Identification Of Candidate Genes Research Articles

Rapid function analysis of OsiWAK1 using a Dual-Luciferase assay in rice

In the past decade, the exploration of genetic resources in rice has significantly enhanced the efficacy of rice breeding. However, the exploration of genetic resources is hindered by the identification of candidate genes. To expedite the identification of candidate genes, this study examined tapetum programmed cell death-related genes OsiWAK1, OsPDT1, EAT1, TDR, and TIP2 to assess the efficacy of the Dual-Luciferase (Dual-LUC) assay in rapidly determining gene relationships. The study found that, in the Dual-LUC assay, OsiWAK1 and its various recombinant proteins exhibit comparable activation abilities on the EAT1 promoter, potentially indicating a false positive. However, the Dual-LUC assay can reveal that OsiWAK1 impacts both the function of its upstream regulatory factor OsPDT1 and the TDR/TIP2 transcription complex. By rapidly studying the relationship between diverse candidate genes and regulatory genes in a well-known trait via the Dual-LUC assay, this study provides a novel approach to expedite the determination of candidate genes such as genome-wide association study.

Quantitative evaluation and genome-wide association studies of chrysanthemum flower color

Chrysanthemum, one of the economically most important and highly favored ornamental crops, exhibits a wide range of flower colors that are pivotal in determining its aesthetic value and market demand. However, probably due to the high genetic complexity of flower color traits, the progress in the dissection of genetic architecture and identification of quantitative trait nucleotides (QTNs) or candidate genes moves rather slowly. In this study, we systematically assessed the genetic variation of flower color phenotypes by integrating multiple color systems (RHSCC, CIELAB, and RGB) and four principal floral pigments (anthocyanins, chlorophylls, carotenoids, and flavonoids) in a diverse collection of 141 chrysanthemums. The results showed that the flower color traits exhibited a wide range of variations, with coefficients of variation (CV) varying from 26.00 % to 203.52 %. Among the 66 pairs of flower color traits, 48 exhibited highly significant correlations at p < 0.01 or p < 0.05 levels. Moreover, eight exponential regression models were established for predicting anthocyanin and carotenoid contents. Based on the 370,562 high-quality SNPs, genome-wide association studies (GWAS) revealed 36 QTNs significantly associated with flower color phenotype traits and 109 QTNs for pigment content traits. By integrating the functional annotation and expression profiles, a total of 809 candidate genes surrounding the QTNs were initially filtered out. The candidate genes encompassed multiple transcription factor families related to flavonoid metabolism pathways, including MYB, bHLH, WD40, NAC, and AP2/ERF transcription factors, as well as cytochrome P450-type enzyme genes. The current findings contribute to the accurate assessment of flower colors and provide valuable resources for the molecular breeding and functional analysis of flower color in chrysanthemums.

Identification of QTLs and candidate genes for water-soluble protein content in soybean seeds

Soybean represents a vital source of premium plant-based proteins for human nutrition. Importantly, the level of water-soluble protein (WSP) is crucial for determining the overall quality and nutritional value of such crops. Enhancing WSP levels in soybean plants is a high-priority goal in crop improvement. This study aimed to elucidate the genetic basis of WSP content in soybean seeds by identifying quantitative trait loci (QTLs) and set the foundation for subsequent gene cloning and functional analysis. Using 180 F10 recombinant inbred lines generated by crossing the high-protein soybean cultivar JiDou 12 with the wild variety Ye 9, our researcher team mapped the QTLs influencing protein levels, integrating Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and gene expression profiling to identify candidate genes. During the 2020 and 2022 growing seasons, a standard bell-shaped distribution of protein content trait data was observed in these soybean lines. Eight QTLs affecting protein content were found across eight chromosomes, with LOD scores ranging from 2.59 to 7.30, explaining 4.15–11.74% of the phenotypic variance. Notably, two QTLs were newly discovered, one with a elite allele at qWSPC-15 from Ye 9. The major QTL, qWSPC-19, on chromosome 19 was stable across conditions and contained genes involved in nitrogen metabolism, amino acid biosynthesis, and signaling. Two genes from this QTL, Glyma.19G185700 and Glyma.19G186000, exhibited distinct expression patterns at maturity, highlighting the influence of these genes on protein content. This research revealed eight QTLs for WSP content in soybean seeds and proposed a gene for the key QTL qWSPC-19, laying groundwork for gene isolation and enhanced soybean breeding through the use of molecular markers. These insights are instrumental for developing protein-rich soybean cultivars.

Fine mapping and identification of candidate genes associated with powdery mildew resistance in melon (Cucumis melo L.).

Powdery mildew (PM), a common disease of many major crop species, including melon (Cucumis melo L.), affects plant growth and fruit quality and seriously reduces production. Using a combined morphological and molecular approach, we attribute the PM pathogen that naturally occurs in melon to Podosphaera xanthii, and specifically to physiological race 1. An investigation into the genetic basis of PM resistance in melon using the resistant accession 'PI 164637' and susceptible counterpart 'HDZ' reveals dominant inheritance of PM resistance at the seedling stage, supported by F2 and backcross population segregation ratios. Adult plant assessments indicate a major gene with an additive effect for PM resistance. Bulk segregant analysis coupled with high-throughput sequencing identified a significant quantitative trait locus on chromosome 6 that is associated with PM resistance. Genetic mapping narrowed down the candidate region to 63.5kb using InDel molecular markers, harboring 12 candidate genes. The marker chr06_indel_5 047 127 demonstrated high accuracy in screening PM resistance in an F2 segregating population and 30 inbred lines as natural populations. Functional annotation and expression analysis of candidate genes revealed that MYB transcription factor MELO3C006700, GATA transcription factor MELO3C028829 and heparanase-like protein MELO3C006697 are promising candidate genes for PM resistance in melon. The genetic architecture underlying this resistance in melon offers valuable insights for breeding programs, and the identified markers, especially chr06_indel_5 047 127, may enable practical applications for marker-assisted selection in developing PM-resistant melon varieties.

Nonphotochemical quenching kinetics GWAS in sorghum identifies genes that may play conserved roles in maize and Arabidopsis thaliana photoprotection.

Photosynthetic organisms must cope with rapid fluctuations in light intensity. Nonphotochemical quenching (NPQ) enables the dissipation of excess light energy as heat under high light conditions, whereas its relaxation under low light maximizes photosynthetic productivity. We quantified variation in NPQ kinetics across a large sorghum (Sorghum bicolor) association panel in four environments, uncovering significant genetic control for NPQ. A genome-wide association study (GWAS) confidently identified three unique regions in the sorghum genome associated with NPQ and suggestive associations in an additional 61 regions. We detected strong signals from the sorghum ortholog of Arabidopsis thaliana Suppressor Of Variegation 3 (SVR3) involved in plastid-nucleus signaling. By integrating GWAS results for NPQ across maize (Zea mays) and sorghum-association panels, we identified a second gene, Non-yellowing 1 (NYE1), originally studied by Gregor Mendel in pea (Pisum sativum) and involved in the degradation of photosynthetic pigments in light-harvesting complexes. Analysis of nye1 insertion alleles in A. thaliana confirmed the effect of this gene on NPQ kinetics in eudicots. We extended our comparative genomics GWAS framework across the entire maize and sorghum genomes, identifying four additional loci involved in NPQ kinetics. These results provide a baseline for increasing the accuracy and speed of candidate gene identification for GWAS in species with high linkage disequilibrium.

The Genetic Puzzle of Cerebral Palsy: Results of a Monocentric Study

BackgroundCerebral palsy (CP) is the most frequent cause of motor impairment in children. Although perinatal asphyxia was long considered to be the leading cause of CP, recent studies demonstrate its causation in only around one in 10 individuals with CP. Instead, genetic causes are increasingly demonstrated. We systematically performed clinical phenotyping and genetic investigations in a monocentric CP cohort, aiming to gain insight into the contribution of genetic variants in CP and its different subtypes. MethodsChromosomal microarray and/or trio exome sequencing were systematically performed in 337 individuals with CP between September 2017 and August 2022. Deep phenotyping was performed through clinical multidisciplinary evaluation and review of medical files. ResultsGenetic analyses resulted in an overall diagnostic yield of 38.3% (129 of 337). In cases with one or more comorbidities (intellectual disability, epilepsy, autism spectrum disorder), the yield increased to almost 50%. Functional enrichment analysis showed over-representation of the following pathways: genetic imprinting, DNA modification, liposaccharide metabolic process, neuron projection guidance, and axon development. ConclusionsGenetic analyses in our CP cohort, the largest monocentric study to date, demonstrated a diagnostic yield of 38.3%, highlighting the importance of genetic testing in CP. The diagnosis of a genetic disorder is essential for prognosis and clinical follow-up, as well as for family counseling. Pathway analysis points to dysregulation of general developmental and metabolic processes as well as neuronal development and function. Unraveling the role of these pathways in CP pathogenesis is instrumental for the identification of CP candidate genes as well as potential therapeutic targets.

Identification of candidate genes and molecular mechanisms related to asthma progression using bioinformatics

BackgroundAsthma is a heterogeneous disorder. This study aimed to identify changes in gene expression and molecular mechanisms associated with moderate to severe asthma.MethodsDifferentially expressed genes (DEGs) were analyzed in GSE69683 dataset among moderate asthma and its controls as well as between severe asthma and moderate asthma. Key module genes were identified via co-expression analysis, and the molecular mechanism of the module genes was explored through enrichment analysis and gene set enrichment analysis (GSEA). GSE89809 was used to verify the characteristic genes related to moderate and severe asthma.ResultsAccordingly, 2540 DEGs were present between moderate asthma and the control group, while 6781 DEGs existed between severe asthma and moderate asthma. These genes were identified into 14 co-expression modules. Module 7 had the highest positive correlation with severe asthma and was recognized to be a key module by STEM. Enrichment analysis demonstrated that the module genes were mainly involved in oxidative stress-related signaling pathways. The expression of HSPA1A, PIK3CG and PIK3R6 was associated with moderate asthma, while MAPK13 and MMP9 were associated with severe asthma. The AUC values were verified by GSE89809. Additionally, 322 drugs were predicted to target five genes.ConclusionThese results identified characteristic genes related to moderate and severe asthma and their corresponding molecular mechanisms, providing a basis for future research.

High-resolution mapping through whole-genome resequencing identifies two novel QTLs controlling oil content in peanut

Increasing oil content is a key objective in peanut breeding programs. Accurate identification of quantitative trait loci (QTLs) with linked markers for oil content can greatly aid in marker-assisted selection for high-oil breeding. In this study, a high-density bin map was constructed by resequencing a recombinant inbred line (RIL) population (ZH16×J11) consisting of 295 lines. The bin map contained 4,212 loci and had a total length of 1,162.3 cM. Ten QTLs for oil content were identified in six linkage groups. Notably, two of these QTLs, qOCB03.1 and qOCB06.1, were consistently detected in a minimum of three environments and explained up to 13.62% of phenotypic variation. They have not been reported in previous studies and thus are novel QTLs. The combination of favorable alleles from the qOCB03.1 and qOCB06 in the RIL population could increase oil content across multiple environments from 1.50 to 2.46%. Two InDel markers linked to qOCB03.1 and qOCB06.1 were developed and validated to be associated with oil content in another RIL population (ZH10×ICG12625) with diverse phenotypes. Additionally, the high-resolution map allowed for the precise positioning of qOCB03.1 and qOCB06.1 within a 1.77 Mb-interval on chromosome B03 and a 1.51 Mb- interval on chromosome B06, respectively. Annotation of genomic variants, analysis of transcriptome sequencing, and evaluation of the allelic effects in 292 peanut varieties revealed two candidate genes associated with oil content for each of the two QTLs. The identification of candidate genes in this study can enable the map-based cloning of key genes controlling oil content in peanut. Furthermore, these novel and stable QTLs and their tightly linked markers are valuable for marker-assisted breeding for increased oil content in peanut.

Identification of QTLs and Candidate Genes for Red Crown Rot Resistance in Two Recombinant Inbred Line Populations of Soybean [Glycine max (L.) Merr.]

Identification of QTLs and Candidate Genes for Red Crown Rot Resistance in Two Recombinant Inbred Line Populations of Soybean [Glycine max (L.) Merr.]

QTL mapping and candidate gene identification for lower temperature tolerance and growth traits using whole genome re-sequencing in Argopecten scallops

Lower temperature tolerance (LTT) and growth traits are vital to the success of overwintering scallop farming in the North China Sea. Bohai Red, a novel selected scallop strain is the main aquaculture species in this region. However, its poor LTT hinders its growth. To improve these traits, the larger Bohai Red scallop was crossed with the smaller bay scallop (A. irradians irradians) which tolerates low temperatures. The full-sib F1 hybrids and the whole-genome resequencing (WGR) method were used to construct a high-density genetic linkage map comprising 5925 single nucleotide polymorphisms (SNPs). The consensus linkage map consisted of 16 linkage groups spanning 1343.46 cM with an average distance of 0.23 cM. Based on this genetic linkage map, 42 potentially significant quantitative trait loci (QTLs) for LTT and growth were detected in eight different linkage groups (LGs) explaining 9.2–18.6% of the phenotypic variation. LG11 may regulate both LTT and growth as 20 QTLs were localized there. Eighteen candidate genes were identified, including 2 (SCARF1, SLC28A3) for LTT and 16 for the growth-related traits. To the best of our knowledge, the present work is one of the first to fine-map the LTT and growth-related QTLs in a genetic linkage map for hybrid Argopecten spp. scallops.

QTL detection and candidate gene identification of qCTB1 for cold tolerance in the Yunnan plateau landrace rice.

The online version contains supplementary material available at 10.1007/s11032-024-01488-3.

Identification of quantitative trait loci and candidate genes for grain superoxide dismutase activity in wheat

BackgroundSuperoxide dismutase (SOD) can greatly scavenge reactive oxygen species (ROS) in plants. SOD activity is highly related to plant stress tolerance that can be improved by overexpression of SOD genes. Identification of SOD activity-related loci and potential candidate genes is essential for improvement of grain quality in wheat breeding. However, the loci and candidate genes for relating SOD in wheat grains are largely unknown. In the present study, grain SOD activities of 309 recombinant inbred lines (RILs) derived from the ‘Berkut’ × ‘Worrakatta’ cross were assayed by photoreduction method with nitro-blue tetrazolium (NBT) in four environments. Quantitative trait loci (QTL) of SOD activity were identified using inclusive composite interval mapping (ICIM) with the genotypic data of 50 K single nucleotide polymorphism (SNP) array.ResultsSix QTL for SOD activity were mapped on chromosomes 1BL, 4DS, 5AL (2), and 5DL (2), respectively, explaining 2.2 ~ 7.4% of the phenotypic variances. Moreover, QSOD.xjau-1BL, QSOD.xjau-4DS, QSOD.xjau-5 A.1, QSOD.xjau-5 A.2, and QSOD.xjau-5DL.2 identified are likely to be new loci for SOD activity. Four candidate genes TraesCS4D01G059500, TraesCS5A01G371600, TraesCS5D01G299900, TraesCS5D01G343100LC, were identified for QSOD.xjau-4DS, QSOD.xjau-5AL.1, and QSOD.xjau-5DL.1 (2), respectively, including three SOD genes and a gene associated with SOD activity. Based on genetic effect analysis, this can be used to identify desirable alleles and excellent allele variations in wheat cultivars.ConclusionThese candidate genes are annotated for promoting SOD production and inhibiting the accumulation of ROS during plant growth. Therefore, lines with high SOD activity identified in this study may be preferred for future wheat breeding.

Deciphering Trachinotus ovatus resistance to Streptococcus agalactiae:GWAS identification of key SNPs and candidate genes

The genetic basis of resistance in Trachinotus ovatus to Streptococcus agalactiae, a prevalent pathogen in warm-water fish, was explored in this study. T. ovatus, an economically significant marine fish, is widely distributed in tropical and subtropical oceans. This research involved the whole-genome resequencing of 200 T. ovatus individuals and a genome-wide association study (GWAS) to identify significant single nucleotide polymorphisms (SNPs) associated with resistance to S. agalactiae. Methods included infection experiments with S. agalactiae, quality control of DNA samples, high-throughput sequencing, SNP detection and quality control, analysis of population genetic structure, linkage disequilibrium (LD) analysis, GWAS, screening of candidate genes, and genotyping of significant SNPs. Results indicated a significant association of specific SNP loci with resistance in T. ovatus to S. agalactiae, notably SNP18597184 on chromosome LG9, associated with the NTRK3 and IFNK genes involved in neural development, survival, and immune response.

Assessment of the effect of the CNTF gene rs1800169 polymorphism on serum dopamine levels in patients with vibration disease

Introduction. The modern stage in the study of vibration disease (VD) is characterized by a significant expansion of research in the field of investigating the role of neurotrophic factors that ensure the viability of the neuron and the functioning of the nervous system, as well as the identification of candidate genes encoding the processes underlying the development and course of the disease. An important regulator of brain dopamine neurons is ciliary neurotrophic factor (CNTF), which not only protects neurons from damage but regulates their functions. The functional significance of endogenous CNTF and the polymorphism of its genes to regulate the dopaminergic system are still not well understood. Materials and methods. Serum dopamine concentrations were determined by ELISA. Genotyping of the rs1800169 CNTF gene polymorphism was performed by real-time PCR. Results. In VD patients, an increase in the serum concentration of dopamine and autoantibodies to dopaminergic receptors has been established, which may indicate to changes in the corresponding neuronal systems. The distribution of genotype carriers for the rs1800169 CNTF gene polymorphism in VD individuals was: GG – 72 (0.81); AG – 15 (0.17); AA – 2 (0.02), and alleles – A – 2 (0.02); G – 159 (0.89) and corresponded to the Hardy-Weinberg equilibrium. Positive correlation relationship between frequency of detection of mutant allele A and dopamine level was revealed. The relative risk of exposure of carriers of the AG genotype of the rs1800169 polymorphic locus of the CNTF gene to the group of VD patients and dopamine levels above the reference values is 5.7 times more common than GG carriers. Limitations. The limitations of this work are due to small groups of employees. Conclusion. The association of the rs1800169 polymorphic locus of the CNTF gene with the serum dopamine concentration in VD patients was revealed. Mutant allele A is associated with an elevation in endogenous dopamine levels. Defective secretion of intracellular CNTF in the central nervous system appears to lead to increased dopamine production.

Identification of candidate single-nucleotide polymorphisms (SNPs) and genes associated with sugarcane leaf scald disease

Leaf scald, caused by Xanthomonas albilineans, is a severe disease affecting sugarcane worldwide. One of the most practical ways to control it is by developing resistant sugarcane cultivars. It is essential to identify genes associated with the response to leaf scald. A panel of 170 sugarcane genotypes was evaluated for resistance to leaf scald in field conditions for 2 years, followed by a 1-year greenhouse experiment. The phenotypic evaluation data showed a wide continuous distribution, with heritability values ranging from 0.58 to 0.84. Thirteen single nucleotide polymorphisms (SNPs) were identified, significantly associated with leaf scald resistance. Among these, eight were stable across multiple environments and association models. The candidate genes identified and validated based on RNA-seq and qRT-PCR included two genes that encode NB-ARC leucine-rich repeat (LRR)-containing domain disease-resistance protein. These findings provide a basis for developing marker-assisted selection strategies in sugarcane breeding programs.

Identification of candidate genes controlling cold tolerance at the early seedling stage from Dongxiang wild rice by QTL mapping, BSA-Seq and RNA-Seq

BackgroundThe cold tolerance of rice is closely related to its production and geographic distribution. The identification of cold tolerance-related genes is of important significance for developing cold-tolerant rice. Dongxiang wild rice (Oryza rufipogon Griff.) (DXWR) is well-adapted to the cold climate of northernmost-latitude habitats ever found in the world, and is one of the most valuable rice germplasms for cold tolerance improvement.ResultsTranscriptome analysis revealed genes differentially expressed between Xieqingzao B (XB; a cold sensitive variety) and 19H19 (derived from an interspecific cross between DXWR and XB) in the room temperature (RT), low temperature (LT), and recovery treatments. The results demonstrated that chloroplast genes might be involved in the regulation of cold tolerance in rice. A high-resolution SNP genetic map was constructed using 120 BC5F2 lines derived from a cross between 19H19 and XB based on the genotyping-by-sequencing (GBS) technique. Two quantitative trait loci (QTLs) for cold tolerance at the early seedling stage (CTS), qCTS12 and qCTS8, were detected. Moreover, a total of 112 candidate genes associated with cold tolerance were identified based on bulked segregant analysis sequencing (BSA-seq). These candidate genes were divided into eight functional categories, and the expression trend of candidate genes related to ‘oxidation-reduction process’ and ‘response to stress’ differed between XB and 19H19 in the RT, LT and recovery treatments. Among these candidate genes, the expression level of LOC_Os12g18729 in 19H19 (related to ‘response to stress’) decreased in the LT treatment but restored and enhanced during the recovery treatment whereas the expression level of LOC_Os12g18729 in XB declined during recovery treatment. Additionally, XB contained a 42-bp deletion in the third exon of LOC_Os12g18729, and the genotype of BC5F2 individuals with a survival percentage (SP) lower than 15% was consistent with that of XB. Weighted gene coexpression network analysis (WGCNA) and modular regulatory network learning with per gene information (MERLIN) algorithm revealed a gene interaction/coexpression network regulating cold tolerance in rice. In the network, differentially expressed genes (DEGs) related to ‘oxidation-reduction process’, ‘response to stress’ and ‘protein phosphorylation’ interacted with LOC_Os12g18729. Moreover, the knockout mutant of LOC_Os12g18729 decreased cold tolerance in early rice seedling stage signifcantly compared with that of wild type.ConclusionsIn general, study of the genetic basis of cold tolerance of rice is important for the development of cold-tolerant rice varieties. In the present study, QTL mapping, BSA-seq and RNA-seq were integrated to identify two CTS QTLs qCTS8 and qCTS12. Furthermore, qRT-PCR, genotype sequencing and knockout analysis indicated that LOC_Os12g18729 could be the candidate gene of qCTS12. These results are expected to further exploration of the genetic mechanism of CTS in rice and improve cold tolerance of cultivated rice by introducing the cold tolerant genes from DXWR through marker-assisted selection.

Genome scans reveal signals of selection associated with pollution in fish populations of Basilichthys microlepidotus, an endemic species of Chile

The Maipo River catchment is one of Chile’s most polluted basins. In recent decades, discharges of untreated sewage and organic matter have caused eutrophication and water quality degradation. We employed the indigenous silverfish species Basilichthys microlepidotus as a model organism to investigate the process of adaptation and selection on genes influenced by pollution. Using variation at single nucleotide polymorphisms (SNPs), we determined the temporal stability of the population structure patterns previously identified in this species by varying SNPs. We also examined local adaptation to pollution-selected genes. Using the genotypes of 7684 loci in 180 individuals, we identified 429 and 700 loci that may be undergoing selection. We detected these loci using the FSTHET and ARLEQUIN outlier detection software, respectively. Both software packages simultaneously identified a total of 250 loci. B. microlepidotus' population structure did not change over time at contaminated or unpolluted sites. In addition, our analysis found: (i) selection of genes associated with pollution, consistent with observations in other organisms; (ii) identification of candidate genes that are functionally linked to the same biological processes, molecular functions and/or cellular components that previously showed differential expression in the same populations; and (iii) a candidate gene with differential expression and a non-synonymous substitution.

Identification of SNP Markers and Candidate Genes Associated with Major Agronomic Traits in Coffea arabica.

Genome-wide association studies (GWASs) allow for inferences about the relationships between genomic variants and phenotypic traits in natural or breeding populations. However, few have used this methodology in Coffea arabica. We aimed to identify chromosomal regions with significant associations between SNP markers and agronomic traits in C. arabica. We used a coffee panel consisting of 195 plants derived from 13 families in F2 generations and backcrosses of crosses between leaf rust-susceptible and -resistant genotypes. The plants were phenotyped for 18 agronomic markers and genotyped for 21,211 SNP markers. A GWAS enabled the identification of 110 SNPs with significant associations (p < 0.05) for several agronomic traits in C. arabica: plant height, plagiotropic branch length, number of vegetative nodes, canopy diameter, fruit size, cercosporiosis incidence, and rust incidence. The effects of each SNP marker associated with the traits were analyzed, such that they can be used for molecular marker-assisted selection. For the first time, a GWAS was used for these important agronomic traits in C. arabica, enabling applications in accelerated coffee breeding through marker-assisted selection and ensuring greater efficiency and time reduction. Furthermore, our findings provide preliminary knowledge to further confirm the genomic loci and potential candidate genes contributing to various structural and disease-related traits of C. arabica.

Exploring the genetic architecture of powdery mildew resistance in wheat through QTL meta-analysis.

Powdery mildew (PM), caused by Blumeria graminis f. sp. tritici, poses a significant threat to wheat production, necessitating the development of genetically resistant varieties for long-term control. Therefore, exploring genetic architecture of PM in wheat to uncover important genomic regions is an important area of wheat research. In recent years, the utilization of meta-QTL (MQTL) analysis has gained prominence as an essential tool for unraveling the complex genetic architecture underlying complex quantitative traits. The aim of this research was to conduct a QTL meta-analysis to pinpoint the specific genomic regions in wheat responsible for governing PM resistance. This study integrated 222 QTLs from 33 linkage-based studies using a consensus map with 54,672 markers. The analysis revealed 39 MQTLs, refined to 9 high-confidence MQTLs (hcMQTLs) with confidence intervals of 0.49 to 12.94 cM. The MQTLs had an average physical interval of 41.00 Mb, ranging from 0.000048 Mb to 380.71 Mb per MQTL. Importantly, 18 MQTLs co-localized with known resistance genes like Pm2, Pm3, Pm8, Pm21, Pm38, and Pm41. The study identified 256 gene models within hcMQTLs, providing potential targets for marker-assisted breeding and genomic prediction programs to enhance PM resistance. These MQTLs would serve as a foundation for fine mapping, gene isolation, and functional genomics studies, facilitating a deeper understanding of molecular mechanisms. The identification of candidate genes opens up exciting possibilities for the development of PM-resistant wheat varieties after validation.

Identification and functional characterization of candidate genes involved in biosynthesis of ginsenoside Rg_1

Panax ginseng is a perennial herb with the main active compounds of ginsenosides. Among the reported ginsenosides, ginsenoside Rg_1 not only has a wide range of medicinal functions and abundant content but also is one of the major ginsenoside for the quality evaluation of this herb in the Chinese Pharmacopoeia. The main biosynthesis pathway of ginsenoside Rg_1 in P. ginseng has been clarified, which lays a foundation for the comprehensive and in-depth analysis of the biosynthesis and regulatory mechanism of ginseno-side Rg_1. However, the biosynthesis of ginsenoside Rg_1 is associated with other complex processes involving a variety of regulatory genes and catalyzing enzyme genes, which remain to be studied comprehensively. With the transcriptome data of 344 root samples from 4-year-old P. ginseng plants and their corresponding ginsenoside Rg_1 content obtained in the previous study, this study screened out 217 differentially expressed genes(DEGs) with Rg_1 content changes by DEseq2 analysis in R language. Furthermore, the weighted gene co-expression network analysis(WGCNA) revealed 40 hub genes among the DEGs.Pearsoncorrelation analysis was further perforned to yield 20 candidate genes significantly correlated with ginsenoside Rg_1 content, and these genes were annotated to multiple metabolic processes including primary metabolism and secondary metabolism. Finally, the treatment of P. ginseng adventitious roots with methyl jasmonate indicated that 16 of these genes promoted the biosynthesis of ginsenoside Rg_1 in response to methyl jasmonate induction. Finally, one of the 16 genes was randomly selected to verify the function of the gene by genetic transformation and qRT-PCR and to confirm the rationality of the methodology of this study. The above results lay a foundation for studying the mechanism for regulation on the synthesis of ginsenoside Rg_1 and provide genetic resources for the industrial production of ginsenoside Rg_1.