DNA is structured as a linear "jigsaw puzzle" in the genomes of Arabidopsis, rice, and budding yeast.

Knowledge of how a genome is structured and organized from its constituent elements is crucial to understanding its biology and evolution. Here, we report the genome structuring and organization pattern as revealed by systems analysis of the sequences of three model species, Arabidopsis, rice and yeast, at the whole-genome and chromosome levels. We found that all fundamental function elements (FFE) constituting the genomes, including genes (GEN), DNA transposable elements (DTE), retrotransposable elements (RTE), simple sequence repeats (SSR), and (or) low complexity repeats (LCR), are structured in a nonrandom and correlative manner, thus leading to a hypothesis that the DNA of the species is structured as a linear "jigsaw puzzle". Furthermore, we showed that different FFE differ in their importance in the formation and evolution of the DNA jigsaw puzzle structure between species. DTE and RTE play more important roles than GEN, LCR, and SSR in Arabidopsis, whereas GEN and RTE play more important roles than LCR, SSR, and DTE in rice. The genes having multiple recognized functions play more important roles than those having single functions. These results provide useful knowledge necessary for better understanding genome biology and evolution of the species and for effective molecular breeding of rice.

Identification and characterization of a repertoire of genes differentially expressed in developing top ear shoots between a superior hybrid and its parental inbreds in Zea mays L.

Heterosis has been widely used in crop breeding and production; however, little is known about the genes controlling trait heterosis. The shortage of genes known to function in heterosis significantly limits our understanding of the molecular basis underlying heterosis. Here, we report 748 genes differentially expressed (DG) in the developing top ear shoots between a maize heterotic F1 hybrid (Mo17 × B73) and its parental inbreds identified using maize microarrays containing 28,608 unigene features. Of the 748 DG, over 600 were new for the inbred and hybrid combination. The DG were enriched for 35 of the total 213 maize gene ontology (GO) terms, including those describing photosynthesis, respiration, DNA replication, metabolism, and hormone biosynthesis. From the DG, we identified six genes involved in glycolysis, three genes in the citrate cycle, and four genes in the C4-dicarboxylic acid cycle. We mapped 533 of the 748 DG to the maize B73 genome, 298 (55.9 %) of which mapped to the QTL intervals of 11 maize ear traits. Moreover, we compared the repertoire of the DG with that of 14-day seedlings of the same inbred and hybrid combination. Only approximately 5 % of the DG was shared between the two organs and developmental stages. Furthermore, we mapped 417 (55.7 %) of the 748 maize DG to the QTL intervals of 26 rice yield-related traits. Therefore, this study provides a repertoire of genes useful for identification of genes involved in maize ear trait heterosis and information for a better understanding of the molecular basis underlying heterosis in maize.

A comparative physical map reveals the pattern of chromosomal evolution between the turkey (Meleagris gallopavo) and chicken (Gallus gallus) genomes.

BACKGROUND: A robust bacterial artificial chromosome (BAC)-based physical map is essential for many aspects of genomics research, including an understanding of chromosome evolution, high-resolution genome mapping, marker-assisted breeding, positional cloning of genes, and quantitative trait analysis. To facilitate turkey genetics research and better understand avian genome evolution, a BAC-based integrated physical, genetic, and comparative map was developed for this important agricultural species. RESULTS: The turkey genome physical map was constructed based on 74,013 BAC fingerprints (11.9 × coverage) from two independent libraries, and it was integrated with the turkey genetic map and chicken genome sequence using over 41,400 BAC assignments identified by 3,499 overgo hybridization probes along with > 43,000 BAC end sequences. The physical-comparative map consists of 74 BAC contigs, with an average contig size of 13.6 Mb. All but four of the turkey chromosomes were spanned on this map by three or fewer contigs, with 14 chromosomes spanned by a single contig and nine chromosomes spanned by two contigs. This map predicts 20 to 27 major rearrangements distinguishing turkey and chicken chromosomes, despite up to 40 million years of separate evolution between the two species. These data elucidate the chromosomal evolutionary pattern within the Phasianidae that led to the modern turkey and chicken karyotypes. The predominant rearrangement mode involves intra-chromosomal inversions, and there is a clear bias for these to result in centromere locations at or near telomeres in turkey chromosomes, in comparison to interstitial centromeres in the orthologous chicken chromosomes. CONCLUSION: The BAC-based turkey-chicken comparative map provides novel insights into the evolution of avian genomes, a framework for assembly of turkey whole genome shotgun sequencing data, and tools for enhanced genetic improvement of these important agricultural and model species.

A BAC/BIBAC-based physical map of chickpea, Cicer arietinum L.

BACKGROUND: Chickpea (Cicer arietinum L.) is the third most important pulse crop worldwide. Despite its importance, relatively little is known about its genome. The availability of a genome-wide physical map allows rapid fine mapping of QTL, development of high-density genome maps, and sequencing of the entire genome. However, no such a physical map has been developed in chickpea. RESULTS: We present a genome-wide, BAC/BIBAC-based physical map of chickpea developed by fingerprint analysis. Four chickpea BAC and BIBAC libraries, two of which were constructed in this study, were used. A total of 67,584 clones were fingerprinted, and 64,211 (~11.7 x) of the fingerprints validated and used in the physical map assembly. The physical map consists of 1,945 BAC/BIBAC contigs, with each containing an average of 28.3 clones and having an average physical length of 559 kb. The contigs collectively span approximately 1,088 Mb. By using the physical map, we identified the BAC/BIBAC contigs containing or closely linked to QTL4.1 for resistance to Didymella rabiei (RDR) and QTL8 for days to first flower (DTF), thus further verifying the physical map and confirming its utility in fine mapping and cloning of QTL. CONCLUSION: The physical map represents the first genome-wide, BAC/BIBAC-based physical map of chickpea. This map, along with other genomic resources previously developed in the species and the genome sequences of related species (soybean, Medicago and Lotus), will provide a foundation necessary for many areas of advanced genomics research in chickpea and other legume species. The inclusion of transformation-ready BIBACs in the map greatly facilitates its utility in functional analysis of the legume genomes.

A new scalable method for the purification of recombinant adenovirus vectors.

Recombinant adenovirus vectors continue to be the preferred vectors for many types of gene therapy. However, issues regarding production and safety as well as the development of a scalable process for these vectors remain a challenge. Additionally, any process must address the well-documented immune and toxicologic responses to these vectors. Some alternatives to classic CsCl-gradient purification based on column chromatography have been developed, but these first-generation processes are still limited in potential application. We report the development of a tandem column chromatography process incorporating two resins; anion-exchange and PolyFlo (Puresyn, Inc., Malvern, PA). PolyFlo is used in a novel manner as a polishing step to remove additional host and viral proteins not removed by the anion-exchange capture step. By using the beta-galactosidase reporter vector, H5.CMV-lacZ, the purity of the product is improved compared to the same vector purified by 2x CsCl or anion-exchange alone as determined by high-performance liquid chromatography (HPLC), sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE; silver stain), Western analysis, electron microscopy, and particle:infectious (VP:IU) unit ratio. The recovery over the entire process is significantly better than 2x CsCl and higher than other first-generation tandem chromatography processes. This new process is reproducible and scalable to 10(15) input viral particles per run. Furthermore, the purified adenovirus product remains intact after multiple freeze/thaw cycles and is stable at 4 degrees C, -20 degrees C, and -75 degrees C. The process described here permits purification of adenovirus particles at a high concentration at large scale without centrifugation.

Genome physical mapping of polyploids: a BIBAC physical map of cultivated tetraploid cotton, Gossypium hirsutum L.

Polyploids account for approximately 70% of flowering plants, including many field, horticulture and forage crops. Cottons are a world-leading fiber and important oilseed crop, and a model species for study of plant polyploidization, cellulose biosynthesis and cell wall biogenesis. This study has addressed the concerns of physical mapping of polyploids with BACs and/or BIBACs by constructing a physical map of the tetraploid cotton, Gossypium hirsutum L. The physical map consists of 3,450 BIBAC contigs with an N50 contig size of 863 kb, collectively spanning 2,244 Mb. We sorted the map contigs according to their origin of subgenome, showing that we assembled physical maps for the A- and D-subgenomes of the tetraploid cotton, separately. We also identified the BIBACs in the map minimal tilling path, which consists of 15,277 clones. Moreover, we have marked the physical map with nearly 10,000 BIBAC ends (BESs), making one BES in approximately 250 kb. This physical map provides a line of evidence and a strategy for physical mapping of polyploids, and a platform for advanced research of the tetraploid cotton genome, particularly fine mapping and cloning the cotton agronomic genes and QTLs, and sequencing and assembling the cotton genome using the modern next-generation sequencing technology.