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A CRISPR-derived 36-bp in-frame deletion in GmOIL2 maintains fertility and seed weight while altering seed-related traits. This allele provides a genetic resource for improving soybean quality without affecting seed weight.
Preen gland bacteria are thought to be the key producers of preen oil components such as chemosignalling molecules including volatile organic compounds (VOCs) and antimicrobial compounds including peptides and antimicrobial VOCs. However, data on the preen oil bacteriome and chemical composition are limited to a small subset of bird species, and the presence of antimicrobial peptides is largely unexplored. Here, we performed an exploratory study to characterize, for the first time, the preen oil chemical and proteomic profiles and to explore the possible contribution of the bacteriome to the production of preen oil VOCs and antimicrobial peptides (bacteriocins) in eight passerine species, each represented by a single individual. Preen oil bacteriome, chemical and proteomic profiles varied among birds. The bacterial profiles were dominated by the genera Streptococcus, Lactococcus, Corynebacterium and Cutibacterium. The chemical profiles mainly consisted of alcohols, ketones and carboxylic acids. The biological functions primarily associated with the proteomic profiles were proteolysis and response to oxidative stress. Although we were unable to explore a direct association between the bacteriome and chemical profiles, the preen oil contained bacteriocin- and VOC-producing bacterial genera capable of producing detected microbially-derived VOCs (mVOCs), the relative abundance of which varied between birds. Riparian species showed the highest chemical diversity and high abundances of putative preen oil mVOC-producing bacteria, which could suggest habitat-specific adaptations. This exploratory study may significantly contribute to the formulation of hypotheses on the potential role of host ecological factors in the variation of preen oil bacterial, chemical and proteomic profiles in passerines.
Fatty acid desaturase (FAD) is a core catalytic enzyme in plants for the synthesis of unsaturated fatty acids, profoundly affecting plant growth, development, and adaptability to various environmental stresses. The walnut (Juglans regia L.) is an important woody oil tree species, and its kernel is rich in unsaturated fatty acids. Systematic identification of the walnut FAD gene family and analysis of its function are of great significance for revealing the molecular mechanisms underlying unsaturated fatty acid metabolism in the walnut. Based on walnut whole-genome data, this study used homology alignment and hidden Markov model search methods to identify the JrFAD gene family members. Subsequently, a variety of bioinformatics tools were used to systematically analyze their structural characteristics, evolutionary expansion mechanism, expression regulation, and function. A total of 21 JrFAD gene family members were identified and classified into five subfamilies. The family genes were unevenly distributed on nine chromosomes. WGD/segmental duplication was the main expansion method, and the duplicated gene pairs experienced strong purification selection. The family gene promoter sequence is rich in regulatory elements that respond to light, plant hormones, and various stresses. The expression pattern analysis showed that JrFAD3.1 and JrFAD2.3 showed high expression specifically during the rapid accumulation of walnut kernel oil. This study clarified the composition and evolutionary characteristics of the FAD gene family in the walnut, which provides useful information for in-depth analyses of its functional mechanism in the regulation of lipid metabolism, and also identified potential candidate gene resources for the genetic improvement of walnut varieties with high amounts of unsaturated fatty acids.
The argan tree (Argania spinosa) is an endemic Moroccan species known for its primary product, argan oil, which possesses exceptional nutritional and medicinal properties. The current study aimed to evaluate and compare the antidiabetic and antioxidant activities of argan oil obtained from the introduced and native argan tree in eastern Morocco, to analyze its chemical composition using HPLC-DAD and GC-MS, and to investigate the molecular mechanisms behind the obtained pharmacological activities through an in silico pharmacological networking and molecular docking study. The results revealed that argan oil from all three regions of Morocco (Oujda, Agadir, and Chouihya) is rich in oleic and linoleic acids as major constituents, along with the presence of significant tocopherols. Regarding the antioxidant assays, including DPPH radical scavenging and iron-reducing power tests, argan oil from Oujda exhibited the highest activity, with the lowest IC50 values of 15.25 ± 0.022 mg/mL and 28.5 ± 1.7 mg/mL, respectively. Concerning the antidiabetic activity, we found that oil from Chaouihya showed the strongest α-amylase inhibition, while Oujda oil had the highest antiglycation activity, indicating that even introduced argan trees retain potent bioactivity. The results of the in silico investigation suggested that tocopherols may contribute to the antioxidant and antidiabetic potential of argan oil, showing predicted antioxidant activity (Pa = 0.843-0.967) and favorable binding affinities toward iNOS (ΔG = -9.3 kcal mol-1) and α-glucosidase (ΔG = -8.2 kcal mol-1). The identified fatty acids also showed predicted insulin-promoting activity (Pa = 0.59-0.75) and moderate enzyme-binding potential. Pharmacological network analysis identified 51 shared genes associated with antioxidant, antidiabetic, and argan-related targets, with enrichment of the AGE-RAGE signaling pathway. These computational findings provide possible molecular associations that may help explain the observed biological activities, although they remain predictive and require experimental validation. Overall, the in silico analysis suggests that tocopherols could be among the contributors to the multi-target profile of Argania spinosa oil, while fatty acids may provide complementary effects related to glycemic regulation.
Seed composition QTL from wild soybean were confirmed and validated in two genetic backgrounds across multiple environments, candidate genes were identified, and agronomic performance of backcross introgression lines was evaluated. Through selection for soybean yield, breeders have inadvertently reduced seed protein content and increased oil due to phenotypic and genetic correlations between these three traits. Therefore, identifying alleles that increase protein without adversely affecting oil and yield is of interest for breeders and the entire soybean value chain. Previously, a G. max × G. soja population was used to map a protein-associated region to ~ 4.6 Mbp on chromosome (Chr) 14. The G. soja allele significantly increased protein 6.5-7.2 g kg-1, without significantly decreasing oil. Additionally, two oil quantitative trait loci (QTL) were reported on Chrs 8 and 14. In this study, we aimed to confirm the Chr 14 protein QTL, evaluate QTL effects on seed composition and agronomic performance, and further fine-map to identify candidate genes. We validated and fine-mapped the Chr 14 protein QTL to a 0.6 Mbp region in a different genetic background, where the G. soja allele significantly increased protein by 9.3 g kg-1. Further, we confirmed the Chr 14 oil QTL linked to the protein QTL and the Chr 8 oil QTL. Chr 14 protein QTL effects on agronomic traits were evaluated in a backcross population across eight environments. The QTL significantly increased protein content, without significantly impacting oil, maturity, or plant height. While the QTL impacted yield and lodging, its effect and significance varied within environments. The candidate genes identified for these three validated seed composition QTL, along with additional molecular markers developed, offer valuable resources for improving seed composition in soybean breeding programs.
This study aimed to evaluate the gut microbiota and mycobiota composition, depending on the Mediterranean diet (MD) adherence, using metataxonomics. Combining metagenomics and metatranscriptomics, we also investigate the gene expression level in the bacterial community. Two groups of healthy subjects greatly differing in adherence were selected. Significant differences in microbiota composition were observed between individuals with high adherence (HAMD; mean 10.5 +/- 0.9 points) and low adherence (LAMD; 5.23 +/- 83 points). Notably, the olive oil, vegetable, and fruit consumption presented an important discriminant power between groups. Saccharomyces, Penicillium, and Candida were the most abundant genera. Mycobiota richness was higher in LAMD than in HAMD. Aspergillus was identified as a biomarker for LAMD, whereas Yarrowia, a potential probiotic, was a biomarker for HAMD. Metatranscriptomics indicated that Bacillota was the most metabolically active phylum in the gut microbiota. The low-abundant genus, Methanobrevibacter, showed high transcriptional activity, contributing to the crucial methanogenesis process. Gene expression analyses further highlighted functional differences. Overall, HAMD microbiota presented increased metabolic activity, protein synthesis, and cellular mobility. Overexpression of flagellin and urease genes may enhance immune response in HAMD. Further metatranscriptomic studies are necessary to deepen our understanding of intestinal microbiota transcriptional programs and their interactions with the diet and human health.
BACKGROUND: Soybean [Glycine max (L.) Merrill] is one of the most widely cultivated crops worldwide. Its seeds contain about 40% protein and 20% oil, serving as essential nutrient sources for humans. Given the nutritional importance of seed protein and oil, identifying genes that regulate their levels is crucial for improving soybean seed quality. OBJECTIVE: This study aimed to identify genetic factors associated with seed protein and oil content using a genome-wide association study (GWAS). METHODS: Seed protein and oil contents were quantified in 192 soybean mutant accessions in a mutant diversity pool (MDP), and GWAS was conducted using 17,631 SNPs filtered from genotyping-by-sequencing. Expression of a candidate gene was examined across seed developmental stages (R5 to R7), and a significant SNP was converted into a Kompetitive Allele-Specific PCR (KASP) marker for validation. RESULTS: GWAS detected significant SNPs associated with seed protein and oil content. Chr20_7635098 was identified as a nonsynonymous SNP located in the exon of Glyma.20g042400. This gene showed differential expression across seed developmental stages between mutant accessions with contrasting protein and oil contents. The KASP marker for Chr20_7635098 was validated using the MDP and six domestic soybean cultivars showing predictive accuracies of ≥ 80.50% for protein content and ≥ 61.18% for oil content. CONCLUSION: Overall, this study identified a candidate gene linked to both seed protein and oil content, providing valuable insights for molecular breeding strategies aimed at efficiently improving these nutritional traits.
Three Gram-stain-negative bacterial strains, KR7-65T, KR7-225T and CN5-332T isolated from oil-contaminated soil in Korea and China were identified. Phylogenetic analysis based on 16S rRNA gene sequences placed the strains within the family Xanthobacteraceae, with KR7-65T and KR7-225T affiliated with the genus Xanthobacter and CN5-332T with the genus Aquabacter. Sequence similarities to type strains of validly published species were below 98.5%. Core genome phylogeny showed that the four strains formed distinct clusters occupying different positions in the phylogenetic tree and exhibited different closest relatives. Average nucleotide identity, average amino acid identity and digital DNA-DNA hybridization (dDDH) values between KR7-65T and KR7-225T and members of Xanthobacter were 78.7-87.0%, 74.8-87.8% and 22.7-32.3%, respectively, whereas those between CN5-332T and members of Aquabacter were 80.2-80.7%, 79.6-80.5% and 23.4-23.9%, supporting their assignment as novel species. The DNA G+C contents were 68.0, 69.9 and 66.5 mol% for KR7-65T, KR7-225T and CN5-332T, respectively. Strains KR7-65T and KR7-225T contained phosphatidylcholine, phosphatidylglycerol, phosphatidyl monomethyl ethanolamine, diphosphatidylglycerol (DPG) and an unidentified glycolipid as major polar lipids, whereas DPG was absent in strain CN5-332T. The primary fatty acids were summed feature 8 (C18 : 1ω7c and/or C18 : 1ω6c), cyclo C19 : 0ω8c and C16 : 0. On the basis of phylogenetic, genomic and phenotypic evidence, strains KR7-65T and KR7-225T represent two novel species of the genus Xanthobacter, for which the names Xanthobacter pollutisoli sp. nov. (type strain KR7-65T=KACC 23453T=NBRC 116939T) and Xanthobacter luteus sp. nov. (type strain KR7-225T=KACC 23282T=NBRC 116940T) are proposed. Strain CN5-332T represents a novel species of the genus Aquabacter, for which the name Aquabacter albus sp. nov. (type strain CN5-332T=KACC 23276T=CCTCC AB 2024343T) is proposed.
Helianthus annuus is an economically important Asteraceae species used for seed oil production and ornamental purposes, but its production is seriously affected by the root-parasitic plant Orobanche cumana. GATA transcription factors are zinc-finger DNA-binding regulators involved in plant development and stress adaptation. However, the molecular characteristics of GATA transcription factors in Helianthus annuus and their contribution to Helianthus annuus -Orobanche cumana interaction remain poorly understood. Here, 36 HaGATA members were retrieved from the Helianthus annuus genome and classified into four phylogenetic clades. Chromosomal placement, collinearity, gene structure, motif composition, and promoter elements varied among the 36 HaGATA members, indicating evolutionary conservation coupled with functional diversification. Expression analysis and RT-qPCR analyses revealed differential expression patterns among HaGATA genes under O. cumana stress, with HaGATA23 markedly downregulated and HaGATA36 strongly upregulated. Overexpression of HaGATA23 was associated with increased malondialdehyde (MDA) accumulation and unfavorable changes in antioxidant enzyme activities, whereas its silencing showed the opposite physiological tendency. In contrast, overexpression of HaGATA36 reduced malondialdehyde accumulation, increased peroxidase (POD), catalase (CAT), and superoxide dismutase (SOD) activities, while its silencing showed the reverse tendency. These results indicate that HaGATA23 and HaGATA36 are candidate genes associated with contrasting redox-related physiological responses during O. cumana stress. This work provides evidence that GATA transcription factors are associated with redox-related physiological responses in sunflower under O. cumana treatment and identifies HaGATA23 and HaGATA36 as functionally divergent candidate genes for further validation.
BACKGROUND: Hemipteran insects harbour several symbiotic partners, mainly bacteria, which play pivotal roles for hosts like dietary provision, support overall physiology, xenobiotic degradation and manipulate/regulate behaviour. Most of these symbionts usually reside and operate from the digestive tracts of the animals. Cotton is one of the major cash crops in India and Dysdercus cingulatus (D. cingulatus) though a secondary pest, is causing significant destruction of cotton bolls, poor lint quality and reduce oil content of seeds. Premature opening of cotton bolls often leads to bacterial and fungal infections, thus resulting in extensive economic loss worldwide. D. cingulatus is a hemimetabolous insect that comprises of developmental stages like egg, nymph (5 instar stages), and adult. The present work explored the ontogeny specific diversity in the associated microbiota and predicted their probable functional inputs in D. cingulatus. RESULTS: The data obtained using 16S rRNA gene sequencing (NovaSeq 6000) revealed presence of members of Proteobacteria (65.83%), Firmicutes (24%), Actinobacteria (10%) phyla throughout the ontogeny of D. cingulatus. Highest alpha diversity of these symbiotic bacteria was recorded in the third instar nymphs in contrast to rest of the developmental stages. Among all the observed genera, Stenotrophomonas, Hungatella and Glutamicibacter were predominant from egg to adult stages. MicFunPred, a tool used for predicting the probable functional inputs of these symbionts, hinted at their probable stage specific contribution in crucial biochemical pathways such as polyketide biosynthesis, ascorbate/aldarate metabolism, pentose phosphate and glyoxylate cycles, steroid hormone and peptidoglycan biosynthesis, and glycolysis/pyruvate metabolism. CONCLUSIONS: The primary investigations on the ontogenetic composition and diversity of associated microbiota, suggest dynamic shifts in D. cingulatus, concurrent with their probable functions/roles in the host development and metabolism. To the best of our knowledge, this is the first report on symbiotic microbiota variation across the developmental stages of D. cingulatus that provides preliminary descriptive observations that may guide future functional and experimental investigations into microbiota-based pest management.
BACKGROUND: Aucklandia lappa Decne, a precious medicinal herb in China, utilises the dried rhizome as its medicinal part, which riches in volatile oils, sesquiterpene compounds and other active constituents. Although the mitogenome of A. lappa has been assembled, related research remains in its preliminary stages, far from achieving comprehensive and in-depth understanding. RESULTS: In this paper, the complete mitogenome of A. lappa was assembled by employing a hybrid strategy that combined Illumina short-read and Nanopore long-read sequencing. The assembled mitogenome is 436,648 bp in size with a GC content of 45.06%. The mitogenome has only one chromosomal structure, It contains 54 genes, including 31 protein-coding genes(PCG), 19 tRNA genes, and 4 rRNA genes. A total of 32 high-frequency codons exhibiting significant AT-bias, 431 RNA editing sites, and 26 homologous fragments were transferred from the chloroplast to mitochondria genes (7,337 bp, 1.68%). Furthermore, we conducted a phylogenetic analysis involving in A. lappa and 27 other taxa to clarify its evolutionary and taxonomic status. These findings provide a foundation for further understanding the evolutionary relationships within Asteraceae plant. CONCLUSION: Through the assembly and comprehensive analysis of A. lappa mitogenome, This study has for the first time fully elucidated its mitogenomic structural characteristics.These results not only provide high-quality genetic resources for research on the Asteraceae mitogenome but also lay a solid foundation for in-depth exploration of the evolution and functional genomics of medicinal plants in the Asteraceae family.