Whole-genome Projects Research Articles

The Draft Genome of the Centric Diatom Conticribra weissflogii (Coscinodiscophyceae, Ochrophyta)

Here, we present a 231 Mb draft genome of the centric diatom Conticribra weissflogii CCMP1336. Comparative genomics of C. weissflogii and other Ochrophyta support the existence of unique carbon-concentrating mechanisms and chitin metabolic processes in diatoms. The whole-genome project is available at CNSA (https://db.cngb.org/search/project/CNP0001903/).

Molluscan phylogenomics requires strategically selected genomes.

The extraordinary diversity in molluscan body plans, and the genomic mechanisms that enable it, remains one of the great questions of evolution. The eight distinct living taxonomic classes of molluscs are each unambiguously monophyletic; however, significant controversy remains about the phylogenetic relationships among those eight branches. Molluscs are the second-largest animal phylum, with over 100 000 living species with broad biological, economic and medical interest. To date, only around 53 genome assemblies have been accessioned to NCBI GenBank covering only four of the eight living molluscan classes. Furthermore, the molluscan taxa where partial or whole-genome assemblies are available are often aberrantly fast evolving or recently derived lineages. Characteristic adaptations provide interesting targets for whole-genome projects, in animals like the scaly-foot snail or octopus, but without basal-branching lineages for comparison, the context of recently derived features cannot be assessed. The currently available genomes also create a non-optimal set of taxa for resolving deeper phylogenetic branches: they are a small sample representing a large group, and those that are available come primarily from a rarefied pool. Thoughtful selection of taxa for future projects should focus on the blank areas of the molluscan tree, which are ripe with opportunities to delve into peculiarities of genome evolution, and reveal the biology and evolutionary history of molluscs. This article is part of the Theo Murphy meeting issue 'Molluscan genomics: broad insights and future directions for a neglected phylum'.

Eikenella exigua sp. nov., isolated from brain abscess and blood.

We herein describe the first novel species within the genus Eikenella since it was established in 1972 by the reclassification of 'Bacteroides corrodens' to Eikenella corrodens. From a polymicrobial brain abscess, we encountered an Eikenella isolate, PXXT, that could not validly be named E. corrodens. The isolate grew on blood agar with small, translucent, pitting colonies after 3 days of anaerobic incubation. By reviewing previously collected invasive isolates, we found an additional Eikenella strain, EI-02, from a blood culture exhibiting the same properties as PXXT. Phylogenetic analyses based on both whole genome and individual house-keeping genes confirmed that the two strains allocate in a phylogenetic cluster separate from E. corrodens. Using specific amplification and sequencing of the Eikenella nusG gene, we further detected the novel Eikenella species in six historic brain abscesses previously reported to contain E. corrodens based on 16S metagenomics. Out of 24 Eikenella whole-genome projects available in GenBank, eight cluster together with PXXT and EI-02. These isolates were recovered from brain abscess (n=2), blood (n=1), bone/soft tissue (n=3), parotid gland (n=1) and unknown (n=1). It remains to be investigated whether the new species can cause endocarditis. The average nucleotide identity value between strain PXXT and the E. corrodens type strain ATCC 23834T was 92.1 % and the corresponding genome-to-genome distance value was 47.1 %, both supporting the classification of PXXT as a novel species. For this species we propose the name Eikenella exigua. The type strain of E. exigua is PXXT (DSM 109756T, NCTC 14318T).

The Draft Genome of the Small, Spineless Green Alga Desmodesmus costato-granulatus (Sphaeropleales, Chlorophyta)

Desmodesmus costato-granulatus (Skuja) Hegewald 2000 (Sphaeropleales, Chlorophyta) is a small, spineless green alga that is abundant in the freshwater phytoplankton of oligo- to eutrophic waters worldwide. It has a high lipid content and is considered for sustainable production of diverse compounds, including biofuels. Here, we report the draft whole-genome shotgun sequencing of D. costato-granulatus strain SAG 18.81. The final assembly comprises 48,879,637bp with over 4,141 scaffolds. This whole-genome project is publicly available in the CNSA (https://db.cngb.org/cnsa/) of CNGBdb under the accession number CNP0000701.

The Draft Genome of Hariotina reticulata (Sphaeropleales, Chlorophyta) Provides Insight into the Evolution of Scenedesmaceae

Hariotina reticulata P. A. Dangeard 1889 (Sphaeropleales, Chlorophyta) is a common member of the summer phytoplankton of meso- to highly eutrophic water bodies with a worldwide distribution. Here, we report the draft whole-genome shotgun sequencing of H. reticulata strain SAG 8.81. The final assembly comprises 107,596,510bp with over 15,219 scaffolds (>100bp). This whole-genome project is publicly available in the CNSA (https://db.cngb.org/cnsa/) of CNGBdb under the accession number CNP0000705.

Improved Multiplex PCR Strategy for Rapid Assignment of the Four Major Escherichia coli Phylogenetic Groups

Using data from whole-genome projects, an updated multiplex PCR strategy was developed to assign Escherichia coli isolates rapidly to major phylogenetic groups. This assay accommodates sequence variations detected within target sequences, thereby increasing sensitivity and reliability. It was validated using 185 isolates of known sequence types and showed improved congruence with multilocus sequence typing data.

Gene duplication and the origins of morphological complexity in pancrustacean eyes, a genomic approach

BackgroundDuplication and divergence of genes and genetic networks is hypothesized to be a major driver of the evolution of complexity and novel features. Here, we examine the history of genes and genetic networks in the context of eye evolution by using new approaches to understand patterns of gene duplication during the evolution of metazoan genomes. We hypothesize that 1) genes involved in eye development and phototransduction have duplicated and are retained at higher rates in animal clades that possess more distinct types of optical design; and 2) genes with functional relationships were duplicated and lost together, thereby preserving genetic networks. To test these hypotheses, we examine the rates and patterns of gene duplication and loss evident in 19 metazoan genomes, including that of Daphnia pulex - the first completely sequenced crustacean genome. This is of particular interest because the pancrustaceans (hexapods+crustaceans) have more optical designs than any other major clade of animals, allowing us to test specifically whether the high amount of disparity in pancrustacean eyes is correlated with a higher rate of duplication and retention of vision genes.ResultsUsing protein predictions from 19 metazoan whole-genome projects, we found all members of 23 gene families known to be involved in eye development or phototransduction and deduced their phylogenetic relationships. This allowed us to estimate the number and timing of gene duplication and loss events in these gene families during animal evolution. When comparing duplication/retention rates of these genes, we found that the rate was significantly higher in pancrustaceans than in either vertebrates or non-pancrustacean protostomes. Comparing patterns of co-duplication across Metazoa showed that while these eye-genes co-duplicate at a significantly higher rate than those within a randomly shuffled matrix, many genes with known functional relationships in model organisms did not co-duplicate more often than expected by chance.ConclusionsOverall, and when accounting for factors such as differential rates of whole-genome duplication in different groups, our results are broadly consistent with the hypothesis that genes involved in eye development and phototransduction duplicate at a higher rate in Pancrustacea, the group with the greatest variety of optical designs. The result that these genes have a significantly high number of co-duplications and co-losses could be influenced by shared functions or other unstudied factors such as synteny. Since we did not observe co-duplication/co-loss of genes for all known functional modules (e.g. specific regulatory networks), the interactions among suites of known co-functioning genes (modules) may be plastic at the temporal scale of analysis performed here. Other factors in addition to gene duplication - such as cis-regulation, heterotopy, and co-option - are also likely to be strong factors in the diversification of eye types.

Animal Markers Assisted Selection in South America: A Point of View

Genetic identification has been continuously evolving during the last century. The recent development of whole-genome projects allowed the discovery and characterization of a large number of single nucleotide polymorphisms (SNP). A number of high-throughput DNA methods has decreased the cost of DNA marker analysis and increased the amount of samples that can be processed at a time. Using this information and methods, many private and governmental laboratories offer a wide range of genetic tests, many of which have been patented. In the field of genetic resources, a significant amount of law-making has been developed at the international and regional levels. Many South American countries currently lack jurisprudence in relation to the protection of DNA sequences. In this paper, we compared laws related with life-form patents in some countries from South America. Nowadays, the knowledge and technology leveling of many of these countries allows marker assisted selection (MAS) programs to be applied. Herein, we resume the economical value of MAS. Finally, we present a point of view on the pertinence, viability and conditions for developing and applying MAS programs in South America.

Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure

Disulfide bonds are primary covalent crosslinks between two cysteine residues in proteins that play critical roles in stabilizing the protein structures and are commonly found in extracy-toplasmatic or secreted proteins. In protein folding prediction, the localization of disulfide bonds can greatly reduce the search in conformational space. Therefore, there is a great need to develop computational methods capable of accurately predicting disulfide connectivity patterns in proteins that could have potentially important applications. We have developed a novel method to predict disulfide connectivity patterns from protein primary sequence, using a support vector regression (SVR) approach based on multiple sequence feature vectors and predicted secondary structure by the PSIPRED program. The results indicate that our method could achieve a prediction accuracy of 74.4% and 77.9%, respectively, when averaged on proteins with two to five disulfide bridges using 4-fold cross-validation, measured on the protein and cysteine pair on a well-defined non-homologous dataset. We assessed the effects of different sequence encoding schemes on the prediction performance of disulfide connectivity. It has been shown that the sequence encoding scheme based on multiple sequence feature vectors coupled with predicted secondary structure can significantly improve the prediction accuracy, thus enabling our method to outperform most of other currently available predictors. Our work provides a complementary approach to the current algorithms that should be useful in computationally assigning disulfide connectivity patterns and helps in the annotation of protein sequences generated by large-scale whole-genome projects. The prediction web server and Supplementary Material are accessible at http://foo.maths.uq.edu.au/~huber/disulfide

Calculations of exergy for organisms

Exergy estimations based on biomass and information for organisms can with good approximation be found as: Ex = βc, where c is the concentration of biomass and β the weighting factor, that accounts for the information that the organisms carry [Jørgensen, S.E., 2002. Integration of Ecosystem Theories: A Pattern, vol. 432, 3rd ed. Kluwer Academic Publishing Company, Dordrecht, The Netherlands]. The determination of β for various organisms has been based on the number of coding genes, but recent research has shown that some of the non-coding genes are crucial for the control, maintenance and development of the organisms. The results [Eichler, E.E., Sankoff, D., 2003. Structural dynamics of eukaryotic chromosome evolution. Science 301, 793–797.] of ongoing whole-genome projects have therefore be applied in order to obtain more accurate β-values. These new β-values are several times bigger than the previously applied values. The number of amino acids coding per gene has probably been underestimated in the previous calculations. However, applications of the former values, for instance in ecosystem health assessment, where exergy is used as ecological indicator (referred as exergy index) and in the development of structurally dynamic models, are still valid. Because the exergy calculations were applied only as relative measures. This paper presents several indirect methods to determine β-values. It is shown that the β-values are well correlated to the age of the organisms (mya), to the number of cell types, to the minimum DNA-content, to the ratio non-coding genes versus total number of genes [Mattick, J.S., 2003. Challenging the dogma: the hidden layer of non-protein-coding RNAs in complex organisms. Bioassays 25, 930–939.] and to the β-values, determined by Fonseca et al. on basis of the total amount of DNA. Indirect determinations were therefore able to expand and improve the previous list of β-values. The previous list had only 19 values, while the list based on the whole-genome project has 16 β-values. The expanded list presented in this paper contains 56 β-values. To reduce the uncertainty of the values, although assuming an apparent loss of discriminating power, it was decided to lump some organisms together in one group when it was know from the evolutionary tree that the organisms were closely related. It implies that the averages of β-values determined by different methods were applied, which should give a higher certainty. The result is a list with 45 β-values, that hopefully will improve the use of β-values to calculate the exergy for assessment of ecosystem health and for the development of structurally dynamic models.