Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated Meta-Analysis Approach.

The complex trait of yield is controlled by several quantitative trait loci (QTLs). Given the global water deficit issue, the development of rice varieties suitable for non-flooded cultivation holds significant importance in breeding programs. The powerful approach of Meta-QTL (MQTL) analysis can be used for the genetic dissection of complicated quantitative traits. In the current study, a comprehensive MQTL analysis was conducted to identify consistent QTL regions associated with drought tolerance and yield-related traits under water deficit conditions in rice. In total, 1087 QTLs from 134 rice populations, published between 2000 to 2021, were utilized in the analysis. Distinct MQTL analysis of the relevant traits resulted in the identification of 213 stable MQTLs. The confidence interval (CI) for the detected MQTLs was between 0.12 and 19.7 cM. The average CI of the identified MQTLs (4.68 cM) was 2.74 times narrower compared to the average CI of the initial QTLs. Interestingly, 63 MQTLs coincided with SNP peak positions detected by genome-wide association studies for yield and drought tolerance-associated traits under water deficit conditions in rice. Considering the genes located both in the QTL-overview peaks and the SNP peak positions, 19 novel candidate genes were introduced, which are associated with drought response index, plant height, panicle number, biomass, and grain yield. Moreover, an inclusive MQTL analysis was performed on all the traits to obtain "Breeding MQTLs". This analysis resulted in the identification of 96 MQTLs with a CI ranging from 0.01 to 9.0 cM. The mean CI of the obtained MQTLs (2.33 cM) was 4.66 times less than the mean CI of the original QTLs. Thirteen MQTLs fulfilling the criteria of having more than 10 initial QTLs, CI < 1 cM, and an average phenotypic variance explained greater than 10%, were designated as "Breeding MQTLs". These findings hold promise for assisting breeders in enhancing rice yield under drought stress conditions.

Evaluating and Validating Sunflower Reference Genes for Q-PCR Studies Under High Temperature Condition.

Background: Q-PCR is the method of choice for PCR- based transcriptomics and validating microarray-based and RNA-seq results. Proper application of this technology requires proper normalization to correct as much as possible errors propagating during RNA extraction and cDNA synthesis. Objectives: The investigation was performed to find stable reference genes in sunflower under shifting in ambient temperature. Materials and Methods: Sequences of five well-known reference genes of Arabidopsis (Actin, Ubiquitin, Elongation factor-1, GAPDH, and SAND) and one well-known reference gene inhuman, Importin, were subjected to BLASTX against sunflower databases and the relevant genes were subjected to primer designing for q-PCR. Two sunflower inbred lines were cultivated at two dates so that anthesis occurred at nearly 30 °C and 40 °C (heat stress). The experiment was repeated for two years. Q-PCR was run on samples taken for two planting date separately at the beginning of anthesis for each genotype from leaf, taproots, receptacle base, immature and mature disc flowers and on pooled samples comprising of the tissues for each genotype, planting dates and also all tissues for both genotypes and both planting dates. Basic statistical properties of each candidate gene across all the samples were calculated. Furthermore, gene expression stability analysis was done for six candidate reference genes on Cq mean of two years using three independent algorithms, geNorm, Bestkeeper, and Refinder. Results: Designed primers for Actin2, SAND, GAPDH, Ubiquitin, EF-1a, and Importin yielded a single peak in melting curve analysis indicating specificity of the PCR reaction. Basic statistical analysis showed that Actin2 and EF-1a had the highest and lowest expression levels across all the samples, respectively. Actin2 appeared to be the most stable reference gene across all the samples based on the three used algorithms. Pairwise variation analysis revealed that for samples taken under ambient temperature of 30 °C, Actin2, EF-1a, SAND and for those taken under ambient temperature of 40 °C, Actin2, EF-1a, Importin and SAND have to be used for normalization in q-PCR studies. Moreover, it is suggested that normalization to be based on Actin2, SAND and EF-1a for vegetative tissues and Actin2, EF-1a, SAND and Importin for reproductive tissues. Conclusions: In the present research, proper reference genes for normalization of gene expression studies under heat stress conditions were introduced. Moreover, the presence of genotype-by- planting date interaction effects and tissue specific gene expression pattern on the behavior of the most three stable reference genes was indicated.

Genome-wide transcriptional profiling provides clues to molecular mechanisms underlying cold tolerance in chickpea.

Chickpea is an important food legume cultivated in several countries. A sudden drop in autumn temperature, freezing winter temperature, and late spring cold events result in significant losses in chickpea production. The current study used RNA sequencing of two cold tolerant (Saral) and sensitive (ILC533) Kabuli chickpea genotypes to identify cold tolerance-associated genes/pathways. A total of 200.85 million raw reads were acquired from the leaf samples by Illumina sequencing, and around 86% of the clean reads (199 million) were mapped to the chickpea reference genome. The results indicated that 3710 (1980 up- and 1730 down-regulated) and 3473 (1972 up- and 1501 down-regulated) genes were expressed differentially under cold stress in the tolerant and sensitive genotypes, respectively. According to the GO enrichment analysis of uniquely down-regulated genes under cold stress in ILC533, photosynthetic membrane, photosystem II, chloroplast part, and photosystem processes were enriched, revealing that the photosynthesis is severely sensitive to cold stress in this sensitive genotype. Many remarkable transcription factors (CaDREB1E, CaMYB4, CaNAC47, CaTCP4, and CaWRKY33), signaling/regulatory genes (CaCDPK4, CaPP2C6, CaMKK2, and CaHSFA3), and protective genes (CaCOR47, CaLEA3, and CaGST) were identified among the cold-responsive genes of the tolerant genotype. These findings would help improve cold tolerance across chickpea genotypes by molecular breeding or genetic engineering.

Transcriptome analysis of bread wheat leaves in response to salt stress.

Salinity is one of the main abiotic stresses limiting crop productivity. In the current study, the transcriptome of wheat leaves in an Iranian salt-tolerant cultivar (Arg) was investigated in response to salinity stress to identify salinity stress-responsive genes and mechanisms. More than 114 million reads were generated from leaf tissues by the Illumina HiSeq 2500 platform. An amount of 81.9% to 85.7% of reads could be mapped to the wheat reference genome for different samples. The data analysis led to the identification of 98819 genes, including 26700 novel transcripts. A total of 4290 differentially expressed genes (DEGs) were recognized, comprising 2346 up-regulated genes and 1944 down-regulated genes. Clustering of the DEGs utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) indicated that transcripts associated with phenylpropanoid biosynthesis, transporters, transcription factors, hormone signal transduction, glycosyltransferases, exosome, and MAPK signaling might be involved in salt tolerance. The expression patterns of nine DEGs were investigated by quantitative real-time PCR in Arg and Moghan3 as the salt-tolerant and susceptible cultivars, respectively. The obtained results were consistent with changes in transcript abundance found by RNA-sequencing in the tolerant cultivar. The results presented here could be utilized for salt tolerance enhancement in wheat through genetic engineering or molecular breeding.

Transcriptome response of roots to salt stress in a salinity-tolerant bread wheat cultivar.

Salt stress is one of the major adverse environmental factors limiting crop productivity. Considering Iran as one of the bread wheat origins, we sequenced root transcriptome of an Iranian salt tolerant cultivar, Arg, under salt stress to extend our knowledge of the molecular basis of salinity tolerance in Triticum aestivum. RNA sequencing resulted in more than 113 million reads and about 104013 genes were obtained, among which 26171 novel transcripts were identified. A comparison of abundances showed that 5128 genes were differentially expressed due to salt stress. The differentially expressed genes (DEGs) were annotated with Gene Ontology terms, and the key pathways were identified using Kyoto Encyclopedia of Gene and Genomes (KEGG) pathway mapping. The DEGs could be classified into 227 KEGG pathways among which transporters, phenylpropanoid biosynthesis, transcription factors, glycosyltransferases, glutathione metabolism and plant hormone signal transduction represented the most significant pathways. Furthermore, the expression pattern of nine genes involved in salt stress response was compared between the salt tolerant (Arg) and susceptible (Moghan3) cultivars. A panel of novel genes and transcripts is found in this research to be differentially expressed under salinity in Arg cultivar and a model is proposed for salt stress response in this salt tolerant cultivar of wheat employing the DEGs. The achieved results can be beneficial for better understanding and improvement of salt tolerance in wheat.

Retraction Note to: Potential Start Codon Targeted (SCoT) and Interretrotransposon Amplified Polymorphism (IRAP) Markers for Evaluation of Genetic Diversity and Conservation of Wild Pistacia Species Population.

"This article has been retracted by the Publisher in agreement with the Editor-in-Chief, because it contains portions of writings on the same topic already published and without sufficient attribution to these earlier works being given. The principal authors of the paper acknowledged that text from background sources was mistakenly used in this article without proper reference to the original source. Upon investigation carried out according to the Committee on Publication Ethics guidelines, it has been found that the authors have duplicated or rephrased parts from other articles of which the main sources.

Potential Start Codon Targeted (SCoT) and Inter-retrotransposon Amplified Polymorphism (IRAP) Markers for Evaluation of Genetic Diversity and Conservation of Wild Pistacia Species Population.

Wild pistachio species is important species in forests regions Iran and provide protection wind and soil erosion. Even though cultivation and utilization of Pistacia are fully exploited, the evolutionary history of the Pistacia genus and the relationships among the species and accessions is still not well understood. Two molecular marker strategies, SCoT and IRAP markers were analyzed for assessment of 50 accessions of this species accumulated from diverse geographical areas of Iran. A thorough of 115 bands were amplified using eight IRAP primers, of which 104 (90.4 %) have been polymorphic, and 246 polymorphic bands (68.7 %) had been located in 358 bands amplified by way of forty-four SCoT primers. Average PIC for IRAP and SCoT markers became 0.32 and 0.48, respectively. This is exposed that SCoT markers have been extra informative than IRAP for the assessment of variety among pistachio accessions. Primarily based on the two extraordinary molecular markers, cluster evaluation revealed that the 50 accessions taken for the evaluation may be divided into three distinct clusters. Those results recommend that the performance of SCoT and IRAP markers was highly the equal in fingerprinting of accessions. The results affirmed a low genetic differentiation among populations, indicating the opportunity of gene drift most of the studied populations. These findings might render striking information in breeding management strategies for genetic conservation and cultivar improvement.