Chromosome-level assembly of the Hypophthalmichthys molitrix (Cypriniformes: Cyprinidae) genome provides insights into its ecological adaptation

Postmortem Muscle Proteome Characteristics of Silver Carp (Hypophthalmichthys molitrix): Insights from Full-Length Transcriptome and Deep 4D Label-Free Proteomic

The coverage of the protein database directly determines the results of shotgun proteomics. In this study, PacBio single-molecule real-time sequencing technology was performed on postmortem silver carp muscle transcripts. A total of 42.43 Gb clean data, 35,834 nonredundant transcripts, and 15,413 unigenes were obtained. In total, 99.32% of the unigenes were successfully annotated and assigned specific functions. PacBio long-read isoform sequencing (Iso-Seq) analysis can provide more accurate protein information with a higher proportion of complete coding sequences and longer lengths. Subsequently, 2671 proteins were identified in deep 4D proteomics informed by a full-length transcriptomics technique, which has been shown to improve the identification of low-abundance muscle proteins and potential protein isoforms. The feature of the sarcomeric protein profile and information on more than 30 major proteins in the white dorsal muscle of silver carp were reported here for the first time. Overall, this study provides valuable transcriptome data resources and the comprehensive muscle protein information detected to date for further study into the processing characteristic of early postmortem fish muscle, as well as a spectral library for data-independent acquisition and data processing. This batch of muscle-specific dependent acquisition data is available via PRIDE with identifier PXD043702.

Chromosome-level genome assembly of Nibea coibor using PacBio HiFi reads and Hi-C technologies

Nibea coibor belongs to Sciaenidae and is distributed in the South China Sea, East China Sea, India and the Philippines. In this study, we sequenced the DNA of a male Nibea coibor using PacBio long-read sequencing and generated chromatin interaction data. The genome size of Nibea coibor was estimated to be 611.85~633.88 Mb based on k-mer counts generated with Jellyfish. PacBio sequencing produced 29.26 Gb of HiFi reads, and Hifiasm was used to assemble a 627.60 Mb genome with a contig N50 of 10.66 Mb. We further found the canonical telomeric repeats "TTAGGG" to be present at the telomeres of all 24 chromosomes. The completeness of the assembly was estimated to be 98.9% and 97.8% using BUSCO and Merqury, respectively. Using the combination of ab initio prediction, protein homology and RNAseq annotation, we identified a total of 21,433 protein-coding genes. Phylogenetic analyses showed that Nibea coibor and Nibea albiflora are closely related. The results provide an important basis for research on the genetic breeding and genome evolution of Nibea coibor.

Insights into chromosomal evolution and sex determination of Pseudobagrus ussuriensis (Bagridae, Siluriformes) based on a chromosome-level genome

Pseudobagrus ussuriensis is an aquaculture catfish with significant sexual dimorphism. In this study, a chromosome-level genome with a size of 741.97 Mb was assembled for female P. ussuriensis. A total of 26 chromosome-level contigs covering 97.34% of the whole-genome assembly were obtained with an N50 of 28.53 Mb and an L50 of 11. A total of 24,075 protein-coding genes were identified, with 91.54% (22,039) genes being functionally annotated. Based on the genome assembly, four chromosome evolution clusters of catfishes were identified and the formation process of P. ussuriensis chromosomes was predicted. A total of 55 sex-related quantitative trait loci (QTLs) with a phenotypic variance explained value of 100% were located on chromosome 8 (chr08). The QTLs and other previously identified sex-specific markers were located in a sex-determining region of 16.83 Mb (from 6.90 to 23.73 Mb) on chr08, which was predicted as the X chromosome. The sex-determining region comprised 554 genes, with 135 of which being differently expressed between males and females/pseudofemales, and 16 candidate sex-determining genes were screened out. The results of this study provided a useful chromosome-level genome for genetic, genomic and evolutionary studies of P. ussuriensis, and also be useful for further studies on sex-determination mechanism analysis and sex-control breeding of this fish.

MicroSugar: A database of comprehensive miRNA target prediction framework for sugarcane (Saccharum officinarum L.)

microRNA (miRNA) is a group of small non-coding RNA that plays important role in post-transcription of gene expression. With the studies about miRNA increase in sugarcane, the researchers lack an exhaustive resource to achieve the data. To fill this gap, we developed MicroSugar, a database that supported mRNA and miRNA annotation for sugarcane (http://suc.gene-db.com). MicroSugar is an integrated resource developed for 194,528 genes including 80,746 unigenes from long reads of Pacbio platform and 468 miRNAs from 72 samples. Internode elongation (jointing) is the key biological characteristic for the growth of sugarcane tillers into sugarcane stems. The present study combined the sequencing data from the different stages in internode elongation of stem and tiller. In total, the 14,300 3' untranslated region (UTR) sequences were extracted from the gene sequences and 3019 mRNAs as target of 327 miRNA were identified by miRanda algorithm and Spearman's Rho of expression levels. To determine the gene functions regulated by these miRNAs, the gene ontology enrichment analysis was performed and it confirmed that the over-represented Gene Ontology (GO) terms were associated with organism formation indicating the growth controlling function by miRNAs in sugarcane. Moreover, MicroSugar is a comprehensive and integrated database with a user-friendly responsive template. By browsing, searching and downloading of the nucleotide sequences, expression and miRNA targets, the user can retrieve information promptly. The database provides a valuable resource to facilitate the understanding of miRNA in sugarcane development and growth which will contribute to the study of sugarcane and other plants.