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Transcriptional profiling identifies the early responses to Puccinia triticina infection in the adult plant leaf rust resistant wheat variety Toropi

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Transcriptional profiling identifies the early responses to Puccinia triticina infection in the adult plant leaf rust resistant wheat variety Toropi

The wheat cv. Toropi displays a durable leaf rust resistance that is associated with a prehaustorial resistance phenotype and rapid changes in wheat gene expression following Puccinia triticina inoculation.


Abstract

Leaf rust, caused by Puccinia triticina (Pt), is a major disease of wheat and a significant problem for wheat production in Brazil. The Brazilian variety Toropi, released in 1965, has maintained high levels of field, adult plant resistance (APR) to leaf rust across global locations, while microscopic studies have indicated prehaustorial resistance mechanisms. Analyses of gene expression in flag leaves of Toropi, during the early stages of Pt infection, were undertaken to explore the mechanisms behind the APR in Toropi. Differential expression of wheat genes was undertaken, comparing Pt- to mock-inoculated and Pt- to Pt-inoculated time points. Analysis of gene expression indicated a strong response to Pt, which was fully active by 6 h after inoculation (hai). More genes were downregulated than upregulated, particularly at 6 and 12 hai. Gene Ontology enrichment analysis indicated a shutting down of RNA and protein synthesis and an early effect on photosynthesis, with disruption of the electron transfer chain. Analyses of upregulated genes identified genes involved in ATP-binding and protein kinase activity at 6 hai, supporting a rapid metabolic response to Pt infection. A general upregulation of genes involved in transport and metabolism indicated the need to relocate protein and organic-based resources. Alignment of differentially expressed genes with the genomic regions defining four leaf rust APR quantitative trait loci (QTLs) in Toropi identified candidate resistance genes, including a sugar transporter, a receptor kinase and a seven-transmembrane MLO family protein. In addition, 60 Pt genes were identified, 11 being annotated as potential effector proteins.

Common signatures of selection reveal target loci for breeding across soybean populations

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Abstract

Understanding the underlying genetic bases of yield-related selection and distinguishing these changes from genetic drift are critical for both improved understanding and future success of plant breeding. Soybean [Glycine max (L.) Merr.] is a key species for world food security, yet knowledge of the mechanism of selective breeding in soybean, such as the century-long program of artificial selection in U.S. soybean germplasm, is currently limited to certain genes and loci. Here, we identify genome-wide signatures of selection in separate populations of soybean subjected to artificial selection for increased yield by multiple breeding programs in the United States. We compared the alternative soybean breeding population (AGP) created by USDA-ARS to the conventional public soybean lines (CGP) developed at three different stages of breeding (ancestral, intermediate, and elite) to identify shared signatures of selection and differentiate these from drift. The results showed a strong selection for specific haplotypes identified by single site frequency and haplotype homozygosity methods. A set of common selection signatures was identified in both AGP and CGP that supports the hypothesis that separate breeding programs within similar environments coalesce on the fixation of the same key haplotypes. Signatures unique to each breeding program were observed. These results raise the possibility that selection analysis can allow the identification of favorable alleles to enhance directed breeding approaches.

Identification of haplotypes associated with resistance to Fusarium graminearum in spring oat (Avena sativa L.)

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Abstract

Fusarium head blight (FHB) is the predominant disease in oat in Norway caused by the fungus Fusarium graminearum. It causes yield loss, reduced seed quality, reduced germination ability and accumulation of deoxynivalenol (DON). The FHB resistance is quantitative, and most genes have small effect. Markers with verified effect in the breeding program could further enhance the resistance breeding. This study aims to use a large and diverse population of 541 lines to identify quantitative trait loci (QTL) associated to FHB resistance in a genome-wide association study (GWAS) and verify their effect in independent breeding material. The material has been tested in six environments over three years and two locations in spawn inoculated and mist irrigated disease trials. The traits tested were germination ability and DON accumulation. A total of 15 significant QTL-regions were detected across 12 different linkage groups. Haplotypes for each region was constructed and the effect of the alleles in each environment was calculated, which identified the most likely resistant and susceptible alleles. Five QTL-regions were validated showing consistent effect in the GWAS population and the breeding material. Stacking of the resistant alleles of these regions from zero to five showed significant decrease in DON values and increased germination ability. The haplotype information of a set of historical and modern Nordic varieties were analysed, and the results could be used to select parents for future crossings. The validated haplotypes from this study can be used either to do marker assisted selection (MAS) or improve genomic prediction models in breeding programs.

Diagnostics of Fusarium wilt in banana: Current status and challenges

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Diagnostics of Fusarium wilt in banana: Current status and challenges

This review highlights challenges in the detection of Fusarium wilt TR4 in banana through a critical assessment of published diagnostic methods and their validation in light of existing genetic diversity in pathogen populations.


Abstract

Global banana production is under threat from the rapidly spreading pathogen Fusarium oxysporum f. sp. cubense (Foc) tropical race 4 (TR4), which is pathogenic to Cavendish and many other varieties. Due to the absence of effective control methods and the lack of other market-acceptable resistant cultivars, early diagnostics, containment and quarantine measures are important to limit further spread and impact of this pathogen. Early detection and identification of the pathogen require reliable diagnostic assays. The reliability of a molecular diagnostic assay is directly linked to the rigour applied at validating the assay according to predetermined standards. For specific detection of a target pathogen using molecular diagnostics, a well-resolved taxonomy of the target and related species based on their evolutionary relationships is also required. The advent of sequence-based phylogenetic analysis has given rise to new insights regarding the taxonomic classification of Foc and provided proof for the polyphyletic origin of Foc races, complicating early and reliable detection of the pathogen. Although numerous diagnostic methods for Foc have been developed, choosing a rigorously validated and fit-for-purpose method for adoption is currently challenging as advantages and drawbacks for each assay are not always obvious or put into context with prior methodologies. This review compiles and critically dissects published methods that are reported to detect Foc to date and highlights their benefits and constraints to provide a valuable reference for diagnosticians, researchers and policy makers worldwide.

Volatile organic compounds as potential biomarkers of Cadophora luteo‐olivacea presence on kiwifruits

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Volatile organic compounds as potential biomarkers of Cadophora luteo-olivacea presence on kiwifruits

The results suggested that the volatile compounds are released during the early phase of the interaction between kiwifruit (host) and Cadophora luteo-olivacea (pathogen).


Abstract

Cadophora luteo-olivacea is the causal agent of the skin-pitting disease of kiwifruit, a syndrome that appears after 4–5 months of cold storage. However, it is assumed that the infection takes place in the field during fruit development. The present work takes into consideration the production of volatile organic compounds (VOCs) of Actinidia deliciosa ‘Hayward’ at different phenological phases as potential C. luteo-olivacea infection biomarkers. In vitro assays were conducted to gain knowledge on the effect of kiwifruit VOCs on pathogen conidial germination and mycelial growth. VOCs produced by kiwifruit either inoculated or not with C. luteo-olivacea were analysed at different phenological phases by SPME/GC–MS analysis. In particular, ethanol, o -xylene, d-limonene and acetic acid showed a significant increase in the presence of fungal inoculation. Ethanol and d-limonene were also detected as volatile metabolites of the pathogen. The effect of each compound (ethanol, o -xylene, d-limonene and acetic acid) was tested on the fungal conidial germination at different concentrations, showing a growth stimulation at lower amounts. These results show how the production of some VOCs can contribute to the knowledge of fruit–pathogen interaction in the field with the aim of developing future tools for early disease detection and consequent effective control.

Long‐ and short‐read sequencing methods discover distinct circular RNA pools in Lotus japonicus

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Abstract

Circular RNAs (circRNAs) are covalently closed single-stranded RNAs, generated through a back-splicing process that links a downstream 5′ site to an upstream 3′ end. The only distinction in the sequence between circRNA and their linear cognate RNA is the back splice junction. Their low abundance and sequence similarity with their linear origin RNA have made the discovery and identification of circRNA challenging. We have identified almost 6000 novel circRNAs from Lotus japonicus leaf tissue using different enrichment, amplification, and sequencing methods as well as alternative bioinformatics pipelines. The different methodologies identified different pools of circRNA with little overlap. We validated circRNA identified by the different methods using reverse transcription polymerase chain reaction and characterized sequence variations using nanopore sequencing. We compared validated circRNA identified in L. japonicus to other plant species and showed conservation of high-confidence circRNA-expressing genes. This is the first identification of L. japonicus circRNA and provides a resource for further characterization of their function in gene regulation. CircRNAs identified in this study originated from genes involved in all biological functions of eukaryotic cells. The comparison of methodologies and technologies to sequence, identify, analyze, and validate circRNA from plant tissues will enable further research to characterize the function and biogenesis of circRNA in L. japonicus.

Genome‐wide SNP discovery and genotyping delineates potential QTLs underlying major yield‐attributing traits in buckwheat

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Abstract

Buckwheat (Fagopyrum spp.) is an important nutritional and nutraceutical-rich pseudo-cereal crop. Despite its obvious potential as a functional food, buckwheat has not been fully harnessed due to its low yield, self-incompatibility, increased seed cracking, limited seed set, lodging, and frost susceptibility. The inadequate availability of genomics resources in buckwheat is one of the major reasons for this. In the present study, genome-wide association mapping (GWAS) was conducted to identify loci associated with various morphological and yield-related traits in buckwheat. High throughput genotyping by sequencing led to the identification of 34,978 single nucleotide polymorphisms that were distributed across eight chromosomes. Population structure analysis grouped the genotypes into three sub-populations. The genotypes were also characterized for various qualitative and quantitative traits at two diverse locations, the analysis of which revealed a significant difference in the mean values. The association analysis revealed a total of 71 significant marker–trait associations across eight chromosomes. The candidate genes were identified near 100 Kb of quantitative trait loci (QTLs), providing insights into several metabolic and biosynthetic pathways. The integration of phenology and GWAS in the present study is useful to uncover the consistent genomic regions, related markers associated with various yield-related traits, and potential candidate genes having implications for being utilized in molecular breeding for the improvement of economically important traits in buckwheat. Moreover, the identified QTLs will assist in tracking the desirable alleles of target genes within the buckwheat breeding populations/germplasm.

Unveiling mechanisms for induced systemic resistance, resistance breeding and molecular marker‐assisted breeding against Phomopsis blight of Solanum melongena

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Unveiling mechanisms for induced systemic resistance, resistance breeding and molecular marker-assisted breeding against Phomopsis blight of Solanum melongena

This paper reviews resistance in eggplant (brinjal) cultivars against Phomopsis vexans via heterosis breeding, induced resistance, grafting and marker-assisted techniques.


Abstract

Phomopsis vexans is one of the most destructive fungal pathogens associated with eggplant and currently poses a significant threat to eggplant production worldwide. The detrimental impact of P. vexans on eggplant yield has been extensively explored by various mycologists who have conducted thorough studies on the diversity, pathology and biological aspects of the pathogen. However, achieving enduring resistance or effective management has proven to be a challenge thus far. PCR-based detection and molecular association of Phomopsis resistance use molecular markers to examine the potential for heterosis in various crosses, aiming for premium hybrids with genetic resistance and high-yielding capabilities. The latest genome sequencing methods and availability of a wider range of genetic diversity has enabled the breeding of resistant varieties of eggplant. This review provides a detailed description on P. vexans including its epidemiology, dispersal methods, symptomology, colony characteristics, taxonomy and evolution of its strains. Different resistance breeding techniques including heterosis breeding, host plant resistance, identification of resistant sources, inheritance pattern for Phomopsis resistance, importance of grafting to impart resistance, significance of induced resistance, PCR-based detection and molecular association of Phomopsis resistance are explained. Future approaches include molecular marker techniques such as genome-wide association studies, sequence-characterized amplified regions (SCAR), role of biotic inducers, pathogenesis-related proteins and plant growth-promoting rhizobacteria against Phomopsis blight of eggplant.