Morpho-cultural, pathological and molecular variability in Phloeospora maculans causing leaf spot of mulberry (Morus species) in India.

BACKGROUND: Leaf spot disease (LSD) of mulberry caused by Phloeospora maculans is a major threat to the silk industry of Jammu and Kashmir, India, therefore, it was necessary to study the population structure of the pathogen for successful management of the disease. METHODS AND RESULTS: To understand the diversity in the Phloeospora maculans, a combination of conventional (morphological, cultural and pathological) and molecular (ISSR markers) approaches were employed to discern the variability in 27 isolates collected from Srinagar, Bandipora, and Baramulla districts of Jammu and Kashmir, India. The studies revealed a high level of variability in the pathogen. Based on the morpho-cultural and pathological studies, the pathogen isolates were grouped into different categories based on colony growth, texture, margin and colour besides changes in colour of medium, incubation period, leaf area infected, etc.A high level of polymorphism was observed in different isolates of P. maculans using ISSR markers, which indicated that these markers are suitable for studying the genetic diversity in this pathogen. All the isolates (27) of P. maculans were clustered into two groups or populations as indicated by mean delta K value. Analysis of molecular variance revealed the low genetic variation among the populations (1.08%) and a high level of genetic variation within the populations (98.91%). Fst value was found to be 0.01 indicating smaller amount of genetic differentiation between the populations against calculated P-value of 0.29. CONCLUSION: A high level of diversity based on morphological, cultural, pathological and molecular levels was observed in Phloeospora maculans collected from various districts of Kashmir valley, which indicates that the study of population structure is necessary for successful management of the disease.

Genetic footprint of population diversity and genetic structure of Venturia inaequalis infecting apple (Malus × domestica Borkh.).

Apple scab instigated by Venturia inaequalis impels remarkable losses to apple fruit production. In an effort to comprehend the key mechanisms of evolutionary potential defining V. inaequalis population, 132 isolates of V. inaequalis from five commercial apple orchards were collected and assayed using 14 microsatellite markers. The average diversity was observed within the individuals of populations based on the Shannon-Wieners index (I) and observed heterozygosity (Ho) was average but considerably lower than expected heterozygosity (He). The genetic differentiation based on FST values was revealed as an average measure of divergence between populations and had varying proportions of gene flow and migration among themselves. Analysis of Molecular Variance (AMOVA) revealed that variance (94%) was dispersed across individuals with a significant (6%) variation between populations from different regions. To examine host specialization within the V. inaequalis population, the assignment approach based on K-means of clustering (an unsupervised machine learning approach), revealed that the clustering method supported three clusters at (K = 3) and three major clusters were also observed in Principle Component Analysis (PCA). Additionally, Nei's genetic distance values, pairwise estimates of genetic differentiation, dendrogram using the neighbor-joining and PCoA revealed the random distribution of V. Inaequalis isolates that depicted a high proportion of genotypic diversity within populations and population genetic structure. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03672-2.

Development of PCR based SSR markers for Wilsonomyces carpophilus and a PCR based diagnosis protocol for the early detection of shot hole disease in stone fruit crops.

BACKGROUND: The conidial Ascomycota fungus Wilsonomyces carpophilus causing shot hole in stone fruits is a major constraint in the production of stone fruits worldwide. Shothole disease symptoms appear on leaves, fruits, and twigs. Successful isolation of the pathogen from different hosts on synthetic culture medium is a time consuming and tedious procedure for identification of the pathogen based on morpho-cultural characterization. METHODS AND RESULTS: The present research was carried out to develop a successful PCR based early detection protocol for the shot hole disease of stone fruits, viz., peach, plum, apricot, cherry, and almond using the pathogen specific SSR markers developed from the Wilsonomyces carpophilus genome using Genome-wide Microsatellite Analysing Tool package (GMATA) software. Diseased leaf samples of different stone fruits were collected from the SKUAST-K orchard and the pathogen was isolated on potato dextrose agar (PDA) medium and maintained on Asthana and Hawkers' medium with a total of 50 pathogen isolates comprised of 10 isolates each from peach, plum, apricot, cherry and almond. The DNA was extracted from both healthy and infected leaf samples of different stone fruits. The DNA was also extracted from the isolated pathogen cultures (50 isolates). Out of 2851 SSR markers developed, 30 SSRs were used for the successful amplification of DNA extracted from all the 50 pathogen isolates. These SSRs were used for the amplification DNA from shot hole infected leaf samples of different stone fruits, but the amplification was not observed in the control samples (DNA from healthy leaves), thus confirming the detection of this disease directly from the shot hole infected samples using PCR based SSR markers. To our knowledge, this forms the first report of SSR development for the Wilsonomyces carpophilus and their validation for the detection of shot hole disease directly from infected leaves. CONCLUSION: PCR based SSR makers were successfully developed and used for the detection of Wilsonomyces carpophilus causing shot hole disease in stone fruits including almond in nuts for the first time. These SSR markers could successfully detect the pathogen directly from the infected leaves of stone fruits namely peach, plum, apricot and cherry including almond from the nuts.

Whole genome sequencing of Wilsonomyces carpophilus, an incitant of shot hole disease in stone fruits: insights into secreted proteins of a necrotrophic fungal repository.

BACKGROUND: Shot hole is one of the important fungal diseases in stone fruits viz., peach, plum, apricot and cherry caused by Wilsonomyces carpophilus and almond among nut crops. Fungicides significantly decrease the disease. Pathogenicity studies proved a wide host range of the pathogen infecting all stone fruits and almond among the nut crops, however, the mechanism underlying host-pathogen interaction is still unknown. Molecular detection of the pathogen using polymerase chain reaction (PCR) based simple sequence repeat (SSR) markers is also unknown due to the unavailability of the pathogen genome. METHODS AND RESULTS: We examined the morphology, pathology and genomics of the Wilsonomyces carpophilus. Whole genome sequencing of the W. carpophilus was carried out by Illumina HiSeq and PacBio high throughput sequencing plate-forms through hybrid assembly. Constant selection pressure alters the molecular mechanism of the pathogen causing disease. The studies revealed that the necrotrophs are more lethal with a complex pathogenicity mechanism and little-understood effector repositories. The different isolates of necrotrophic fungus W. carpophilus causing shot hole in stone fruits namely peach, plum, apricot and cherry, and almonds among the nut crops showed a significant variation in their morphology, however, the probability value (p = 0.29) suggests in-significant difference in the pathogenicity. Here, we reported draft genome of W. carpophilus of size 29.9 Mb (Accession number: PRJNA791904). A total of 10,901 protein-coding genes were predicted, including heterokaryon incompatibility genes, cytochrome-p450 genes, kinases, sugar transporters among others. We found 2851 simple sequence repeats (SSRs), tRNAs, rRNAs and pseudogenes in the genome. The most prominent proteins showing necrotrophic lifestyle of the pathogen were hydrolases, polysaccharide-degrading enzymes, esterolytic, lipolytic, and proteolytic enzymes accounted for 225 released proteins. Among the 223 fungal species, top-hit species distribution revealed the majority of hits against the Pyrenochaeta species followed by Ascochyta rabiei and Alternaria alternata. CONCLUSION: Draft genome of W. carpophilus is 29.9 Mb based on Illumina HiSeq and PacBio hybrid assembly. The necrotrophs are more lethal with a complex pathogenicity mechanism. A significant variation in morphology was observed in different pathogen isolates. A total of 10,901 protein-coding genes were predicted in the pathogen genome including heterokaryon incompatibility, cytochrome-p450 genes, kinases and sugar transporters. We found 2851 SSRs, tRNAs, rRNAs and pseudogenes, and prominent proteins showing necrotrophic lifestyle such as hydrolases, polysaccharide-degrading enzymes, esterolytic, lipolytic and proteolytic enzymes. The top-hit species distribution were against the Pyrenochaeta spp. followed by Ascochyta rabiei.

North-Western Himalayan Common Beans: Population Structure and Mapping of Quantitative Anthracnose Resistance Through Genome Wide Association Study.

Common bean (Phaseolus vulgaris L.) is an important legume crop of north-western (NW) Himalayan region and the major disease that causes catastrophic loss to the crop is anthracnose, which is caused by Colletotrichum lindemuthianum. The pathogen is highly diverse and most of the commercial cultivars are susceptible to different races prevalent in the region. The lack of information on the genomic regions associated with anthracnose resistance in NW Himalayan common bean population prompted us to dissect Quantitative Resistance Loci (QRLs) against major anthracnose races. In this study, 188 common bean landraces collected from NW region were screened against five important anthracnose races and 113 bean genotypes showed resistance to one or multiple races. Genotyping by sequencing (GBS) was performed on a panel of 192 bean lines (4 controls plus 188 Indian beans) and 22,589 SNPs were obtained that are evenly distributed. Population structure analysis of 192 bean genotypes categorized 188 Indian beans into two major clusters representing Andean and Mesoamerican gene pools with obvious admixtures. Many QRLs associated with anthracnose resistance to Indian C. lindemuthianum virulences (race 3, 87, and 503) are located at Pv04 within the gene models that encode typical resistance gene signatures. The QRLs associated with race 73 are located on Pv08 and overlaps with Co-4 anthracnose resistance gene. A SNP located at distal end of Pv11 in a gene model Phvul.011G202300 which encodes a LRR with a typical NB-ARC domain showed association with race 73 resistance. Common bean genomic regions located at Pv03, Pv09, and Pv11 showed association with resistance to anthracnose race 2047. The present study showed presence of many novel bean genomic regions associated with anthracnose resistance. The presence of Co-4 and Co-2 genes in our material is encouraging for breeding durable anthracnose resistant cultivars for the region.

Population structure of Venturia inaequalis, a hemibiotrophic fungus, under different host resistance specificities in the Kashmir valley.

Venturia inaequalis is a notorious fungal pathogen and show classical gene for gene interaction with its apple host. Neutral markers provide clues about history, evolutionary potential, genetic diversity and population structure of V. inaequalis. The genetic diversity and population structure of fungus indicates that the pathogen is highly diverse with the capacity to breach the scab resistance genes. In the present study, we collected 108 V. inaequalis isolates from three apple cultivars differing in Rvi1 resistance gene. Based on the AMOVA, the variation was mostly distributed among the isolates, providing evidence of non-existence of subpopulation in orchards thus founder population is difficult to arise in Kashmir apple orchards. Pair wise genetic differentiation is less due to regular occurrence of gene flow between the populations residing on different orchard as infected material is transported without stringent quarantine measures. Based on principal coordinate analysis and clustering algorithm as implemented in STRUCTURE, we observed admixture between the two subpopulations, which is quite low, suggesting the existence of pre-zygotic and post-zygotic barriers to gene flow and we cannot rule out the existence of other structures shared by accessions belonging to different varieties. Due to the continuous increase in introduction and monoculture of apple varieties, mixed orchard with different host resistance specificities are more suitable for managing the apple scab in Kashmir valley.