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油棕(Jacq.)对非生物胁迫响应的多组学整合(MOI)研究见解:第一部分——盐胁迫

Insights from a Multi-Omics Integration (MOI) Study in Oil Palm ( Jacq.) Response to Abiotic Stresses: Part One-Salinity.

作者信息

Bittencourt Cleiton Barroso, Carvalho da Silva Thalliton Luiz, Rodrigues Neto Jorge Cândido, Vieira Letícia Rios, Leão André Pereira, de Aquino Ribeiro José Antônio, Abdelnur Patrícia Verardi, de Sousa Carlos Antônio Ferreira, Souza Manoel Teixeira

机构信息

Graduate Program of Plant Biotechnology, Federal University of Lavras, Lavras 37200-000, Brazil.

Embrapa Agroenergia, Brasília 70770-901, Brazil.

出版信息

Plants (Basel). 2022 Jun 30;11(13):1755. doi: 10.3390/plants11131755.

Abstract

Oil palm ( Jacq.) is the number one source of consumed vegetable oil nowadays. It is cultivated in areas of tropical rainforest, where it meets its natural condition of high rainfall throughout the year. The palm oil industry faces criticism due to a series of practices that was considered not environmentally sustainable, and it finds itself under pressure to adopt new and innovative procedures to reverse this negative public perception. Cultivating this oilseed crop outside the rainforest zone is only possible using artificial irrigation. Close to 30% of the world's irrigated agricultural lands also face problems due to salinity stress. Consequently, the research community must consider drought and salinity together when studying to empower breeding programs in order to develop superior genotypes adapted to those potential new areas for oil palm cultivation. Multi-Omics Integration (MOI) offers a new window of opportunity for the non-trivial challenge of unraveling the mechanisms behind multigenic traits, such as drought and salinity tolerance. The current study carried out a comprehensive, large-scale, single-omics analysis (SOA), and MOI study on the leaves of young oil palm plants submitted to very high salinity stress. Taken together, a total of 1239 proteins were positively regulated, and 1660 were negatively regulated in transcriptomics and proteomics analyses. Meanwhile, the metabolomics analysis revealed 37 metabolites that were upregulated and 92 that were downregulated. After performing SOA, 436 differentially expressed (DE) full-length transcripts, 74 DE proteins, and 19 DE metabolites underwent MOI analysis, revealing several pathways affected by this stress, with at least one DE molecule in all three omics platforms used. The Cysteine and methionine metabolism (map00270) and Glycolysis/Gluconeogenesis (map00010) pathways were the most affected ones, each one with 20 DE molecules.

摘要

油棕(Elaeis guineensis Jacq.)是目前消费植物油的首要来源。它种植于热带雨林地区,全年降雨充沛,符合其生长的自然条件。由于一系列被认为不利于环境可持续发展的做法,棕榈油产业面临批评,因此不得不承受压力,采用新的创新程序来扭转这种负面的公众认知。只有通过人工灌溉,才有可能在雨林区以外种植这种油料作物。世界上近30%的灌溉农田也因盐分胁迫而面临问题。因此,研究界在开展研究以推动育种计划时,必须综合考虑干旱和盐分问题,从而培育出适应油棕种植新潜在区域的优良基因型。多组学整合(MOI)为破解多基因性状(如耐旱性和耐盐性)背后的机制这一重大挑战提供了新的契机。本研究对遭受极高盐分胁迫的幼年油棕植株的叶片进行了全面、大规模的单组学分析(SOA)和多组学整合研究。综合来看,在转录组学和蛋白质组学分析中,共有1239种蛋白质被正向调控,1660种被负向调控。同时,代谢组学分析显示有37种代谢物上调,92种下调。在进行单组学分析后,对436个差异表达(DE)的全长转录本、74个差异表达蛋白质和19个差异表达代谢物进行了多组学整合分析,揭示了受这种胁迫影响的几条途径,在所有使用的三个组学平台中至少有一个差异表达分子。半胱氨酸和甲硫氨酸代谢(map00270)途径和糖酵解/糖异生(map00010)途径受影响最大,每个途径都有20个差异表达分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7038/9269341/fcde6a4612c5/plants-11-01755-g001.jpg

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