Search Results (232)

“Milky disease” of the Chinese mitten crab (Eriocheir sinensis), caused by Metschnikowia bicuspidata, leads to substantial economic losses. Despite extensive research on its pathogenesis, the genetic basis of host resistance and underlying regulatory mechanisms remain unclear, limiting the development of disease-resistant varieties. This study aimed to (1) evaluate resistance differences among 10 E. sinensis families (five highly resistant and five sensitive) via artificial challenge; (2) identify disease-resistance-associated genetic loci using genome-wide association analysis (GWAS). Our findings revealed that the F05 family exhibited the strongest resistance, with a mortality rate of only 3% and a molting rate of 73%, accompanied by superior growth performance. Whole-genome resequencing identified 10,161,545 high-quality SNPs, and GWAS detected 767 loci significantly associated with disease-resistance traits, among which two pleiotropic SNPs (Chr46:18395778 and Chr1:20680490) were simultaneously associated with both “dead or not” and “qPCR fixed amount of fungi”, reflecting their functional relevance in regulating survival and pathogen load. Notably, we propose for the first time that E. sinensis achieves resistance by inducing M. bicuspidata into a viable but nonculturable (VBNC) state, in which the fungal cells remain metabolically active but cannot form colonies on conventional culture media. This study establishes a multidimensional resistance evaluation system, clarifies the genetic basis and novel mechanism of resistance, and provides valuable molecular markers for marker-assisted breeding. The findings contribute to reducing disease-related losses and promoting sustainable development of the E. sinensis aquaculture industry. Full article

This study aimed to screen candidate genes related to body size traits in Dongfeng sika deer bucks by genome-wide association analysis. A total of 266 adult Dongfeng sika deer underwent 20× whole-genome resequencing. Genome-wide association analysis (GWAS) was performed using a mixed linear model (MLM), and gene annotation was conducted on SNP loci. GO and KEGG enrichment analyses were subsequently conducted to identify biological functions and pathways associated with body size regulation. The GWAS results screened 774 SNP sites significantly associated with body size. Functional enrichment analysis further identified that four genes—CDH4, TSHR, SLC23A2, and RIMS1—were potentially associated with body size traits. This study provides a reference basis for subsequent functional exploration of candidate genes. Full article

Squamosa promoter binding protein (SBP) plays a vital role in plant growth, development, and responses to abiotic stresses. The genus Notopterygium is an endangered perennial herbaceous plant mainly distributed in the high-altitude Qinghai–Tibet Plateau and adjacent areas, which possibly occurred the adaptive evolution to the extreme environmental conditions. In this study, we firstly determined the genome-wide structural characteristics, evolutionary history, and expression profiles of the SBP family genes in Notopterygium species by using genome, transcriptome, and DNA resequencing data. We have also investigated the response patterns of SBPs of N. franchetii to the drought and high-temperature stresses. The 21, 18, and 18 SBP family genes of three Notopterygium species, N. incisum, N. franchetii, and N. forrestii, were, respectively, identified and classified into eight subfamilies, with four subfamily members regulated by miR156. The structure analysis showed that the members of the same SBP subfamily had similar structures and conserved motif composition. Cis-element analysis suggested that those SBP genes may have been essential to the growth and environmental adaptation of Notopterygium. The expansion of the SBP gene family was mainly caused by the whole genome duplication/segmental duplication and transposable element duplication. Evolutionary analysis showed the SBP gene family experienced severe contraction events and most of the gene copies underwent purification selection. Population genetics analysis based on SBPs variations suggested that the genus Notopterygium species have obvious genetic structure and interspecific differentiation. RNA-seq and qRT-PCR experiments demonstrated that the expressions of SBPs genes in Notopterygium were not species-specific, but tissue-specific. NinSBP08 and NinSBP10/12 may have played the key roles in heat tolerance and drought resistance, respectively. These results provided novel insights into the evolutionary history of the SBP gene family in the endangered herb Notopterygium species in the high-altitude Qinghai–Tibet Plateau and adjacent areas. Full article

Since the molecular mechanisms underlying sex determination in Procambarus clarkii are still unclear, it is important to investigate the genetic basis of sex determination in crustaceans. Currently, the molecular mechanisms of sex determination and the gender-specific markers in this species remain poorly understood. In this study, a total of 14,046,984 SNPs and 2,160,652 InDels were identified through genome-wide resequencing of 89 individuals (45 females and 44 males). Further analysis confirmed that the candidate chromosome was Chr38, the sex determination system was identified as XY, and the sex determination region was located at Chr38: 6,000,000–21,100,000 bp. A pair of sex-specific molecular markers has been identified based on a 21 bp female-specific insertion within the candidate sex-determining region. Additionally, SOAT, NPC1, PTGS2, FANCD1, and VAlRS were identified as candidate sex-determining genes through the screening of candidate genes and RT-qPCR validation analysis. These findings provide a robust foundation for investigating sex-determining mechanisms in crustaceans. Through the integration of genome-wide association studies (GWAS), selection signals, and transcriptome analysis, we identified, for the first time, genes associated with sex determination, growth, and immunity. These genes represent promising candidates for further functional studies and genetic improvement in Procambarus clarkii. Full article

Understanding the genetic basis of agronomic traits in quinoa adapted to the Qinghai–Tibet Plateau is essential for developing high-yield cultivars, as conventional breeding is constrained by limited molecular tools. In this study, 300 cultivated accessions were evaluated for five quantitative traits, and whole-genome resequencing generated 3.69 million high-quality SNPs. Population structure analysis and genome-wide association study (GWAS) were conducted, with integration of seed developmental transcriptomes to refine trait-associated loci. A highly admixed genetic background (K = 7) was revealed, and 11 significant QTLs across seven chromosomes were identified, involving genes related to metabolism, transport, and cell-wall formation. Among these, CesA4 (CQ042210) showed a strong association with thousand grain weight (TGW) and a distinct expression maximum at the early seed-filling stage. These results provide a genomic framework for understanding trait variation in plateau-adapted quinoa and highlight promising targets for marker-assisted breeding. Full article

The Yan goose (YE, Anser cygnoides) is a valuable indigenous poultry genetic resource, renowned for its superior meat quality and environmental adaptability. Despite its economic importance, the genetic basis underlying these adaptive traits remains unclear. In this study, we employed whole-genome resequencing (WGS) to perform high-throughput sequencing on a conserved population of 15 samples. Bioinformatic analyses were conducted to systematically evaluate the population’s genetic structure, and a genome-wide scan for selection signals related to economically significant traits was performed using the integrated haplotype score (iHS) method. An average of 4.43 million high-quality SNPs were identified, which were predominantly located in intergenic and intronic regions. Population structure analysis revealed a close genetic relationship within the conserved population of YE, with no significant lineage stratification observed. Pairwise sequentially Markovian coalescent (PSMC) analysis indicated that the YE underwent a severe genetic bottleneck during the Last Glacial Maximum (LGM), followed by gradual population recovery in the early Neolithic period. Genome-wide selection signal scanning identified multiple genomic regions under strong selection, annotating key genes associated with growth and development (e.g., GHRL, AKT1, and MAPK3), lipid deposition (e.g., PLPP4, SAMD8, and LPIN1), and disease resistance and stress resilience (e.g., TP53, STAT3). Functional enrichment analysis revealed significant enrichment of these genes in pathways related to glycerophospholipid metabolism (p < 0.01), purine metabolism (p < 0.01), and immune response (p < 0.01). This study not only provides a theoretical foundation for the scientific conservation of the YE germplasm resources but also offers valuable genomic resources for identifying functional genes underlying important economic traits and advancing molecular breeding strategies. Full article

Soybean is the world’s foremost oilseed crop, and leaf morphology significantly influences yield potential by affecting light interception, canopy structure, and photosynthetic efficiency. In this study, leaf length, leaf width, maximum leaf width, leaf apex opening angle, and leaf area were measured in 216 soybean accessions, and genome-wide association studies (GWAS) were conducted using genomic resequencing data to identify genetic variants associated with leaf morphological traits. A total of 824 SNP loci were found to be significantly associated with leaf shape, and 130 candidate genes were identified in the genomic regions flanking these significant loci. KEGG enrichment analysis revealed that the above candidate genes were significantly enriched in arginine biosynthesis (ko00220), nitrogen metabolism (ko00910), carbon metabolism (ko01200), pyruvate metabolism (ko00620), glycolysis/glycogenolysis (ko00010), starch and sucrose metabolism (ko00500), plant–pathogen interaction (ko04626), and amino acid biosynthesis (ko01230). By combining KEGG and GO enrichment analysis as well as expression level analysis, four candidate genes related to leaf shape (Glyma.10G141600, Glyma.13G062700, Glyma.16G041200 and Glyma.20G115500) were identified. Further, through candidate gene association analysis, it was found that the Glyma.10G141600 gene was divided into two major haplotypes. The leaf area of haplotype 1 was significantly smaller than that of haplotype 2. Subsequently, the cutting amplification polymorphism sequence (CAPS) molecular marker was developed. The marker Chr.10:37502955 can effectively distinguish the differences in leaf size through enzymatic digestion technology, and has excellent typing ability and application potential. The above results can provide a theoretical basis for molecular-assisted selection (MAS) of soybean leaf morphology. Full article

To analyze growth trait differences and genetic characteristics of Siniperca chuatsi from distinct geographic populations, whole-genome resequencing was performed on 90 samples from Heilongjiang (HLJ), Hubei (HB), Hunan (HN), and Anhui (AH), and for the first time, population-unique growth-related loci were detected. Population structure analysis indicated that the four populations were genetically distinct (K = 4). A preliminary Genome-Wide Association Study (GWAS) revealed 26 significant growth-related SNPs linked to 158 potential functional genes, which were primarily enriched in Metabolic pathways, the NOD-like receptor signaling pathway, and Necroptosis, suggesting their possible roles in growth regulation. Non-tag SNP capture within functional genes yielded 24 known significant loci and 118 potentially linked loci. On this basis, one-way ANOVA ultimately identified 13 SNPs significantly associated with growth, and their advantageous genotypes were characterized. Notably, this study revealed, for the first time, that the HLJ population possesses six population-unique genotypes significantly linked to superior growth traits, which may represent population-restricted candidate markers associated with growth-related variation. The results of this study provide new candidate molecular markers and supporting data that may inform future breeding strategies pending further validation. Full article

Polyporus umbellatus is a valuable fungus with both dietary and medicinal applications. However, heterogeneous germplasm and chemical variability constrain its sustainable use. To elucidate the drivers of this variation, whole-genome resequencing and metabolic profiling were integrated. Genome-wide analysis of representative accessions revealed six distinct genetic clusters across China, identifying the Qinling–Daba Mountains as a putative center of diversity. Population analysis indicated severe genetic erosion with significant heterozygote deficits, likely driven by inbreeding and long-term clonal propagation. Multivariate analysis demonstrated that genetic lineage, rather than traditional commercial morphotypes (Zhushiling and Jishiling), is the primary determinant of metabolite accumulation. Specific lineages were identified as superior germplasm candidates: Group 2 consistently exhibited the highest genetic potential for accumulating steroids, whereas Group 4 attained the highest polysaccharide yield. Although the global genetic–chemical correlation was weak, implying environmental plasticity, the distinct clustering of superior lineages confirms that core accumulation patterns are genetically canalized. These findings advocate for shifting quality control from morphological grading to molecular-assisted selection. Ultimately, this framework provides an evidence-based foundation for urgent in situ conservation to restore genetic diversity and facilitates precision breeding of high-efficacy cultivars. Full article

Vibrio mimicus infection poses a severe threat to the sustainable aquaculture of yellow catfish (Pelteobagrus fulvidraco), a commercially important freshwater species of the order Siluriformes. To reveal the genetic mechanisms underlying the resistance to this pathogen, we established an infection model and integrated genome-wide association study (GWAS) and transcriptomics to identify key resistance loci and genes. Firstly, from whole-genome re-sequencing (WGRS) and high-quality genotypic data, six SNP loci significantly associated with resistance to V. mimicus were identified, which were annotated to 17 immune-related candidate genes. Notably, the rac2 gene associated with the locus Chr15:3,227,652 exhibited significantly differential expression in skin tissue. Through transcriptomic analysis, 6684 and 6616 differentially expressed genes were identified from the skin and muscle tissues, respectively. Functional enrichment analysis revealed that the skin, as the first line of defense against pathogens, prioritizes the activation of immune defense mechanisms, whereas muscle tissue responds to infection-induced stress primarily by regulating metabolic processes. Quantitative real-time PCR (qRT-PCR) validated that rac2 enhances the antibacterial capacity of yellow catfish in skin tissue by regulating the expression of NADPH oxidase complex subunits ncf1 and ncf4. This study reveals, for the first time, the core functional genes of yellow catfish associated with resistance to V. mimicus infection, providing theoretical support for disease-resistant breeding of this species. Full article

Background/Objectives: Common vetch (Vicia sativa L.) is a globally cultivated leguminous crop, valued for its high nutritional content and role in sustainable agriculture. Methods: To identify loci or genes significantly associated with salt tolerance, we conducted a genome-wide association study (GWAS) using 172 common vetch accessions primarily from diverse geographic regions. Single-nucleotide polymorphisms (SNPs) were obtained through re-sequencing, and five salt tolerance-related traits, including the germination rate (GR), germination potential (GP), germination index (GI), shoot length (SL), and root length (RL), were evaluated under salt stress conditions. We have identified 20 loci significantly associated with salt tolerance-related traits, and explaining 9.7–21.8% of the phenotypic variation. Notably, 13 loci exhibited pleiotropic effects on multiple traits; include qST1.1 (associated with SL, GR, GI), qST1.3 (RL, SL, GP), qST2.5 (SL, GR, GI, GP), and qST2.7 (SL, RL, GP, GI), and should be prioritized in future breeding programs. All 20 loci are novel compared to previous reports. Furthermore, we identified 7 candidate genes encoding key regulatory proteins, including a zinc finger MYM-type protein, ubiquitin-like domain-containing protein, transcription factor bHLH, ethylene-responsive transcription factor, auxin-responsive protein, and serine/threonine-protein kinase, as potential regulators of salt tolerance. Conclusions: This study advances our understanding of the genetic basis of salt tolerance in common vetch and provides valuable loci, molecular tools, and elite accessions. HZMC1352, GLF303, GLF301, HZMC1387, GLF306, GLF368, GLF342, HZMC1384, HZMC1355, GLF307, HZMC1366 are used for improving salt tolerance in breeding programs. Full article

Donkeys (Equus asinus) are economically and ecologically important livestock species whose genetic potential remains underexplored. This review synthesizes recent advances in donkey genomics, tracing their evolutionary history while evaluating current applications in selective breeding, conservation genetics, and agricultural management. By integrating evidence from population genomics, functional genomics, and comparative evolutionary studies, we summarize major genomic discoveries and identify persistent knowledge gaps, with a focus on translating genomic information into practical breeding outcomes. High-quality reference genomes, population resequencing, and ancient DNA analyses have clarified the African origin, global dispersal history, and environmental adaptation of donkeys. Genome-wide approaches, including GWAS, QTL mapping, and multi-omics analyses, have further identified genes and regulatory pathways associated with thermotolerance, metabolism, reproduction, and milk production. Nevertheless, progress is still limited by small sample sizes, variable sequencing depth, and inconsistencies in phenotyping and bioinformatic pipelines, which constrain cross-population comparisons and practical applications. Addressing these challenges through standardized phenotyping, improved data integration, and collaborative research frameworks will lay the groundwork for effective conservation strategies and sustainable genomic breeding of global donkey populations. Full article

Sea cucumber (Apostichopus japonicus) is a commercially important mariculture species in northern China. Papilla number has been recognized as a key economic trait in sea cucumbers. Notably, significant variation in papilla count exists among different populations. The genetic mechanisms controlling papilla development are not fully understood. In this study, 72 individuals from six geographically distinct sea cucumber populations (Group N1) and 35 individuals from their offspring (Group N2) were analyzed using reduced-representation genome sequencing (RRGS) and whole-genome resequencing (WGS), respectively. Genome-wide association studies (GWAS) and selective sweep analysis were conducted to identify the biological pathways and genetic basis underlying variation in papilla number. The GWAS analysis identified two single-nucleotide polymorphism (SNP) loci on chromosomes 4 and 14 in the Group N1 that were significantly associated with papilla number. Within the vicinity of two SNPs, 48 genes were annotated as putative candidate genes, six of which have been reported to be associated with growth in A. japonicus or other aquatic animals. Selective sweep analysis identified 23 candidate genes in the JZ vs. YT within Group N1 and 39 candidate genes in the G1 vs. G3 within Group N2. Notably, functional enrichment analysis revealed that the Calcium signaling pathway was significantly enriched in both Group N1 and Group N2. This pathway has been demonstrated to regulate key cellular processes such as cell proliferation and differentiation through the activation of downstream signaling cascades. The intersection of results from parental Group N1 and progeny Group N2 yielded a total of six key biological pathways, including biological process, cellular process, cellular anatomical entity, cellular component, membrane, and binding. Collectively, our findings contribute to a deeper understanding of the genetic mechanisms underlying papilla number variation in A. japonicus and provide valuable insights for genomic selection in breeding programs. Full article

Germplasm collections are a treasure trove of humanity. The accessions constituting those collections (wild crop relatives, landraces, cultivars, etc.) contain genes and allelic variants, which evolved prior to or post domestication, in the course of adaptation and selection, and can be used in breeding to address current and future needs. Precise characterisation of genetic diversity is essential for the efficient conservation of genetic resources and their effective utilisation in crop improvement. Detailed genetic profiles resulting from DNA genotyping constitute a basis for establishing the level of genetic diversity of a collection, analysing population structure, identifying redundancies, performing genome-wide association scans (given the availability of phenotypic information), detecting loci under selection, and many other applications. To obtain an accurate picture of genetic diversity (at the DNA sequence level), robust, high-density, high-throughput, and cost-effective methods are needed. With the advances in the next-generation sequencing, new genotyping approaches emerged (such as genotyping-by-sequencing, whole genome resequencing), which provide excellent genome coverage and low cost per datapoint (with tens of thousands to millions of loci analysed in a single assay). Crop-specific, custom, microarray-based genotyping solutions were also developed. The aim of this review is to provide a comparative description of the genome-wide, high-density genotyping technologies that are most frequently used nowadays, comprising their advantages and drawbacks, as well as factors that determine, which of the methods will best suit the particular germplasm characterisation project. Further, we characterise the current role of these methods in addressing the challenges related to the effective management and use of genetic resources and present recent examples of their application in selected crop plant groups. Finally, we briefly describe constraints to germplasm characterisation and future prospects. Full article

Soybean (Glycine max) is a globally important grain and oil crop, but its yield and quality are severely limited by soybean cyst nematode (SCN, Heterodera glycines Ichinohe), a devastating soil-borne pathogen. Here, we evaluated SCN race 3 resistance in 306 soybean germplasms and combined a genome-wide association study (GWAS) with transcriptome analysis to identify key resistance-related genes. GWAS using 30× resequencing data (632,540 SNPs) revealed 77 significant quantitative trait loci (QTLs) associated with SCN resistance, while transcriptome comparison between the extreme resistant accession Dongnong L10 and susceptible Heinong 37 identified 4185 upregulated and 3195 downregulated genes. Integrating these results, we characterized the GmRF2-like gene as a candidate resistance gene. Subcellular localization showed GmRF2-like encodes a nuclear-localized protein. Functional validation via soybean hairy root transformation demonstrated that overexpression of GmRF2-like significantly inhibits SCN race 3 infection. Collectively, our findings confirm that GmRF2-like plays a positive role in soybean resistance to SCN race 3, providing critical insights for dissecting the molecular mechanism of SCN resistance and facilitating the development of resistant soybean varieties. Full article