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In Silico Genome-Wide Characterisation of the Lipid Transfer Protein Multigenic Family in Sunflower (

Authors :
Alberto Vangelisti
Samuel Simoni
Gabriele Usai
Flavia Mascagni
Maria Ventimiglia
Lucia Natali
Andrea Cavallini
Tommaso Giordani
Source :
Plants; Volume 11; Issue 5; Pages: 664
Publication Year :
2022

Abstract

The sunflower (Helianthus annuus L.) is among the most widely cultivated crops in the world due to the oilseed production. Lipid transfer proteins (LTPs) are low molecular mass proteins encoded by a broad multigenic family in higher plants, showing a vast range of functions; these proteins have not been characterised in sunflower at the genomic level. In this work, we exploited the reliable genome sequence of sunflower to identify and characterise the LTP multigenic family in H. annuus. Overall, 101 sunflower putative LTP genes were identified using a homology search and the HMM algorithm. The selected sequences were characterised through phylogenetic analysis, exon–intron organisation, and protein structural motifs. Sunflower LTPs were subdivided into four clades, reflecting their genomic and structural organisation. This gene family was further investigated by analysing the possible duplication origin of genes, which showed the prevalence of tandem and whole genome duplication events, a result that is in line with polyploidisation events that occurred during sunflower genome evolution. Furthermore, LTP gene expression was evaluated on cDNA libraries constructed on six sunflower tissues (leaf, root, ligule, seed, stamen, and pistil) and from roots treated with stimuli mimicking biotic and abiotic stress. Genes encoding LTPs belonging to three out of four clades responded specifically to external stimuli, especially to abscisic acid, auxin, and the saline environment. Interestingly, genes encoding proteins belonging to one clade were expressed exclusively in sunflower seeds. This work is a first attempt of genome-wide identification and characterisation of the LTP multigenic family in a plant species.

Details

ISSN :
22237747
Volume :
11
Issue :
5
Database :
OpenAIRE
Journal :
Plants (Basel, Switzerland)
Accession number :
edsair.doi.dedup.....4251d2765aeeb39ddeadaec2b08e0d21