Construction of an integrated linkage map and trait dissection for bacterial blight resistance in field pea (Pisum sativum L.)

Sudheesh, Shimna; Kennedy, Peter; Verma, Preeti; Leonforte, Antonio; Cogan, Noel O. I.; Materne, Michael; Forster, John W.; Kaur, Sukhjiwan

doi:10.1007/s11032-015-0376-4

Cited by 10 publications

(6 citation statements)

References 35 publications

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“…pisi have been reported to affect peas [107]. Race-specific monogenic resistances have been identified and mapped [108][109][110][111]. Additional QTLs have also been reported [112].…”

Section: Bacterial Blightmentioning

confidence: 99%

Breeding for Biotic Stress Resistance in Pea

Rubiales,

Barilli,

Rispail

2023

Agriculture

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Pea (Pisum sativum) stands out as one of the most significant and productive cool-season pulse crops cultivated worldwide. Dealing with biotic stresses remains a critical challenge in fully harnessing pea’s potential productivity. As such, dedicated research and developmental efforts are necessary to make use of omic resources and advanced breeding techniques. These approaches are crucial in facilitating the rapid and timely development of high-yielding varieties that can tolerate and resist multiple stresses. The availability of advanced genomic tools, such as comprehensive genetic maps and reliable DNA markers, holds immense promise for integrating resistance genes from diverse sources. This integration helps accelerate genetic gains in pea crops. This review provides an overview of recent accomplishments in the genetic and genomic resource development of peas. It also covers the inheritance of genes controlling various biotic stress responses, genes that control pathogenesis in disease-causing organisms, the mapping of genes/QTLs, as well as transcriptomic and proteomic advancements. By combining conventional and modern omics-enabled breeding strategies, genetic gains can be significantly enhanced.

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“…pisi have been reported to affect peas [107]. Race-specific monogenic resistances have been identified and mapped [108][109][110][111]. Additional QTLs have also been reported [112].…”

Section: Bacterial Blightmentioning

confidence: 99%

Breeding for Biotic Stress Resistance in Pea

Rubiales,

Barilli,

Rispail

2023

Agriculture

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“…They have been extensively used to construct densely populated intraspecific genetic linkage maps, and to identify QTLs (Sharpe et al, 2013 ; Kaur et al, 2014a ; Sudheesh et al, 2016 ). The information from multiple population-specific genetic maps can be integrated to produce high-density consensus structures utilizing the sequence-linked genetic markers which enables the identification of bridging loci between maps (Sudheesh et al, 2015a , b ).…”

Section: Marker-assisted Breeding For Ascochyta Blight Resistancementioning

confidence: 99%

Molecular Breeding for Ascochyta Blight Resistance in Lentil: Current Progress and Future Directions

et al. 2017

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Lentil (Lens culinaris Medik.) is a diploid (2n = 2x = 14), self-pollinating, cool-season, grain legume that is cultivated worldwide and is highly valuable due to its high protein content. However, lentil production is constrained by many factors including biotic stresses, majority of which are fungal diseases such as ascochyta blight (AB), fusarium wilt, rust, stemphylium blight, anthracnose, and botrytis gray mold. Among various diseases, AB is a major -problem in many lentil-producing countries and can significantly reduce crop production. Breeding for AB resistance has been a priority for breeding programs across the globe and consequently, a number of resistance sources have been identified and extensively exploited. In order to increase the efficiency of combining genes from different genetic backgrounds, molecular genetic tools can be integrated with conventional breeding methods. A range of genetic linkage maps have been generated based on DNA-based markers, and quantitative trait loci (QTLs) for AB resistance have been identified. Molecular markers linked to these QTLs may potentially be used for efficient pyramiding of the AB disease resistance genes. Significant genomic resources have been established to identify and characterize resistance genes, including an integrated genetic map, expressed sequence tag libraries, gene based markers, and draft genome sequences. These resources are already being utilized for lentil crop improvement, to more effectively select for disease resistance, as a case study of the Australian breeding program will show. The combination of genomic resources, effective molecular genetic tools and high resolution phenotyping tools will improve the efficiency of selection for ascochyta blight resistance and accelerate varietal development of global lentil breeding programs.

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“…The previously published Kaspa 9 PBA Oura genetic linkage map (Sudheesh et al 2015b) was used for QTL analysis as described by Sudheesh et al (2015a) using simple interval mapping (SIM) and composite interval mapping sequences (CIM) in QTL Cartographer v 2.5 (Wang et al 2012). The underlying sequences of SNP markers flanking the QTL-containing intervals were BLASTN analysed against Nt database (maintained by NCBI), coding sequences (CDS) and genome sequences of M. truncatula (Mt3.5, http://jcvi.org/ medicago/), with a threshold E-value of 10 -10 to annotate the SNP markers and to identify genomic regions containing putative candidate gene(s).…”

Section: Identification Of Qtls and Potential Candidate Genesmentioning

confidence: 99%

“…For field pea, belonging the Galegoid (cool-season) clade of the Papilionoideae sub-family of the legume sub-family Fabaceae, comparisons to the genomes of the model legumes Medicago truncatula Gaertn. and Lotus japonicus L., as well as chickpea (Cicer arietinum L.), are of particular value for identification of candidate genes (McConnell et al 2010;Leonforte 2013;Sudheesh et al 2015b).…”

Section: Introductionmentioning

confidence: 99%

Identification of QTLs associated with metribuzin tolerance in field pea (Pisum sativum L.)

et al. 2017

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Competition with weeds is a major constraint to production of field pea in Australia, exacerbated by limited herbicide control options. Metribuzin is considered to be a safe herbicide, but may be phytotoxic to both weeds and target crop. A preliminary glasshouse-based assay was used to identify the optimal concentration required for discrimination between tolerant and sensitive field pea genotypes as 10 ppm metribuzin. This dosage was subsequently used to screen the Kaspa 9 PBA Oura recombinant inbred line genetic mapping population of 185 individuals for tolerance to metribuzin in three individual controlled environment assays. After two weeks of metribuzin treatment, plants were assessed on the basis of both a numerical score for symptoms such as chlorosis and necrosis, and plant damage as a percentage of necrosis. The two phenotypic parameters showed a high level of correlation (r = 0.85-0.97). The locations and magnitudes of effect of quantitative trait loci (QTLs) were determined for metribuzin tolerance (based on both symptom score and plant damage) as well as several related morphological traits. Analysis of all characters detected a single genomic region located on linkage group (LG) Ps IV (LOD scores 3.5-5.7), accounting for proportions of phenotypic variance for plant symptom score and percentage of plant necrosis varying from 12 to 21%. Genetic markers based on genic sequences that closely flank the metribuzin tolerance QTL are suitable for implementation in field pea breeding programs. In addition, comparative genomics between field pea and Medicago truncatula identified a cytochrome P450 monooxygenase gene in the vicinity of the QTL, potentially involved in nontarget-site metabolism-based herbicide tolerance.

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Construction of an integrated linkage map and trait dissection for bacterial blight resistance in field pea (Pisum sativum L.)

Cited by 10 publications

References 35 publications

Breeding for Biotic Stress Resistance in Pea

Breeding for Biotic Stress Resistance in Pea

Molecular Breeding for Ascochyta Blight Resistance in Lentil: Current Progress and Future Directions

Identification of QTLs associated with metribuzin tolerance in field pea (Pisum sativum L.)

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