Transcriptome Analysis Reveals Potential Mechanisms for Ethylene-Inducible Pedicel-Fruit Abscission Zone Activation in Non-Climacteric Sweet Cherry ( L.).

The harvesting of sweet cherry ( L.) fruit is a labor-intensive process. The mechanical harvesting of sweet cherry fruit is feasible; however, it is dependent on the formation of an abscission zone at the fruit-pedicel junction.

Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry ( L.).

Identification of genetic polymorphisms and subsequent development of molecular markers is important for marker assisted breeding of superior cultivars of economically important species. Sweet cherry ( L.) is an economically important non-climacteric tree fruit crop in the Rosaceae family and has undergone a genetic bottleneck due to breeding, resulting in limited genetic diversity in the germplasm that is utilized for breeding new cultivars.

Defects in the Expression of Chloroplast Proteins Leads to HO Accumulation and Activation of Cyclic Electron Flow around Photosystem I.

We describe a new member of the class of mutants in Arabidopsis exhibiting high rates of cyclic electron flow around photosystem I (CEF), a light-driven process that produces ATP but not NADPH. High cyclic electron flow 2 () shows strongly increased CEF activity through the NADPH dehydrogenase complex (NDH), accompanied by increases in thylakoid proton motive force (), activation of the photoprotective q response, and the accumulation of HO. Surprisingly, was mapped to a non-sense mutation in the TADA1 (tRNA adenosine deaminase arginine) locus, coding for a plastid targeted tRNA editing enzyme required for efficient codon recognition.

CisSERS: Customizable In Silico Sequence Evaluation for Restriction Sites.

High-throughput sequencing continues to produce an immense volume of information that is processed and assembled into mature sequence data. Data analysis tools are urgently needed that leverage the embedded DNA sequence polymorphisms and consequent changes to restriction sites or sequence motifs in a high-throughput manner to enable biological experimentation. CisSERS was developed as a standalone open source tool to analyze sequence datasets and provide biologists with individual or comparative genome organization information in terms of presence and frequency of patterns or motifs such as restriction enzymes.