Resistant Accessions Research Articles

Effect of optimal rapid thermal alloying of ohmic contacts to microwave pseudomorphic HEMTs

Gallium Arsenide (GaAs) pseudomorphic High Electron Mobility Transistors (pHEMTs) are currently used as active devices in manufacturing Monolithic Microwave Integrated Circuits (MMICs) for microwave and millimetre wave applications like Transmit-Receive (T/R) modules in Radars and communication. Low contact resistances (Rc) of pHEMT devices are necessary to obtain low access resistances to the device channel, for enhancement of transconductance and cut-off frequency. Devices formed by optimal and suboptimal conditions of rapid thermal alloying by infra-red optical radiation are investigated using cross-section transmission electron microscopy (XTEM), backside secondary ion mass spectrometry (backside SIMS) and thermal imaging techniques to understand the role of optimal alloy formation and its role in enhancement of device parameters.

Genetic profiling and PVY resistance identification of potato germplasm resources.

Excellent germplasm resources are the foundation for cultivating high-quality, disease-resistant, and stress-tolerant varieties. In this study, simple sequence repeat (SSR) markers were used to identify 138 potato accessions collected from worldwide, and genetic cluster analysis was used to characterize the genetic diversity of the tested germplasm resources. The Potato virus Y (PVY) resistance of these potato accessions was identified by artificial friction inoculation combined with molecular marker detection, and potato accessions with different PVY resistance were screened based on disease index and incidence rate. Using SSR markers, 138 potato accessions were identified, and the results showed that the genetic distances between the tested potato germplasm resources ranged from 0.025 to 0.660, and the genetic similarity coefficients ranged from 0.489 to 0.975. The 138 accessions could be clustered into five subgroups using Unweighted Pair-Group Method with Arithmetic Mean (UPGMA). Among them, Z173, Biyin No. 4, Suyin No. 2, XN995, XN987, Biyin No 22, Bibiao104, Sarpo mira, XN996, XN979, Desiree, RUNSHI, Actrice, Jia 1219, Heyin No 12, and Moyin No.1 have relatively distant genetic relationship with another 122 accessions. Based on the disease index, the following different accessions were screened: five highly resistant, 11 resistant, 45 moderately resistant, 35 susceptible, and 42 highly susceptible. Fourteen resource materials with good resistance (disease index ≤ 33.74%, and a grading of high resistance (HR) or medium resistance (MR); incidence rate ≤ 67.58%) were identified. By combining genetic cluster analysis and PVY resistance identification, six accessions showed PVY resistance and had distant genetic relationships with other accessions selected which provided important materials for disease resistance breeding and quality improvement of potato. In this study, the genetic diversity and PVY resistance of global potato germplasm resources was explored, and potato germplasm materials with important utilization value were screened. The results obtained in this study could provide important references for the research and utilization of global potato germplasm resources.

Dual-RNA-sequencing to elucidate the interactions between sorghum and Colletotrichum sublineola.

In warm and humid regions, the productivity of sorghum is significantly limited by the fungal hemibiotrophic pathogen Colletotrichum sublineola, the causal agent of anthracnose, a problematic disease of sorghum (Sorghum bicolor (L.) Moench) that can result in grain and biomass yield losses of up to 50%. Despite available genomic resources of both the host and fungal pathogen, the molecular basis of sorghum-C. sublineola interactions are poorly understood. By employing a dual-RNA sequencing approach, the molecular crosstalk between sorghum and C. sublineola can be elucidated. In this study, we examined the transcriptomes of four resistant sorghum accessions from the sorghum association panel (SAP) at varying time points post-infection with C. sublineola. Approximately 0.3% and 93% of the reads mapped to the genomes of C. sublineola and Sorghum bicolor, respectively. Expression profiling of in vitro versus in planta C. sublineola at 1-, 3-, and 5-days post-infection (dpi) indicated that genes encoding secreted candidate effectors, carbohydrate-active enzymes (CAZymes), and membrane transporters increased in expression during the transition from the biotrophic to the necrotrophic phase (3 dpi). The hallmark of the pathogen-associated molecular pattern (PAMP)-triggered immunity in sorghum includes the production of reactive oxygen species (ROS) and phytoalexins. The majority of effector candidates secreted by C. sublineola were predicted to be localized in the host apoplast, where they could interfere with the PAMP-triggered immunity response, specifically in the host ROS signaling pathway. The genes encoding critical molecular factors influencing pathogenicity identified in this study are a useful resource for subsequent genetic experiments aimed at validating their contributions to pathogen virulence. This comprehensive study not only provides a better understanding of the biology of C. sublineola but also supports the long-term goal of developing resistant sorghum cultivars.

Metabolite profiling of chickpea (Cicer arietinum) in response to necrotrophic fungus Ascochyta rabiei.

Ascochyta blight (AB) caused by the necrotrophic fungus Ascochyta rabiei is one of the most significant diseases that limit the production of chickpea. Understanding the metabolic mechanisms underlying chickpea-A.rabiei interactions will provide important clues to develop novel approaches to manage this disease. We performed metabolite profiling of the aerial tissue (leaf and stem) of two chickpea accessions comprising a moderately resistant breeding line (CICA1841) and a highly susceptible cultivar (Kyabra) in response to one of the highly aggressive Australian A. rabiei isolates TR9571 via non-targeted metabolomics analysis using liquid chromatography-mass spectrometry. The results revealed resistance and susceptibility-associated constitutive metabolites for example the moderately resistant breeding line had a higher mass abundance of ferulic acid while the levels of catechins, phthalic acid, and nicotinic acid were high in the susceptible cultivar. Further, the host-pathogen interaction resulted in the altered levels of various metabolites (induced and suppressed), especially in the susceptible cultivar revealing a possible reason for susceptibility against A.r abiei. Noticeably, the mass abundance of salicylic acid was induced in the aerial tissue of the susceptible cultivar after fungus colonization, while methyl jasmonate (MeJA) was suppressed, elucidating the key role of phytohormones in chickpea-A. rabiei interaction. Many differential metabolites in flavonoid biosynthesis, phenylalanine, Aminoacyl-tRNA biosynthesis, pentose and glucuronate interconversions, arginine biosynthesis, valine, leucine, and isoleucine biosynthesis, and alanine, aspartate, and glutamate metabolism pathways were up- and down-regulated showing the involvement of these metabolic pathways in chickpea-A. rabiei interaction. Taken together, this study highlights the chickpea - A. rabiei interaction at a metabolite level and shows how A. rabiei differentially alters the metabolite profile of moderately resistant and susceptible chickpea accessions and is probably exploiting the chickpea defense pathways in its favour.

Evaluation of forty‑five rice (Oryza species) accessions for resistance to rice blast (Magnaporthe oryzae) disease under natural conditions

Abstract The experiments were conducted to investigate the resistance levels among forty‑five lowland rice accessions at the Teaching and Research Farm, Federal College of Agriculture, Ishiagu (Latitude 5°56″N and Longitude 7°41″E) Ebonyi State, Nigeria. Forty‑five rice accessions were screened for their resistance to the blast disease in row planting during the 2017 and 2019 cropping seasons using Randomised Complete Block Design (RCBD) and were replicated thrice. The data on disease intensity and agronomic performance were subjected to Analysis of Variance and the significant means were separated with the Tukey HSD test at p < 0.05. Assessment of blast disease showed that the incidence, severity, and resistance levels varied significantly among rice tested. Accession NG / SA / JAN / 023 had the highest disease incidence (59.06 %) while accessions NG / SA / DEC / 07 / 0300, TOG 5453, TOG 6804, FARO‑22 and FARO‑57 had no blast symptoms for the two cropping seasons. The disease severity ranged from 0.00 to 3.43 for the two cropping seasons. Five accessions (NG / SA / DEC / 07 / 0300, TOG‑5453, TOG‑6804, FARO‑22, and FARO‑57) were highly resistant, 10 were resistant, 14 moderately resistant, and 16 were moderately susceptible to the disease. In the 2017 cropping season, the result of the grain yield showed that accession Local Foreign and FARO 26 had the value of 46.77 g apiece while NG / SA / DEC / 07 / 0278 had the least (11.00 g). However, in the 2019 cropping season, the results of the grain yield showed that accession Local Foreign produced the highest yield (56.00 g), FARO 26 had 40.31 g grain yield while NG / SA / DEC / 07 / 0285 (22.0 g) had the lowest grain yield. The study concluded that using the blast‑resistant cultivars is the best option in managing blast disease, and the five highly resistant accessions could be planted out in other agroecological zones for further studies on managing rice blast disease in the field.

Investigation of the DC Performance and Linearity of InAlN/GaN HFETs via Studying the Impact of the Scaling of LGS and LG on the Source Access Resistance

Investigation of the DC Performance and Linearity of InAlN/GaN HFETs via Studying the Impact of the Scaling of L_GS and L_G on the Source Access Resistance

CHARACTERIZATION OF CIMMYT BREAD WHEAT GERMPLASM FOR RESISTANCE TO YELLOW RUST AND ENVIRONMENTAL FACTORS

One of the major tasks faced by wheat breeders in Uzbekistan is to enhance wheat genotypes’ adaptability to soil and other environmental conditions and improve the grain quality, making the country self-sufficient in wheat grains and later becoming an exporter. Better results are achievable using the world wheat collection, including the CIMMYT germplasm. Determination of the positive correlation of physiological traits of new wheat cultivars, the importance of physiological indicators of water balance with productivity, and the vital role of these indicators in productivity level were the chief concerns. The timely study evaluated heat resilience, rust resistance, and grain yield in bread wheat genotypes. Bread wheat germplasm obtained from CIMMYT with a background of artificial infection of yellow rust incurred scrutiny for their rust resistance. A 15% incidence was detectable in seven genotypes; however, necrosis quickly formed around the symptoms of the disease in plant leaves, preventing its further development. Resistant wheat accessions, i.e., 1088, 1164 (R), 1006, and 1251 (MR), occurred as moderately resistant, showing high leaf area and grain yield. The average value of the genotypes was low, mainly due to the two rust-resistant samples, and the 1000-grain weight was 34.8 g and 34.6 g, respectively, and the grains per spike and grain yield were lower than the average. The chlorophyll a and b, total chlorophyll, carotenoid content, relative water content, flag leaf area, and production traits of the genotypes К-1088 and К-1164 gained assessment, revealed to be physiologically effective under the field conditions of Tashkent, Uzbekistan. Quantitative indicators of the productivity of these wheat genotypes indicated positive differentiation. Selection ensued for promising accessions to develop initial sources for producing the wheat genotypes with rust resistance and high grain yield under the environmental conditions of Uzbekistan.

Nanoscale Operando Characterization of Electrolyte-Gated Organic Field-Effect Transistors Reveals Charge Transport Bottlenecks.

Charge transport in electrolyte-gated organic field-effect transistors (EGOFETs) is governed by the microstructural property of the semiconducting thin film that is in direct contact with the electrolyte. Therefore, a comprehensive nanoscale operando characterization of the active channel is crucial to pinpoint various charge transport bottlenecks for rational and targeted optimization of the devices. Here, the local electrical properties of EGOFETs are systematically probed by in-liquid scanning dielectric microscopy (in-liquid SDM) and a direct picture of their functional mechanism at the nanoscale is provided across all operational regimes, starting from subthreshold, linear to saturation, until the onset of pinch-off. To this end, a robust interpretation framework of in-liquid SDM is introduced that enables quantitative local electric potential mapping directly from raw experimental data without requiring calibration or numerical simulations. Based on this development, a straightforward nanoscale assessment of various charge transport bottlenecks is performed, like contact access resistances, inter- and intradomain charge transport, microstructural inhomogeneities, and conduction anisotropy, which have been inaccessible earlier. Present results contribute to the fundamental understanding of charge transport in electrolyte-gated transistors and promote the development of direct structure-property-function relationships to guide future design rules.

(Invited) In-Depth Understanding of the Key Contributors to the Total Flicker Noise in Advanced Logic Devices

The aim of this work is to perform an in-depth analysis in order to identify the key contributors to the total flicker noise in advanced MOSFET technologies, e.g. UTBOX, FinFET or Gate-all-around (GAA) nanowire or nanosheet FET devices.In this abstract, as an example, we will focus on p-type gate all around silicon vertical nanowire devices fabricated at imec. The transistors have a fixed gate length (LG) of 50 nm and 1200 nanowires in parallel (N), each nanowire (NW) having a diameter (WNW) of 20 nm. The total width (W) of the device is calculated as . The gate stack corresponds to an equivalent oxide thickness (EOT) of 0.9 nm. A full description of the process flow of the devices is presented in [1]. Comparison between the Y-function strategy of [2] and McLarty methodology [3] permits to estimate with accuracy the DC parameters necessary for low frequency noise modelling, which are summarized in Table 1.Typical low frequency noise spectra are shown in Figure 1. The methodology for the estimation of the low frequency noise parameters is described in [4], but it is obvious that the noise spectra are dominated by 1/f noise and only few Lorentzian contributions appear for some gate voltage polarization. As the corresponding flicker noise levels (K f ), plotted in Figure 2 present a plateau and rise with the increase of the applied gate voltage, the responsible 1/f noise mechanism should be related to the carrier number or correlated carrier number fluctuations mechanism, with a possible contribution of the access resistance 1/f noise.Firstly, the model described in [5-9] expressed as in equation (1) is employed. A linear dependence of the square root of the 1/f noise levels on the measured Id/gm is observed in Figure 3, permitting to estimate from the intercept and slope the flat-band noise level (Svfb) and the W coefficient, respectively. Using the methodology of [9] the estimated W parameter is corrected by the access resistance influence. Good agreement with experimental data in strong inversion may be observed in both cases (Figure 4).Secondly, the model which considers the small signal model of the MOSFET is used, assuming that the channel resistance noise and access resistances noise are uncorrelated noise sources [2,10,11]. The model may be expressed by equation (2) ((13) of [11]), in order to make no assumption concerning the gm/gch ratio. Beyond the threshold voltage, the impact of the cannot be neglected, as observed from Figure 5. It may be observed from Figure 6 that the correlated number fluctuation and mobility noise mechanism cannot explain the flicker noise behavior in very strong inversion, and an additional contribution of the access resistances noise may be considered in order to agree with the experimental data.The noise parameters estimated to agree with the experimental data for both models are summarized in Table 2. It is interesting to note that the experimental data may be explained by both models, but the key contributors are not the same: only correlated number fluctuations and mobility noise mechanism for the first model, and correlated number fluctuations and mobility and access resistance noise mechanisms contribution for the second one. Moreover, the estimated flat-band noise levels are not the same, a much lower Svfb is obtained when the first model is employed. Considering the access resistance impact may correct the W coefficient, but leads to even lower flat-band noise levels, as already reported in [9].These results lead to some questioning about which of these two models is most accurate and give good indications on the key contributors and estimated parameters of the total flicker noise.

Screening of coriander (Coriandrum sativum L.) genotypes to beet curly top virus-severe and beet curly top Iran virus infection

The beet curly top virus-severe and beet curly top Iran virus are the main causal agents of curly top disease (CTD) in Iran. CTD has been described for a long time as one of the viral diseases of coriander that causes severe losses in seed production. An effective approach to managing plant viral diseases is to introduce resistant cultivars. Therefore, this study aimed to identify resistant coriander accessions for CTD. The study employed a completely randomized design with 10 replications to investigate the reaction of 10 coriander accessions, which were inoculated using agroinoculation. The inoculated plants were analyzed by measuring phenotypic, physiological and biochemical parameters, and virus accumulation. The results revealed that phenolic compounds, phenylalanine ammonia-lyase, polyphenol oxidase activity, guaiacol peroxidase, total chlorophyll content, and photosynthesis rate were elevated in resistant accessions to cope with virus inoculation. Resistant accessions exhibited normal growth and seed production similar to their mock-inoculated controls. Through principal component analysis and hierarchical cluster analysis, it was confirmed that accessions 111,230 and 230,160 were highly resistant to both viruses. These findings suggest that these accessions can be utilized in breeding programs to develop virus-resistant cultivars.

Phenotypic evaluation of USDA peanut (Arachis hypogaea L.) mini-core collection for resistance against stem rot caused by Sclerotium rolfsii Sacc.

Sclerotium rolfsii is a necrotrophic fungus that causes devastating stem rot disease on peanuts under high temperature and humidity conditions. Developing more resistant stem rot varieties is a better disease management strategy from an economic and environmental point of view. In this study, 105 peanut accessions from the USDA mini-core collection were screened for resistance against stem rot under growth chamber and greenhouse conditions at the New Mexico State University Agricultural Science Center in Clovis, NM, USA. The accessions were inoculated with a virulent isolate of S. rolfsii, and disease development was monitored and scored at 5, 7, 9, 11, and 17-days post-inoculation (DPI). Mean disease score, lesion length and broad sense heritability were calculated, and cluster analysis was performed. Though the accessions were not significantly different for the mean disease parameters, numerical differences were observed in disease score and lesion length among the accessions at 17-DPI. Eleven accessions showed moderate resistance and performed better than stem rot resistant commercial cultivar, ‘G03L’, and ninety-four accessions were susceptible based on mean disease scores under both growing conditions. Low broad-sense heritability for disease score (0.05 to 0.06) and lesion length (0.03 to 0.06) under different environments indicates that most of the variance for these traits is due to environmental effects, and that stem rot resistance can be a complex trait. The identified resistant accessions can be used for genotyping and finding major QTLs through genome-wide association mapping to dissect genetic basis of stem rot resistance in peanuts. This information would be helpful to the peanut breeding program to develop more resistant varieties.

Markers of resistance to pea aphid, Acyrthosiphon pisum Harris in Pisum sativum L. accessions

One of the major insect pests in Pisum sativum L. (is Acyrthosiphon pisum Harris (Hemiptera: pests in Pisum sativum L. (Hemiptera: Aphididae) is Acyrthosiphon pisum Harris (Hemiptera: Aphididae). An effective strategy for aphid control is the resistant host plant use. The current study aimed to identify resistance mechanisms and assess biochemical and morphological markers of pea aphid resistance in pea accessions. Meteorological variables affected the pea aphid density, which positively correlated with temperature, while precipitation amount and humidity negatively impacted. The aphid number was significantly and positively associated with the leaf area and the nitrogen content but negatively correlated with calcium and phosphorus levels. The pea aphid-resistant cultivars L 123-7-11, L 128-1and L 125-5 had small leaf areas, and high phosphorus and calcium content but a low nitrogen level. In the mutual influence of the plant indicators, phosphorus concentration had the highest negative impact on pea aphid density, followed by calcium. The plant marker inclusion in the pea breeding process is an efficient tool for a substantial selection program improvement for aphid resistance. Therefore, resistant host plants are essential tools promoting considerable selection program improvement for aphid resistance in the P. sativum breeding process and helping develop sustainable and environmentally friendly agriculture.

Peanut (Arachis hypogea) accessions differentially accumulate aflatoxins upon challenge by Aspergillus flavus: Implications for aflatoxin mitigation

Peanut is among the most important oil crops grown in sub-Saharan Africa for its nutritive value and economic benefit. In this region, Aspergillus flavus infects peanuts and contaminates produce with aflatoxins leading to food insecurity through lowered quality. The impact of aflatoxins transcends the food chain causing harm to human and animal health. The selection and production of aflatoxin-tolerant varieties of peanut is a promising strategy to mitigate their potential harm. We studied the resistance of peanut kernels to aflatoxin accumulation in 25 peanut accessions collected from different growing locations in Kenya, Uganda, and Rwanda based on their unique phenotypic characteristics. To obtain sufficient planting material, the peanut accessions were multiplied separately under standard conditions and harvested at their respective maturity dates then dried and stored at 4 °C before further analysis. At the start of the experiment, the kernels were challenged with a laboratory-characterized toxigenic strain (Aspergillus flavus 1EM1901) and incubated at 28 °C for 7 days. Afterward, the accessions were analysed (ELISA) for aflatoxins. Of the 25 accessions tested, 60 % (n = 15) exhibited kernel resistance to aflatoxin accumulation while 40 % (n = 10) were susceptible (with aflatoxin levels ranging from 0.54 ppb to 1692.92 ppb). Two of the resistant accessions recorded a decrease in aflatoxin accumulation when challenged with toxigenic A. flavus. This differential accumulation of aflatoxins suggests the existence of an inherent trait that can be exploited in breeding programs of peanut varieties with low aflatoxin accumulation when grown in contaminated soils. These findings are further discussed.

Characterization of durum wheat resistance against leaf rust under climate change conditions of increasing temperature and [CO2

Durum wheat cultivation in Mediterranean regions is threatened by abiotic factors, mainly related to the effects of climate change, and biotic factors such as the leaf rust disease. This situation requires an in-depth knowledge of how predicted elevated temperatures and [CO2] will affect durum wheat-leaf rust interactions. Therefore, we have characterised the response of one susceptible and two resistant durum wheat accessions against leaf rust under different environments in greenhouse assays, simulating the predicted conditions of elevated temperature and [CO2] in the far future period of 2070–2099 for the wheat growing region of Cordoba, Spain. Interestingly, high temperature alone or in combination with high [CO2] did not alter the external appearance of the rust lesions. However, through macro and microscopic evaluation, we found some host physiological and molecular responses to infection that would quantitatively reduce not only pustule formation and subsequent infection cycles of this pathogen, but also the host photosynthetic area under these predicted weather conditions, mainly expressed in the susceptible accession. Moreover, our results suggest that durum wheat responses to infection are mainly driven by temperature, being considered the most hampering abiotic stress. In contrast, leaf rust infection was greatly reduced when these weather conditions were also conducted during the inoculation process, resembling the effects of possible heat waves not only in disease development, but also in fungal germination and penetration success. Considering this lack of knowledge in plant-pathogen interactions combined with abiotic stresses, the present study is, to the best of our knowledge, the first to include the effects of the expected diurnal variation of maximum temperature and continuous elevated [CO2] in the durum wheat-leaf rust pathosystem.

A new wild emmer wheat panel allows to map new loci associated with resistance to stem rust at seedling stage.

Wheat stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), is a major wheat disease worldwide. A collection of 283 wild emmer wheat [Triticum turgidum L. subsp. dicoccoides (Körn. ex Asch. & Graebn.) Thell] accessions, representative of the entire Fertile Crescent region where wild emmer naturally occurs, was assembled, genotyped, and characterized for population structure, genetic diversity, and rate of linkage disequilibrium (LD) decay. Then, the collection was employed for mapping Pgt resistance genes, as a proof of concept of the effectiveness of genome-wide association studies in wild emmer. The collection was evaluated in controlled conditions for reaction to six common Pgt pathotypes (TPMKC, TTTTF, JRCQC, TRTTF, TTKSK/Ug99, and TKTTF). Most resistant accessions originated from the Southern Levant wild emmer lineage, with some showing a resistance reaction toward three to six tested races. Association analysis was conducted considering a 12K polymorphic single-nucleotide polymorphisms dataset, kinship relatedness between accessions, and population structure. Eleven significant marker-trait associations (MTA) were identified across the genome, which explained from 17% to up to 49% of phenotypic variance with an average 1.5 additive effect (based on the 1-9 scoring scale). The identified loci were either effective against single or multiple races. Some MTAs colocalized with known Pgt resistance genes, while others represent novel resistance loci useful for durum and bread wheat prebreeding. Candidate genes with an annotated function related to plant response to pathogens were identified at the regions linked to the resistance and defined according to the estimated small LD (about 126kb), as typical of wild species.

Genome-wide association study on resistance of cultivated soybean to Fusarium oxysporum root rot in Northeast China

BackgroundFusarium oxysporum is a prevalent fungal pathogen that diminishes soybean yield through seedling disease and root rot. Preventing Fusarium oxysporum root rot (FORR) damage entails on the identification of resistance genes and developing resistant cultivars. Therefore, conducting fine mapping and marker development for FORR resistance genes is of great significance for fostering the cultivation of resistant varieties. In this study, 350 soybean germplasm accessions, mainly from Northeast China, underwent genotyping using the SoySNP50K Illumina BeadChip, which includes 52,041 single nucleotide polymorphisms (SNPs). Their resistance to FORR was assessed in a greenhouse. Genome-wide association studies utilizing the general linear model, mixed linear model, compressed mixed linear model, and settlement of MLM under progressively exclusive relationship models were conducted to identify marker-trait associations while effectively controlling for population structure.ResultsThe results demonstrated that these models effectively managed population structure. Eight SNP loci significantly associated with FORR resistance in soybean were detected, primarily located on Chromosome 6. Notably, there was a strong linkage disequilibrium between the large-effect SNPs ss715595462 and ss715595463, contributing substantially to phenotypic variation. Within the genetic interval encompassing these loci, 28 genes were present, with one gene Glyma.06G088400 encoding a protein kinase family protein containing a leucine-rich repeat domain identified as a potential candidate gene in the reference genome of Williams82. Additionally, quantitative real-time reverse transcription polymerase chain reaction analysis evaluated the gene expression levels between highly resistant and susceptible accessions, focusing on primary root tissues collected at different time points after F. oxysporum inoculation. Among the examined genes, only this gene emerged as the strongest candidate associated with FORR resistance.ConclusionsThe identification of this candidate gene Glyma.06G088400 improves our understanding of soybean resistance to FORR and the markers strongly linked to resistance can be beneficial for molecular marker-assisted selection in breeding resistant soybean accessions against F. oxysporum.

Phenotypic and genotypic variability among exotic arabica coffee genotypes using morphological and molecular markers (SRAP)

Coffea arabica is said to have low genetic variability, however more information is still needed about the extent of diversity present in the arabica coffee gene pool by evaluating existing genetic resources present in India. The study therefore was conducted to assess the phenotypic and genotypic variability in arabica coffee germplasm accessions. Significant variation was observed among coffee accessions for the traits studied indicating the presence of diversity. Out of 20 traits, per cent ‘A’ grade bean contributed maximum to the diversity (63.29 %). The 41 arabica coffee accessions were grouped into six clusters. The maximum intra-cluster and inter cluster distance (D2 = 737.34) was revealed by cluster V (7 genotypes) and cluster II and VI (D2 = 8544.21), respectively. Principle Component Analysis displayed 79.50% of variability. Observations on Coffee Leaf Rust disease incidence showed that mean disease severity infection was ranged from 1.34 to 32.67%. On the other hand, molecular analysis of 10 SRAP primers established high rate of polymorphism with an average PIC value of 0.74. The UPGMA clustering grouped arabica coffee genotypes into two major clusters. The similarity matrix coefficient was ranged from 0 to 94%. SRAP marker demonstrated high polymorphism rate can be utilized for future crop improvement program in coffee. Study established high phenotypic but low genetic diversity among the arabica coffee accessions based on morphological and molecular markers, respectively and identified high yielding, coffee leaf rust disease resistant accessions which showed possibility of developing improved varieties through breeding.

Identification of novel sources of partial and incomplete hypersensitive resistance to rust and associated genomic regions in common bean

Common bean (Phaseolus vulgaris) is one of the legume crops most consumed worldwide and bean rust is one of the most severe foliar biotrophic fungal diseases impacting its production. In this work, we searched for new sources of rust resistance (Uromyces appendiculatus) in a representative collection of the Portuguese germplasm, known to have accessions with an admixed genetic background between Mesoamerican and Andean gene pools. We identified six accessions with incomplete hypersensitive resistance and 20 partially resistant accessions of Andean, Mesoamerican, and admixed origin. We detected 11 disease severity-associated single-nucleotide polymorphisms (SNPs) using a genome-wide association approach. Six of the associations were related to partial (incomplete non-hypersensitive) resistance and five to incomplete hypersensitive resistance, and the proportion of variance explained by each association varied from 4.7 to 25.2%. Bean rust severity values ranged from 0.2 to 49.1% and all the infection types were identified, reflecting the diversity of resistance mechanisms deployed by the Portuguese germplasm.The associations with U. appendiculatus partial resistance were located in chromosome Pv08, and with incomplete hypersensitive resistance in chromosomes Pv06, Pv07, and Pv08, suggesting an oligogenic inheritance of both types of resistance. A resolution to the gene level was achieved for eight of the associations. The candidate genes proposed included several resistance-associated enzymes, namely β-amylase 7, acyl-CoA thioesterase, protein kinase, and aspartyl protease. Both SNPs and candidate genes here identified constitute promising genomics targets to develop functional molecular tools to support bean rust resistance precision breeding.

Inheritance of Partial Resistance to Isolate VdLs17 of Verticillium dahliae Within Lactuca spp.

Lettuce (Lactuca sativa L.) production is greatly threatened by Verticillium wilt, which is caused by three pathogenic races (races 1, 2, and 3) of the soilborne fungus Verticillium dahliae. Race 1 is predominant, and resistant varieties that provide full protection against it are commercially available. However, heavily relying on race 1-resistant cultivars could shift the population towards resistance-breaking isolates and impact the durability of plant resistance. This study determined the inheritance of partial resistance to isolate VdLs17 of V. dahliae within Lactuca spp. using 258 F2:3 progeny generated from a cross between two partially resistant accessions, 11G99 (L. serriola) and PI 171674 (L. sativa). Eight experiments were performed under greenhouse and growth room conditions across 3 years using a randomized complete block design, and segregation analysis was conducted to determine the inheritance pattern. The results indicate that partial resistance to isolate VdLs17 of V. dahliae is conditioned by a two-major-gene genetic model with additive-dominance-epistatic effects. Transgressive segregants were infrequent but observed in both directions, indicating that favorable and adverse alleles are dispersed in both parents. Combining favorable alleles of these two partially resistant parents appears to be challenging because of epistatic effects and a significant role of environment in disease severity. The probability of capturing favorable additive genes could be maximized by generating and evaluating a large population and making selections at late generations. This study provides valuable insights into the inheritance pattern of partial resistance to isolate VdLs17 of V. dahliae that will be helpful in designing efficient breeding strategies in lettuce.[Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Evaluating the Response of Glycine soja Accessions to Fungal Pathogen Macrophomina phaseolina during Seedling Growth.

Charcoal rot caused by the fungal pathogen Macrophomina phaseolina (Tassi) Goid is one of various devastating soybean (Glycine max (L.) Merr.) diseases, which can severely reduce crop yield. The investigation into the genetic potential for charcoal rot resistance of wild soybean (Glycine soja) accessions will enrich our understanding of the impact of soybean domestication on disease resistance; moreover, the identified charcoal rot-resistant lines can be used to improve soybean resistance to charcoal rot. The objective of this study was to evaluate the resistance of wild soybean accessions to M. phaseolina at the seedling stage and thereby select the disease-resistant lines. The results show that the fungal pathogen infection reduced the growth of the root and hypocotyl in most G. soja accessions. The accession PI 507794 displayed the highest level of resistance response to M. phaseolina infection among the tested wild soybean accessions, while PI 487431 and PI 483660B were susceptible to charcoal rot in terms of the reduction in root and hypocotyl growth. The mean values of the root and hypocotyl parameters in PI 507794 were significantly higher (p < 0.05) than those of PI 487431 and PI 483460B. A analysis of the resistance of wild soybean accessions to M. phaseolina using the root and hypocotyl as the assessment parameters at the early seedling stage provides an alternative way to rapidly identify potential resistant genotypes and facilitate breeding for soybean resistance to charcoal rot.