Maocang Yan

Dr. Maocang Yan

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 December 2013 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
XCXiaojing Chen
Xiaojing Chen
Di WuDi Wu
Di Wu
XGXiaochun Guan
Xiaochun Guan
BLBo Liu
Bo Liu
GLGui Liu
Gui Liu
Huiling ChenHuiling Chen
Huiling Chen

13 September 2024 in Developmental & Comparative Immunology
Verified
Journal Article
Closed access
ZZZhihang Zhu
Zhihang Zhu
WSWei Shi
Wei Shi
FLFang Li
Fang Li
MZMin Zhang
Min Zhang
KLKui Luo
Kui Luo
MYMaocang Yan
Maocang Yan

6 April 2024 in Water
Verified
Journal Article
Open access
PDF file
CCChen Chen
Chen Chen
GYGuijun Yang
Guijun Yang
XCXuechu Chen
Xuechu Chen
PLPengquan Li
Pengquan Li
JCJingfei Chen
Jingfei Chen
CGChong Guo
Chong Guo
To improve the quality of natural seawater to meet the needs of aquaculture production, a large-scale subsurface-flow constructed wetland (HSFCW) was constructed and operated stably for 2 years to understand the reasons for its purification effect on natural seawater. The results of the study showed that the system could maintain a high purification effect on natural seawater during aquaculture; the average removal rates of COD, TSS, TN, NH4+-N, and DON (organic nitrogen) were 22.29%, 49.33%, 36.94%, 10.88%, and 44.08%, respectively. Additionally, the HSFCW could effectively remove harmful algae such as Cyanobacteria; the removal rate of dominant algae species in Cyanobacteria was 90.33–97.93%. The pyrosequencing of 16S ribosomal DNA revealed that Proteobacteria, Nitrospirae, and Chloroflexi were the main and key bacterial phyla in the system. Members of these key gates are regarded as playing important roles in resisting water purification. The study results suggest that the subsurface-flow wetland system can effectively improve seawater quality and reduce the density of harmful algae cells.

15 October 2026 in Biology
Verified
Journal Article
Open access
PDF file
LDLijun Duan
Lijun Duan
YZYiming Zheng
Yiming Zheng
QZQianjin Zhou
Qianjin Zhou
YZYinghao Zhou
Yinghao Zhou
MYMaocang Yan
Maocang Yan
Jiong ChenJiong Chen
Jiong Chen
Microsporidia are obligate intracellular parasites with extensively reduced genomes, yet substantial genomic variation occurs among lineages. Glugea plecoglossi infects ayu (Plecoglossus altivelis) and forms conspicuous xenomas, but its genome characteristics and evolutionary position remain poorly resolved. We generated a genome assembly of G. plecoglossi and compared it with 42 additional microsporidian taxa using phylogenomics, functional profiling, repeat analysis, and multi-copy orthogroup analysis. The 16.71 Mb assembly comprised 59 scaffolds, with a scaffold N50 of 557.5 kb and 78.5% complete BUSCOs, and contained 4331 predicted protein-coding gene loci. Phylogenomic analysis recovered G. plecoglossi as the sister taxon to Pseudoloma neurophilia. Compared with closely related taxa, G. plecoglossi had a substantially larger genome and more predicted protein-coding genes. Major Gene Ontology profiles were broadly similar across taxa, whereas metabolism-related profiles varied considerably. Among 11 genomes, repetitive-sequence composition differed markedly, with G. plecoglossi showing particularly high long terminal repeat coverage and substantial DNA-transposon coverage. The retained multi-copy orthogroups showed highly heterogeneous member distributions across taxa, with relatively high member numbers in G. plecoglossi restricted to a limited subset. These findings highlight genomic and functional variation among microsporidian lineages and provide a comparative genomic resource for future studies of fish-infecting microsporidia.

5 August 2025 in Comparative Biochemistry and Physiology Part D: Genomics and Proteomics
Verified
Journal Article
Closed access
ZZZhihang Zhu
Zhihang Zhu
XHXianke Huang
Xianke Huang
JWJiayan Wu
Jiayan Wu
FLFang Li
Fang Li
KLKui Luo
Kui Luo
MYMaocang Yan
Maocang Yan

Verified
Journal Article
Open access
PDF file
TLTianzan Lyu
Tianzan Lyu
DPDai Ping
Dai Ping
MZMin Zhang
Min Zhang
MYMaocang Yan
Maocang Yan
GQGuangfeng Qiang
Guangfeng Qiang
SLSheng Luan
Sheng Luan
Low-density SNP panels are widely used to reduce genotyping costs in genomic selection (GS) in aquaculture, but sparse marker density can constrain prediction accuracy, particularly in species with rapid linkage disequilibrium decay. In this study, we evaluated a locally enriched multi-SNP (mSNP) strategy derived from a conventional 1K SNP panel in a family-based breeding population of Pacific white shrimp (Penaeus vannamei). Targeted sequencing was used to recover multiple nearby variants surrounding each marker locus, and conventional SNP and mSNP panels were compared for genomic features, imputation performance, and genomic prediction accuracy for body weight. The mSNP panel exhibited higher polymorphism and broader gene-region coverage than the corresponding SNP panel. The original mSNP panel improved prediction accuracy by 11.6% over the original 1K SNP panel. This advantage was maintained or slightly improved when mSNPs were restricted to on-target variants within ±300 bp of the target markers. A locus-matched comparison further showed that enriched mSNPs consistently outperformed conventional SNPs derived from the same target loci, with a 12.0% improvement at the full 961-locus panel. Although imputation improved the 1K SNP panel, the original mSNP panel already outperformed the imputed SNP panel and reached 0.509 after imputation. These findings demonstrate that locally enriched mSNP markers provide an effective and practical strategy for improving low-density GS in aquaculture species with rapid LD decay.