Allozyme and RAPD polymorphism in Tylophora indica (Burm.f.) Merr.

Tylophora indica (Burm.f.) Merr (syn. T. asthmatica), is being indiscriminately collected for medicinal use which is not sustainable. Conservation of the species requires information on existing genetic content and its distribution in different populations. In the present study, polymorphism in allozyme and RAPD profiles of five populations were analysed using six enzyme systems and ten random primers. Genetic content in terms of allozymes and RAPDs as revealed by Shannon-Weiner index was more or less same in all the populations. Evenness as calculated from observed diversity (Shannon-Weiner index, H’) and the maximum expected diversity (H^max) for the allozymes and RAPDs was high for individual populations indicating that the distribution of genetic content was fairly uniform. From the results, it was concluded that collection of few genotypes from geographically distinct locations rather than intensive collection within one or two locations would be representative of the genetic variability present in this species.     

Cross-transferability and Polymorphic Potential of Genomic STMS Markers of Brassica Species

The present study was carried out with the objective of evaluating genomic STMS markers developed earlier in Brassica napus, B. oleracea, B. rapa and B. nigra for their use in Brassica juncea and B. carinata. Ninety-six of the 100 STMS markers used under standardized annealing temperatures and gel concentrations produced clear reproducible amplification pattern. For majority of the markers 60 °C annealing temperature and 3.5% metaphor agarose gel were found suitable. High cross-transferability of STMS markers to related Brassica species including B. carinata (91.6%) and B. juncea (87.5%) suggested the possibility of utilizing these markers for genome analysis in the species where no such markers are available. The ‘B’ genome derived markers showed lower level of transferability to the ‘A’ and ‘C’ genome Brassica species. The potential of STMS markers to detect polymorphism among Brassica species and genera was 98.9%. The level of inter-specific polymorphism was much higher than the intea-specific polymorphism. The markers capable of revealing polymorphism among Brassica species and genera would be useful in Brassica introgression breeding programme. The polymorphic markers were found efficient in establishing the expected evolutionary relationships among the six different Brassica species and two related genera. Low level of intra-specific polymorphism revealed by these markers suggested use of a large set of such markers for various applications in Brassica genetics, genomics and breeding.     

Gapped permutation pattern discovery for gene order comparisons.

The list of species whose complete DNA sequence have been read is growing steadily, and it is believed that comparative genomics is in its early days. Permutations patterns (groups of genes in some "close" proximity) on gene sequences of genomes across species is being studied under different models, to cope with this explosion of data. The challenge is to (intelligently and efficiently) analyze the genomes in the context of other genomes. In this paper, we present a generalized model that uses three notions, gapped permutation patterns (with gap g), genome clusters, via quorum, K>1, parameter, and, possible multiplicity in the patterns. The task is to automatically discover all permutation patterns (with possible multiplicity), that occur with gap g in at least K of the given m genomes. We present (log mN (I) + /Sigma/log/Sigma/N (O)) time algorithm where m is the number of sequences, each defined on Sigma, N (I) is the size of the input and N (O) is the size of the maximal gene clusters that appear in at least K of the m genomes.     

Wearable All‐Fabric‐Based Triboelectric Generator for Water Energy Harvesting

Realizing energy harvesting from water flow using triboelectric generators (TEGs) based on our daily wearable fabric or textile has practical significance. Challenges remain on methods to fabricate conformable TEGs that can be easily incorporated into waterproof textile, or directly harvest energy from water using hydrophobic textile. Herein, a wearable all‐fabric‐based TEG for water energy harvesting, with additional self‐cleaning and antifouling properties is reported for the first time. Hydrophobic cellulose oleoyl ester nanoparticles (HCOENPs) are prepared from microcrystalline cellulose, as a low‐cost and nontoxic coating material to achieve superhydrophobic coating on fabrics, including cotton, silk, flax, polyethylene terephthalate (PET), polyamide (nylon), and polyurethane. The resultant PET fabric‐based water‐TEG can generate an instantaneous output power density of 0.14 W m^?2 at a load resistance of 100 MΩ. An all‐fabric‐based dual‐mode TEG is further realized to harvest both the electrostatic energy and mechanical energy of water, achieving the maximum instantaneous output power density of 0.30 W m^?2. The HCOENPs‐coated fabric provides excellent breathability, washability, and environmentally friendly fabric‐based TEGs, making it a promising wearable self‐powered system.     

Gene proximity analysis across whole genomes via PQ trees.

Permutations on strings representing gene clusters on genomes have been studied earlier by Uno and Yagiura (2000), Heber and Stoye (2001), Bergeron et al. (2002), Eres et al. (2003), and Schmidt and Stoye (2004) and the idea of a maximal permutation pattern was introduced by Eres et al. (2003). In this paper, we present a new tool for representation and detection of gene clusters in multiple genomes, using PQ trees (Booth and Leuker, 1976): this describes the inner structure and the relations between clusters succinctly, aids in filtering meaningful from apparently meaningless clusters, and also gives a natural and meaningful way of visualizing complex clusters. We identify a minimal consensus PQ tree and prove that it is equivalent to a maximal pi pattern (Eres et al., 2003) and each subgraph of the PQ tree corresponds to a nonmaximal permutation pattern. We present a general scheme to handle multiplicity in permutations and also give a linear time algorithm to construct the minimal consensus PQ tree. Further, we demonstrate the results on whole genome datasets. In our analysis of the whole genomes of human and rat, we found about 1.5 million common gene clusters but only about 500 minimal consensus PQ trees, with E. Coli K-12 and B. Subtilis genomes, we found only about 450 minimal consensus PQ trees out of about 15,000 gene clusters, and when comparing eight different Chloroplast genomes, we found only 77 minimal consensus PQ trees out of about 6,700 gene clusters. Further, we show specific instances of functionally related genes in two of the cases.     

Efficient algorithms for polyploid haplotype phasing

Background

Inference of haplotypes, or the sequence of alleles along the same chromosomes, is a fundamental problem in genetics and is a key component for many analyses including admixture mapping, identifying regions of identity by descent and imputation. Haplotype phasing based on sequencing reads has attracted lots of attentions. Diploid haplotype phasing where the two haplotypes are complimentary have been studied extensively. In this work, we focused on Polyploid haplotype phasing where we aim to phase more than two haplotypes at the same time from sequencing data. The problem is much more complicated as the search space becomes much larger and the haplotypes do not need to be complimentary any more.

Results

We proposed two algorithms, (1) Poly-Harsh, a Gibbs Sampling based algorithm which alternatively samples haplotypes and the read assignments to minimize the mismatches between the reads and the phased haplotypes, (2) An efficient algorithm to concatenate haplotype blocks into contiguous haplotypes.

Conclusions

Our experiments showed that our method is able to improve the quality of the phased haplotypes over the state-of-the-art methods. To our knowledge, our algorithm for haplotype blocks concatenation is the first algorithm that leverages the shared information across multiple individuals to construct contiguous haplotypes. Our experiments showed that it is both efficient and effective.

     

Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea

A rapid high-resolution genome-wide strategy for molecular mapping of major QTL(s)/gene(s) regulating important agronomic traits is vital for in-depth dissection of complex quantitative traits and genetic enhancement in chickpea. The present study for the first time employed a NGS-based whole-genome QTL-seq strategy to identify one major genomic region harbouring a robust 100-seed weight QTL using an intra-specific 221 chickpea mapping population (desi cv. ICC 7184 × desi cv. ICC 15061). The QTL-seq-derived major SW QTL (CaqSW1.1) was further validated by single-nucleotide polymorphism (SNP) and simple sequence repeat (SSR) marker-based traditional QTL mapping (47.6% R² at higher LOD >19). This reflects the reliability and efficacy of QTL-seq as a strategy for rapid genome-wide scanning and fine mapping of major trait regulatory QTLs in chickpea. The use of QTL-seq and classical QTL mapping in combination narrowed down the 1.37 Mb (comprising 177 genes) major SW QTL (CaqSW1.1) region into a 35 kb genomic interval on desi chickpea chromosome 1 containing six genes. One coding SNP (G/A)-carrying constitutive photomorphogenic9 (COP9) signalosome complex subunit 8 (CSN8) gene of these exhibited seed-specific expression, including pronounced differential up-/down-regulation in low and high seed weight mapping parents and homozygous individuals during seed development. The coding SNP mined in this potential seed weight-governing candidate CSN8 gene was found to be present exclusively in all cultivated species/genotypes, but not in any wild species/genotypes of primary, secondary and tertiary gene pools. This indicates the effect of strong artificial and/or natural selection pressure on target SW locus during chickpea domestication. The proposed QTL-seq-driven integrated genome-wide strategy has potential to delineate major candidate gene(s) harbouring a robust trait regulatory QTL rapidly with optimal use of resources. This will further assist us to extrapolate the molecular mechanism underlying complex quantitative traits at a genome-wide scale leading to fast-paced marker-assisted genetic improvement in diverse crop plants, including chickpea.     

Development of a Quantitative Competitive Reverse Transcription Polymerase Chain Reaction (QC-RT–PCR) for Detection and Quantitation of Chikungunya Virus

Chikungunya is one of the most important emerging arboviral infections of public health significance. Due to lack of a licensed vaccine, rapid diagnosis plays an important role in early management of patients. In this study, a QC-RT–PCR assay was developed to quantify Chikungunya virus (CHIKV) RNA by targeting the conserved region of E1 gene. A competitor molecule containing an internal insertion was generated, which provided a stringent control of the quantification process. The introduction of 10-fold serially diluted competitor in each reaction was further used to determine sensitivity. The applicability of this assay for quantification of CHIKV RNA was evaluated with human clinical samples, and the results were compared with real-time quantitative RT–PCR. The sensitivity of this assay was estimated to be 100 RNA copies per reaction with a dynamic detection range of 10² to 10¹⁰ copies. Specificity was confirmed using closely related alpha and flaviviruses. The comparison of QC-RT–PCR result with real-time RT–PCR revealed 100% concordance for the detection of CHIKV in clinical samples. These findings demonstrated that the reported assay is convenient, sensitive and accurate method and has the potential usefulness for clinical diagnosis due to simultaneous detection and quantification of CHIKV in acute-phase serum samples.     

In situ observation of a cell adhesion and metabolism using surface infrared spectroscopy

In this study, we report on an in situ monitoring system of living cultured cells using infrared absorption spectroscopy in the geometry of multiple internal reflections (MIR-IRAS). In order to observe living cultured cells, the temperature in the sample chamber of a FT-IR spectrometer was maintained at 37 °C and a humidified gas mixture containing 5% CO₂ was introduced into the sample chamber. Human breast cell line MCF-7 cultured on Si MIR prisms were placed in the sample chamber and infrared spectra of MCF-7 cells were collected for 5 h. It was found that the adhesion and metabolism of MCF-7 cells could be monitored by the absorption intensity of amide-II protein band (1,545 cm⁻¹) and also by the absorption intensities of CH _x bands (2,700–3,100 cm⁻¹). These results suggest that our system is useful for a nondestructive and non-label monitoring of cell viability. Our method based on infrared absorption spectroscopy has a potential for bioscreening application.