A bacterial artificial chromosome library for Biomphalaria glabrata, intermediate snail host of Schistosoma mansoni

To provide a novel resource for analysis of the genome of Biomphalaria glabrata, members of the international Biomphalaria glabrata Genome Initiative (biology.unm.edu/biomphalaria-genome.html), working with the Arizona Genomics Institute (AGI) and supported by the National Human Genome Research Institute (NHGRI), produced a high quality bacterial artificial chromosome (BAC) library. The BB02 strain B. glabrata, a field isolate (Belo Horizonte, Minas Gerais, Brasil) that is susceptible to several strains of Schistosoma mansoni, was selfed for two generations to reduce haplotype diversity in the offspring. High molecular weight DNA was isolated from ovotestes of 40 snails, partially digested with HindIII, and ligated into pAGIBAC1 vector. The resulting B. glabrata BAC library (BG_BBa) consists of 61824 clones (136.3 kb average insert size) and provides 9.05 × coverage of the 931 Mb genome. Probing with single/low copy number genes from B. glabrata and fingerprinting of selected BAC clones indicated that the BAC library sufficiently represents the gene complement. BAC end sequence data (514 reads, 299860 nt) indicated that the genome of B. glabrata contains ~ 63% AT, and disclosed several novel genes, transposable elements, and groups of high frequency sequence elements. This BG_BBa BAC library, available from AGI at cost to the research community, gains in relevance because BB02 strain B. glabrata is targeted whole genome sequencing by NHGRI.

Estudo taxonômico de Leschenaultia Robineau-Desvoidy (Diptera, Tachinidae)

Taxonomic study of Leschenaultia Robineau-Desvoidy (Diptera, Tachinidae). The genus Leschenaultia Robineau-Desvoidy, 1830 is redescribed. Two genera are considered as its junior synonyms: Echinomasicera Townsend, 1915 syn. nov. and Parachaetopsis Blanchard, 1959 syn. nov. Thirty two especies are treated, as follows: 18 described as new, Leschenaultia aldrichi, sp. nov. (Brazil, Santa Catarina), L. arnaudi sp. nov. (Haiti, La Salle), L. bergenstammi sp. nov. (Peru, San Martin), L. bessi sp. nov. (Brazil, Santa Catarina), L. bigoti sp. nov. (Peru, Huanuco), L. blanchardi sp. nov. (Equador, Cuenca), L. braueri sp. nov. (Brazil, Mato Grosso), L. brooksi sp. nov. (Brazil, Rio de Janeiro), L. coquilletti sp. nov. (Brazil, Santa Catarina); L. cortesi sp. nov. (Venezuela, Maracay), L. currani sp. nov. (Brazil, São Paulo), L. loewi sp. nov. (Mexico, Vera Cruz), L. macquarti sp. nov. (U. S. A., Arizona), L. reinhardi sp. nov. (Canada, Quebec), L. sabroskyi sp. nov. from (U. S. A., California), L. schineri sp. nov. (U. S. A., California), L. thompsoni sp. nov. (Mexico, Mexico City), L. townsendi sp. nov. (Mexico, Puebla), and 14 known species, for these, diagnoses are given: L. adusta (Loew, 1872); L. americana (Brauer & Bergenstamm, 1893); L. bicolor (Macquart, 1846) = L. fusca (Townsend, 1916) syn. nov.; = Parachaetopsis proseni Blanchard, 1959 syn. nov.; L. ciliata (Macquart, 1848); L. exul (Townsend, 1892); L. fulvipes (Bigot, 1887); L. grossa Brooks, 1947; L. halisidotae Brooks, 1947; L. hospita Reinhard, 1952; L. hystrix (Townsend, 1915) comb. nov., L. jurinioides (Townsend, 1895); L. leucophrys (Wiedemann, 1830) = Leschenaultia latifrons (Walker, 1852) syn. nov. = Parachaeta nigricalyptrata (Macquart, 1855) syn. nov.; L. montagna (Townsend, 1912); L. nuda Thompson, 1963. One species was not examined, Leschenaultia nigrisquamis (Townsend, 1892), and two were not recognized, L. trichopsis (Bigot, 1887) and L. hirta Robineau-Desvoidy, 1830. Keys for Nearctic and Neotropical species (only for males) are provided, as well as geographical distribution and illustrations for each species.

Estimation of surface roughness in a semiarid region from C-band ERS-1 synthetic aperture radar data

In this study, we investigated the feasibility of using the C-band European Remote Sensing Satellite (ERS-1) synthetic aperture radar (SAR) data to estimate surface soil roughness in a semiarid rangeland. Radar backscattering coefficients were extracted from a dry and a wet season SAR image and were compared with 47 in situ soil roughness measurements obtained in the rocky soils of the Walnut Gulch Experimental Watershed, southeastern Arizona, USA. Both the dry and the wet season SAR data showed exponential relationships with root mean square (RMS) height measurements. The dry C-band ERS-1 SAR data were strongly correlated (R² = 0.80), while the wet season SAR data have somewhat higher secondary variation (R² = 0.59). This lower correlation was probably provoked by the stronger influence of soil moisture, which may not be negligible in the wet season SAR data. We concluded that the single configuration C-band SAR data is useful to estimate surface roughness of rocky soils in a semiarid rangeland.

Resposta espectral de solos em razão do ângulo de visada, da umidade e da rugosidade superficial

Este trabalho teve por objetivo avaliar as variações do fator de refletância bidirecional (FRB) de três séries de solo (McAllister, Stronghold e Epitaph) da microbacia experimental de Walnut Gulch (Arizona, EUA) em razão do ângulo de visada, da rugosidade superficial e do teor de umidade. Foram consideradas as faixas espectrais do visível e do infravermelho próximo e médio presentes no sensor TM, e os resultados foram expressos em termos de FRB em relação à resposta no Nadir (FRB relativo). O anisotropismo variou de solo para solo e foi maior nas menores faixas espectrais, nos ângulos de visada maiores localizados na direção do retroespalhamento, nos ângulos solar-zenitais maiores, e na condição de solo seco. No solo Epitaph (único solo submetido ao estudo de rugosidade) o anisotropismo foi também maior na superfície mais rugosa. Entretanto, uma melhor diferenciação entre as superfícies lisa e rugosa do solo Epitaph foi obtida na direção do espalhamento da energia refletida. Diferenças na escala e nos métodos de obtenção dos dados são apontadas como causas do realce do comportamento anisotrópico dos dados obtidos em condições de laboratório, em comparação com os dados de campo.