Proteomic Analysis of Maize Cultivars Tolerant to Drought Stress

Author:

Pinto Mariana Cabral1,de Oliveira Odair Honorato2ORCID,de Oliveira Maria Beatriz Araújo3,da Silva Cleiton Ribeiro4,de Figueiredo Marcela Portela Santos5,de Luna Rômulo Gil6,Souza Anielson dos Santos6,Souto Lauter Silva6,de Oliveira Godim Ancélio Ricardo6,de Almeida Lacerda Rodolfo Rodrigo6,Porto Andréa Chaves Fiuza7,Gomes-Silva Frank8,Vasconcelos Josimar Mendes de8,Moreira Guilherme Rocha8,Costa Maria Lindomárcia Leonardo da9,Pereira de Figueiredo Mércia Regina10,Silva Fabiana Aparecida Cavalcante11ORCID,Alvino Francisco Cássio Gomes12,Silva Amaro Epifânio Pereira13,Alves Leonardo de Sousa14,Neder Diogo Gonçalves15,Araújo Bianca Galúcio Pereira16,Freitas Lucas Carvalho de17,Calsa Junior Tercilio18ORCID,Dutra Filho João de Andrade19ORCID

Affiliation:

1. BP Bunge Bioenergia, Highway BR 364, Km 18, Frutal 38200-000, Brazil

2. Adecoagro, Highway BR 141, Km 10, Ivinhema 79740-000, Brazil

3. Vitória Academic Center, Federal University of Pernambuco, Recife 50670-901, Brazil

4. Graduate Program in Biotechnology, Federal University of Pernambuco, Recife 50670-901, Brazil

5. Graduate Program in Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Recife 54735-000, Brazil

6. Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil

7. Dom Agostinho Ikas Agricultural College, Federal Rural University of Pernambuco, São Lourenço da Mata 54735-000, Brazil

8. Department of Statistics and Informatics, Federal Rural University of Pernambuco, Recife 52171-900, Brazil

9. Animal Science Department, Federal University of Paraiba, 12 Rodovia, PB-079, Areia 58397-000, Brazil

10. Regional Center for Rural Development Center North, Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural, Rodovia, BR 101 Norte, Km 151, Linhares 29915-140, Brazil

11. Phytosanitary Diagnosis and Fidelity Genetic Laboratory, Northeast Strategic Technologies Center, Avenida Professor Luís Freire, Cidade Universitária, Recife 50740-545, Brazil

12. Department of Agricultural Engineering, Federal University of Viçosa, Viçosa 36570-900, Brazil

13. Carpina Sugarcane Experimental Station, Federal Rural University of Permambuco, Rua Ângela Cristina Canto Pessoa de Luna, s/n, Carpina 55810-700, Brazil

14. Department of Plant Sciences, Federal Rural University of the Semiarid, Mossoró 59625-900, Brazil

15. Department of Agroecology, Agriculture Center for Agricultural and Environmental Sciences Campina Grande State, University, Sítio Imbaúba, sn, Zona Rural, Lagoa Seca 58429-500, Brazil

16. Northeast Strategic Technologies Center, Avenida Professor Luís Freire, Cidade Universitária, Recife 50740-545, Brazil

17. Graduate Program Genetics, Federal University of Pernambuco, Recife 50670-901, Brazil

18. Department of Genetics, Biosciences Center, Federal University of Pernambuco, Recife 50670-901, Brazil

19. Biological Science Nucleus, Vitoria Academic Center, Federal University of Pernambuco, Vitória de Santo Antão 55608-680, Brazil

Abstract

Maize is a crop of significant economic importance. In the northeast region of Brazil, it serves as the foundation of family support for the majority of farmers. However, achieving high levels of productivity requires an adequate water supply throughout its growth cycle. The northeast semi-arid region experiences low rainfall and high potential evapotranspiration, directly affecting maize development and leading to severe declines in productivity. In this study, genetic selection and proteomic analysis are proposed as a strategy to identify the tolerance of maize cultivars against water stress. The experiments were conducted under two water regimes using randomized block designs with three replicates. Development and productivity traits were evaluated, and genetic parameters were estimated using mixed linear models. Selection for water stress tolerance was based on the harmonic mean of the relative performance of genotypic values. Total protein extraction from maize leaves followed the protocol established by the phenol method, and peptides were analyzed through mass spectrometry. The AG8677P cultivar demonstrated remarkable productivity under drought stress conditions, and proteins related to various fundamentally important biological processes for the tolerance mechanism were identified. The combination of genetic selection with proteomic analysis proves to be an efficient strategy, even in the face of limited resources and a small number of treatments.

Publisher

MDPI AG

Subject

Agronomy and Crop Science

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