Recent Trends and Advancements in CRISPR-Based Tools for Enhancing Resistance against Plant Pathogens

Ijaz, Munazza; Khan, Fahad; Zaki, Haitham E. M.; Khan, Muhammad Munem; Radwan, Khlode S. A.; Jiang, Yugen; Qian, Junxi; Shahid, Muhammad; Luo, Jinyan; Li, Bin

doi:10.3390/plants12091911

Cited by 11 publications

(6 citation statements)

References 122 publications

(113 reference statements)

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“…The host's hub proteins may be used as molecular markers to assist genetic improvement programs or for direct genetic manipulation through CRISPR-Cas9 technology for the development of phytoplasma-resistant plants [138]. Likewise, the identification of targets in insect vectors may enable us to control phytoplasmas through the modulation of gene expression in insects with gene silencing [139,140]. In addition to their practical applications, these experimental evaluations also uncover the mechanisms used by phytoplasma effectors and effector roles during host-pathogen interactions.…”

Section: Discussionmentioning

confidence: 99%

Novel Insights into Phytoplasma Effectors

Carreón-Anguiano,

Vila-Luna,

Sáenz-Carbonell

et al. 2023

Horticulturae

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Effectoromics has become integral to the identification of pathogen targets and/or host-resistant proteins for the genetic improvement of plants in agriculture and horticulture. Phytoplasmas are the causal agents of more than 100 plant diseases in economically important crops such as vegetables, spices, medicinal plants, ornamentals, palms, fruit trees, etc. To date, around 20 effectors in phytoplasmas have been experimentally validated but the list of putative effectors comprises hundreds of different proteins. Very few families (tribes) have been identified based on homology, such as the SAP05-like, SAP11-like, SAP54-like and TENGU-like families. The lack of conservation in amino acid sequences slows the progress of effectoromics in phytoplasmas since many effectors must be studied individually. Here, 717 phytoplasma effector candidates and 21 validated effectors were characterized in silico to identify common features. We identified functional domains in 153 effectors, while 585 had no known domains. The most frequently identified domain was the sequence-variable mosaic domain (SVM domain), widely distributed in 87 phytoplasma effectors. Searching for de novo amino acid motifs, 50 were found in the phytoplasma effector dataset; 696 amino acid sequences of effectors had at least 1 motif while 42 had no motif at all. These data allowed us to organize effectors into 15 tribes, uncovering, for the first time, evolutionary relationships largely masked by lack of sequence conservation among effectors. We also identified 42 eukaryotic linear motifs (ELMs) in phytoplasma effector sequences. Since the motifs are related to common functions, this novel organization of phytoplasma effectors may help further advance effectoromics research to combat phytoplasma infection in agriculture and horticulture.

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Section: Discussionmentioning

confidence: 99%

Novel Insights into Phytoplasma Effectors

Carreón-Anguiano,

Vila-Luna,

Sáenz-Carbonell

et al. 2023

Horticulturae

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“… The data are anticipated to be used for scientific uses. The genomic data can be used to identify targets for the suppression of essential pathogen gene function through RNA interference, mutagenesis, or gene editing through CRISPR/Cas9-mediated processes that synthetically modify genes [ [1] , [2] , [3] , [4] , [5] ]. The suppression of the function of the essential SBRM genes leads to the death of the pathogen, allowing the plant to grow unimpeded by the, otherwise, detrimental effects of the pathogen which would improve the agronomic value of the crop.…”

Section: Value Of the Datamentioning

confidence: 99%

A de novo assembly of genomic dataset sequences of the sugar beet root maggot Tetanops myopaeformis, TmSBRM_v1.0

Alkharouf,

Chu,

Klink

2024

Data in Brief

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“…The targeted approach of CRISPR/Cas 9 holds great promise in reducing the susceptibility of plants to bacterial diseases caused by organisms like Xanthomonas . By editing the S genes, it is possible to hinder the ability of Xanthomonas to colonize plants like sugar beet roots and consequently prevent disease formation . By employing this strategy, it becomes possible to diminish reliance on agrochemicals and implement more sustainable and efficient disease control methods for farmers .…”

Section: Major Bacterial Diseases Of Sugar Beet and Harnessing Crispr...mentioning

confidence: 99%

Exploring CRISPR/Cas9 Gene Editing Applications for Enhancing Disease Resistance in Sugar Beet

Misra,

Pandey,

Mall

2023

ACS Agric. Sci. Technol.

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Sugar beet, an important sugar crop utilized for the production of beet sugar, fulfills the world's sugar demands to about 25%, accompanying cane sugar. The production of sugar beet encounters significant challenges attributed to devastating diseases that result in a decreased crop yield. Disease-resistant varieties are key to mitigating productivity losses traditionally developed through conventional breeding. However, the advent of CRISPR/Cas9 genome editing has accelerated the creation of resistant sugar beet varieties by enabling precise genetic modifications. This advanced technology offers an effective approach to combat bacterial, fungal, and viral pathogens, leading to the development of sugar beet varieties with varying degrees of resistance. The paper elucidates the revolutionary impact of CRISPR/Cas9 on sugar beet, revealing essential regulators of disease resistance and providing insights into interactions with pathogens and the sugar beet microbiome. The integration of CRISPR/Cas9 with other techniques opens novel avenues for understanding and developing disease-resistant sugar beet varieties, marking a significant advancement in the field.

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Recent Trends and Advancements in CRISPR-Based Tools for Enhancing Resistance against Plant Pathogens

Cited by 11 publications

References 122 publications

Novel Insights into Phytoplasma Effectors

Novel Insights into Phytoplasma Effectors

A de novo assembly of genomic dataset sequences of the sugar beet root maggot Tetanops myopaeformis, TmSBRM_v1.0

Exploring CRISPR/Cas9 Gene Editing Applications for Enhancing Disease Resistance in Sugar Beet

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