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Dar MS, Ahmad M, Yetoo NUN, Bhatt B, Bhat SN, Altaf H, Rafiqee S, Nabi A, Mohiddin FA, Gaafar ARZ, Mansoor S, Shah MD, Mushtaq M. Genetic footprint of population diversity and genetic structure of Venturia inaequalis infecting apple (Malus × domestica Borkh.). 3 Biotech 2023; 13:273. [PMID: 37449250 PMCID: PMC10335993 DOI: 10.1007/s13205-023-03672-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
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.
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Affiliation(s)
- Mohammad Saleem Dar
- Division of Plant Pathology, Faculty of Agriculture, SKUAST-Kashmir, Wadura, Sopore, Jammu and Kashmir 193201 India
| | - Mushtaq Ahmad
- Division of Plant Pathology, Faculty of Horticulture, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir 190025 India
| | - Nakeeb-Un-Nisa Yetoo
- Division of Genetics and Plant Breeding, FoA, SKUAST-K, Wadura, Sopore, Jammu and Kashmir 193201 India
| | - Bhagyshree Bhatt
- MS Swaminathan School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh 173229 India
| | - Suhail Nazir Bhat
- Division of Fruit Science, Faculty of Horticulture, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir 190025 India
| | - Heena Altaf
- Division of Plant Pathology, Faculty of Agriculture, SKUAST-Kashmir, Wadura, Sopore, Jammu and Kashmir 193201 India
| | - Sumira Rafiqee
- Division of Genetics and Plant Breeding, FoA, SKUAST-K, Wadura, Sopore, Jammu and Kashmir 193201 India
| | - Asha Nabi
- Division of Plant Pathology, Faculty of Agriculture, SKUAST-Kashmir, Wadura, Sopore, Jammu and Kashmir 193201 India
| | - F. A. Mohiddin
- Mountain Research Centre for Field Crops, SKUAST-Kashmir, Khudwani, Kulgam, Jammu and Kashmir 192101 India
| | - Abdel-Rhman Z. Gaafar
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia
| | - Sheikh Mansoor
- Department of Plant Resources and Environment, Jeju National University, Jeju, 63243 Republic of Korea
| | - Mehraj D. Shah
- Division of Plant Pathology, Faculty of Horticulture, SKUAST-Kashmir, Shalimar, Srinagar, Jammu and Kashmir 190025 India
| | - Muntazir Mushtaq
- MS Swaminathan School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh 173229 India
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Comparative transcriptomics unravels new genes imparting scab resistance in apple (Malus x domestica Borkh.). Funct Integr Genomics 2022; 22:1315-1330. [PMID: 35931837 DOI: 10.1007/s10142-022-00889-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 07/21/2022] [Accepted: 07/21/2022] [Indexed: 11/04/2022]
Abstract
Apple scab is caused by an ascomycete fungus, Venturia inaequalis (Cke.) Wint., which is one of the most severe disease of apple (Malus × Domestica Borkh.) worldwide. The disease results in 30-40% fruit loss annually and even complete loss in some places. Owing to the evolving susceptibility of resistant apple genotypes harboring R-genes to new variants of V. inaequalis, a comparative transcriptome analysis using Illumina (HiSeq) platform of three scab-resistant (Florina, Prima, and White Dotted Red) and three susceptible (Ambri, Vista Bella, and Red Delicious) apple genotypes was carried out to mine new scab resistance genes. The study led to the identification of 822 differentially expressed genes in the tested scab-resistant and scab-susceptible apple genotypes. The most upregulated genes uniformly expressed in resistant varieties compared to susceptible ones were those coding for 17.3 kDa class II heat shock protein-like, chaperone protein ClpB1, glutathione S-transferase L3-like protein, B3 domain-containing protein At3g18960-like, transcription factor bHLH7, zinc finger MYM-type protein 1-like, and nine uncharacterized proteins, besides three lncRNAs. The genes that were downregulated in susceptible and upregulated in resistant cultivars were those coding for non-specific lipid transfer protein GPI-anchored 1, rust resistance kinase Lr10-like, disease resistance protein RPS6-like, and many uncharacterized proteins. DESeq2 analysis too revealed 20 DEGs that were upregulated in scab-resistant cultivars. Furthermore, a total of 361 genes were significantly upregulated in scab-susceptible variety, while 461 were found downregulated (P value < 0.05 and Log2 (FC) > 1). The differentially expressed genes (DEGs) were related to various pathways, i.e., metabolic, protein processing, biosynthesis of secondary metabolites, plant hormone signal transduction, autophagy, ubiquitin-mediated proteolysis, plant-pathogen interaction, lipid metabolism, and protein modification pathways. Real-time expression of a set of selected twelve DEGs further validated the results obtained from RNA-seq. Overall, these findings lay the foundation for investigating the genetic basis of apple scab resistance and defense pathways that might have a plausible role in governing scab resistance in apple against V. inaequalis.
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