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Liang X, Dong J. Comparative-genomic analysis reveals dynamic NLR gene loss and gain across Apiaceae species. Front Genet 2023; 14:1141194. [PMID: 36936422 PMCID: PMC10017999 DOI: 10.3389/fgene.2023.1141194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction: Nucleotide-binding leucine-rich repeat (NLR) genes play a crucial role in green plants' responding to various pathogens. Genome-scale evolutionary studies of NLR genes are important for discovering and applying functional NLR genes. However, little is known about the evolution of NLR genes in the Apiaceae family including agricultural and medical plants. Methods: In this study, comparative genomic analysis was performed in four Apiaceae species to trace the dynamic evolutionary patterns of NLR genes during speciation in this family. Results: The results revealed different number of NLR genes in these four Apiaceae species, namely, Angelica sinensis (95), Coriandrum sativum (183), Apium graveolens (153) and Daucus carota (149). Phylogenetic analysis demonstrated that NLR genes in these four species were derived from 183 ancestral NLR lineages and experienced different levels of gene-loss and gain events. The contraction pattern of the ancestral NLR lineages was discovered during the evolution of D. carota, whereas a different pattern of contraction after first expansion of NLR genes was observed for A. sinensis, C. sativum and A. graveolens. Discussion: Taken together, rapid and dynamic gene content variation has shaped evolutionary history of NLR genes in Apiaceae species.
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Álvarez-López D, Herrera-Valencia VA, Góngora-Castillo E, García-Laynes S, Puch-Hau C, López-Ochoa LA, Lizama-Uc G, Peraza-Echeverria S. Genome-Wide Analysis of the LRR-RLP Gene Family in a Wild Banana ( Musa acuminata ssp. malaccensis) Uncovers Multiple Fusarium Wilt Resistance Gene Candidates. Genes (Basel) 2022; 13:638. [PMID: 35456444 PMCID: PMC9025879 DOI: 10.3390/genes13040638] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 02/04/2023] Open
Abstract
Banana is the most popular fruit in the world, with a relevant role in food security for more than 400 million people. However, fungal diseases cause substantial losses every year. A better understanding of the banana immune system should facilitate the development of new disease-resistant cultivars. In this study, we performed a genome-wide analysis of the leucine-rich repeat receptor-like protein (LRR-RLP) disease resistance gene family in a wild banana. We identified 78 LRR-RLP genes in the banana genome. Remarkably, seven MaLRR-RLPs formed a gene cluster in the distal part of chromosome 10, where resistance to Fusarium wilt caused by Foc race 1 has been previously mapped. Hence, we proposed these seven MaLRR-RLPs as resistance gene candidates (RGCs) for Fusarium wilt. We also identified seven other banana RGCs based on their close phylogenetic relationships with known LRR-RLP proteins. Moreover, phylogenetic analysis of the banana, rice, and Arabidopsis LRR-RLP families revealed five major phylogenetic clades shared by these plant species. Finally, transcriptomic analysis of the MaLRR-RLP gene family in plants treated with Foc race 1 or Foc TR4 showed the expression of several members of this family, and some of them were upregulated in response to these Foc races. Our study provides novel insights into the structure, distribution, evolution, and expression of the LRR-RLP gene family in bananas as well as valuable RGCs that will facilitate the identification of disease resistance genes for the genetic improvement of this crop.
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Affiliation(s)
- Dulce Álvarez-López
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico; (D.Á.-L.); (V.A.H.-V.); (S.G.-L.)
| | - Virginia Aurora Herrera-Valencia
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico; (D.Á.-L.); (V.A.H.-V.); (S.G.-L.)
| | - Elsa Góngora-Castillo
- CONACYT-Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico;
| | - Sergio García-Laynes
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico; (D.Á.-L.); (V.A.H.-V.); (S.G.-L.)
| | - Carlos Puch-Hau
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Departamento de Recursos del Mar, Unidad Mérida, Km. 6, Antigua Carretera a Progreso, Apdo. Postal 73-Cordemex, Mérida 97310, Yucatán, Mexico;
| | - Luisa Alhucema López-Ochoa
- Unidad de Bioquímica y Biología Molecular de Plantas, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico;
| | - Gabriel Lizama-Uc
- Tecnológico Nacional de México/Instituto Tecnológico de Mérida, Av. Tecnológico km. 4.5, Mérida 97118, Yucatán, Mexico;
| | - Santy Peraza-Echeverria
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Calle 43 No. 130, Colonia Chuburná de Hidalgo, Mérida 97200, Yucatán, Mexico; (D.Á.-L.); (V.A.H.-V.); (S.G.-L.)
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