Bioinformatics analysis of Aux/IAA gene family in maize

Abstract

Aux/IAA gene family is a kind of transcription factors in plants, which plays a regulatory role in the process of auxin regulating plant growth. In this study, the structural characteristics and gene expression patterns of Aux/IAA transcription factors in maize (Zea mays L.) were analyzed by bioinformatics method, and 32 Aux/IAA genes from Arabidopsis and 40 Aux/IAA genes from maize were screened for phylogenetic evolution. It was inferred that the gene family was an ancient and huge gene family by evolutionary tree. The numbers of Aux/IAA genes distributed on chromosome 3 and 6 are the largest. Subcellular localization prediction indicated that the gene family mainly played a role in the nucleus. Thermogram analysis showed that a small number of genes were highly expressed in specific tissues. In addition, GRMZM2G115357 was highly expressed under the condition of high osmotic pressure, which might play a role in the process of resistance to high osmotic stress in maize. The results of this study promote the understanding of Aux/IAA family genes and lay a foundation for the functional study of Aux/IAA family genes at the molecular level.

Agriculture, biology, and environment: Twenty first century challenges and opportunities

“…Higher and effective remediation efficiency and economic benefit is possible in the ramie and P. vittata intercropping system compared to monoculture planting. Jiang, Li et al (2020) analyzed the structural characteristics and gene expression patterns of Aux/IAA genes in maize via bioinformatics method. In addition to other properties of gene expressions, results show that a small number of genes were highly expressed in specific tissues.…”

“…On the other hand, P. vittata monoculture had the highest As extraction with an efficiency of 0.2765%. Higher and effective remediation efficiency and economic benefit is possible in the ramie and P. vittata intercropping system compared to monoculture planting Jiang, Li et al (2020). analyzed the structural characteristics and gene expression patterns of Aux/IAA genes in maize via bioinformatics method.…”

Translating genomic studies into agronomic applications: Where do we stand?

“…This is especially true for crop species, such as Castor bean (Ricinus communis L.), sweet orange (Citrus sinensis L.), maize (Zea mays L.), rice (Oryza sativa L.), barley (Hordeum vulgare L.), and soybean [Glycine max (L.) Merr.] (Brito et al, 2020;Jiang et al, 2021;Khan et al, 2021;Neto et al, 2020;Peng et al, 2019;Tripathi et al, 2021;H. Zhang et al, 2019).…”

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To the Editor, This Letter to the Editor aims to facilitate discussion of the strength and powerfulness of bioinformatics tools to pinpoint potential candidate genes for further genomics studies that would provide answers for real-life agronomic problems of crop species. I recently came across the paper by Jiang et al (2021) in which the authors used a bioinformatics approach to characterize the Aux/IAA gene family in maize. Similar bioinformatics approaches have been also used by B. Wang et al (2021) and by L. Zhang et al (2021) in papers recently published by Agronomy Journal.

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“…However, this claim would have been better supported if the authors used a greater number of mono-and dicotyledons in the construction of the evolutionary tree. The gene GRMZM2G115357 was pointed out as a major player in the acquisition of tolerance to osmotic stress in maize (Jiang et al, 2021). Although this is an important lead, the argument that this gene was highly expressed under high osmotic pressure conditions might not be sufficient enough to support this claim.…”