identified candidate reference genes based on transcriptome data covering embryos and larvae of early development, normal adult tissues, and the hindgut under sulfide stress using the coefficient of variation (CV) method in the echiuran Urechis unicinctus, resulting in 6834 (15.82%), 7110 (16.85%) and 13880 (35.87%) candidate reference genes, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that the candidate reference genes were significantly enriched in cellular metabolic process, protein metabolic process and ribosome in early development and normal adult tissues as well as in cellular localization and endocytosis in the hindgut under sulfide stress. Subsequently, ten genes including five new candidate reference genes and five commonly used reference genes, were validated by RT-qPCR. The expression stability of the ten genes was analyzed using four methods (geNorm, NormFinder, BestKeeper, and ∆Ct). The comprehensive results indicated that the new candidate reference genes were more stable than most commonly used reference genes. The commonly used ACTB was the most unstable gene. The candidate reference genes STX12, EHMT1, and LYAG were the most stable genes in early development, normal adult tissues, and hindgut under sulfide stress, respectively. The log₂(TPM) of the transcriptome data was significantly negatively correlated with the Ct values of RT-qPCR (Ct =  - 0.5405 log₂(TPM) + 34.51), which made it possible to estimate the Ct value before RT-qPCR using transcriptome data.

CONCLUSION

Our study is the first to select reference genes for RT-qPCR from transcriptome data in Echiura and provides important information for future gene expression studies in U. unicinctus.

Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine Pathogens

The need for efficient and accurate identification of pathogens in seafood and the environment has become increasingly urgent, given the current global pandemic. Traditional methods are not only time consuming but also lead to sample wastage. Here, we have proposed two new methods that involve Raman spectroscopy combined with a long short-term memory (LSTM) neural network and compared them with a method using a normal convolutional neural network (CNN). We used eight strains isolated from the marine organism Urechis unicinctus, including four kinds of pathogens. After the models were configured and trained, the LSTM methods that we proposed achieved average isolation-level accuracies exceeding 94%, not only meeting the requirement for identification but also indicating that the proposed methods were faster and more accurate than the normal CNN models. Finally, through a computational approach, we designed a loss function to explore the mechanism reflected by the Raman data, finding the Raman segments that most likely exhibited the characteristics of nucleic acids. These novel experimental results provide insights for developing additional deep learning methods to accurately analyze complex Raman data.

Biochemistry of mammalian ferritins in the regulation of cellular iron homeostasis and oxidative responses

Ferritin, an iron-storage protein, regulates cellular iron metabolism and oxidative stress. The ferritin structure is characterized as a spherical cage, inside which large amounts of iron are deposited in a safe, compact and bioavailable form. All ferritins readily catalyze Fe(II) oxidation by peroxides at the ferroxidase center to prevent free Fe(II) from participating in oxygen free radical formation via Fenton chemistry. Thus, ferritin is generally recognized as a cytoprotective stratagem against intracellular oxidative damage The expression of cytosolic ferritins is usually regulated by iron status and oxidative stress at both the transcriptional and post-transcriptional levels. The mechanism of ferritin-mediated iron recycling is far from clarified, though nuclear receptor co-activator 4 (NCOA4) was recently identified as a cargo receptor for ferritin-based lysosomal degradation. Cytosolic ferritins are heteropolymers assembled by H- and L-chains in different proportions. The mitochondrial ferritins are homopolymers and distributed in restricted tissues. They play protective roles in mitochondria where heme- and Fe/S-enzymes are synthesized and high levels of ROS are produced. Genetic ferritin disorders are mainly related to the L-chain mutations, which generally cause severe movement diseases. This review is focused on the biochemistry and function of mammalian intracellular ferritin as the major iron-storage and anti-oxidation protein.

The Sperm Proteome of the Oyster Crassostrea hongkongensis

Sperm proteins play vital roles in fertilization, but little is known about their identities in free-spawning marine invertebrates. Here, 286 sperm proteins are reported from the Hong Kong oyster Crassostrea hongkongensis using label-free and semi-quantitative proteomics. Proteins extracted from three sperm samples are separated by SDS-PAGE, analyzed by LC-MS/MS, and identified using Mascot. Functional classification of the sperm proteome reveals energy metabolism (33%), signaling and binding (23%), and protein synthesis and degradation (12%) as the top functional categories. Comparison of orthologous sperm proteins between C. hongkongensis, Crassostrea gigas, Mytilus edulis, and M. galloprovincialis suggests that energy metabolism (48%) is the most conserved functional group. Sequence alignment of the C. hongkongensis bindin, an acrosomal protein that binds the sperm and the egg, with those of three other Crassostrea species, reveals several conserved motifs. The study has enriched the data of invertebrate sperm proteins and may contribute to studies of mechanisms of fertilization in free-spawning invertebrates. The proteomic data are available in ProteomeXchange with the identifier PXD018255.

Identification and characterization of the zebra finch (Taeniopygia guttata) sperm proteome

Spermatozoa exhibit remarkable variability in size, shape, and performance. Our understanding of the molecular basis of this variation, however, is limited, especially in avian taxa. The zebra finch (Taeniopygia guttata) is a model organism in the study of avian sperm biology and sperm competition. Using LC-MS based proteomics, we identify and describe 494 proteins of the zebra finch sperm proteome (ZfSP). Gene ontology and associated bioinformatics analyses revealed a rich repertoire of proteins essential to sperm structure and function, including proteins linked to metabolism and energetics, as well as tubulin binding and microtubule related functions. The ZfSP also contained a number of immunity and defense proteins and proteins linked to sperm motility and sperm-egg interactions. Additionally, while most proteins in the ZfSP appear to be evolutionarily constrained, a small subset of proteins are evolving rapidly. Finally, in a comparison with the sperm proteome of the domestic chicken, we found an enrichment of proteins linked to catalytic activity and cytoskeleton related processes. As the first described passerine sperm proteome, and one of only two characterized avian sperm proteomes, the ZfSP provides a significant step towards a platform for studies of the molecular basis of sperm function and evolution in birds. SIGNIFICANCE: Using highly purified spermatozoa and LC-MS proteomics, we characterise the sperm proteome of the Zebra finch; the main model species for the avian order Passeriformes, the largest and most diverse of the avian clades. As the first described passerine sperm proteome, and one of only two reported avian sperm proteomes, these results will facilitate studies of sperm biology and mechanisms of fertilisation in passerines, as well as comparative studies of sperm evolution and reproduction across birds and other vertebrates.