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Evaluation of Drought Resistance and Transcriptome Analysis for the Identification of Drought-responsive Genes in Iris Germanica

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Journal Sci Rep
Specialty Science
Date 2021 Aug 12
PMID 34381085
Citations 10
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Abstract

Iris germanica, a species with very high ornamental value, exhibits the strongest drought resistance among the species in the genus Iris, but the molecular mechanism underlying its drought resistance has not been evaluated. To investigate the gene expression profile changes exhibited by high-drought-resistant I. germanica under drought stress, 10 cultivars with excellent characteristics were included in pot experiments under drought stress conditions, and the changes in the chlorophyll (Chl) content, plasma membrane relative permeability (RP), and superoxide dismutase (SOD), malondialdehyde (MDA), free proline (Pro), and soluble protein (SP) levels in leaves were compared among these cultivars. Based on their drought-resistance performance, the 10 cultivars were ordered as follows: 'Little Dream' > 'Music Box' > 'X'Brassie' > 'Blood Stone' > 'Cherry Garden' > 'Memory of Harvest' > 'Immortality' > 'White and Gold' > 'Tantara' > 'Clarence'. Using the high-drought-resistant cultivar 'Little Dream' as the experimental material, cDNA libraries from leaves and rhizomes treated for 0, 6, 12, 24, and 48 h with 20% polyethylene glycol (PEG)-6000 to simulate a drought environment were sequenced using the Illumina sequencing platform. We obtained 1, 976, 033 transcripts and 743, 982 unigenes (mean length of 716 bp) through a hierarchical clustering analysis of the resulting transcriptome data. The unigenes were compared against the Nr, Nt, Pfam, KOG/COG, Swiss-Prot, KEGG, and gene ontology (GO) databases for functional annotation, and the gene expression levels in leaves and rhizomes were compared between the 20% PEG-6000 stress treated (6, 12, 24, and 48 h) and control (0 h) groups using DESeq2. 7849 and 24,127 differentially expressed genes (DEGs) were obtained from leaves and rhizomes, respectively. GO and KEGG enrichment analyses of the DEGs revealed significantly enriched KEGG pathways, including ribosome, photosynthesis, hormone signal transduction, starch and sucrose metabolism, synthesis of secondary metabolites, and related genes, such as heat shock proteins (HSPs), transcription factors (TFs), and active oxygen scavengers. In conclusion, we conducted the first transcriptome sequencing analysis of the I. germanica cultivar 'Little Dream' under drought stress and generated a large amount of genetic information. This study lays the foundation for further exploration of the molecular mechanisms underlying the responses of I. germanica to drought stress and provides valuable genetic resources for the breeding of drought-resistant plants.

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References
1.
Hoerling M, Kumar A . The perfect ocean for drought. Science. 2003; 299(5607):691-4. DOI: 10.1126/science.1079053. View

2.
Shao H, Chu L, Jaleel C, Manivannan P, Panneerselvam R, Shao M . Understanding water deficit stress-induced changes in the basic metabolism of higher plants - biotechnologically and sustainably improving agriculture and the ecoenvironment in arid regions of the globe. Crit Rev Biotechnol. 2009; 29(2):131-51. DOI: 10.1080/07388550902869792. View

3.
Shinozaki K, Yamaguchi-Shinozaki K . Gene networks involved in drought stress response and tolerance. J Exp Bot. 2006; 58(2):221-7. DOI: 10.1093/jxb/erl164. View

4.
Golldack D, Luking I, Yang O . Plant tolerance to drought and salinity: stress regulating transcription factors and their functional significance in the cellular transcriptional network. Plant Cell Rep. 2011; 30(8):1383-91. DOI: 10.1007/s00299-011-1068-0. View

5.
Bedada G, Westerbergh A, Muller T, Galkin E, Bdolach E, Moshelion M . Transcriptome sequencing of two wild barley (Hordeum spontaneum L.) ecotypes differentially adapted to drought stress reveals ecotype-specific transcripts. BMC Genomics. 2014; 15:995. PMC: 4251939. DOI: 10.1186/1471-2164-15-995. View