High-throughput sequencing to decipher the genetic heterogeneity of deafness

Identifying genes causing non-syndromic hearing loss has been challenging using traditional approaches. We describe the impact that high-throughput sequencing approaches are having in discovery of genes related to hearing loss and the implications for clinical diagnosis.     

Gene expression profiling reveals differential effects of sodium selenite, selenomethionine, and yeast-derived selenium in the mouse

The essential trace mineral selenium is an important determinant of oxidative stress susceptibility, with several studies showing an inverse relationship between selenium intake and cancer. Because different chemical forms of selenium have been reported to have varying bioactivity, there is a need for nutrigenomic studies that can comprehensively assess whether there are divergent effects at the molecular level. We examined the gene expression profiles associated with selenomethionine (SM), sodium selenite (SS), and yeast-derived selenium (YS) in the intestine, gastrocnemius, cerebral cortex, and liver of mice. Weanling mice were fed either a selenium-deficient (SD) diet (<0.01 mg/kg diet) or a diet supplemented with one of three selenium sources (1 mg/kg diet, as either SM, SS or YS) for 100 days. All forms of selenium were equally effective in activating standard measures of selenium status, including tissue selenium levels, expression of genes encoding selenoproteins (Gpx1 and Txnrd2), and increasing GPX1 enzyme activity. However, gene expression profiling revealed that SS and YS were similar (and distinct from SM) in both the expression pattern of individual genes and gene functional categories. Furthermore, only YS significantly reduced the expression of Gadd45b in all four tissues and also reduced GADD45B protein levels in liver. Taken together, these results show that gene expression profiling is a powerful technique capable of elucidating differences in the bioactivity of different forms of selenium.

Electronic supplementary material

The online version of this article (doi:10.1007/s12263-011-0243-9) contains supplementary material, which is available to authorized users.     

Natural product discovery through microbial genome mining

The advent of the genomic era has opened up enormous possibilities for the discovery of new natural products. Also known as specialized metabolites, these compounds produced by bacteria, fungi, and plants have long been sought for their bioactive properties. Innovations in both DNA sequencing technologies and bioinformatics now allow the wealth of sequence data to be mined at both the genome and metagenome levels for new specialized metabolites. However, a key problem that remains is rapidly and efficiently linking these identified genes to their corresponding compounds. Within this review, we provide specific examples of studies that have used the power of genomic or metagenomic data to overcome these problems and identify new small molecules and their biosynthetic pathways.     

H3Africa: An Africa exemplar? Exploring its framework on protecting human research participants

The Human Heredity and Health in Africa (H3Africa) Consortium is a conglomeration of research and infrastructure projects spread throughout Africa whose aim is to apply genomic methodology to diseases affecting the people in the region. Its operation is innovative in the sense that it is doing something new; that is, filling a hitherto existing void in genomic research capability of African scientists and infusing resources and manpower to institutions and investigators across Africa. But aside from developing and sustaining capacity in genomic research and biorepositories, H3Africa is also invested in developing appropriate ethical regulatory regime to govern research in these areas. This latter concern –research ethics governance – is the major subject of this paper. Specifically, the paper discusses protection of research participants as envisaged by H3Africa in the area of consent, safeguarding privacy, maintaining confidentiality of health information and sharing of data/biospecimens. The ultimate goal is to determine whether H3Africa initiatives and processes are consistent or at odds with international guidelines and best practices.     

Assembly and annotation of a draft genome sequence for Glycine latifolia,a perennial wild relative of soybean

Glycine latifolia (Benth.) Newell & Hymowitz (2n = 40), one of the 27 wild perennial relatives of soybean, possesses genetic diversity and agronomically favorable traits that are lacking in soybean. Here, we report the 939‐Mb draft genome assembly of G. latifolia (PI 559298) using exclusively linked‐reads sequenced from a single Chromium library. We organized scaffolds into 20 chromosome‐scale pseudomolecules utilizing two genetic maps and the Glycine max (L.) Merr. genome sequence. High copy numbers of putative 91‐bp centromere‐specific tandem repeats were observed in consecutive blocks within predicted pericentromeric regions on several pseudomolecules. No 92‐bp putative centromeric repeats, which are abundant in G. max, were detected in G. latifolia or Glycine tomentella. Annotation of the assembled genome and subsequent filtering yielded a high confidence gene set of 54 475 protein‐coding loci. In comparative analysis with five legume species, genes related to defense responses were significantly overrepresented in Glycine‐specific orthologous gene families. A total of 304 putative nucleotide‐binding site (NBS)‐leucine‐rich‐repeat (LRR) genes were identified in this genome assembly. Different from other legume species, we observed a scarcity of TIR‐NBS‐LRR genes in G. latifolia. The G. latifolia genome was also predicted to contain genes encoding 367 LRR‐receptor‐like kinases, a family of proteins involved in basal defense responses and responses to abiotic stress. The genome sequence and annotation of G. latifolia provides a valuable source of alternative alleles and novel genes to facilitate soybean improvement. This study also highlights the efficacy and cost‐effectiveness of the application of Chromium linked‐reads in diploid plant genome de novo assembly.