Proteomic Analysis of Maize Cultivars Tolerant to Drought Stress
Mariana Cabral Pinto,
Odair Honorato de Oliveira,
Maria Beatriz Araújo de Oliveira,
Cleiton Ribeiro da Silva,
Marcela Portela Santos de Figueiredo,
Rômulo Gil de Luna,
Anielson dos Santos Souza,
Lauter Silva Souto,
Ancélio Ricardo de Oliveira Godim,
Rodolfo Rodrigo de Almeida Lacerda,
Andréa Chaves Fiuza Porto,
Frank Gomes-Silva,
Josimar Mendes de Vasconcelos,
Guilherme Rocha Moreira,
Maria Lindomárcia Leonardo da Costa,
Mércia Regina Pereira de Figueiredo,
Fabiana Aparecida Cavalcante Silva,
Francisco Cássio Gomes Alvino,
Amaro Epifânio Pereira Silva,
Leonardo de Sousa Alves,
Diogo Gonçalves Neder,
Bianca Galúcio Pereira Araújo,
Lucas Carvalho de Freitas,
Tercilio Calsa Junior,
João de Andrade Dutra Filho
Affiliations
Mariana Cabral Pinto
BP Bunge Bioenergia, Highway BR 364, Km 18, Frutal 38200-000, Brazil
Odair Honorato de Oliveira
Adecoagro, Highway BR 141, Km 10, Ivinhema 79740-000, Brazil
Maria Beatriz Araújo de Oliveira
Vitória Academic Center, Federal University of Pernambuco, Recife 50670-901, Brazil
Cleiton Ribeiro da Silva
Graduate Program in Biotechnology, Federal University of Pernambuco, Recife 50670-901, Brazil
Marcela Portela Santos de Figueiredo
Graduate Program in Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Recife 54735-000, Brazil
Rômulo Gil de Luna
Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil
Anielson dos Santos Souza
Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil
Lauter Silva Souto
Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil
Ancélio Ricardo de Oliveira Godim
Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil
Rodolfo Rodrigo de Almeida Lacerda
Agri-Food Science and Technology Center, Federal University of Campina Grande, Pombal 58840-000, Brazil
Andréa Chaves Fiuza Porto
Dom Agostinho Ikas Agricultural College, Federal Rural University of Pernambuco, São Lourenço da Mata 54735-000, Brazil
Frank Gomes-Silva
Department of Statistics and Informatics, Federal Rural University of Pernambuco, Recife 52171-900, Brazil
Josimar Mendes de Vasconcelos
Department of Statistics and Informatics, Federal Rural University of Pernambuco, Recife 52171-900, Brazil
Guilherme Rocha Moreira
Department of Statistics and Informatics, Federal Rural University of Pernambuco, Recife 52171-900, Brazil
Maria Lindomárcia Leonardo da Costa
Animal Science Department, Federal University of Paraiba, 12 Rodovia, PB-079, Areia 58397-000, Brazil
Mércia Regina Pereira de Figueiredo
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
Fabiana Aparecida Cavalcante Silva
Phytosanitary Diagnosis and Fidelity Genetic Laboratory, Northeast Strategic Technologies Center, Avenida Professor Luís Freire, Cidade Universitária, Recife 50740-545, Brazil
Francisco Cássio Gomes Alvino
Department of Agricultural Engineering, Federal University of Viçosa, Viçosa 36570-900, Brazil
Amaro Epifânio Pereira Silva
Carpina Sugarcane Experimental Station, Federal Rural University of Permambuco, Rua Ângela Cristina Canto Pessoa de Luna, s/n, Carpina 55810-700, Brazil
Leonardo de Sousa Alves
Department of Plant Sciences, Federal Rural University of the Semiarid, Mossoró 59625-900, Brazil
Diogo Gonçalves Neder
Department of Agroecology, Agriculture Center for Agricultural and Environmental Sciences Campina Grande State, University, Sítio Imbaúba, sn, Zona Rural, Lagoa Seca 58429-500, Brazil
Bianca Galúcio Pereira Araújo
Northeast Strategic Technologies Center, Avenida Professor Luís Freire, Cidade Universitária, Recife 50740-545, Brazil
Lucas Carvalho de Freitas
Graduate Program Genetics, Federal University of Pernambuco, Recife 50670-901, Brazil
Tercilio Calsa Junior
Department of Genetics, Biosciences Center, Federal University of Pernambuco, Recife 50670-901, Brazil
João de Andrade Dutra Filho
Biological Science Nucleus, Vitoria Academic Center, Federal University of Pernambuco, Vitória de Santo Antão 55608-680, Brazil
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.