Improved annotation of the insect vector of citrus greening disease: Biocuration by a diverse genomics community

The Asian citrus psyllid (Diaphorina citri Kuwayama) is the insect vector of the bacterium Candidatus Liberibacter asiaticus (CLas), the pathogen associated with citrus Huanglongbing (HLB, citrus greening). HLB threatens citrus production worldwide. Suppression or reduction of the insect vector using chemical insecticides has been the primary method to inhibit the spread of citrus greening disease. Accurate structural and functional annotation of the Asian citrus psyllid genome, as well as a clear understanding of the interactions between the insect and CLas, are required for development of new molecular-based HLB control methods. A draft assembly of the D. citri genome has been generated and annotated with automated pipelines. However, knowledge transfer from well-curated reference genomes such as that of Drosophila melanogaster to newly sequenced ones is challenging due to the complexity and diversity of insect genomes. To identify and improve gene models as potential targets for pest control, we manually curated several gene families with a focus on genes that have key functional roles in D. citri biology and CLas interactions. This community effort produced 530 manually curated gene models across developmental, physiological, RNAi regulatory and immunity-related pathways. As previously shown in the pea aphid, RNAi machinery genes putatively involved in the microRNA pathway have been specifically duplicated. A comprehensive transcriptome enabled us to identify a number of gene families that are either missing or misassembled in the draft genome. In order to develop biocuration as a training experience, we included undergraduate and graduate students from multiple institutions, as well as experienced annotators from the insect genomics research community. The resulting gene set (OGS v1.0) combines both automatically predicted and manually curated gene models.Peer reviewedBiochemistry and Molecular BiologyEntomology and Plant Patholog

Spanish and English Early Literacy Profiles of Preschool Latino English Language Learner Children

Research Findings: The purpose of this study was to examine within-group individual differences in the code-related and oral language abilities of an economically stressed Spanish-speaking English language learner (ELL) preschool sample and to evaluate the predictive relationship of these differences to later listening comprehension. Latent class analysis was used to identify similarities in both the latent and outcome variables to form classes of students with similar profiles on the measured variables. Our 1st finding confirmed the existence of 4 distinct psychometrically validated profiles: (a) Low English Language, Average Spanish Language, Mixed Spanish Code-Related (prevalence 19.4%); (b) Average English Language, Strengths in Spanish Language and Spanish Code-Related (24.2%); (c) Mixed English and Spanish Language, Low Spanish Code-Related (prevalence 34%); and (d) High English Language, Average Spanish Language, Mixed Spanish Code-Related (prevalence 22%). The resulting profiles demonstrated that English and Spanish code- and language-related domains of emergent literacy developed unevenly across the Spanish-speaking ELL preschoolers. Relative strengths and weaknesses in code- and language-related skills were also found to be meaningfully related to end-of-year listening comprehension—a precursor to reading comprehension. Finally, profiles yielded meaningful variability along sociodemographic variables. Practice or Policy: Implications, limitations, and directions for future research are discussed