Oil is one of the main components in maize kernels. Increasing the total oil content (TOC) is favorable to optimize feeding requirement by improving maize quality. To better understand the genetic basis of TOC, quantitative trait loci (QTL) in four double haploid (DH) populations were explored. TOC exhibited continuously and approximately normal distribution in the four populations. The moderate to high broad-sense heritability (67.00-86.60%) indicated that the majority of TOC variations are controlled by genetic factors. A total of 16 QTLs were identified across all chromosomes in a range of 3.49-30.84% in term of phenotypic variation explained. Among them, six QTLs were identified as the major QTLs that explained phenotypic variation larger than 10%. Especially, qOC-1-3 and qOC-2-3 on chromosome 9 were recognized as the largest effect QTLs with 30.84% and 21.74% of phenotypic variance, respectively. Seventeen well-known genes involved in fatty acid metabolic pathway located within QTL intervals. These QTLs will enhance our understanding of the genetic basis of TOC in maize and offer prospective routes to clone candidate genes regulating TOC for breeding program to cultivate maize varieties with the better grain quality.

Starch is the principal carbohydrate source in maize kernels. Understanding the genetic basis of starch content (SC) benefits greatly in improving maize yield and optimizing end-use quality. Here, four double haploid (DH) populations were generated and were used to identify quantitative trait loci (QTLs) associated with SC. The phenotype of SC exhibited continuous and approximate normal distribution in each population. A total of 13 QTLs for SC in maize kernels was detected in a range of 3.65-16.18% of phenotypic variation explained (PVE). Among those, only some partly overlapped with QTLs previously known to be related to SC. Meanwhile, 12 genes involved in starch synthesis and metabolism located within QTLs were identified in this study. These QTLs will lay the foundation to explore candidate genes regulating SC in maize kernel and facilitate the application of molecular marker-assisted selection for a breeding program to cultivate maize varieties with a deal of grain quality.

Dopamine hydrochloride (DH) and D-Glutamic acid (D-Glu) are important excitatory neurotransmitters, which are closely relative to central nervous system diseases. Therefore, it is critical to develop the sensitive and facile sensor to precisely monitor the changes of these neurotransmitters. Herein, the gadolinium-doped carbon dots (Gd-CDs) were synthesized by a low-cost and effortless one-pot solvothermal method. These CDs exhibited rapid and reliable fluorescent and colorimetric response signals towards DH and D-Glu. Interestingly, the fluorescence of Gd-CDs could be selectively quenched by DH owing to the fact that the Gd-CDs could coordinate with phenolic hydroxyl groups of DH. Moreover, the quench process was effectively inhibited because the D-Glu competitively coordinated with Gd-CDs-DH system to form a more stable complex. In fluorescence mode, the designed fluorescence sensor possessed an excellent linear relationship for DH in the range from 1 to 10 μM with a low detection limit of 1.26 nM, and the fluorescence could be selectively recovered by D-Glu. In colorimetric manner, DH and D-Glu could be detected by UV-Vis absorption spectrum in the range of 1-15 μM and 1-1.50 mM, respectively. Moreover, the proposed method could not only easily monitor the DH and D-Glu in aqueous solutions as well as mouse serum and human urine samples, but also be employed for detecting DH and D-Glu in cells. Fortunately, the fluorescent and colorimetric dual readout AND logic operation was successfully demonstrated in all-aqueous media. Accordingly, the prepared Gd-CDs hold the potential to become a promising nano-sensor for DH and D-Glu sensing in disease diagnosis areas.

At present, there are still no specific therapeutic drugs and appropriate vaccines for Dengue. Therefore, it is important to explore distinct clinical diagnostic indicators.
In this study, we combined differentially expressed genes (DEGs) analysis, weighted co-expression network analysis (WGCNA) and Receiver Operator Characteristic Curve (ROC) to screen a stable and robust biomarker with diagnosis value for Dengue patients. CIBERSORT was used to evaluate immune landscape of Dengue patients. Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene set enrichment analysis (GSEA) were applied to explore potential functions of hub genes.
CD38 and Plasma cells have excellent Area Under the Curve (AUC) in distinguishing clinical stages for Dengue patients, and activated memory CD4+ T cells and Monocytes have good AUC for this function. ZNF595 has acceptable AUC in discriminating dengue hemorrhagic fever (DHF) from dengue fever (DF) in whole acute stages. Analyzing any serotype, we can obtain consistent results. Negative inhibition of viral replication based on GO, KEGG and GSEA analysis results, up-regulated autophagy genes and the impairing immune system are potential reasons resulting in DHF.
CD38, Plasma cells, activated memory CD4+ T cells and Monocytes can be used to distinguish clinical stages for dengue patients, and ZNF595 can be used to discriminate DHF from DF, regardless of serotypes.

Beef is a source of essential fatty acids (EFA), linoleic (LA) and alpha-linolenic (ALA) acids, which protect against inflammatory and cardiovascular diseases in humans. However, the intramuscular EFA profile in cattle is a complex and polygenic trait. Thus, this study aimed to identify potential regulatory genes of the essential fatty acid profile in Longissimus thoracis of Nellore cattle finished in feedlot. Forty-four young bulls clustered in four groups of fifteen animals with extreme values for each FA were evaluated through differentially expressed genes (DEG) analysis and two co-expression methodologies (WGCNA and PCIT). We highlight the ECHS1, IVD, ASB5, and ERLIN1 genes and the TF NFIA, indicated in both FA. Moreover, we associate the NFYA, NFYB, PPARG, FASN, and FADS2 genes with LA, and the RORA and ELOVL5 genes with ALA. Furthermore, the functional enrichment analysis points out several terms related to FA metabolism. These findings contribute to our understanding of the genetic mechanisms underlying the beef EFA profile in Nellore cattle finished in feedlot.

Manifold and diverse applications of doubled haploid (DH) plants have emerged in academy and in the plant breeding industry since the first discovery of a haploid mutant in the Jimson Weed (Datura stramonium), followed by the first reports about anther culture in the same species, maternal haploids by wide crosses in tobacco (Nicotiana tabacum L.) and barley (Hordeum vulgare L.), interspecific hybridization, ovary culture (gynogenesis), isolated microspore culture, and more recently the CENH3 approach in thale cress (Arabidopsis thaliana L.) and other species. Research and development efforts were and are still significant in both user groups. Luckily, often academic and industrial partners cooperate in challenging and sometimes voluminous projects worldwide. Not only to develop innovative DH protocols and technologies per se, but also to exploit the advantages of DH plants in a huge variety of research and development experiments. This review concentrates not on the DH technologies per se, but on the application of DHs in plant-related research and development projects.

Three phenolic-rich legume varieties underwent in vitro simulated gastrointestinal proteolytic digestion after a wide range of thermal treatments. Total phenolic content (TPC), DPPH free radical scavenging activity (DPPH), degree of hydrolysis (DH), angiotensin-I converting enzyme (ACE) inhibitory activity of hydrolysates showed significant differences among thermal treatments. TPC values of hydrolysates were significantly (p < 0.05) higher than their corresponding undigested counterparts. The DPPH values were significantly (p < 0.05) lower than their corresponding undigested counterparts. DH had no correlations (p > 0.05) with ACE inhibitory activity for all three legumes. When compared with undigested legumes, the simulated gastrointestinal tract proteolytic digestion induced marked changes not only in the content, but also in the type of individual free phenolic acids. The present study clearly implied that literature data of phenolics and their potential health benefits derived from undigested legumes cannot accurately represent the real situations after the digestion process.

Although at first glance the diversity of the immunoglobulin repertoire appears random, there are a number of mechanisms that act to constrain diversity. For example, key mechanisms controlling the diversity of the third complementarity determining region of the immunoglobulin heavy chain (CDR-H3) include natural selection of germline diversity (DH ) gene segment sequence and somatic selection upon passage through successive B-cell developmental checkpoints. To test the role of DH gene segment sequence, we generated a panel of mice limited to the use of a single germline or frameshifted DH gene segment. Specific individual amino acids within core DH gene segment sequence heavily influenced the absolute numbers of developing and mature B-cell subsets, antibody production, epitope recognition, protection against pathogen challenge, and susceptibility to the production of autoreactive antibodies. At the tip of the antigen-binding loop (PDB position 101) in CDR-H3, both natural (germline) and somatic selection favored tyrosine while disfavoring the presence of hydrophobic amino acids. Enrichment for arginine in CDR-H3 appeared to broaden recognition of epitopes of varying hydrophobicity, but led to diminished binding intensity and an increased likelihood of generating potentially pathogenic dsDNA-binding autoreactive antibodies. The phenotype of altering the sequence of the DH was recessive for T-independent antibody production, but dominant for T-cell-dependent responses. Our work suggests that the antibody repertoire is structured, with the sequence of individual DH selected by evolution to preferentially generate an apparently preferred category of antigen-binding sites. The result of this structured approach appears to be a repertoire that has been adapted, or optimized, to produce protective antibodies for a wide range of pathogen epitopes while reducing the likelihood of generating autoreactive specificities.

To increase genetic gain for tolerance to drought, we aimed to identify environmentally stable QTL in per se and testcross combination under well-watered (WW) and drought stressed (DS) conditions and evaluate the possible deployment of QTL using marker assisted and/or genomic selection (QTL/GS-MAS). A total of 169 doubled haploid lines derived from the cross between CML495 and LPSC7F64 and 190 testcrosses (tester CML494) were evaluated in a total of 11 treatment-by-population combinations under WW and DS conditions. In response to DS, grain yield (GY) and plant height (PHT) were reduced while time to anthesis and the anthesis silking interval (ASI) increased for both lines and hybrids. Forty-eight QTL were detected for a total of nine traits. The allele derived from CML495 generally increased trait values for anthesis, ASI, PHT, the normalized difference vegetative index (NDVI) and the green leaf area duration (GLAD; a composite trait of NDVI, PHT and senescence) while it reduced trait values for leaf rolling and senescence. The LOD scores for all detected QTL ranged from 2.0 to 7.2 explaining 4.4 to 19.4% of the observed phenotypic variance with R2 ranging from 0 (GY, DS, lines) to 37.3% (PHT, WW, lines). Prediction accuracy of the model used for genomic selection was generally higher than phenotypic variance explained by the sum of QTL for individual traits indicative of the polygenic control of traits evaluated here. We therefore propose to use QTL-MAS in forward breeding to enrich the allelic frequency for a few desired traits with strong additive QTL in early selection cycles while GS-MAS could be used in more mature breeding programs to additionally capture alleles with smaller additive effects.

Clostridium difficile PCR ribotype 106 (also identified as restriction endonuclease analysis [REA] group DH) recently emerged as the most common strain causing C. difficile infection (CDI) among US adults. We previously identified this strain predominating our pediatric cohort. Pediatric clinical CDI isolates previously characterized by REA underwent antibiotic resistance testing and whole genome sequencing. Of 134 isolates collected from children, 31 (23%) were REA group DH. We performed a comparative genomics analysis to identify DH-associated accessory genes. We identified five DH-associated genes that are associated with virulence in other bacterial species but not previously known to contribute to CDI. These genes are associated with intestinal mucosal adhesion (collagen-binding surface protein), sporulation (sporulation integral membrane protein YtvI), and protection from oxidative stress and foreign DNA (DNA phosphorothioation-dependent restriction proteins, sulfurtransferase, and DNA sulfur modification proteins). The association of these genes was validated in a cohort of 623 publicly available C. difficile sequences, 10 (1.6%) of which were monophyletic to REA group DH through in silico multilocus sequence typing and core genome phylogenetic analysis. Further investigation is required to determine the contribution of these genes to the emergence and virulence of this epidemic strain.