Evidence map›Paper›PMID 31722670›Full record

ArticleBMC genomics2019

Evolutionary balance between LRR domain loss and young NBS-LRR genes production governs disease resistance in Arachis hypogaea cv. Tifrunner.

Hui Song, Zhonglong Guo, Xiaohui Hu, Lang Qian, Fuhong Miao, Xiaojun Zhang, Jing Chen

Abstract read
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Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  10. The fate of drought-related genes after polyploidization inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  11. Article
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  13. Identification and Characterization ofFrontiers in plant science · 2021
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hui SongGrassland Agri-husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China. biosonghui@outlook.com.ORCID http://orcid.org/0000-0002-2455-0942
Zhonglong GuoState Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing, China.
Xiaohui HuShandong Peanut Research Institute, Qingdao, China.
Lang QianDalian Academy of Agricultural Sciences, Dalian, China.
Fuhong MiaoGrassland Agri-husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China.
Xiaojun ZhangCollege of Agronomy, Qingdao Agricultural University, Qingdao, China.
Jing ChenShandong Peanut Research Institute, Qingdao, China. mianbaohua2008@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCultivated peanut (Arachis hypogaea L.) is an important oil and protein crop, but it has low disease resistance; therefore, it is important to reveal the number, sequence features, function, and evolution of genes that confer resistance. Nucleotide-binding site-leucine-rich repeats (NBS-LRRs) are resistance genes that are involved in response to various pathogens.

resultsWe identified 713 full-length NBS-LRRs in A. hypogaea cv. Tifrunner. Genetic exchange events occurred on NBS-LRRs in A. hypogaea cv. Tifrunner, which were detected in the same subgenomes and also found in different subgenomes. Relaxed selection acted on NBS-LRR proteins and LRR domains in A. hypogaea cv. Tifrunner. Using quantitative trait loci (QTL), we found that NBS-LRRs were involved in response to late leaf spot, tomato spotted wilt virus, and bacterial wilt in A. duranensis (2 NBS-LRRs), A. ipaensis (39 NBS-LRRs), and A. hypogaea cv. Tifrunner (113 NBS-LRRs). In A. hypogaea cv. Tifrunner, 113 NBS-LRRs were classified as 75 young and 38 old NBS-LRRs, indicating that young NBS-LRRs were involved in response to disease after tetraploidization. However, compared to A. duranensis and A. ipaensis, fewer LRR domains were found in A. hypogaea cv. Tifrunner NBS-LRR proteins, partly explaining the lower disease resistance of the cultivated peanut.

conclusionsAlthough relaxed selection acted on NBS-LRR proteins and LRR domains, LRR domains were preferentially lost in A. hypogaea cv. Tifrunner compared to A. duranensis and A. ipaensis. The QTL results suggested that young NBS-LRRs were important for resistance against diseases in A. hypogaea cv. Tifrunner. Our results provid insight into the greater susceptibility of A. hypogaea cv. Tifrunner to disease compared to A. duranensis and A. ipaensis.

Indexed as

Evolution, MolecularArachisDisease ResistanceGenes, PlantMultigene FamilyNLR ProteinsPlant ProteinsQuantitative Trait LociNLR ProteinsPlant ProteinsArachis hypogaea cv. TifrunnerGenetic exchangeNBS–LRRSelective pressureYoung gene

Identifiers

PMID31722670
PMCPMC6852974

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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.