No abstract

Lectin receptor-like kinases (LecRLKs) are class of membrane proteins found in higher plants that are involved in diverse functions ranging from plant growth and development to stress tolerance. The basic structure of LecRLK protein comprises of a lectin and a kinase domain, which are interconnected by transmembrane region. Here we have identified LecRLKs from Arabidopsis and rice and studied these proteins on the basis of their expression profile and phylogenies. We were able to identify 32 G-type, 42 L-type and 1 C-type LecRLKs from Arabidopsis and 72 L-type, 100 G-type and 1 C-type LecRLKs from rice on the basis of their annotation and presence of lectin as well kinase domains. The whole family is rather intron-less. We have sub-grouped the gene family on the basis of their phylogram. Although on the basis of sequence the members of each group are closely associated but their functions vary to a great extent. The interacting partners and coexpression data of the genes revealed the importance of gene family in physiology and stress related responses. An in-depth analysis on gene-expression suggested clear demarcation in roles assigned to each gene. To gain additional knowledge about the LecRLK gene family, we searched for previously unreported motifs and checked their importance structurally on the basis of homology modelling. The analysis revealed that the gene family has important roles in diverse functions in plants, both in the developmental stages and in stress conditions. This study thus opens the possibility to explore the roles that LecRLKs might play in life of a plant.

No abstract

Sequence-level searches on large collections of RNA sequencing experiments, such as the NCBI Sequence Read Archive (SRA), would enable one to ask many questions about the expression or variation of a given transcript in a population. Existing approaches, such as the sequence Bloom tree, suffer from fundamental limitations of the Bloom filter, resulting in slow build and query times, less-than-optimal space usage, and potentially large numbers of false-positives. This paper introduces Mantis, a space-efficient system that uses new data structures to index thousands of raw-read experiments and facilitates large-scale sequence searches. In our evaluation, index construction with Mantis is 6× faster and yields a 20% smaller index than the state-of-the-art split sequence Bloom tree (SSBT). For queries, Mantis is 6-108× faster than SSBT and has no false-positives or -negatives. For example, Mantis was able to search for all 200,400 known human transcripts in an index of 2,652 RNA sequencing experiments in 82 min; SSBT took close to 4 days.

Phosphate solubilizing bacteria (PSB) has ability to convert insoluble form of phosphorous to an available form. Applications of PSB as inoculants increase the phosphorus uptake by plant in the agriculture field. In this study, isolation and identification of PSB were carried out in Indian agriculture field (Nainital region, Uttarakhand). A total of 8 phosphate solubilizing bacterial colonies were isolated on the Pikovskaya’s (PKV) agar medium, containing insoluble tricalcium phosphate (TCP). The colonies showed clear halo zones around the bacterial growth were considered as phosphate solubilizers. Out of 8 bacterial isolates, 3 isolates showed high phosphate solubilization index (PSI) ranged from 4.88 ± 0.69 to 4.48 ± 0.30, lower pH ranging 3.08 ± 0.08 to 3.82 ± 0.12 and high phosphate solubilization varied from 305.49 ± 10 μg/ml to 277.72 ± 1.45 μg/ml, were selected for further characterization. Based on the 16 S rRNA gene sequence analysis A4 isolate and H6 isolate were closely related to Alcaligenes aquatilis (99%), and C1 isolate was closely related to Burkholderia cepacia (99%). In addition, pot examination also showed the greatest efficiency in promotion of maize growth compared to uninoculated plant. Isolated PSB were able to produce different organic acids (such as gluconic acids, formic acid, and citric acid) in the culture supernatant and may consider as the principle mechanism for phosphate solubilization. This study clearly indicates that A4, C1 and H6 isolates may use as a biofertilizers in ecological agricultural systems instead of synthetic chemicals and may help to sustain environmental health and soil productivity.

The colored de Bruijn graph-a variant of the de Bruijn graph which associates each edge (i.e., k-mer) with some set of colors -is an increasingly important combinatorial structure in computational biology. Iqbal et al. demonstrated the utility of this structure for representing and assembling a collection (population) of genomes, and showed how it can be used to accurately detect genetic variants. Muggli et al. introduced VARI, a representation of the colored de Bruijn graph that adopts the BOSS representation for the de Bruijn graph topology and achieves considerable savings in space over Cortex, albeit with some sacrifice in speed. The memory-efficient representation of VARI allows the colored de Bruijn graph to be constructed and analyzed for large datasets, beyond what is possible with Cortex.In this paper, we introduce Rainbowfish, a succinct representation of the color information of the colored de Bruijn graph that reduces the space usage even further. Our representation also uses BOSS to represent the de Bruijn graph, but decomposes the color sets based on an equivalence relation and exploits the inherent skewness in the distribution of these color sets. The Rainbowfish representation is compressed based on the 0th-order entropy of the color sets, which can lead to a significant reduction in the space required to store the relevant information for each edge. In practice, Rainbowfish achieves up to a 20× improvement in space over VARI. Rainbowfish is written in C++11 and is available at https://github.com/COMBINE-lab/rainbowfish.

Supplementary data are available at Bioinformatics online.

‘Long COVID-19’ can affect different body systems. At present, avascular necrosis (AVN) as a sequalae of ‘long COVID-19’ has yet not been documented. By large-scale use of life-saving corticosteroids in COVID-19 cases, we anticipate that there will be a resurgence of AVN cases. We report a series of three cases in which patients developed AVN of the femoral head after being treated for COVID-19 infection. The mean dose of prednisolone used in these cases was 758 mg (400–1250 mg), which is less than the mean cumulative dose of around 2000 mg steroid, documented in the literature as causative for AVN. Patients were symptomatic and developed early AVN presentation at a mean of 58 days after COVID-19 diagnosis as compared with the literature which shows that it generally takes 6 months to 1 year to develop AVN post steroid exposure.