Transcriptional Responses of Chilean Quinoa ( Willd.) Under Water Deficit Conditions Uncovers ABA-Independent Expression Patterns
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R49 genotype displayed best performance on selected physiological parameters and highest tolerance to drought.R49 drought over-represented transcripts has exhibited 19% of genes (306 contigs) that presented no homology to published databases.Expression pattern for canonical responses to drought such as ABA biosynthesis and other genes induced in response to drought were assessed by qPCR. Global freshwater shortage is one of the biggest challenges of our time, often associated to misuse, increased consumption demands and the effects of climate change, paralleled with the desertification of vast areas. (Willd.) represents a very promising species, due to both nutritional content and cultivation under water constraint. We characterized drought tolerance of three Chilean genotypes and selected Genotype R49 (Salares ecotype) based upon Relative Water Content (RWC), Electrolyte Leakage (EL) and maximum efficiency of photosystem II (F/F) after drought treatment, when compared to another two genotypes. Exploratory RNA-Seq of R49 was generated by Illumina paired-ends method comparing drought and control irrigation conditions. We obtained 104.8 million reads, with 54 million reads for control condition and 51 million reads for drought condition. Reads were assembled in 150,952 contigs, were 31,523 contigs have a reading frame of at least 300 nucleotides (100 aminoacids). BLAST2GO annotation showed a 15% of genes without homology to NCBI proteins, but increased to 19% (306 contigs) when focused into drought-induced genes. Expression pattern for canonical drought responses such as ABA biosynthesis and other genes induced were assessed by qPCR, suggesting novelty of R49 drought responses.
Dehghanian Z, Ahmadabadi M, Asgari Lajayer B, Gougerdchi V, Hamedpour-Darabi M, Bagheri N Plants (Basel). 2024; 13(15).
PMID: 39124236 PMC: 11313704. DOI: 10.3390/plants13152117.
Rey E, Maughan P, Maumus F, Lewis D, Wilson L, Fuller J Commun Biol. 2023; 6(1):1263.
PMID: 38092895 PMC: 10719370. DOI: 10.1038/s42003-023-05613-4.
Evaluating relationships between seed morphological traits and seed dormancy in Willd.
McGinty E, Craine E, Miller N, Ocana-Gallegos C, Spalding E, Murphy K Front Plant Sci. 2023; 14:1161165.
PMID: 37929178 PMC: 10623317. DOI: 10.3389/fpls.2023.1161165.
Tiwari S, Vaish S, Singh N, Basantani M, Bhargava A 3 Biotech. 2023; 13(7):230.
PMID: 37309406 PMC: 10257622. DOI: 10.1007/s13205-023-03659-z.
Sghaier N, Essemine J, Ben Ayed R, Gorai M, Ben Marzoug R, Rebai A Plants (Basel). 2023; 12(1).
PMID: 36616201 PMC: 9824623. DOI: 10.3390/plants12010071.