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Genetics and Breeding for Disease Resistance in Plants
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Genetics and Breeding for Disease Resistance in Plants

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Protection and Biotic Interactions".

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 7935

Special Issue Editor

Dr. Hugo E. Cuevas

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Guest Editor
USDA ARS Tropical Agriculture Research Station
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Plant diseases place important constraints on worldwide crop production. The presence of multiple disease-resistant sources in plant breeding programs is necessary to enhance germplasm or create new cultivars. The existence of different plant pathogens (virus, bacteria, fungi, and mycoplasma), types of plant resistance, as well as different crops production systems makes plant breeding for disease resistance a science and art that involves a broad knowledge of plant pathology, quantitative genetics, breeding, and molecular biology. In recent years, the integration of high-throughout- ‘’omics’’ technology such as genomics, proteomics, and metabolomics has become an important tool in agriculture-related science. This new edge technology is being used to identify new resistant sources in large germplasm collections, mine germplasm collections for new resistant genes alleles, study plant–pathogen interactions, and identify and select superior plants. Certainly, the integration of such a technology into traditional plant-breeding approaches for disease resistance could have a large effect on the development of new cultivars. 

This Special Issue of Plants focuses on the use of high-throughout- 'omics’ technology to study the genetics and breeding of disease resistance in plants. We would like to include several articles related to different research topics (e.g., screening, plant–pathogen interactions, functional genomics, genome mapping of resistance genes, and marker assistant selection) that provide broad insight into the use of this new technology to understand plant disease resistance response in crops.

Dr. Hugo E. Cuevas
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Plants is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • next-generation sequencing
  • plant breeding
  • disease resistance
  • plant–pathogen interactions
  • germplasm screening
  • marker-assisted selection
  • genome mapping
  • gene expression analysis
  • functional genomics
  • genotype-by-sequence

Published Papers (2 papers)

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Research

8 pages, 372 KiB  
Article
Is Every Wild Species a Rich Source of Disease Resistance? Avena fatua L.—Potential Donor of Resistance to Powdery Mildew
by Sylwia Okoń, Tomasz Ociepa, Aleksandra Nucia, Magdalena Cieplak and Krzysztof Kowalczyk
Plants 2021, 10(3), 560; https://doi.org/10.3390/plants10030560 - 16 Mar 2021
Cited by 1 | Viewed by 1959
Abstract
Identifying effective sources of disease resistance is an important aspect of an effective plant protection strategy. Wild species related to cultivars constitute a rich reservoir of resistance genes. Studies conducted in oat have shown that wild species are donors of resistance genes to [...] Read more.
Identifying effective sources of disease resistance is an important aspect of an effective plant protection strategy. Wild species related to cultivars constitute a rich reservoir of resistance genes. Studies conducted in oat have shown that wild species are donors of resistance genes to crown and stem rust, powdery mildew or fusarium head blight. The aim of the present study was to prove whether A. fatua could be a source of effective resistance genes to powdery mildew. This species is widespread all over the world due to its very good adaptability and can be regarded as a potential source of resistance to fungal diseases, including powdery mildew. The conducted research has shown that A. fatua is a species with a low level of resistance to powdery mildew when compared to other wild species of the genus Avena L. A total of 251 accessions were evaluated, and only 23 were identified as resistant to the individual isolates used in the host-pathogen tests. It follows that resistance to powdery mildew is not common among wild Avena species, and its good environmental adaptation is not associated to resistance to powdery mildew. Full article
(This article belongs to the Special Issue Genetics and Breeding for Disease Resistance in Plants)
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28 pages, 5244 KiB  
Article
A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice (Oryza sativa L.)
by Ilakiya Sharanee Kumar and Kalaivani Nadarajah
Plants 2020, 9(11), 1491; https://doi.org/10.3390/plants9111491 - 5 Nov 2020
Cited by 28 | Viewed by 4624
Abstract
Rice blast, sheath blight and bacterial leaf blight are major rice diseases found worldwide. The development of resistant cultivars is generally perceived as the most effective way to combat these diseases. Plant disease resistance is a polygenic trait where a combinatorial effect of [...] Read more.
Rice blast, sheath blight and bacterial leaf blight are major rice diseases found worldwide. The development of resistant cultivars is generally perceived as the most effective way to combat these diseases. Plant disease resistance is a polygenic trait where a combinatorial effect of major and minor genes affects this trait. To locate the source of this trait, various quantitative trait loci (QTL) mapping studies have been performed in the past two decades. However, investigating the congruency between the reported QTL is a daunting task due to the heterogeneity amongst the QTLs studied. Hence, the aim of our study is to integrate the reported QTLs for resistance against rice blast, sheath blight and bacterial leaf blight and objectively analyze and consolidate the location of QTL clusters in the chromosomes, reducing the QTL intervals and thus identifying candidate genes within the selected meta-QTL. A total of twenty-seven studies for resistance QTLs to rice blast (8), sheath blight (15) and bacterial leaf blight (4) was compiled for QTL projection and analyses. Cumulatively, 333 QTLs associated with rice blast (114), sheath blight (151) and bacterial leaf blight (68) resistance were compiled, where 303 QTLs could be projected onto a consensus map saturated with 7633 loci. Meta-QTL analysis on 294 QTLs yielded 48 meta-QTLs, where QTLs with membership probability lower than 60% were excluded, reducing the number of QTLs within the meta-QTL to 274. Further, three meta-QTL regions (MQTL2.5, MQTL8.1 and MQTL9.1) were selected for functional analysis on the basis that MQTL2.5 harbors the highest number of QTLs; meanwhile, MQTL8.1 and MQTL9.1 have QTLs associated with all three diseases mentioned above. The functional analysis allows for determination of enriched gene ontology and resistance gene analogs (RGAs) and other defense-related genes. To summarize, MQTL2.5, MQTL8.1 and MQTL9.1 have a considerable number of R-genes that account for 10.21%, 4.08% and 6.42% of the total genes found in these meta-QTLs, respectively. Defense genes constitute around 3.70%, 8.16% and 6.42% of the total number of genes in MQTL2.5, MQTL8.1 and MQTL9.1, respectively. This frequency is higher than the total frequency of defense genes in the rice genome, which is 0.0096% (167 defense genes/17,272 total genes). The integration of the QTLs facilitates the identification of QTL hotspots for rice blast, sheath blight and bacterial blight resistance with reduced intervals, which helps to reduce linkage drag in breeding. The candidate genes within the promising regions could be utilized for improvement through genetical engineering. Full article
(This article belongs to the Special Issue Genetics and Breeding for Disease Resistance in Plants)
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