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The CRISPR/Cas (Clustered regularly interspaced short palindromic repeats/ CRISPR associated protein 9) system was discovered in bacteria and archea as an acquired immune response to protect the cells from infection. This technology has now evolved to become an efficient genome editing tool, and is replacing older gene editing technologies. This technique uses programmable sgRNAs to guide the Cas9 endonuclease to the target DNA location. sgRNA is a vital component of the CRISPR technology, since without it the Cas nuclease cannot reach to its target location. Over the years, many tools have been developed for designing sgRNAs, the details of which have been extensively reviewed here. It has proven to be a promising tool in the field of genetic engineering and has successfully generated many plant varieties with better and desirable qualities. In the present review, we attempted to collect,collate and summarize information related to the development of CRISPR/Cas9 system as a tool and subsequently into a technique having a wide array of applications in the field of plant genome editing in attaining desirable traits like resistance to various diseases, nutritional enhancement etc. In addition, the probable future prospects and the various bio-safety concerns associated with CRISPR gene editing technology have been discussed in detail.

This study aimed to investigate the effects of incidence rate, heritability, and polygenic variance on the statistical power of genome-wide association studies (GWAS) for threshold traits. Different incidence rates of threshold trait (1, 3, 5, 10, 25, 40, 50, 60, 75 and 90%), heritability (10 and 25%), and polygenic variance ratio (0 and 25%) were simulated separately for common (MAF ≥ 0.05), low-frequency (0.05 > MAF ≥ 0.01), and rare (MAF < 0.01) variants. Association studies were performed by logistic and linear mixed models. The highest statistical powers were observed in common and low-frequency variants with an incidence of 25-50% and 10-40%, respectively, but for rare variants, the highest statistical power was observed at low incidence. For all causal variant frequencies, the estimated heritability decline with an increase in incidence rate. We found high statistical power for traits with high heritability. In contrast, those with a high polygenic variance ratio have lower statistical power to detect common causal variants using a linear mixed model. These results demonstrate that the incidence rate of threshold traits, heritability, and polygenic variance may affect the statistical power of GWAS. Therefore, it is recommended that the effect of incidence rate, heritability, and polygenic variance be considered in designing GWAS for threshold traits.

Understanding the molecular associations underlying pathogen resistance in invasive plant species is likely to provide useful insights into the effective control of alien plants, thereby facilitating the conservation of native biodiversity. In the current study, we investigated pathogen resistance in an invasive clonal plant, Sphagneticola trilobata, at the molecular level. Sphagneticola trilobata (i.e., Singapore daisy) is a noxious weed that affects both terrestrial and aquatic ecosystems, and is less affected by pathogens in the wild than co-occurring native species. We used Illumina sequencing to investigate the transcriptome of S. trilobata following infection by a globally distributed generalist pathogen (Rhizoctonia solani). RNA was extracted from leaves of inoculated and un-inoculated control plants, and a draft transcriptome of S. trilobata was generated to examine the molecular response of this species following infection. We obtained a total of 49,961,014 (94.3%) clean reads for control (un-inoculated plants) and 54,182,844 (94.5%) for the infected treatment (inoculated with R. solani). Our analyses facilitated the discovery of 117,768 de novo assembled contigs and 78,916 unigenes. Of these, we identified 3506 differentially expressed genes and 60 hormones associated with pathogen resistance. Numerous genes, including candidate genes, were associated with plant-pathogen interactions and stress response in S. trilobata. Many recognitions, signaling, and defense genes were differentially regulated between treatments, which were confirmed by qRT-PCR. Overall, our findings improve our understanding of the genes and molecular associations involved in plant defense of a rapidly spreading invasive clonal weed, and serve as a valuable resource for further work on mechanism of disease resistance and managing invasive plants.

Relatively large number of bitter melon microsatellite markers have been reported; however, only few resulted in successful PCR amplification and a small fraction shown polymorphisms. This limited chance of recovering polymorphic markers makes the primer screening a cost-demanding process. To test the hypothesis that microsatellites with longer motifs as well as shorter motifs repeated substantially shall have better prospects to be polymorphic, we performed a genome-wide microsatellite mining. We selected a sample of genome-wide microsatellites with prescribed motif lengths or satisfying a target repeat number, which were considered potentially-hyper variable, for primer designing and validation. Seventy five microsatellites satisfying these criteria were identified, of which 69 were validated through successful PCR amplification. Among them, 40 (53.33% of the markers identified) were polymorphic. This result showed a significantly higher success compared to our initial results of 51 (20.64%) polymorphic markers out of the 188 amplified when 247 previously reported markers were screened. The screening of two cultivars revealed that markers were efficient to identify up to three alleles. The characterization of these 69 new markers with 247 markers previously reported showed that di-nucleotide motifs were most abundant, followed by tri- and tetra-nucleotide motifs. TC motif markers were most polymorphic (12.08%) followed by AG and CT motifs (both 9.89%). Similarly, AGA (6.59%) and TATT (3.29%) were most polymorphic among the tri- and tetra-nucleotide motifs. These 69 hypervariable microsatellite markers along with 188 markers initially validated in this study shall be useful for phylogenetic analyses, studies of linkage, QTL, and association mapping in bitter melon.

Stomata are essential pores flanked by guard cells that control gas exchange in plants. We can utilize stomatal size and density measurements as a proxy for a plant's capacity for gas exchange. While stomatal responses to stressful environments are well studied; data are lacking in the responses across mutant genotypes of the same species in these trait and treatment interactions or genetic variation in phenotypic plasticity. We evaluated the effects of soil nutrient variation on macroscopic and stomatal traits of Arabidopsis thaliana T-DNA insertion mutants for which prior performance in a single benign growing condition were available. Nutrient-induced stress significantly impacted traits including plant biomass, height, fruit number, and leaf number which we denote as macroscopic traits. We found evidence that genotype by environment effects exist for macroscopic traits, yet total stomatal area variation, or "microscopic variation" across environments was modest. Divergence from the wildtype line varied by mutant background and these responses were variable among traits. These findings suggest that Arabidopsis employs a strategy of physiological compensation, sacrificing morphological traits to maintain stomatal production.

Transposable elements (TEs) are important components of eukaryotic genomes and compose around 30% of the genome of Rhinella marina, an invasive toad species. Considering the possible role of TEs in the adaptation of populations, we have analyzed the expression of TEs in publicly available spleen tissue transcriptomic data generated for this species after immune and stress challenge. By analyzing the transcriptome assembly, we detected a high number of TE segments. Moreover, some distinct TE families were differentially expressed in some conditions. Our result shows that several TEs are capable of being transcribed in R. marina and they could help to generate a rapid response of specimens to the environment. Also, we can suggest that these TEs could be activated in the germinative cells as well producing variability to be selected and shaped by the evolutionary processes behind the success of this invasive species. Thus, the TEs are important targets for investigation in the context of R. marina adaptation.

Rubus hirsutus is a type of tonifying kidney-essence herb that belongs to the Rosaceae family, and has been commonly used to treat multiple diseases, such as polyuria, impotence, and infertility. In this study, we determined the complete chloroplast sequence of R. hirsutus and conduced a comparative analysis within the genus Rubus. The assembled chloroplast (cp.) genome is 156,380 bp in length with a GC content of 37.0% and shares a conserved quadripartite structure within the other cp. genomes in this genus. A total of 132 unique genes were annotated in the cp. genome of R. hirsutus, which contained 87 protein-coding genes, 37 tRNAs, and eight rRNAs. Seventeen duplicated genes were identified in the inverted repeats region. Furthermore, 70 simple sequence repeats and 35 long repeats were detected in total in the R. hirsutus chloroplast genome. Eight mutational hotspots were identified in the cp. genome of this species with higher nucleotide variations in non-coding regions than those of coding regions. Furthermore, the gene order, codon usage, and repeat sequence distribution were highly consistent in Rubus according to the results of a comparative analysis. A phylogenetic analysis indicated that there was a sister relationship between R. hirsutus and R. chingii. Overall, the complete chloroplast genome of R. hirsutus and the comparative analysis will help to further the evolutionary study, conservation, phylogenetic reconstruction, and development of molecular barcodes for the genus Rubus.

Identifying which species exhibit polyandry may lead to further insights into evolutionary biology and social behaviour. However, confirming polyandry can be difficult. High-resolution genetics provides a useful means to gain evidence. Although the threatened Pelodryadid frog, the green and golden bell frog Litoria aurea, has been subject to numerous ecological studies, there is uncertainty surrounding its reproductive ecology. Polyandry has not been formally identified in L. aurea or any species within the Pelodryadidae family. We aimed to identify if there was genetic evidence of polyandry in a population occurring in a wetland complex on Kooragang Island, New South Wales. To accomplish this, we collected genetic samples of tadpoles within the same size cohort about 20-30 days after explosive breeding events. Genotypes of 14 females, nine males and 70 tadpoles were analysed with COLONY (1988 single nucleotide polymorphisms after filtering) to identify parentage, full-siblings and half-siblings. We found support for the hypothesis that L. aurea is polyandrous. Based on previous observations of multi-male matings and the narrow time periods that breeding occurred in, it is likely this species exhibits simultaneous polyandry. We discuss these results in regards to behavioural adaptive processes and avenues for further research.

Expansins are cell wall loosening proteins and involved in various developmental processes and abiotic stress. No systematic research, however, has been conducted on expansin genes family in barley. A total of 46 expansins were identified and could be classified into three subfamilies in Hordeum vulgare: HvEXPA, HvEXPB, and HvEXLA. All expansin proteins contained two conserved domains: DPBB_1 and Pollen_allerg_1. Expansins, in the same subfamily, share similar motifs composition and exon-intron organization; but greater differences were found among different subfamilies. Expansins are distributed unevenly on 7 barley chromosomes; tandem duplicates, including the collinear tandem array, contribute to the forming of the expansin genes family in barley with few whole-genome duplication events. Most HvEXPAs mainly expressed in embryonic and root tissues. HvEXPBs and HvEXLAs showed different expression patterns in 16 tissues during different developmental stages. In response to water deficit, expansins in wild barley were more sensitive than that in cultivated barley; the expressions of HvEXPB5 and HvEXPB6 were significantly induced in wild barley under drought stress. Our study provides a comprehensive and systematic analysis of the barley expansin genes in genome-wide level. This information will lay a solid foundation for further functional exploration of expansin genes in plant development and drought stress tolerance.

Reducing false discoveries caused by population stratification (PS) has always been a challenge in genome-wide association studies (GWAS). The current literature established several single marker approaches including genomic control (GC), EIGENSTRAT and generalized linear mixed model association test (GMMAT) and multi-marker methods such as LASSO mixed model (LASSOMM). However, the single-marker methods require prespecifying an arbitrary p value threshold in the selection process, likely resulting in suboptimal precision or recall. On the other hand, it appears that LASSOMM is extremely computationally intensive and may not suitable for large-scale GWAS. In this paper, we proposed a simple multi-marker approach (PCA-LASSO) combining principal component analysis (PCA) and least absolute shrinkage and selection operator (LASSO). We utilize PCA to correct for the confounding effects of PS and LASSO with built-in cross-validation for a data-driven selection. Compared to the current single-marker approaches, the proposed PCA-LASSO provides optimal balance between precision and recall, and consequently superior F₁ scores. Similarly, compared to LASSOMM, PCA-LASSO markedly increases the precision while minimizing the loss of recall, and therefore improves the overall F₁ score in presence of PS. More importantly, PCA-LASSO drastically reduces the computational time by > 1000 times when compared to LASSOMM. We applied PCA-LASSO to a real dataset of Alzheimer's disease and successfully identified SNP rs429358 (Gene APOE4) which has been widely reported to be associated with the onset and elevated risk of Alzheimer's disease. In conclusion, PCA-LASSO is a simple, fast, but accurate approach for GWAS in presence of latent PS.