Identification of loci conferring resistance to 4 foliar diseases of maize DOI Creative Commons
Yuting Qiu, Pragya Adhikari, Peter Balint‐Kurti

et al.

G3 Genes Genomes Genetics, Journal Year: 2023, Volume and Issue: 14(2)

Published: Dec. 5, 2023

Foliar diseases of maize are among the most important worldwide. This study focused on 4 major foliar maize: Goss's wilt, gray leaf spot, northern corn blight, and southern blight. QTL mapping for resistance to wilt was conducted in disease introgression line populations with Oh7B as common recurrent parent Ki3, NC262, NC304, NC344 donor parents. Mapping results were combined previous studies blight same populations. We (1) individual linkage analysis identify specific each population; (2) Mahalanobis distance putative multiple regions 3) joint across disease. identified 3 lines that resistant all diseases. mapped 13 QTLs an additional 6 using mapping. All had small effects, confirming is highly quantitative. report several potentially chromosomal bins associated including 1.02, 1.03, 3.04, 4.06, 4.08, 9.03. Together, these findings indicate distribution not random there locations genome confer Furthermore, bacterial fungal entirely distinct, we both fungi bacteria, well loci

Language: Английский

Wheat resistance to Fusarium head blight and breeding strategies DOI Creative Commons
Haigang Ma, Yongjiang Liu, Suhong Zhang

et al.

Crop Health, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 8, 2025

Language: Английский

Citations

0

Overexpression of the GmERF071 gene confers resistance to soybean cyst nematode in soybean DOI Creative Commons
Erhui Xiong, Jiaqi Xu,

Pingzhang Feng

et al.

The Plant Genome, Journal Year: 2025, Volume and Issue: 18(2)

Published: April 29, 2025

Abstract Soybean cyst nematode (SCN) is one of the most harmful pests, causing major reductions in soybean yield globally. The validation and functional characterization SCN resistance genes are crucial to improving worldwide. Herein, we describe an gene, GmERF071 ( Glyma.19g262700 ). a hydrophilic, unstable protein with AP2/ERF subfamily ethylene response transcription factor domain, which localized nucleus. Overexpression enhanced stable genetic transformation root systems. RNA‐seq analysis revealed 394 upregulated 132 downregulated differentially expressed (DEGs) overexpression transgenic plants. DEGs participated plant‐pathogen interactions, mitogen‐activated kinase signaling, plant hormone signal transduction, chitin, carbohydrates, wounding starch sucrose metabolism, phenylpropionic acid biosynthesis, flavonoid biosynthesis. Nine candidate were verified using real‐time quantitative reverse PCR. These results suggest that plays key role could be used genomics‐assisted breeding develop varieties increased SCN.

Language: Английский

Citations

0

Comparative transcriptome analysis highlights resistance regulatory networks of maize in response to Exserohilum turcicum infection at the early stage DOI Open Access
M Li, Xin Qi, Dan Li

et al.

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(6)

Published: Nov. 1, 2024

Northern corn leaf blight, caused by Exserohilum turcicum (E. turcicum), is one of the most destructive diseases in maize, leading to serious yield losses. However, underlying molecular mechanisms E. infection response maize remain unclear. In this study, we performed comparative transcriptome analysis resistant inbred line J9D207 (R) and susceptible PH4CV (S) after infecting with at 0 h, 24 h 72 respectively. Compared 9656 (24 h) 8748 (72 differentially expressed genes (DEGs) were identified J9D207, 7915 7865 DEGs PH4CV. Kyoto Encyclopedia Genes Genomes (KEGG) enrichment showed that alpha-linolenic acid metabolism, benzoxazinoid biosynthesis, flavonoid biosynthesis phenylpropanoid might be involved defense reactions. Some coded for transcription factors, such as MYB-related, ERF, NAC, bZIP, bHLH WRKY families, which indicated they may participate resistance against turcicum. addition, SA, JA, ABA ET signaling pathways revealed. Moreover, 75 SOD activity-related 421 POD through weighted gene co-expression network (WGCNA), These results provide a novel insight into mechanism inoculation.

Language: Английский

Citations

3

The Role of Genetic Resistance in Rice Disease Management DOI Open Access
Andrews Danso Ofori, Tengda Zheng, John Kwame Titriku

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(3), P. 956 - 956

Published: Jan. 23, 2025

Rice (Oryza sativa) is a crucial staple crop for global food security, particularly in Asia. However, rice production faces significant challenges from various diseases that can cause substantial yield losses. This review explores the role of genetic resistance disease management, focusing on molecular mechanisms underlying plant–pathogen interactions and strategies developing resistant varieties. The paper discusses qualitative quantitative resistance, emphasizing importance (R) genes, defense-regulator trait loci (QTLs) conferring broad-spectrum resistance. Gene-for-gene relationships rice–pathogen are examined, Xanthomonas oryzae pv. Magnaporthe oryzae. also covers recent advancements breeding techniques, including marker-assisted selection, engineering, genome editing technologies like CRISPR-Cas. These approaches offer promising avenues enhancing while maintaining potential. Understanding exploiting durable disease-resistant varieties, essential ensuring sustainable security face evolving pathogen threats changing environmental conditions.

Language: Английский

Citations

0

The maize transcription factor CCT regulates drought tolerance by interacting with Fra a 1, E3 ligase WIPF2, and auxin response factor Aux/IAA8 DOI

Zhaoheng Zhang,

J.-P. Cai J.-L. Qu,

Min Lu

et al.

Journal of Experimental Botany, Journal Year: 2023, Volume and Issue: 75(1), P. 103 - 122

Published: Sept. 19, 2023

Abstract Plants are commonly exposed to abiotic stressors, which can affect their growth, productivity, and quality. Previously, the maize transcription factor ZmCCT was shown be involved in photoperiod response, delayed flowering, quantitative resistance Gibberella stalk rot. In this study, we demonstrate that regulate plant responses drought. physically interacted with ZmFra a 1, ZmWIPF2, ZmAux/IAA8, localized cell membrane, cytoplasm, nucleus, respectively, both vitro vivo yeast two-hybrid screen response stress. Notably, recruits ZmWIPF2 has strong E3 self-ubiquitination activity dependent on its RING-H2 finger domain vitro. When treated higher indole-3-acetic acid/abscisic acid ratios, height root length of Y331-ΔTE plants increased. exhibited increased exogenously applied auxin or ABA compared Y331 plants, indicating may negative regulator signalling maize. vivo, promoted biosynthesis ZmCCT-overexpressing Arabidopsis. RNA-sequencing DNA affinity purification-sequencing analyses showed expression ZmRD17, ZmAFP3, ZmPP2C, ZmARR16 under Our findings provide detailed overview molecular mechanism controlling functions highlight multiple roles promoting stress tolerance.

Language: Английский

Citations

7

Genome-wide association study (GWAS) reveals polygenic architecture for limber pine quantitative disease resistance to white pine blister rust DOI
Jun‐Jun Liu, Richard A. Sniezko,

Sydney Houston

et al.

Phytopathology, Journal Year: 2024, Volume and Issue: 114(7), P. 1626 - 1636

Published: March 15, 2024

Development of durable resistance effective against a broad range pathotypes is crucial for restoration pathogen-damaged ecosystems. This study dissected the complex genetic architecture limber pine quantitative disease (QDR) to

Language: Английский

Citations

2

Overexpression of SQUALENE SYNTHASE Reduces Nicotiana benthamiana Resistance against Phytophthora infestans DOI Creative Commons
Ke-Ke Fu, Junhao Liang, Wei Wan

et al.

Metabolites, Journal Year: 2023, Volume and Issue: 13(2), P. 261 - 261

Published: Feb. 11, 2023

Plant triterpenoids play a critical role in plant resistance against Phytophthora infestans de Bary, the causal pathogen of potato and tomato late blight. However, different could have contrasting functions on P. infestans. In this study, we targeted key biosynthetic gene all triterpenoids, SQUALENE SYNTHASE (SQS), to examine function plant-P. interactions. A post-inoculation, time-course expression analysis revealed that SQS was induced Nicotiana benthamiana but transiently suppressed Solanum lycopersicum. Consistent with host-specific changes expression, concentrations major triterpenoid compounds were only S. stable overexpression N. reduced hyperaccumulation stigmasterol. comparative transcriptomics transgenic lines showed diverse physiological processes influenced by overexpression, suggesting phytosterol content regulation may not be sole mechanism through which promotes susceptibility towards This study provides experimental evidence for transcriptional interactions infestans, offering novel perspective examining quantitative disease

Language: Английский

Citations

5

Comparative transcriptomics of soybean genotypes with partial resistance towards Phytophthora sojae, Conrad, and M92-220, to moderately susceptible fast neutron mutant soybeans and Sloan DOI
Nghi Song Nguyen, Jelmer W. Poelstra, Robert M. Stupar

et al.

Phytopathology, Journal Year: 2024, Volume and Issue: 114(8), P. 1851 - 1868

Published: Aug. 1, 2024

The breeding of disease-resistant soybeans cultivars to manage Phytophthora root and stem rot caused by the pathogen

Language: Английский

Citations

1

Capitalizing genebank core collections for rare and novel disease resistance loci to enhance barley resilience DOI Creative Commons
Zhihui Yuan, Maximilian Rembe, Martin Mascher

et al.

Journal of Experimental Botany, Journal Year: 2024, Volume and Issue: 75(18), P. 5940 - 5954

Published: June 27, 2024

In the realm of agricultural sustainability, utilization plant genetic resources for enhanced disease resistance is paramount. Preservation efforts in genebanks are justified by their potential contributions to future crop improvement. To capitalize on resources, we focused a barley core collection from German ex situ genebank and contrasted it with European elite collection. The phenotypic assessment included 812 298 elites, particular emphasis four traits (Puccinia hordei, Blumeria graminis Ramularia collo-cygni, Rhynchosporium commune). An integrated genome-wide association study, employing both Bayesian-information linkage-disequilibrium iteratively nested keyway (BLINK) linear mixed model, was performed unravel underpinnings resistance. A total 932 marker-trait associations were identified assigned 49 quantitative trait loci. accumulation novel rare alleles significantly bolstered overall level resources. Three donors high counts novel/rare exhibiting exceptional leaf rust powdery mildew identified, offering promise targeted pre-breeding goals resilience varieties. Our findings underscore critical contribution strengthening advancing sustainable practices.

Language: Английский

Citations

1

Prediction of resistance, virulence, and host-by-pathogen interactions using dual-genome prediction models DOI Creative Commons
Owen Hudson, Márcio F. R. Resende, Carlos D. Messina

et al.

Theoretical and Applied Genetics, Journal Year: 2024, Volume and Issue: 137(8)

Published: Aug. 1, 2024

Integrating disease screening data and genomic for host pathogen populations into prediction models provides breeders pathologists with a unified framework to develop resistance. Developing resistance in crops typically consists of exposing breeding virulent strain the that is causing disease. While including diverse set pathogens experiments would be desirable developing broad durable resistance, it logistically complex uncommon, limits our capacity implement dual (host-by-pathogen)-genome models. Data from an alternative system challenges sweet corn population isolates are provided demonstrate changes genetic parameter estimates result using provide connectivity across sparsely tested experimental treatments. An inflation variance was observed when among isolate relatedness were included models, which moderated host-by-pathogen interaction effects incorporated The complete model similarity matrices host, pathogen, indicated proportion phenotypic variation lesion size attributable similar. Estimates stability predictions varieties inoculated different used inoculate hosts also In this pathosystem, indicate may identify crop resistant specific virulence mechanisms guide deployment these sources where they will more effective.

Language: Английский

Citations

1