A Rubber Band Around an Atlantic Croaker

A rubber band permanently girdled an Atlantic croaker, Micropogon undulatus, resulting in considerable malformation and pathological alterations of the fish. On 12 July 1973 at Graveline Bayou, Jackson County, Mississippi, Mrs. Buster Blades caught on hook and line a 175 mm standard length (102.1 g) croaker that she immediately separated from the rest of her catch as a suspected parasitized fish. Later upon closer examination, she realized that a rubber band encircled the fish, and so she brought the fish to us. The band had deformed the prepelvic isthmus, restricted movement of the pectoral fins, and permanently encircled the fish through a hole in the dorsum. Much of the elasticity was lost, but the band was entire and free to rotate through the perforation below the first dorsal fin. The tissue above the perforation, including the tissue of the dorsal fin, was complete and not severed, although several scales were regenerated. These observations, in addition to the malformed ventral area, suggest a lengthy association between band and fish.

Heligmosomoides johnsoni sp. nov. (Nematoda: Heligmosomatidae) from the Heather Vole, Phenacomys intermedius Merriam

Heligmosomoides johnsoni sp. noy. is described from the cecum of the heather vole, Phenacomys intermedius Merriam, from the Olympic Mountains, Washington. The absence of longitudinal cuticular ridges dorsally separates H. johnsoni from species of Heligmosomoides other than H. hudsoni (Cameron, 1937), which occurs in varying lemmings, Dicrostonyx spp., and from which H. johnsoni is distinguished by its longer spicules, form of the dorsal ray, and other characters. Both Phenacomys and Dicrostonyx have a specialized cecum, with long villi around which the nematodes are found tightly coiled. The zoogeography of heligmosomid nematodes in Phenacomys is briefly discussed. French abstract: On décrit Heligmosomoides johnsoni sp. nov. parasite du caecum du rongeur néarctique, Phenacomys intermedius Merriam, des Montagnes Olympiques de Washington. L'absence de crêtes cuticulaires sur la face dorsaIe sépare H. johnsoni des autres Heligmosomoides à I'exception d'H. hudsoni (Cameron, 1937) qui se trouve chez Dicrostonyx spp., et duquel H. johnsoni se distingue par ses spicules plus longs, par la forme différente de la côte dorsale et par d'autres caractères. Phenacomys et Dicrostonyx ont un caecum spécialisé, muni de villosités allongées, autour desquelles les nématodes s'enroulent étroitement. La zoogéographie des nematodes héligmosomes chez Phenacomys est discutée.

Genetic Mapping of Quantitative Trait Loci Associated with Bioenergy Traits, and The Assessment of Genetic Variability in Sweet Sorghum (Sorghum bicolor (L.). Moench)

Sweet sorghum, a botanical variety of sorghum is a potential source of bioenergy because high sugar levels accumulate in its stalks. The objectives of this study were to explore the global diversity of sweet sorghum germplasm, and map the genomic regions that are associated with bioenergy traits. In assessing diversity, 142 sweet sorghum accessions were evaluated with three marker types (SSR, SRAP, and morphological markers) to determine the degree of relatedness among the accessions. The traits measured (anthesis date [AD], plant height [PH], biomass yield [BY], and moisture content [MC]) were all significantly different (P<0.05) among accessions. Morphological marker clustered the accessions into five groups based on PH, MC and AD. The three traits accounted for 92.5% of the variation. There were four and five groups based on SRAP and SSR data respectively classifying accessions mainly on their origin or breeding history. The observed difference between SSR and SRAP based clusters could be attributed to the difference in marker type. SSRs amplify any region of the genome whereas SRAP amplify the open reading frames and promoter regions. Comparing the three marker-type clusters, the markers complimented each other in grouping accessions and would be valuable in assisting breeders to select appropriate lines for crossing. In evaluating QTLs that are associated with bioenergy traits, 165 recombinant inbred lines (RILs) were planted at four environments in Nebraska. A genetic linkage map constructed spanned a length of 1541.3 cM, and generated 18 linkage groups that aligned to the 10 sorghum chromosomes. Fourteen QTLs (6 for brix, 3 for BY, 2 each for AD and MC, and 1 for PH) were mapped. QTLs for the traits that were significantly correlated, colocalized in two clusters on linkage group Sbi01b. Both parents contributed beneficial alleles for most of traits measured, supporting the transgressive segregation in this population. Additional work is needed on exploiting the usefulness of chromosome 1 in breeding sorghum for bioenergy.

Generalizing the dynamic field theory of spatial cognition across real and developmental time scales

Within cognitive neuroscience, computational models are designed to provide insights into the organization of behavior while adhering to neural principles. These models should provide sufficient specificity to generate novel predictions while maintaining the generality needed to capture behavior across tasks and/or time scales. This paper presents one such model, the Dynamic Field Theory (DFT) of spatial cognition, showing new simulations that provide a demonstration proof that the theory generalizes across developmental changes in performance in four tasks—the Piagetian A-not-B task, a sandbox version of the A-not-B task, a canonical spatial recall task, and a position discrimination task. Model simulations demonstrate that the DFT can accomplish both specificity—generating novel, testable predictions—and generality—spanning multiple tasks across development with a relatively simple developmental hypothesis. Critically, the DFT achieves generality across tasks and time scales with no modification to its basic structure and with a strong commitment to neural principles. The only change necessary to capture development in the model was an increase in the precision of the tuning of receptive fields as well as an increase in the precision of local excitatory interactions among neurons in the model. These small quantitative changes were sufficient to move the model through a set of quantitative and qualitative behavioral changes that span the age range from 8 months to 6 years and into adulthood. We conclude by considering how the DFT is positioned in the literature, the challenges on the horizon for our framework, and how a dynamic field approach can yield new insights into development from a computational cognitive neuroscience perspective.