scholarly journals The citrus microbiome: from structure and function to microbiome engineering and beyond

2021 ◽  
Author(s):  
Yunzheng Zhang ◽  
Pankaj Trivedi ◽  
jin xu ◽  
M. Caroline Roper ◽  
Nian Wang
Keyword(s):  
Artificial Intelligence ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Plant Root ◽  
Rapid Development ◽  
Structure And Function ◽  
Omics Technologies ◽  
Microbiome Research ◽  
Citrus Root ◽  
And Function

Individual microbes often have defined relationship with their hosts that include beneficial, commensal, and pathogenic interactions. However, at the community level, plant microbiomes are considered to play a beneficial role in protecting the plant from potential pathogens, acquiring nutrients, and improving growth and production. Citrus is a globally important perennial fruit crop and its production faces many challenges. There have been tremendous interests to explore the structure and function of citrus microbiome and engineer citrus microbiome to address various challenges. In this review, we summarized recent advances in understanding of citrus microbiome, including the composition and function of microbiome in the rhizosphere, rhizoplane, endorhiza, core members and their functional traits. We conducted comparisons of citrus root-associated microbiome with other plant root-associated microbiomes. We also present a perspective on how incoming pathogens interact with the resident microbial community and their outcomes. Despite the promising potential of the citrus microbiome to combat disease, harnessing the citrus microbiome for beneficial applications remains in its infancy. We envision that rapid development of high throughput sequencing and multi-omics technologies, artificial intelligence, consortia of microbes, genome editing technology, and high-throughput culturing present many exciting opportunities to citrus microbiome research and microbial engineering to improve citrus health and productivity.

scholarly journals Implementation of High-Throughput Sequencing (HTS) in Aptamer Selection Technology

2020 ◽  
Vol 21 (22) ◽  
pp. 8774
Author(s):  
Natalia Komarova ◽  
Daria Barkova ◽  
Alexander Kuznetsov
Keyword(s):  
Nucleic Acid ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Combinatorial Libraries ◽  
Structure And Function ◽  
Huge Number ◽  
Systematic Evolution ◽  
And Function ◽  
Exponential Enrichment

Aptamers are nucleic acid ligands that bind specifically to a target of interest. Aptamers have gained in popularity due to their high potential for different applications in analysis, diagnostics, and therapeutics. The procedure called systematic evolution of ligands by exponential enrichment (SELEX) is used for aptamer isolation from large nucleic acid combinatorial libraries. The huge number of unique sequences implemented in the in vitro evolution in the SELEX process imposes the necessity of performing extensive sequencing of the selected nucleic acid pools. High-throughput sequencing (HTS) meets this demand of SELEX. Analysis of the data obtained from sequencing of the libraries produced during and after aptamer isolation provides an informative basis for precise aptamer identification and for examining the structure and function of nucleic acid ligands. This review discusses the technical aspects and the potential of the integration of HTS with SELEX.

scholarly journals Assessment of Bioleaching Microbial Community Structure and Function Based on Next-Generation Sequencing Technologies

Minerals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 596 ◽  
Author(s):  
Shuang Zhou ◽  
Min Gan ◽  
Jianyu Zhu ◽  
Xinxing Liu ◽  
Guanzhou Qiu
Keyword(s):  
Community Structure ◽  
Next Generation Sequencing ◽  
Microbial Ecology ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Structure And Function ◽  
Next Generation ◽  
Sequencing Technologies ◽  
And Function ◽  
Generation Sequencing

It is widely known that bioleaching microorganisms have to cope with the complex extreme environment in which microbial ecology relating to community structure and function varies across environmental types. However, analyses of microbial ecology of bioleaching bacteria is still a challenge. To address this challenge, numerous technologies have been developed. In recent years, high-throughput sequencing technologies enabling comprehensive sequencing analysis of cellular RNA and DNA within the reach of most laboratories have been added to the toolbox of microbial ecology. The next-generation sequencing technology allowing processing DNA sequences can produce available draft genomic sequences of more bioleaching bacteria, which provides the opportunity to predict models of genetic and metabolic potential of bioleaching bacteria and ultimately deepens our understanding of bioleaching microorganism. High-throughput sequencing that focuses on targeted phylogenetic marker 16S rRNA has been effectively applied to characterize the community diversity in an ore leaching environment. RNA-seq, another application of high-throughput sequencing to profile RNA, can be for both mapping and quantifying transcriptome and has demonstrated a high efficiency in quantifying the changing expression level of each transcript under different conditions. It has been demonstrated as a powerful tool for dissecting the relationship between genotype and phenotype, leading to interpreting functional elements of the genome and revealing molecular mechanisms of adaption. This review aims to describe the high-throughput sequencing approach for bioleaching environmental microorganisms, particularly focusing on its application associated with challenges.

scholarly journals The Relationship between the Community Structure and Function of Bacterioplankton and the Environmental Response in Qingcaosha Reservoir

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3155
Author(s):  
Shumin Liu ◽  
Fengbin Zhao ◽  
Xin Fang
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
High Throughput Sequencing ◽  
Scientific Basis ◽  
Vital Role ◽  
Structure And Function ◽  
Environmental Response ◽  
Temporal And Spatial ◽  
Density And Biomass ◽  
And Function

Phytoplankton and bacterioplankton play a vital role in the structure and function of aquatic ecosystems, and their activity is closely linked to water eutrophication. However, few researchers have considered the temporal and spatial succession of phytoplankton and bacterioplankton, and their responses to environmental factors. The temporal and spatial succession of bacterioplankton and their ecological interaction with phytoplankton and water quality were analyzed using 16S rDNA high-throughput sequencing for their identification, and the functions of bacterioplankton were predicted. The results showed that the dominant classes of bacterioplankton in the Qingcaosha Reservoir were Gammaproteobacteria, Alphaproteobacteria, Actinomycetes, Acidimicrobiia, and Cyanobacteria. In addition, the Shannon diversity indexes were compared, and the results showed significant temporal differences based on monthly averaged value, although no significant spatial difference. The community structure was found to be mainly influenced by phytoplankton density and biomass, dissolved oxygen, and electrical conductivity. The presence of Pseudomonas and Legionella was positively correlated with that of Pseudanabaena sp., and Sphingomonas and Paragonimus with Melosira granulata. On the contrary, the presence of Planctomycetes was negatively correlated with Melosira granulata, as was Deinococcus-Thermus with Cyclotella sp. The relative abundance of denitrifying bacteria decreased from April to December, while the abundance of nitrogen-fixing bacteria increased. This study provides a scientific basis for understanding the ecological interactions between bacteria, algae, and water quality in reservoir ecosystems.

scholarly journals Behavior Individuality: A Focus on Drosophila melanogaster

2021 ◽  
Vol 12 ◽  
Author(s):  
Rubén Mollá-Albaladejo ◽  
Juan A. Sánchez-Alcañiz
Keyword(s):  
Gene Expression ◽  
Drosophila Melanogaster ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Great Effort ◽  
Behavioral Differences ◽  
Adult Behavior ◽  
Large Numbers ◽  
Environmental Variations ◽  
And Function

Among individuals, behavioral differences result from the well-known interplay of nature and nurture. Minute differences in the genetic code can lead to differential gene expression and function, dramatically affecting developmental processes and adult behavior. Environmental factors, epigenetic modifications, and gene expression and function are responsible for generating stochastic behaviors. In the last decade, the advent of high-throughput sequencing has facilitated studying the genetic basis of behavior and individuality. We can now study the genomes of multiple individuals and infer which genetic variations might be responsible for the observed behavior. In addition, the development of high-throughput behavioral paradigms, where multiple isogenic animals can be analyzed in various environmental conditions, has again facilitated the study of the influence of genetic and environmental variations in animal personality. Mainly, Drosophila melanogaster has been the focus of a great effort to understand how inter-individual behavioral differences emerge. The possibility of using large numbers of animals, isogenic populations, and the possibility of modifying neuronal function has made it an ideal model to search for the origins of individuality. In the present review, we will focus on the recent findings that try to shed light on the emergence of individuality with a particular interest in D. melanogaster.

scholarly journals HTSeq - A Python framework to work with high-throughput sequencing data

2014 ◽  
Author(s):  
Simon Anders ◽  
Paul Theodor Pyl ◽  
Wolfgang Huber
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Rapid Development ◽  
Differential Expression Analysis ◽  
Rna Seq ◽  
Sequencing Data ◽  
Standard Work ◽  
Data Formats ◽  
High Throughput Sequencing Data ◽  
Python Package

Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard work flows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such scripts. HTSeq offers parsers for many common data formats in HTS projects, as well as classes to represent data such as genomic coordinates, sequences, sequencing reads, alignments, gene model information, variant calls, and provides data structures that allow for querying via genomic coordinates. We also present htseq-count, a tool developed with HTSeq that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes. Availability: HTSeq is released as open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index, https://pypi.python.org/pypi/HTSeq

scholarly journals Detection of Small-Molecule Modulators of Actin-Myosin Structure and Function using High-Throughput Time-Resolved FRET

2017 ◽  
Vol 112 (3) ◽  
pp. 237a
Author(s):  
Piyali Guhathakurta ◽  
Ewa Prochniewicz ◽  
Kurt C. Peterson ◽  
Benjamin D. Grant ◽  
Gregory D. Gillispie ◽  
...  
Keyword(s):  
Small Molecule ◽  
High Throughput ◽  
Structure And Function ◽  
Throughput Time ◽  
Time Resolved ◽  
Small Molecule Modulators ◽  
And Function
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