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Genetic linkage maps are indispensable tools in genetic and genomic studies. Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution linkage maps in organisms lacking extensive genomic resources. In the present study, linkage mapping was conducted for a bivalve mollusc (Chlamys farreri) using a newly developed GBS method—2b-restriction site-associated DNA (2b-RAD). Genome survey sequencing was performed to generate a preliminary reference genome that was utilized to facilitate linkage and quantitative trait locus (QTL) mapping in C. farreri. A high-resolution linkage map was constructed with a marker density (3806) that has, to our knowledge, never been achieved in any other molluscs. The linkage map covered nearly the whole genome (99.5%) with a resolution of 0.41 cM. QTL mapping and association analysis congruously revealed two growth-related QTLs and one potential sex-determination region. An important candidate QTL gene named PROP1, which functions in the regulation of growth hormone production in vertebrates, was identified from the growth-related QTL region detected on the linkage group LG3. We demonstrate that this linkage map can serve as an important platform for improving genome assembly and unifying multiple genomic resources. Our study, therefore, exemplifies how to build up an integrative genomic framework in a non-model organism. [ABSTRACT FROM PUBLISHER]

Objective: To identify messenger RNAs (mRNAs) with differential expression in allergic rhinitis (AR) based on an online database, Gene Expression Omnibus (GEO), to provide a new research direction for future diagnosis and treatment of AR., Methods: The GSE44037 dataset from the CEO database was selected to obtain differentially expressed mRNAs (DEmRNAs) in AR. The keywords involved in these DEmRNAs were enriched and analyzed, and ECM1 and CCL2 were selected for subsequent analysis. In addition, BALB/c mice were purchased and randomized to control (normal feeding), model (AR modeling), si-CCL2 (AR modeling + CCL2 suppression by lentivirus vector), nc-CCL2 (AR modeling + CCL2 empty vector), si-ECM1 (AR modeling + ECM1 suppression by lentivirus vector), and nc-ECM1 (AR modeling + ECM1 empty vector) groups. The frequencies of sneezing and nasal rubbing were recorded in each group. Besides, levels of CCL2, ECM1, interleukin (IL)-6, IL-8, tumor necrosis factor (TNF)-α, and high sensitivity C-reactive protein (hs-CRP) were quantified, and the inflammatory infiltration of nasal mucosa (NM) was observed., Results: Twenty-six DEmRNAs were acquired from the GSE44037 dataset, among which only CCL2 and ECM1 were found to be associated with keywords such as "immune response" and "inflammatory response" through enrichment analysis. In animal experiments, CCL2 presented lower mRNA expression in model mice than in control mice, while ECM1 showed higher mRNA expression (P < .05). The frequencies of sneezing and nose rubbing and the levels of inflammatory factors were significantly increased in si-CCL2 mice compared with model mice, while were significantly decreased in si-ECM1 mice (P < .05). The NM inflammatory infiltration was serious in the si-CCL2 group and significantly improved in the si-ECM1 group., Conclusions: Low expression of CCL2 and high expression of ECM1 in AR are strongly linked to the pathological progression of AR, and these two genes are expected to be new research directions for AR diagnosis and treatment.