Swainatkinson6688

Vaginitis is a common and very private disease, and the current diagnosis is a frequent go to the hospital for testing.

In order to improve the convenience and speed of detection, in this paper, we have developed a hand-held zoom micro-imaging system based on a microfluidic chip for point-of-care testing (POCT) of vaginal inflammation.

This system consists of a microfluidic chip, an optical system and a hand-held zoom system assembled with a mobile phone. In terms of hardware, we designed a self-priming microfluidic chip, which can realize automatic sampling and full mixing of samples. We have also developed an optical system that can be adapted to smartphones, which has a lens group with a 37x magnification function and equipped with a zoom system with a focus range of 4mm to 6mm. In terms of software, we proposed an APP that can accurately identify cocci and can determine the inflammation level.

Compared with the recognition rate of the observers in the hospital, the detection accuracy of the portable recognition system is 95%, and after testing the clinical samples, the results were completely consistent with the hospital diagnosis results. The detection limit was 500 CFU / ml, which the relative error was (0.9 ± 0.3) %, and recognition time is 7 seconds.

This system is definitely suitable for women's point-of-care testing (POCT).

This system is definitely suitable for women's point-of-care testing (POCT).

Multiple transitions from insect to wind pollination are associated with polyploidy and unisexual flowers in

(Ranunculaceae), yet the underlying genetics remains unknown. We generated a draft genome of

, a representative of a clade with ancestral floral traits (diploid, hermaphrodite, and insect pollinated) and a model for functional studies. Floral transcriptomes of

and of wind-pollinated, andromonoecious

are presented as a resource to facilitate candidate gene discovery in flowers with different sexual and pollination systems.

A draft genome of

and two floral transcriptomes of

and

were obtained from HiSeq 2000 Illumina sequencing and de novo assembly.

The

de novo draft genome assembly consisted of 44,860 contigs (N50 = 12,761 bp, 243 Mbp total length) and contained 84.5% conserved embryophyte single-copy genes. Floral transcriptomes contained representatives of most eukaryotic core genes, and most of their genes formed orthogroups.

To validate the utility of these resources, potential candidate genes were identified for the different floral morphologies using stepwise data set comparisons. Single-copy gene analysis and simple sequence repeat markers were also generated as a resource for population-level and phylogenetic studies.

To validate the utility of these resources, potential candidate genes were identified for the different floral morphologies using stepwise data set comparisons. Single-copy gene analysis and simple sequence repeat markers were also generated as a resource for population-level and phylogenetic studies.

New sequencing technologies facilitate the generation of large-scale molecular data sets for constructing the plant tree of life. We describe a new probe set for target enrichment sequencing to generate nuclear sequence data to build phylogenetic trees with any flagellate land plants, including hornworts, liverworts, mosses, lycophytes, ferns, and all gymnosperms.

We leveraged existing transcriptome and genome sequence data to design the GoFlag 451 probes, a set of 56,989 probes for target enrichment sequencing of 451 exons that are found in 248 single-copy or low-copy nuclear genes across flagellate plant lineages.

Our results indicate that target enrichment using the GoFlag451 probe set can provide large nuclear data sets that can be used to resolve relationships among both distantly and closely related taxa across the flagellate land plants. We also describe the GoFlag 408 probes, an optimized probe set covering 408 of the 451 exons from the GoFlag 451 probe set that is commercialized by RAPiD Genomics.

A target enrichment approach using the new probe set provides a relatively low-cost solution to obtain large-scale nuclear sequence data for inferring phylogenetic relationships across flagellate land plants.

A target enrichment approach using the new probe set provides a relatively low-cost solution to obtain large-scale nuclear sequence data for inferring phylogenetic relationships across flagellate land plants.

The tallgrass prairies of North America are one of the most threatened ecosystems in the world, making efficient species identification essential for understanding and managing diversity. Here, we assess DNA barcoding with high-throughput sequencing as a method for rapid plant species identification.

Using herbarium collections representing the tallgrass prairie flora of Oak Lake Field Station, South Dakota, USA, we amplified and examined four common nuclear and plastid barcode regions (ITS,

,

, and

), individually and in combination, to test their success in identifying samples to family, genus, and species levels using BLAST searches of three databases of varying size.

Concatenated barcodes increased performance, although none were significantly different than single-region barcodes. The plastid region

performed significantly more poorly than the others, while barcodes containing ITS performed best. find more Database size significantly affected identification success at all three taxonomic levels. Confident species-level identification ranged from 8-44% for the global database, 13-56% for the regional database, and 21-80% for the sampled species database, depending on the barcode used.

Barcoding was generally successful in identifying tallgrass prairie genera and families, but was of limited use in species-level identifications. Database size was an important factor in successful plant identification. We discuss future directions and considerations for improving the performance of DNA barcoding in tallgrass prairies.

Barcoding was generally successful in identifying tallgrass prairie genera and families, but was of limited use in species-level identifications. Database size was an important factor in successful plant identification. We discuss future directions and considerations for improving the performance of DNA barcoding in tallgrass prairies.