Sneha Adhikari, S. C. Bhardwaj, O. P. Gangwar, Pramod Prasad, Charu Lata, Subodh Kumar, Gulab Chand
{"title":"Morphological characterization and molecular diversity assessment of rust resistant genetic stocks of wheat","authors":"Sneha Adhikari, S. C. Bhardwaj, O. P. Gangwar, Pramod Prasad, Charu Lata, Subodh Kumar, Gulab Chand","doi":"10.1007/s40858-024-00650-8","DOIUrl":null,"url":null,"abstract":"<p>Wheat (<i>Triticum</i> spp.) is a global staple food crop, contributing significantly to the world's food security. Understanding and harnessing the genetic diversity within wheat cultivars is paramount for developing resilient and high-yielding varieties. The present study reports rust response of 31 registered rust resistant genetic stocks of wheat against recently identified and most virulent pathotypes of all three rust pathogens and their morphological and molecular diversity assessment. Analysis of variance (ANOVA) showed indicated significant differences among the genotypes for all the studied traits. Among 31 genetic stocks 30, 15, and 8 were found resistant against all the tested pathotypes of stem, leaf and stripe rust pathogens, respectively, whereas only two (FLW21 and FLW28) conferred resistance against all three rusts. Molecular profiling with 59 polymorphic SSRs resulted in 194 alleles with an average 3 alleles/loci. With an average of 0.54, the Polymorphism Information Content (PIC) varied from 0.34 to 0.75, reflecting higher allelic variation. The average gene diversity, heterozygosity, major allele frequency, and minor allele frequency were 0.61, 0.31, 0.48, and 0.52, respectively. Cluster analysis grouped 31 genetic stocks into 3 clusters. The AMOVA revealed that within population variation was higher than between them (76% vs. 24%). Clustering was further supported by the structure and Principal Coordinate Analysis (PCoA). Structure analysis grouped the genetic stocks into three sub-populations. These findings will help in suggesting different cross combinations for wheat rust resistance breeding and pyramiding of multiple rust resistance genes.</p>","PeriodicalId":23354,"journal":{"name":"Tropical Plant Pathology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tropical Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s40858-024-00650-8","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Wheat (Triticum spp.) is a global staple food crop, contributing significantly to the world's food security. Understanding and harnessing the genetic diversity within wheat cultivars is paramount for developing resilient and high-yielding varieties. The present study reports rust response of 31 registered rust resistant genetic stocks of wheat against recently identified and most virulent pathotypes of all three rust pathogens and their morphological and molecular diversity assessment. Analysis of variance (ANOVA) showed indicated significant differences among the genotypes for all the studied traits. Among 31 genetic stocks 30, 15, and 8 were found resistant against all the tested pathotypes of stem, leaf and stripe rust pathogens, respectively, whereas only two (FLW21 and FLW28) conferred resistance against all three rusts. Molecular profiling with 59 polymorphic SSRs resulted in 194 alleles with an average 3 alleles/loci. With an average of 0.54, the Polymorphism Information Content (PIC) varied from 0.34 to 0.75, reflecting higher allelic variation. The average gene diversity, heterozygosity, major allele frequency, and minor allele frequency were 0.61, 0.31, 0.48, and 0.52, respectively. Cluster analysis grouped 31 genetic stocks into 3 clusters. The AMOVA revealed that within population variation was higher than between them (76% vs. 24%). Clustering was further supported by the structure and Principal Coordinate Analysis (PCoA). Structure analysis grouped the genetic stocks into three sub-populations. These findings will help in suggesting different cross combinations for wheat rust resistance breeding and pyramiding of multiple rust resistance genes.
期刊介绍:
Tropical Plant Pathology is an international journal devoted to publishing a wide range of research on fundamental and applied aspects of plant diseases of concern to agricultural, forest and ornamental crops from tropical and subtropical environments.
Submissions must report original research that provides new insights into the etiology and epidemiology of plant disease as well as population biology of plant pathogens, host-pathogen interactions, physiological and molecular plant pathology, and strategies to promote crop protection.
The journal considers for publication: original articles, short communications, reviews and letters to the editor. For more details please check the submission guidelines.
Founded in 1976, the journal is the official publication of the Brazilian Phytopathology Society.