トウモロコシのゲノムが複数の病原体を同時に攻撃できることを発見(New study finds corn genome can gang up on multiple pathogens at once)

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2024-02-07 イリノイ大学アーバナ・シャンペーン校

イリノイ大学アーバナ・シャンペーン校の研究者たちが、トウモロコシの病気に対する複数の抵抗性を持つ品種を開発することに大きく前進した。彼らの研究では、Goss’s wiltなどのバクテリア性病気と、灰色斑点、北部トウモロコシ葉枯病、南部トウモロコシ葉枯病などの真菌性病気に対する抵抗性が関連するゲノム領域が特定された。これにより、複数の病気に耐性を持つトウモロコシ品種の開発が促進される可能性がある。

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トウモロコシの4つの葉面病に対する抵抗性遺伝子座の同定 Identification of loci conferring resistance to 4 foliar diseases of maize

Yuting Qiu, Pragya Adhikari, Peter Balint-Kurti, Tiffany Jamann
G3 Genes|Genomes|Genetics  Published:05 December 2023
DOI:https://doi.org/10.1093/g3journal/jkad275

Phenotypic distribution of GW in the 3 populations. For the DRIL58 and DRIL68 populations, combined environment LsMeans estimations for AUDPC of the GW data are presented. For the DRIL38 population, there was only 1 rating in 2018 and no AUDPC calculated. Thus, the DRIL38 2018 estimation distribution was not combined with the DRIL38 2019 estimation, which was based on the AUDPC calculated using 3 ratings. The solid line indicates the LsMean of the common recurrent parent Oh7B and the dashed lines indicate the LsMeans of the donor parents, which is different for each population. The donor line for DRIL38 population is Ki3; for DRIL58 population is NC262 and for DRIL68 population is NC304.

Abstract

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

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