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Fang Su

Publications and source records attributed to Fang Su.

3 recordsLinked to original sources

Comparative transcriptome analysis provides insights into dorso-ventral color pattern formation of Holothuria edulis.

Animal body color patterns are highly diverse and play critical roles in camouflage, intraspecific communication, and environmental adaptation. Holothuria edulis, an important echinoderm inhabiting tropical waters, exhibits a typical dorsoventral dichromatism. This unique body color difference represents a key phenotypic trait for its habitat adaptation; however, the core differential genes regulating this trait remain to be elucidated. In this study, comparative transcriptome sequencing was performed on the dorsal and ventral body wall tissues of H. edulis, leading to the identification of a number of differentially expressed genes (DEGs), followed by GO functional annotation and KEGG pathway enrichment analysis. GO enrichment analysis indicated that the DEGs were significantly enriched in functional categories such as extracellular region, peptidase inhibitor activity, and tetrapyrrole binding. KEGG pathway analysis further revealed significant enrichment of protein digestion and absorption, the TNF signaling pathway, and cholesterol metabolism. Notably, the pigmentation-related gene FMO2 was highly expressed in the dorsal body wall tissue, whereas cyp1a1, ZIC1, Slc7a11, WNT-1, and ADAMTS20 were highly expressed in the ventral body wall tissue. This study identified DEGs and enriched pathways associated with dorsoventral body color differences in H. edulis, providing new insights into the molecular regulatory mechanisms underlying body color pattern formation. From the perspective of aquaculture applications, body color is one of the important traits affecting the quality and market value of sea cucumber products. Elucidating the molecular mechanisms of body color variation can provide a scientific basis for molecular marker-assisted breeding of superior sea cucumber variety.

Animals↗

[A backward trajectory inversion model for methane emission over Beijing area].

A Backward trajectory inversion model was established for estimating methane emission over Beijing area, with in situ data of methane measurement. The model was systematically tested for its ability on reflecting diffusion processes in atmospheric boundary layers. In specific condition, the model acted excellently on calculating emission strength and distribution over an area of 100 km scale. By applying to Beijing area with 9 days real methane data and practice meteorological data, the model showed source patches in this area with emission rate 0.0066-0.026 mg/(m2.s), which was correspond well to rice fields emission, the major methane source, in this region. Model results of source patches also showed certain spatial correlation with rice fields distribution.

China↗