Notes

Comparative Review Qualitative along with Quantitative Methods of study regarding Closure.
Ischemic colitis (IC), the most common gastrointestinal ischemia, remains an enigmatic disease with a wide array of pathogenic mechanisms and injuries along with variable outcomes. Among this group, isolated right colon ischemia (IRCI) appears to be a distinct entity, with its own pathophysiology, clinical presentation, and higher morbidity and mortality compared to left-sided colitis. IRCI is the most common site of mass-forming ischemic colitis. Colonoscopy with biopsy remains the key to diagnosis for this former entity. IRCI management is the same as for other IC and complete resolution of the mass is expected within weeks.Cerebrospinal fluid (CSF)-venous fistulas are a recently recognized cause of spontaneous spinal CSF leak and present most commonly with Valsalva ("cough")-exacerbated or orthostatic headaches. By inducing CSF hypotension, they cause diffuse pachymeningeal enhancement and brain sag on MRI. This unusual case demonstrates the potential for bilateral subdural hygroma development in a patient with an undiagnosed CSF-venous fistula after ventral intermediate nucleus (VIM) deep brain stimulation (DBS) implantation. A 68-year-old gentleman with medically-refractory essential tremor underwent extensive preoperative evaluation by the Mayo Clinic-Rochester DBS Committee. Initial MRI during preoperative evaluation had no evidence of CSF hypotension, but MRI performed the day before surgery demonstrated diffuse pachymeningeal enhancement. He underwent bilateral VIM DBS implantation and presented in the subacute postoperative period with bilateral subdural hygromas. Further testing identified a prominent hyperdense paraspinal vein arising from the T10/T11 nerve root, consistent with CSF-venous fistula. Even when patients undergo rigorous preoperative evaluations for surgical procedures, insidious pathologies can develop and cause unexpected postoperative complications.
Understanding the flower visitation history of individual pollinators is key in the study of pollination networks, but direct tracking is labor intensive and, more important, does not capture information about the previous interactions of an individual. Therefore, a protocol to detect most of the pollen species on the body surfaces of an individual pollinator could elucidate its flower visitation history.

Under a microscope, we observed 6.0-µL droplets from a sample solution (1.0 or 3.0 mL) containing pollen grains collected from individuals of six major pollinator functional groups. To clarify how many droplets need to be observed to detect all pollen species within the solution, we examined up to 10 droplets collected from each individual insect. Sample-based rarefaction curve analyses of the data showed that we could detect ~90% of the pollen species and the plant-pollinator links in the networks by observing six droplets.

The rarefaction curve analysis for pollen-on-pollinator studies is a useful preliminary step for minimizing the time and labor required while maximizing the data on the flower visitation history of each individual pollinator and revealing any hidden flower-pollinator interactions.
The rarefaction curve analysis for pollen-on-pollinator studies is a useful preliminary step for minimizing the time and labor required while maximizing the data on the flower visitation history of each individual pollinator and revealing any hidden flower-pollinator interactions.
Large phylogenetic data sets have often been restricted to small numbers of loci from GenBank, and a vetted sampling-to-sequencing phylogenomic protocol scaling to thousands of species is not yet available. Here, we report a high-throughput collections-based approach that empowers researchers to explore more branches of the tree of life with numerous loci.

We developed an integrated Specimen-to-Laboratory Information Management System (SLIMS), connecting sampling and wet lab efforts with progress tracking at each stage. Using unique identifiers encoded in QR codes and a taxonomic database, a research team can sample herbarium specimens, efficiently record the sampling event, and capture specimen images. After sampling in herbaria, images are uploaded to a citizen science platform for metadata generation, and tissue samples are moved through a simple, high-throughput, plate-based herbarium DNA extraction and sequencing protocol.

We applied this sampling-to-sequencing workflow to ~15,000 species, producing for the first time a data set with ~50% taxonomic representation of the "nitrogen-fixing clade" of angiosperms.

The approach we present is appropriate at any taxonomic scale and is extensible to other collection types. The widespread use of large-scale sampling strategies repositions herbaria as accessible but largely untapped resources for broad taxonomic sampling with thousands of species.
The approach we present is appropriate at any taxonomic scale and is extensible to other collection types. The widespread use of large-scale sampling strategies repositions herbaria as accessible but largely untapped resources for broad taxonomic sampling with thousands of species.
Large-scale projects such as the National Ecological Observatory Network (NEON) collect ecological data on entire biomes to track climate change. NEON provides an opportunity to launch community transcriptomic projects that ask integrative questions in ecology and evolution. We conducted a pilot study to investigate the challenges of collecting RNA-seq data from diverse plant communities.

We generated >650 Gbp of RNA-seq for 24 vascular plant species representing 12 genera and nine families at the Harvard Forest NEON site. read more Each species was sampled twice in 2016 (July and August). We assessed transcriptome quality and content with TransRate, BUSCO, and Gene Ontology annotations.

Only modest differences in assembly quality were observed across multiple
-mers. On average, transcriptomes contained hits to >70% of loci in the BUSCO database. We found no significant difference in the number of assembled and annotated transcripts between diploid and polyploid transcriptomes.

We provide new RNA-seq data sets for 24 species of vascular plants in Harvard Forest.
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