bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.12.25.630339

A novel method for in vivo assessment of soft tissue weight in bivalves

Abstract

Aquaculture has been playing an increasingly important role in supplying proteins. To satisfy the rapidly growing demands for quality aquatic foods, the efficiency of aquaculture production needs to be improved. One strategy to achieve more efficient aquaculture production is to produce high-yielding seeds through breeding programs, for which in vivo assessment of target traits is indispensable to prevent candidate parents from being sacrificed for measurement and to track dynamically changing yield-related traits. Farmed mollusks, most of which are bivalves, rank the second among all aquatic animals in aquaculture production. Bivalves with heavier soft tissue, the major edible part, are preferable, target species for breeding and farming. A prerequisite for obtaining such species is to make accurate but nondestructive assessments of soft tissue weight, which cannot be accomplished using traditional dissection- or imaging-based methods. To resolve this issue, we take advantage of the complex relationships among shell dimension- and weight-related traits to construct classical, shell dimension- or wet weight-based models and novel, shell surface area-based models for in vivo assessment of soft tissue weight in Zhikong scallop (Chlamys farreri) and yesso scallop (Patinopecten yessoensis). Overall, soft tissue weight estimated by wet weight-involving models are highly correlated with observed values, indicating wet weight as a key proxy for soft tissue weight. While some models incorporating wet weight tend to systematically over- or under-estimate soft tissue weight despite the strong association between actual and estimated values, the novel, shell surface area-based model, MLR-log10Sshell-RR, generates accurate estimates free of systematic biases across populations of different ages for both species, suggesting it as a promising approach for in vivo assessment of soft tissue weight for scallops and other bivalves with bilaterally symmetrical shells.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Duan, S., Gao, Y., Hu, X., Yin, X.. 2024-12-25. A novel method for in vivo assessment of soft tissue weight in bivalves. https://doi.org/10.1101/2024.12.25.630339

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗

OPA1 controls mitochondrial dysfunction-driven liver fibrosis in MASLD

Progressive hepatic fibrosis is the principal determinant of morbidity and mortality in metabolic dysfunction-associated steatotic liver disease and steatohepatitis (MASLD/MASH). Mitochondrial dysfunction is a hallmark of MASH, and the release of mitochondrial damage-associated molecular patterns (mito-DAMPs) from injured hepatocytes can promote fibrosis. However, how mitochondrial dynamics and quality control shape the fibrotic response in MASLD/MASH remains unclear. Here, through large-scale genomic analyses of mitochondrial genes governing mitophagy, fusion and fission in human MASLD, with a power-equivalent sample size of approximately 700,000 individuals, we identify a strong association between hepatic fibrosis and the mitochondrial fusion factor dynamin-like GTPase optic atrophy 1 (OPA1). OPA1 transcripts and protein abundance in the liver epithelium were progressively dysregulated with advancing fibrosis. In mice, hepatocyte-specific OPA1 loss alone was sufficient to induce hepatic stellate cell activation and fibrosis in zone 3, promoted the release of mito-DAMPs into the circulation and exacerbated fibrosis in experimental MASH. These findings identify OPA1 as a central regulator of the hepatic fibrotic response and connect defective mitochondrial homeostasis to mito-DAMP release, hepatic stellate cell activation and fibrosis in MASLD.

genetics↗