Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays

We present a method for automated spike sorting for recordings with high-density, large-scale multielectrode arrays. Exploiting the dense sampling of single neurons by multiple electrodes, an efficient, low-dimensional representation of detected spikes consisting of estimated spatial spike locations and dominant spike shape features is exploited for fast and reliable clustering into single units. Millions of events can be sorted in minutes, and the method is parallelized and scales better than quadratically with the number of detected spikes. Performance is demonstrated using recordings with a 4,096-channel array and validated using anatomical imaging, optogenetic stimulation, and model-based quality control. A comparison with semi-automated, shape-based spike sorting exposes significant limitations of conventional methods. Our approach demonstrates that it is feasible to reliably isolate the activity of up to thousands of neurons and that dense, multi-channel probes substantially aid reliable spike sorting

Deep sequencing reveals the complex and coordinated transcriptional regulation of genes related to grain quality in rice cultivars

<p>Abstract</p> <p>Background</p> <p>Milling yield and eating quality are two important grain quality traits in rice. To identify the genes involved in these two traits, we performed a deep transcriptional analysis of developing seeds using both massively parallel signature sequencing (MPSS) and sequencing-by-synthesis (SBS). Five MPSS and five SBS libraries were constructed from 6-day-old developing seeds of Cypress (high milling yield), LaGrue (low milling yield), Ilpumbyeo (high eating quality), YR15965 (low eating quality), and Nipponbare (control).</p> <p>Results</p> <p>The transcriptomes revealed by MPSS and SBS had a high correlation co-efficient (0.81 to 0.90), and about 70% of the transcripts were commonly identified in both types of the libraries. SBS, however, identified 30% more transcripts than MPSS. Among the highly expressed genes in Cypress and Ilpumbyeo, over 100 conserved <it>cis </it>regulatory elements were identified. Numerous specifically expressed transcription factor (TF) genes were identified in Cypress (282), LaGrue (312), Ilpumbyeo (363), YR15965 (260), and Nipponbare (357). Many key grain quality-related genes (i.e., genes involved in starch metabolism, aspartate amino acid metabolism, storage and allergenic protein synthesis, and seed maturation) that were expressed at high levels underwent alternative splicing and produced antisense transcripts either in Cypress or Ilpumbyeo. Further, a time course RT-PCR analysis confirmed a higher expression level of genes involved in starch metabolism such as those encoding ADP glucose pyrophosphorylase (AGPase) and granule bound starch synthase I (GBSS I) in Cypress than that in LaGrue during early seed development.</p> <p>Conclusion</p> <p>This study represents the most comprehensive analysis of the developing seed transcriptome of rice available to date. Using two high throughput sequencing methods, we identified many differentially expressed genes that may affect milling yield or eating quality in rice. Many of the identified genes are involved in the biosynthesis of starch, aspartate family amino acids, and storage proteins. Some of the differentially expressed genes could be useful for the development of molecular markers if they are located in a known QTL region for milling yield or eating quality in the rice genome. Therefore, our comprehensive and deep survey of the developing seed transcriptome in five rice cultivars has provided a rich genomic resource for further elucidating the molecular basis of grain quality in rice.</p

AFLP markers closely linked to a major gene essential for nucellar embryony (apomixis) in Citrus maxima × Poncirus trifoliata

Some citrus varieties express a form of apomixis termed nucellar embryony in which the adventive embryos develop from nucellus tissue surrounding the embryo sac. This trait results in many seeds containing multiple embryos (polyembryony). Inheritance of the frequency of polyembryony was studied in 88 progeny from a cross of Citrus maxima (monoembryonic) × Poncirus trifoliata (polyembryonic). The frequency of polyembryonic seed produced by each progeny was determined by scoring 100–500 seeds for the number of seedlings to emerge from each seed. Two groups of eight individuals from each extreme of the population were chosen for bulked segregant analysis with amplified fragment length polymorphism markers amplified with 256 primer combinations. Candidate markers identified in the bulks as linked to the trait were tested on the 32 individuals used to create the bulks and then on the remaining plants in the population. Five candidate markers tightly linked to polyembryony in P. trifoliata were identified. Specific marker alleles were present in nearly all progeny that produced polyembryonic seed, and alternate alleles were present in nearly all progeny that produced only monoembryonic seed. The region defined by these markers very likely contains a gene that is essential for the production of polyembryonic seeds by apomixis, but also shows segregation distortion. The proportion of polyembryonic seeds varied widely among the hybrid progeny, probably due to other genes. Scoring 119 progeny of a P. trifoliata selfed population for the closely linked markers and the proportion of polyembryonic seeds confirmed close linkage between these markers and polyembryony