Development of a sequence‐characterized amplified region marker using inter‐simple sequence repeats for detection of <i>Puccinia striiformis</i> f. sp<i>. tritici</i>

Wang, Shuhe; Chu, Bingyao; Liu, Qi; Luo, Yong; Ma, Zhanhong

doi:10.1111/jph.12578

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…The DNA of each isolate was extracted using a modified cetyltrimethylammonium bromide (CTAB) protocol, as described by Wang et al [ 30 ]. The concentration and purity of the genomic DNA was ascertained twice using a NanoDrop 2000 ® UV-Vis Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA).…”

Section: Methodsmentioning

confidence: 99%

Genetic Characterization of Puccinia striiformis f. sp. tritici Populations from Different Wheat Cultivars Using Simple Sequence Repeats

Wang

Gao

Sun

et al. 2022

JoF

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Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most important fungal diseases affecting wheat (Triticum aestivum L.) worldwide. In this study, the genetic diversity and population structure of Pst isolates were analyzed using 15 microsatellite markers. Isolates were collected from five wheat cultivars with different levels of resistance from Yanting county and Fucheng district, Mianyang city, Sichuan province, China. The aim of this study was to investigate whether Pst populations are differentiated by wheat genotype or geographic origin. Seventy-six multilocus genotypes (MLGs) were identified from all 289 single uredinial isolates. In general, the genotypic diversity of Pst populations from five wheat cultivars in Fucheng was higher than that in Yanting. In addition, the genetic diversity was highest in the Pst populations from Mianmai 367, a cultivar considered to be highly resistant. The unweighted pair group method with arithmetic mean (UPGMA) phylogenetic tree, Bayesian clustering analysis, and minimum spanning network for the MLGs revealed two major genetic clusters based on geographical location. Greater differentiation was observed between the populations from the two sampling locations than between the populations from different hosts in the same location. The results suggest that geographic and environmental differences could partially explain the genetic differentiation of Pst more than wheat genotype. This study provides novel insight into the interactions between Pst populations and their hosts. The results could be helpful in designing more effective management strategies for stripe rust in wheat production.

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Section: Methodsmentioning

confidence: 99%

Genetic Characterization of Puccinia striiformis f. sp. tritici Populations from Different Wheat Cultivars Using Simple Sequence Repeats

Wang

Gao

Sun

et al. 2022

JoF

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“…morsprunorum (races-1 and 2) [27] Puccinia striiformis f. sp. tritici [28,29] Ralstonia solanacearum race 2 [30] Rhizoctonia solani AG 1-IB [31] AG 1-IB and AG 2-2IIIB [32] Plasmodiophora brassicae P1 [33] Sclerospora graminicola Pathotype 1 [34] Synchytrium endobioticum Pathotype D1 [20] Xanthomonas axonopodis pv. dieffenbachiae [35,36] Xanthomonas campestris pv.…”

Section: Scar Marker For Strain-level Detectionunclassified

SCAR marker: A potential tool for authentication of agriculturally important microorganisms

Ambreetha

Balachandar

2022

J Basic Microbiol

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Microbial inoculants are globally recommended for plant growth promotion and control of plant pathogens. These inoculants require stringent quality checks for sustainable field efficacy. Questionable regulatory frameworks constantly deteriorate the reliability of bio‐inoculant technology. Existing global regulations do not involve any rapid molecular technique for the routine inspection of microbial preparations. Sequence characterized amplified region (SCAR) marker offers rapid and precise strain‐level authentication of target microbes. Such advanced molecular techniques must be exploited to accurately validate the microbial formulations. Besides, the global dissemination of plant pathogenic microbes has always been an alarming threat to food security. SCAR markers could be used at the plant quarantine centers to rapidly detect catastrophic pathogens, thereby circumventing the import and export of contagious plant materials. The current review is focused on promoting the SCAR marker technology to validate commercial bio‐inoculants and predict plant pandemics.

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“…Different molecular methods -amplified fragment length polymorphism (AFLP), random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), single nucleotide polymorphism (SNP) markers and simple sequence repeats (SSR) have been used to understand genetic structures of the pathogen (McDonald, 1997). Polymerase chain reaction (PCR) is successfully used for biotrophic fungi detection from infected host tissue (Fraije et al, 2001;Wang et al, 2017). As P. striiformis has genetic stability and genome specificity, genomespecific primers have been developed (Wang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Occurrence of genetic lineages of Puccinia Striiformis in Latvia

Feodorova-Fedotova¹,

Bankina²

2020

Research for Rural Development

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Puccinia striiformis is a biotrophic pathogen able to cause broad scale epidemics in wheat growing regions. P. striiformis is genetically highly variable pathogen. New, aggressive genetic lineages, adapted to warm temperatures have been observed in the last decades worldwide. The study aimed to ascertain the structure of genetic lineages of P. striiformis in Latvia. Forty one wheat leaf samples with yellow rust symptoms were collected in 2017–2019. Fenotyping and genotyping methods were used for identification of genetic lineages in Global Rust Reference Center, Denmark. Assessments of leaf diseases on winter wheat differentials – ‘Ambition’, ‘Mariboss’, ‘Moro’, ‘Compair’, ‘Rendezvous’, ‘Spalding Prolific’ and local variety ’Fredis’ were made during the research. Five genetic lineages of P. striiformis – PstS4, PstS7, PstS10, PstS13 and PstS14 were found. 56% from the samples belonged to PstS14, 17.1% PstS10, 12.2% PstS4 and PstS7, 2.4% PstS13. Genetic lineages identified from Latvian wheat samples are found in the biggest cereal growing regions in Europe and are able to cause epidemics on wheat. Genetic lineages of P. striiformis from Latvian samples have not been identified before. All differential varieties were infected with P. striiformis in 2017, ‘Ambition’ and ‘Moro’ in 2018, no infection was observed on differentials in 2019 despite the presence of P. striiformis on winter wheat variety ‘Fredis’. The identification of genetic lineages of P. striiformis on wheat in Latvia is necessary to continue.

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Development of a sequence‐characterized amplified region marker using inter‐simple sequence repeats for detection of Puccinia striiformis f. sp. tritici

Cited by 6 publications

References 24 publications

Genetic Characterization of Puccinia striiformis f. sp. tritici Populations from Different Wheat Cultivars Using Simple Sequence Repeats

Genetic Characterization of Puccinia striiformis f. sp. tritici Populations from Different Wheat Cultivars Using Simple Sequence Repeats

SCAR marker: A potential tool for authentication of agriculturally important microorganisms

Occurrence of genetic lineages of Puccinia Striiformis in Latvia

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