ABSTRACT
Imaging through the fog is valuable for many areas, such as autonomous driving and cosmic exploration. However, due to the influence of strong backscattering and diffuse reflection generated by the dense fog on the temporal-spatial correlations of photons returning from the target object, the reconstruction quality of most existing methods is significantly reduced under dense fog conditions. In this study, we describe the optical scatter imaging process and propose a physics-driven Swin Transformer method utilizing Time-of-Flight (ToF) and Deep Learning principles to mitigate scattering effects and reconstruct targets in conditions of heterogeneous dense fog. The results suggest that, despite the exponential decrease in the number of ballistic photons as the optical thickness of fog increases, the Physics-Driven Swin Transformer method demonstrates satisfactory performance in imaging targets obscured by dense fog. Importantly, this article highlights that even in dense fog imaging experiments with optical thickness reaching up to 3.0, which exceeds previous studies, commonly utilized quantitative evaluation metrics like PSNR and SSIM indicate that our method is cutting-edge in imaging through dense fog.
ABSTRACT
Plants are commonly exposed to abiotic stressors, which can affect their growth, productivity, and quality. Previously, the maize transcription factor ZmCCT was shown to be involved in the photoperiod response, delayed flowering, and quantitative resistance to Gibberella stalk rot. In this study, we demonstrate that ZmCCT can regulate plant responses to drought. ZmCCT physically interacted with ZmFra a 1, ZmWIPF2, and ZmAux/IAA8, which localized to the cell membrane, cytoplasm, and nucleus, respectively, both in vitro and in vivo in a yeast two-hybrid screen in response to abiotic stress. Notably, ZmCCT recruits ZmWIPF2 to the nucleus, which has strong E3 self-ubiquitination activity dependent on its RING-H2 finger domain in vitro. When treated with higher indole-3-acetic acid/abscisic acid ratios, the height and root length of Y331-ΔTE maize plants increased. Y331-ΔTE plants exhibited increased responses to exogenously applied auxin or ABA compared to Y331 plants, indicating that ZmCCT may be a negative regulator of ABA signalling in maize. In vivo, ZmCCT promoted indole-3-acetic acid biosynthesis in ZmCCT-overexpressing Arabidopsis. RNA-sequencing and DNA affinity purification-sequencing analyses showed that ZmCCT can regulate the expression of ZmRD17, ZmAFP3, ZmPP2C, and ZmARR16 under drought. Our findings provide a detailed overview of the molecular mechanism controlling ZmCCT functions and highlight that ZmCCT has multiple roles in promoting abiotic stress tolerance.
Subject(s)
Arabidopsis , Ubiquitin-Protein Ligases , Ubiquitin-Protein Ligases/genetics , Ubiquitin-Protein Ligases/metabolism , Zea mays/genetics , Zea mays/metabolism , Drought Resistance , Plant Proteins/genetics , Plant Proteins/metabolism , Gene Expression Regulation, Plant , Plants, Genetically Modified/genetics , Abscisic Acid/metabolism , Indoleacetic Acids/metabolism , Arabidopsis/genetics , Droughts , Stress, Physiological/geneticsABSTRACT
PURPOSE: A fracture of the posterior talar process is easily missed because of its hidden position. Inappropriate treatment is likely to result in complications, such as nonunion of the fracture and traumatic arthritis. This study evaluated the outcomes of arthroscopy-assisted reduction combined with robotic-assisted screw placement in the treatment of fractures of the posterior talar process. METHODS: The clinical data for nine patients who underwent surgical treatment of a fracture of the posterior talar process at our institution between September 2017 and January 2021 were retrospectively reviewed. Arthroscopy-assisted reduction of the fracture was performed, and a cannulated screw was placed using three-dimensional orthopedic robotic-assisted navigation. RESULTS: The patients (seven men, two women) had a mean age of 36.33 ± 9.77 years and were followed up for 21 ± 5.43 months. The operation time was 106.67 ± 24.5 min with blood loss of 47.78 ± 9.05 ml. Primary healing was obtained in all cases, and no patient sustained a nerve or tendon injury, had fracture nonunion, or developed talar osteonecrosis. One patient developed subtalar arthritis, for which subtalar joint fusion was performed; pain was markedly less severe after cleaning. CONCLUSION: Arthroscopy-assisted reduction and robotic-assisted screw placement have the advantages of visualization of fracture reduction, minimal injury, and precise screw placement in the treatment of fractures of the posterior talar process.
Subject(s)
Arthritis , Fractures, Bone , Robotic Surgical Procedures , Talus , Male , Humans , Female , Adult , Middle Aged , Fracture Fixation, Internal/adverse effects , Fracture Fixation, Internal/methods , Robotic Surgical Procedures/adverse effects , Arthroscopy/adverse effects , Retrospective Studies , Fractures, Bone/surgery , Bone Screws , Talus/diagnostic imaging , Talus/surgery , Talus/injuries , Treatment OutcomeABSTRACT
Passive non-line-of-sight (NLOS) imaging is a promising technique to enhance visual perception for the occluded object hidden behind the wall. Here we present a data-driven NLOS imaging framework by using polarization cue and long-wavelength infrared (LWIR) images. We design a dual-channel input deep neural network to fuse the intensity features from polarized LWIR images and contour features from polarization degree images for NLOS scene reconstruction. To train the model, we create a polarized LWIR NLOS dataset which contains over ten thousand images. The paper demonstrates the passive NLOS imaging experiment in which the hidden people is approximate 6 meters away from the relay wall. It is an exciting finding that even the range is further than that in the prior works. The quantitative evaluation metric of PSNR and SSIM show that our method as an advance over state-of-the-art in passive NLOS imaging.
ABSTRACT
KEY MESSAGE: We identified a quantitative trait locus, qPss3, and fine-mapped the causal locus to a 120-kb interval in maize. This locus inhibits the photoperiod sensitivity caused by ZmCCT9 and ZmCCT10, resulting in earlier flowering by 2 ~ 4 days without reduction in stalk-rot resistance in certain genotypes. Photoperiod sensitivity is a key factor affecting the adaptation of maize (Zea mays L.) to high-latitude growing areas. Although many genes associated with flowering time have been identified in maize, no gene that inhibits photoperiod sensitivity has been reported. In our previous study, we detected large differences in photoperiod sensitivity among maize inbred lines with the same photoperiod-sensitive allele at the ZmCCT10 locus. Here, we used two segregating populations with the same genetic backgrounds but different ZmCCT10 alleles to perform quantitative trait locus (QTL) analysis. We identified a unique QTL, qPss3, on chromosome 3 in the population carrying the sensitive ZmCCT10 allele. After sequential fine-mapping, we eventually delimited qPss3 to an interval of ~ 120 kb. qPss3 behaved as a dominant locus and caused earlier flowering by 2-4 days via inhibiting ZmCCT10-induced photoperiod sensitivity under long-day conditions. qPss3 also inhibited the photoperiod sensitivity induced by another flowering-related gene, ZmCCT9. For application in agriculture, an F1 hybrid heterozygous at both qPss3 and ZmCCT10 loci constitutes an optimal allele combination, showing high resistance to stalk rot without a significant delay in flowering time. Moreover, qPss3 is of great value in regulating the flowering time of tropical maize grown at high-latitude regions.
Subject(s)
Photoperiod , Quantitative Trait Loci , Zea mays/genetics , Genotype , Flowers/geneticsABSTRACT
Dirigent proteins (DIRs) contribute to plant fitness by dynamically reorganizing the cell wall and/or by generating defense compounds during plant growth, development, and interactions with environmental stresses. ZmDRR206 is a maize DIR, it plays a role in maintaining cell wall integrity during seedling growth and defense response in maize, but its role in regulating maize kernel development is unclear. Association analysis of candidate genes indicated that the natural variations of ZmDRR206 were significantly associated with maize hundred-kernel weight (HKW). ZmDRR206 plays a dominant role in storage nutrient accumulation in endosperm during maize kernel development, ZmDRR206 overexpression resulted in small and shrunken maize kernel with significantly reduced starch content and significantly decreased HKW. Cytological characterization of the developing maize kernels revealed that ZmDRR206 overexpression induced dysfunctional basal endosperm transfer layer (BETL) cells, which were shorter with less wall ingrowth, and defense response was constitutively activated in developing maize kernel at 15 and 18 DAP by ZmDRR206 overexpression. The BETL-development-related genes and auxin signal-related genes were down-regulated, while cell wall biogenesis-related genes were up-regulated in developing BETL of the ZmDRR206-overexpressing kernel. Moreover, the developing ZmDRR206-overexpressing kernel had significantly reduced contents of the cell wall components such as cellulose and acid soluble lignin. These results suggest that ZmDRR206 may play a regulatory role in coordinating cell development, storage nutrient metabolism, and stress responses during maize kernel development through its role in cell wall biogenesis and defense response, and provides new insights into understanding the mechanisms of kernel development in maize.
Subject(s)
Endosperm , Zea mays , Endosperm/genetics , Endosperm/metabolism , Zea mays/metabolism , Starch/metabolism , Indoleacetic Acids/metabolism , Cell Differentiation/genetics , Plant Proteins/metabolism , Gene Expression Regulation, PlantABSTRACT
In contrast to large-effect qualitative disease resistance, quantitative disease resistance (QDR) exhibits partial and generally durable resistance and has been extensively utilized in crop breeding. The molecular mechanisms underlying QDR remain largely unknown but considerable progress has been made in this area in recent years. In this review, we summarize the genes that have been associated with plant QDR and their biological functions. Many QDR genes belong to the canonical resistance gene categories with predicted functions in pathogen perception, signal transduction, phytohormone homeostasis, metabolite transport and biosynthesis, and epigenetic regulation. However, other "atypical" QDR genes are predicted to be involved in processes that are not commonly associated with disease resistance, such as vesicle trafficking, molecular chaperones, and others. This diversity of function for QDR genes contrasts with qualitative resistance, which is often based on the actions of nucleotide-binding leucine-rich repeat (NLR) resistance proteins. An understanding of the diversity of QDR mechanisms and of which mechanisms are effective against which classes of pathogens will enable the more effective deployment of QDR to produce more durably resistant, resilient crops.
Subject(s)
Disease Resistance , Epigenesis, Genetic , Disease Resistance/genetics , Plant Breeding , Crops, Agricultural/genetics , Genes, Plant , Plant Diseases/geneticsABSTRACT
BACKGROUND: Maize rough dwarf disease (MRDD), a widespread disease caused by four pathogenic viruses, severely reduces maize yield and grain quality. Resistance against MRDD is a complex trait that controlled by many quantitative trait loci (QTL) and easily influenced by environmental conditions. So far, many studies have reported numbers of resistant QTL, however, only one QTL have been cloned, so it is especially important to map and clone more genes that confer resistance to MRDD. RESULTS: In the study, a major quantitative trait locus (QTL) qMrdd2, which confers resistance to MRDD, was identified and fine mapped. qMrdd2, located on chromosome 2, was consistently identified in a 15-Mb interval between the simple sequence repeat (SSR) markers D184 and D1600 by using a recombinant inbred line (RIL) population derived from a cross between resistant ("80007") and susceptible ("80044") inbred lines. Using a recombinant-derived progeny test strategy, qMrdd2 was delineated to an interval of 577 kb flanked by markers N31 and N42. We further demonstrated that qMrdd2 is an incompletely dominant resistance locus for MRDD that reduced the disease severity index by 20.4%. CONCLUSIONS: A major resistance QTL (qMrdd2) have been identified and successfully refined into 577 kb region. This locus will be valuable for improving maize variety resistance to MRDD via marker-assisted selection (MAS).
Subject(s)
Disease Resistance/genetics , Plant Diseases/genetics , Plant Diseases/virology , Quantitative Trait Loci/genetics , Zea mays/genetics , Zea mays/virology , Analysis of Variance , Genetic Linkage , Inbreeding , Models, Genetic , Phenotype , Physical Chromosome MappingABSTRACT
Disease resistance is essential for reliable maize production. In a long-term tug-of-war between maize and its pathogenic microbes, naturally occurring resistance genes gradually accumulate and play a key role in protecting maize from various destructive diseases. Recently, significant progress has been made in deciphering the genetic basis of disease resistance in maize. Enhancing disease resistance can now be explored at the molecular level, from marker-assisted selection to genomic selection, transgenesis technique, and genome editing. In view of the continuing accumulation of cloned resistance genes and in-depth understanding of their resistance mechanisms, coupled with rapid progress of biotechnology, it is expected that the large-scale commercial application of molecular breeding of resistant maize varieties will soon become a reality.
ABSTRACT
[This corrects the article DOI: 10.1007/s11032-021-01219-y.].
ABSTRACT
Interfacial electron transfer between cocatalyst and photosensitizer is key in heterogeneous photocatalysis, yet the underlying mechanism remains subtle and unclear. Surfactant coated on the metal cocatalysts, greatly modulating the microenvironment of catalytic sites, is largely ignored. Herein, a series of Pt co-catalysts with modulated microenvironments, including polyvinylpyrrolidone (PVP) capped Pt nanoparticles (denoted as PtPVP ), Pt with partially removed PVP (PtrPVP ), and clean Pt without PVP (Pt), were encapsulated into a metal-organic framework (MOF), UiO-66-NH2 , to afford PtPVP @UiO-66-NH2 , PtrPVP @UiO-66-NH2 , and Pt@UiO-66-NH2 , respectively, for photocatalytic hydrogen production. The PVP appears to have a negative influence on the interfacial electron transfer between Pt and the MOF. Compared with PtPVP @UiO-66-NH2 , the removal of interfacial PVP improves the sluggish kinetics of electron transfer, boosting photocatalytic hydrogen production.
ABSTRACT
BACKGROUND: The low grain water content (GWC) at harvest is a prerequisite to mechanical harvesting in maize, or otherwise would cause massive broken kernels and increase drying costs. The GWC at harvest in turn depends on GWC at the physiological maturity (PM) stage and grain dehydration rate (GDR). Both GWC and GDR are very complex traits, governed by multiple quantitative trait loci (QTL) and easily influenced by environmental conditions. So far, a number of experiments have been conducted to reveal numbers of GWC and GDR QTL, however, very few QTL have been confirmed, and no QTL has been fine-mapped or even been cloned. RESULTS: We demonstrated that GWCs after PM were positively correlated with GWC at PM, whereas negatively with GDRs after PM. With a recombinant inbred line (RIL) population, we identified totally 31 QTL related to GWC and 17 QTL related to GDR in three field trials. Seven GWC QTL were consistently detected in at least two of the three field trials, each of which could explain 6.92-24.78% of the total GWC variation. Similarly, one GDR QTL was consistently detected, accounting for 9.44-14.46% of the total GDR variation. Three major GWC QTL were found to overlap with three GDR QTL in bins 1.05/06, 2.06/07, and 3.05, respectively. One of the consistent GWC QTL, namely qGwc1.1, was fine-mapped from a 27.22 Mb to a 2.05 Mb region by using recombinant-derived progeny test. The qGwc1.1 acted in a semi-dominant manner to reduce GWC by 1.49-3.31%. CONCLUSIONS: A number of consistent GWC and GDR QTL have been identified, and one of them, QTL-qGwc1.1, was successfully refined into a 2.05 Mb region. Hence, it is realistic to clone the genes underlying the GWC and GDR QTL and to make use of them in breeding of maize varieties with low GWC at harvest.
Subject(s)
Edible Grain/metabolism , Quantitative Trait Loci , Water/metabolism , Zea mays/genetics , Chromosome Mapping , Edible Grain/genetics , Zea mays/metabolismABSTRACT
Fusarium ear rot (FER) caused by Fusarium verticillioides is one of the most prevalent maize diseases in China and worldwide. Resistance to FER is a complex trait controlled by multiple genes highly affected by environment. In this paper, genome-wide association study (GWAS), bulked sample analysis (BSA), and genomic prediction were performed for understanding FER resistance using 509 diverse inbred lines, which were genotyped by 37,801 high-quality single-nucleotide polymorphisms (SNPs). Ear rot evaluation was performed using artificial inoculation in four environments in China: Xinxiang, Henan, and Shunyi, Beijing, during 2017 and 2018. Significant phenotypic and genetic variation for FER severity was observed, and FER resistance was significantly correlated among the four environments with a generalized heritability of 0.78. GWAS identified 23 SNPs that were associated with FER resistance, 2 of which (1_226233417 on chromosome 1 and 10_14501044 on chromosome 10) were associated at threshold of 2.65 × 10-7 [-log(0.01/37,801)]. Using BSA, resistance quantitative trait loci were identified on chromosomes 3, 4, 7, 9, and 10 at the 90% confidence level and on chromosomes 3 and 10 at the 95% confidence level. A key region, bin 10.03, was detected by both GWAS and BSA. Genomic prediction for FER resistance showed that the prediction accuracy by trait-related markers was higher than that by randomly selected markers under different levels of marker density. Marker-assisted selection using genomic prediction could be an efficient strategy for genetic improvement for complex traits like FER resistance.
Subject(s)
Fusarium , China , Disease Resistance , Genome-Wide Association Study , Genomics , Humans , Plant Diseases , Zea maysABSTRACT
Fusarium ear rot, caused by Fusarium verticillioides, is a devastating fungal disease in maize that reduces yield and quality; moreover, F. verticillioides produces fumonisin mycotoxins, which pose serious threats to human and animal health. Here, we performed a genome-wide association study (GWAS) under three environmental conditions and identified 34 single-nucleotide polymorphisms (SNPs) that were significantly associated with Fusarium ear rot resistance. With reference to the maize B73 genome, 69 genes that overlapped with or were adjacent to the significant SNPs were identified as potential resistance genes to Fusarium ear rot. Comparing transcriptomes of the most resistant and most susceptible lines during the very early response to Fusarium ear rot, we detected many differentially expressed genes enriched for pathways related to plant immune responses, such as plant hormone signal transduction, phenylpropanoid biosynthesis, and cytochrome P450 metabolism. More than one-fourth of the potential resistance genes detected in the GWAS were differentially expressed in the transcriptome analysis, which allowed us to predict numbers of candidate genes for maize resistance to ear rot, including genes related to plant hormones, a MAP kinase, a PR5-like receptor kinase, and heat shock proteins. We propose that maize plants initiate early immune responses to Fusarium ear rot mainly by regulating the growth-defense balance and promoting biosynthesis of defense compounds.
Subject(s)
Fusarium/pathogenicity , Genome-Wide Association Study/methods , Transcriptome/genetics , Zea mays/genetics , Zea mays/microbiology , Disease Resistance/genetics , Polymorphism, Single Nucleotide/geneticsABSTRACT
The maize nodal root system plays a crucial role in the development of the aboveground plant and determines the yield via the uptake of water and nutrients in the field. However, the genetic architecture of the maize nodal root system is not well understood, and it has become the 'dark matter' of maize genetics. Here, a large teosinte-maize population was analyzed, and high-resolution mapping revealed that 62 out of 133 quantitative trait loci (QTLs), accounting for approximately half of the total genetic variation in nodal root number, were derived from QTLs for flowering time, which was further validated through a transgenic analysis and a genome-wide association study. However, only 16% of the total genetic variation in nodal root number was derived from QTLs for plant height. These results gave a hint that flowering time played a key role in shaping nodal root number via indirect selection during maize domestication. Our results also supported that more aerial nodal roots and fewer crown roots might be favored in temperate maize, and this root architecture might efficiently improve root-lodging resistance and the ability to take up deep water and nitrogen under dense planting.
Subject(s)
Genes, Plant/genetics , Plant Roots/genetics , Quantitative Trait Loci/genetics , Zea mays/genetics , Chromosome Mapping , Domestication , Flowers/genetics , Flowers/growth & development , Genetic Variation , Genome-Wide Association Study , Phenotype , Plant Roots/growth & development , Selection, Genetic , Time Factors , Zea mays/growth & developmentABSTRACT
BACKGROUND: During maize early kernel development, the dramatic transcriptional reprogramming determines the rate of developmental progression, and phytohormone plays critical role in these important processes. To investigate the phytohormone levels and transcriptome reprogramming profiles during maize early kernel development, two maize inbreds with similar genetic background but different mature kernel sizes (ILa and ILb) were used. RESULTS: The levels of indole-3-acetic acid (IAA) were increased continuously in maize kernels from 5 days after pollination (DAP) to 10 DAP. ILa had smaller mature kernels than ILb, and ILa kernels had significantly lower IAA levels and significantly higher SA levels than ILb at 10 DAP. The different phytohormone profiles correlated with different transcriptional reprogramming in the two kernels. The global transcriptomes in ILa and ILb kernels were strikingly different at 5 DAP, and their differences peaked at 8 DAP. Functional analysis showed that the biggest transcriptome difference between the two kernels is those response to biotic and abiotic stresses. Further analyses indicated that the start of dramatic transcriptional reprogramming and the onset of significantly enriched functional categories, especially the "plant hormone signal transduction" and "starch and sucrose metabolism", was earlier in ILa than in ILb, whereas more significant enrichment of those functional categories occurred at later stage of kernel development in ILb. CONCLUSIONS: These results indicate that later onset of the significantly enriched functional categories, coincide with their stronger activities at a later developmental stage and higher IAA level, are necessary for young kernels to undergo longer mitotic activity and finally develop a larger kernel size. The different onset times and complex interactions of the important functional categories, especially phytohormone signal, and carbohydrate metabolism, form the most important molecular regulators mediating maize early kernel development.
Subject(s)
Edible Grain/growth & development , Plant Growth Regulators/metabolism , Transcriptome , Zea mays/genetics , Cellular Reprogramming , Edible Grain/metabolism , Gene Expression Profiling , Gene Expression Regulation, Plant , Indoleacetic Acids/metabolism , Zea mays/metabolismABSTRACT
Head smut, caused by the fungal pathogen Sporisorium reilianum, poses a threat to maize production worldwide. ZmWAK, a cell wall-associated receptor kinase, confers quantitative resistance to head smut disease. Here, two near-isogenic lines (NILs), susceptible line Huangzao4 and its ZmWAK-converted resistant line Huangzao4R, were used to decipher the role of ZmWAK in head smut resistance. Cytological and molecular characterization in response to S. reilianum infection was compared between two NILs. Upon S. reilianum infection, the growth of pathogen hyphae was severely arrested in the ZmWAK-converted resistant line Huangzao4R, relative to its susceptible parental line Huangzao4. Infected cells exhibited apoptosis-like features in Huangzao4R and hyphae were sequestered within dead cells, whereas pathogen invasion caused autophagy in Huangzao4, which failed to prevent hyphal spreading. Integrated transcriptomic and metabolomic analysis indicated that ZmWAK functions as a hub in the trade-off between growth and defense, whereby ZmWAK promotes cell growth in the absence of the pathogen and switches to a defense response upon S. reilianum attack. These findings shed light on an elegant regulatory mechanism governed by ZmWAK in the trade-off between growth and head smut defense.
Subject(s)
Disease Resistance/genetics , Plant Diseases/genetics , Plant Proteins/genetics , Protein Kinases/genetics , Zea mays/genetics , Apoptosis/genetics , Autophagy/genetics , Gene Expression Profiling/methods , Gene Expression Regulation, Plant , Host-Pathogen Interactions , Hyphae/physiology , Metabolomics/methods , Microscopy, Electron , Plant Diseases/microbiology , Plant Proteins/metabolism , Protein Kinases/metabolism , Ustilaginales/physiology , Zea mays/metabolism , Zea mays/microbiologyABSTRACT
A major resistance quantitative trait locus, qRfg1, significantly enhances maize resistance to Gibberella stalk rot, a devastating disease caused by Fusarium graminearum. However, the underlying molecular mechanism remains unknown. We adopted a map-based cloning approach to identify the resistance gene at qRfg1 and examined the dynamic epigenetic changes during qRfg1-mediated maize resistance to the disease. A CCT domain-containing gene, ZmCCT, is the causal gene at the qRfg1 locus and a polymorphic CACTA-like transposable element (TE1) c. 2.4 kb upstream of ZmCCT is the genetic determinant of allelic variation. The non-TE1 ZmCCT allele is in a poised state, with predictive bivalent chromatin enriched for both repressive (H3K27me3/H3K9me3) and active (H3K4me3) histone marks. Upon pathogen challenge, this non-TE1 ZmCCT allele was promptly induced by a rapid yet transient reduction in H3K27me3/H3K9me3 and a progressive decrease in H3K4me3, leading to disease resistance. However, TE1 insertion in ZmCCT caused selective depletion of H3K4me3 and enrichment of methylated GC to suppress the pathogen-induced ZmCCT expression, resulting in disease susceptibility. Moreover, ZmCCT-mediated resistance to Gibberella stalk rot is not affected by photoperiod sensitivity. This chromatin-based regulatory mechanism enables ZmCCT to be more precise and timely in defense against F. graminearum infection.
Subject(s)
DNA Transposable Elements/genetics , Disease Resistance/genetics , Epigenesis, Genetic , Gibberella/physiology , Plant Diseases/genetics , Plant Diseases/microbiology , Plant Proteins/genetics , Zea mays/genetics , Zea mays/microbiology , Alleles , DNA Methylation/genetics , Gene Expression Regulation, Plant , Histones/metabolism , Photoperiod , Physical Chromosome Mapping , Plant Proteins/metabolism , Plants, Genetically Modified , Promoter Regions, Genetic/genetics , Quantitative Trait Loci/genetics , Seedlings/geneticsABSTRACT
KEY MESSAGE: A quantitative trait locus qRfg3 imparts recessive resistance to maize Gibberella stalk rot. qRfg3 has been mapped into a 350-kb interval and could reduce the disease severity index by ~26.6%. Gibberella stalk rot, caused by the fungal pathogen Fusarium graminearum, severely affects maize yield and grain quality worldwide. To identify more resistance quantitative trait loci (QTLs) against this disease, we analyzed a recombinant inbred line (RIL) population derived from a cross between resistant H127R and susceptible C7-2 inbred lines. Within this population, maize resistance to Gibberella stalk rot had high broad-sense heritability. A major QTL, qRfg3, on chromosome 3 was consistently detected across three field trials, accounting for 10.7-19.4% of the total phenotypic variation. Using a progeny-based sequential fine-mapping strategy, we narrowed qRfg3 down to an interval of ~350 kb. We further demonstrated that qRfg3 is a recessive resistance locus to Gibberella stalk rot that reduced the disease severity index by ~26.6%. Both the gene location and recessive genetic mode distinguish qRfg3 from other stalk rot resistance loci. Hence, qRfg3 is valuable as a complement to existing resistance QTLs to improve maize resistance to Gibberella stalk rot.
Subject(s)
Disease Resistance/genetics , Gibberella , Plant Diseases/genetics , Quantitative Trait Loci , Zea mays/genetics , Chromosome Mapping , Crosses, Genetic , Genetic Linkage , Genetic Markers , Genotype , Phenotype , Plant Diseases/microbiology , Zea mays/microbiologyABSTRACT
KEY MESSAGE: The elite ZmCCT haplotypes which have no transposable element in the promoter could enhance maize resistance to Gibberella stalk rot and improve yield-related traits, while having no or mild impact on flowering time. Therefore, they are expected to have great value in future maize breeding programs. A CCT domain-containing gene, ZmCCT, is involved in both photoperiod response and stalk rot resistance in maize. At least 15 haplotypes are present at the ZmCCT locus in maize germplasm, whereas only three of them are found in Chinese commercial maize hybrids. Here, we evaluated ZmCCT haplotypes for their potential application in corn breeding. Nine resistant ZmCCT haplotypes that have no CACTA-like transposable element in the promoter were introduced into seven elite maize inbred lines by marker-assisted backcrossing. The resultant 63 converted lines had 0.7-5.1 Mb of resistant ZmCCT donor segments with over 90% recovery rates. All converted lines tested exhibited enhanced resistance to maize stalk rot but varied in photoperiod sensitivity. There was a close correlation between the hybrids and their parental lines with respect to both resistance performance and photoperiod sensitivity. Furthermore, in a given hybrid A5302/83B28, resistant ZmCCT haplotype could largely improve yield-related traits, such as ear length and 100-kernel weight, resulting in enhanced grain yield. Of nine resistant ZmCCT haplotypes, haplotype H5 exhibited excellent performance for both flowering time and stalk rot resistance and is thus expected to have potential value in future maize breeding programs.