Evidence map›Paper›PMID 39725902›Full record

ArticleBMC plant biology2024

Nei 6 You 7075, a hybrid rice cultivar, exhibits enhanced disease resistance and drought tolerance traits.

Lili Cui, Yu Song, Yongchao Zhao, Rongrong Gao, Yingheng Wang, Qiang Lin, Jiahuan Jiang, Hongguang Xie, Qiuhua Cai, Yongsheng Zhu and 2 more

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Cloning and Functional Analysis of thePlants (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lili CuiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Yu SongRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Yongchao ZhaoRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Rongrong GaoRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Yingheng WangRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Qiang LinRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Jiahuan JiangRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Hongguang XieRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Qiuhua CaiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Yongsheng ZhuRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Huaan XieRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Jianfu ZhangRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China. jianfzhang@163.com.

Funding

Key Program of Science and Technology in Fujian province, China 2020NZ08016the "5511" Collaborative Innovation Project for High-quality Development and Surpasses of Agriculture between the Government of Fujian and Chinese Academy of Agricultural Sciences XTCXGC2021001the Free Exploration of Scientific and Technological Innovation Project at Fujian Academy of Agricultural Sciences of China ZYTS202203the National Natural Science Foundation of China 32201733the National Rice Industry Technology System of Modern Agriculture for China CARS-01-20the Natural Science Basic Research in Fujian Province of China 2022J01453
6 · The paper itself

Abstract

backgroundRice is the main food crop for much of the population in China. Therefore, selecting and breeding new disease resistance and drought tolerance in rice is essential to ensure national food security. The utilization of heterosis has significantly enhanced rice productivity, yet many of the molecular mechanisms underlying this phenomenon remain largely unexplored. 'Nei 6 You 7075' ('N6Y7075') is a novel hybrid rice cultivar with exceptional quality, developed through the crossbreeding of 'Fuhui 7075' ('FH7075') and 'Neixiang 6 A' ('NX6A'). However, the precise mechanisms underlying the disease resistance and drought tolerance in 'N6Y7075' are poorly understood. In this study, we investigated the resistance of hybrid rice 'N6Y7075' to bacterial blight (Xanthomonas oryzae pv. oryzae), rice blast (Magnaporthe oryzae), and drought and identified differentially expressed genes between hybrid rice 'N6Y7075' and its parents through RNA-seq analysis.

resultsOur research found that the hybrid 'N6Y7075' and its female parent 'NX6A' were less susceptible to bacterial blight and rice blast than the male parent 'FH7075', while 'FH7075' showed better drought tolerance than 'NX6A'. The hybrid 'N6Y7075' exhibited heterosis. Clustering results revealed that the expression profiles of the F1 hybrid closely resembled those of its parental lines rather than exhibiting an intermediate profile between the two parental lines. The disease resistance of hybrid rice 'N6Y7075' may be attributed to the plant-pathogen interaction pathways involving Xa21, CDPK, and RPM1-mediated hypersensitive response and WRKY1-induced defense-related gene expression and programmed cell death. The MAPK signaling pathway PR1 could also be associated with plant defense responses. Hybrid rice 'N6Y7075' may enhance drought tolerance by regulating MAPKKK17 and WAK60 in the MAPK signaling pathway. These proteins affect ABA stress adaptation and stomatal development in plants, respectively.

conclusionsOur results provide a preliminary exploration of 'N6Y7075' disease resistance and drought tolerance and provide a relevant theoretical basis for its further study and use. This study provides insights into the molecular mechanisms of heterosis in hybrid rice and identifies potential associated genes.

Indexed as

Disease ResistanceDroughtsOryzaPlant DiseasesXanthomonasAscomycotaDrought ResistanceGene Expression Regulation, PlantHybridization, GeneticHybrid VigorBacterial blightDrought toleranceHeterosisHybrid riceRice blastTranscriptome

Identifiers

PMID39725902
PMCPMC11670435

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.