Draft Genome Sequences of Fungi Isolated from the International Space Station during the Microbial Tracking-2 Experiment.

As part of the Microbial Tracking-2 study, 94 fungal strains were isolated from surfaces on the International Space Station, and whole-genome sequences were assembled. Characterization of these draft genomes will allow evaluation of microgravity adaption, risks to human health and spacecraft functioning, and biotechnological applications of fungi.

Targeted Hybridization Capture of SARS-CoV-2 and Metagenomics Enables Genetic Variant Discovery and Nasal Microbiome Insights.

The emergence of novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genetic variants that may alter viral fitness highlights the urgency of widespread next-generation sequencing (NGS) surveillance. To profile genetic variants of the entire SARS-CoV-2 genome, we developed and clinically validated a hybridization capture SARS-CoV-2 NGS assay, integrating novel methods for panel design using double-stranded DNA (dsDNA) biotin-labeled probes, and built accompanying software. This test is the first hybrid capture-based NGS assay given Food and Drug Administration (FDA) emergency use authorization for detection of the SARS-CoV-2 virus.

Draft Genome Sequences of Various Bacterial Phyla Isolated from the International Space Station.

Whole-genome sequences were generated from 96 bacterial strains of 14 species that were isolated from International Space Station surfaces during the Microbial Tracking 2 study. Continued characterization of this closed habitat's microbiome enables tracking of the spread and evolution of secondary pathogens, which is vital for astronaut health.

Draft Genome Sequences of and Species Isolated from the International Space Station and Crew Resupply Vehicle Capsule.

The draft whole-genome sequences (WGS) of 30 fungal strains isolated from the International Space Station and belonging to the and genera were assembled. The WGS will allow for detailed genomic characterization to determine the possible applications and importance for space and biotechnological industries.

Draft Genome Sequences of Strains Isolated from the International Space Station.

The draft genome sequences of 29 bacterial isolates belonging to the family were collected from the International Space Station, assembled, and identified. Further analysis of these sequences will enable us to understand their roles for space and biotechnological applications.

Draft Genome Sequences of Species Isolated from the International Space Station.

Isolated across four locations aboard the International Space Station (ISS), 10 bacterial strains were compared using whole-genome sequencing analysis and were phylogenetically identified as The whole-genome sequences will aid in comparative genomic studies of ISS strains with Earth counterparts to gain insight into their adaptation to space conditions.

Draft Genome Sequences of Isolated from the International Space Station.

Nineteen strains from the order were isolated from the International Space Station and commercial resupply vehicle, and whole-genome sequences (WGS) were generated. WGS would permit the characterization of these potentially pathogenic bacteria that have been adapting to the extreme conditions of the space environment.

Draft Genome Sequences of Strains Isolated from the International Space Station.

The whole-genome sequences of 26 strains isolated from the International Space Station were generated, and the strains were identified as being members of the order Characterization of these whole-genome sequences might enable the identification of potential pathogenic bacteria that have been adapting to the space environment.

Draft Genome Sequences of Rhodotorula mucilaginosa Strains Isolated from the International Space Station.

The whole-genome sequences (WGS) of 28 isolates from the International Space Station were generated and identified as , a pigmented yeast that has been classified as an emerging human pathogen in recent times. These WGS enable the identification of genes responsible for synthesizing compounds with biological implications.

Response to early drought stress and identification of QTLs controlling biomass production under drought in pearl millet.

Pearl millet plays a major role in food security in arid and semi-arid areas of Africa and India. However, it lags behind the other cereal crops in terms of genetic improvement. The recent sequencing of its genome opens the way to the use of modern genomic tools for breeding.

Pearl Millet Genome: Lessons from a Tough Crop.

Pearl millet is an important cereal for food security in the arid regions of Africa and India. The recently published genome of this tough cereal crop has shed new light on its history and adaptation to dry, hot climates and paves the way for much-needed genomic-based breeding efforts.

Quantitative disease resistance to the bacterial pathogen Xanthomonas campestris involves an Arabidopsis immune receptor pair and a gene of unknown function.

Although quantitative disease resistance (QDR) is a durable and broad-spectrum form of resistance in plants, the identification of the genes underlying QDR is still in its infancy. RKS1 (Resistance related KinaSe1) has been reported recently to confer QDR in Arabidopsis thaliana to most but not all races of the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc).

An atypical kinase under balancing selection confers broad-spectrum disease resistance in Arabidopsis.

The failure of gene-for-gene resistance traits to provide durable and broad-spectrum resistance in an agricultural context has led to the search for genes underlying quantitative resistance in plants. Such genes have been identified in only a few cases, all for fungal or nematode resistance, and encode diverse molecular functions. However, an understanding of the molecular mechanisms of quantitative resistance variation to other enemies and the associated evolutionary forces shaping this variation remain largely unknown.

Co-variation between seed dormancy, growth rate and flowering time changes with latitude in Arabidopsis thaliana.

Life-history traits controlling the duration and timing of developmental phases in the life cycle jointly determine fitness. Therefore, life-history traits studied in isolation provide an incomplete view on the relevance of life-cycle variation for adaptation. In this study, we examine genetic variation in traits covering the major life history events of the annual species Arabidopsis thaliana: seed dormancy, vegetative growth rate and flowering time.

DOG1 expression is predicted by the seed-maturation environment and contributes to geographical variation in germination in Arabidopsis thaliana.

Seasonal germination timing of Arabidopsis thaliana strongly influences overall life history expression and is the target of intense natural selection. This seasonal germination timing depends strongly on the interaction between genetics and seasonal environments both before and after seed dispersal. DELAY OF GERMINATION 1 (DOG1) is the first gene that has been identified to be associated with natural variation in primary dormancy in A.

Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Although pioneered by human geneticists as a potential solution to the challenging problem of finding the genetic basis of common human diseases, genome-wide association (GWA) studies have, owing to advances in genotyping and sequencing technology, become an obvious general approach for studying the genetics of natural variation and traits of agricultural importance. They are particularly useful when inbred lines are available, because once these lines have been genotyped they can be phenotyped multiple times, making it possible (as well as extremely cost effective) to study many different traits in many different environments, while replicating the phenotypic measurements to reduce environmental noise. Here we demonstrate the power of this approach by carrying out a GWA study of 107 phenotypes in Arabidopsis thaliana, a widely distributed, predominantly self-fertilizing model plant known to harbour considerable genetic variation for many adaptively important traits.