Evolution and Expression Divergence of E2 Gene Family under Multiple Abiotic and Phytohormones Stresses in Brassica rapa

et al. 2020

Genes

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The plant-specific IQ67-domain (IQD) protein family members are downstream targets of calcium sensors, known to regulate plant growth and lateral organ polarity, and basal defense response against environmental cues. No systematic study of IQD gene family has been performed on grapevine. The public availability of grapevine genome enables us to perform identification, phylogeny, chromosomal orientation, and gene structure analysis of the IQD genes in grapevine. We identified 49 VvIQD genes (VvIQD1–VvIQD49) and further classified them into eight subgroups based on phylogenetic relationships. The 49 VvIQD genes were assigned to 19 different chromosomal positions. The collinear relationship between grapevine and Arabidopsis IQDs (VvIQD and AtIQD), and within grapevine VvIQDs, was highly conserved. In addition, most of duplicated gene pairs showed Ka/Ks ratio less than 1.00, indicating purifying selection within these gene pairs, implying functional discrepancy after duplication. Transcription profiling of VvIQD genes shed light on their specific role in grapevine tissue and organ development. The qRT-PCR validation of the 49 VvIQD genes in grape berry tissue from cultivars with distinct berry shape during developmental phases suggested candidate genes involved in the shape of grape berries. The subcellular prediction of VvIQD22, VvIQD23, VvIQD38, and VvIQD49 genes validated their localization in the nucleus and plasma membrane. The VvIQD49 protein interaction with VvCaM2 was also verified by bimolecular fluorescence complementation (BiFC) analysis in the plasma membrane. Our findings will be valuable for the functional genomic studies for desirable shape development of grape berries.

Section: Rna Isolation and Expression Profiling Of V Vinifera Fruitsmentioning

confidence: 99%

Comprehensive Sequence Analysis of IQD Gene Family and their Expression Profiling in Grapevine (Vitis vinifera)

Liu

Haider

et al. 2020

Genes

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“…The gene-specific primers (Supplementary Table S6) was designed by the help of Becan Designer 7.9 and their specificity was confirmed using the BLAST tool against the grapevine genome. Also, we performed the RT-PCR by following the previously reported studies [52,53], and the relative fold expression was calculated using the comparative Ct-method. The expression patterns of all POD gene were analyzed based on a previous study [38,54], and for reference gene in qRT-PCR, we used the housekeeping actin gene (AB073011).…”

Section: Rna Isolation and Transcriptional Profiling Of Pod Gene Famimentioning

confidence: 99%

Genome-wide Identification of the Class III POD Gene Family and their Expression Profiling in Grapevine (Vitisvinifera L)

Xiao

Wang

et al. 2020

Preprint

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Abstract Background : The class III peroxidases (PODs) are involved in a broad range of physiological activities, such as the formation of lignin, cell wall components, defense against pathogenicity or herbivore, and abiotic stress tolerance. The POD family members have been well-studied and characterized by bioinformatics analysis in several plant species, but no previous genome-wide analysis has been carried out of this gene family in grapevine to date. Results : We comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and gene structure organization analysis revealed that PODs in the same subgroup shared similar conjunction while the protein sequences were highly conserved. Intriguingly, the integrated analysis of chromosomal mapping and gene collinearity analysis proposed that both dispersed and tandem duplication events contributed to the expansion of PODs in grapevine. Also, the gene duplication analysis suggested that most of the genes (20) were dispersed followed by (15) tandem, (9) segmental or whole-genome duplication, and (3) proximal, respectively. The evolutionary analysis of PODs, such as Ka/Ks ratio of the 15 duplicated gene pairs were less than 1.00, indicated that most of the gene pairs exhibiting purifying selection and 7 pairs underwent positive selection with value greater than 1.00. The Gene Ontology Enrichment (GO), Kyoto Encyclopedia of Genes Genomics (KEGG) analysis, and cis-elements prediction also revealed the positive functions of PODs in plant growth and developmental activities, and response to stress stimuli. Further, based on the publically available RNA-sequence data, the expression patterns of PODs in tissue-specific response during several developmental stages revealed diverged expression patterns. Subsequently, 30 genes were selected for RT-PCR validation in response to (NaCl, drought, and ABA), which showed their critical role in grapevine. Conclusions : In conclusion, we predict that these results will lead to novel insights regarding genetic improvement of grapevine.

“…The relative fold expression was calibrated by using the comparative Ct-method. The gene expression levels for SET and JmjC were analyzed by following the previously reported study [30,82].…”

Section: Rna Extraction and Qrt-pcr Validationmentioning

confidence: 99%

Identification, Evolution, and Expression Profiling of Histone Lysine Methylation Moderators in Brassica rapa

Liu

et al. 2019

Plants

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Histone modifications, such as methylation and demethylation, are vital for regulating chromatin structure, thus affecting its expression patterns. The objective of this study is to understand the phylogenetic relationships, genomic organization, diversification of motif modules, gene duplications, co-regulatory network analysis, and expression dynamics of histone lysine methyltransferases and histone demethylase in Brassica rapa. We identified 60 SET (HKMTases), 53 JmjC, and 4 LSD (HDMases) genes in B. rapa. The domain composition analysis subcategorized them into seven and nine subgroups, respectively. Duplication analysis for paralogous pairs of SET and JmjC (eight and nine pairs, respectively) exhibited variation. Interestingly, three pairs of SET exhibited Ka/Ks > 1.00 values, signifying positive selection, whereas the remaining underwent purifying selection with values less than 1.00. Furthermore, RT-PCR validation analysis and RNA-sequence data acquired on six different tissues (i.e., leaf, stem, callus, silique, flower, and root) revealed dynamic expression patterns. This comprehensive study on the abundance, classification, co-regulatory network analysis, gene duplication, and responses to heat and cold stress of SET and JmjC provides insights into the structure and diversification of these family members in B. rapa. This study will be helpful to reveal functions of these putative SET and JmjC genes in B. rapa.