Irmtraud M. Meyer

Follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) are the two most common non-Hodgkin lymphomas (NHLs). Here we sequenced tumour and matched normal DNA from 13 DLBCL cases and one FL case to identify genes with mutations in B-cell NHL. We analysed RNA-seq data from these and another 113 NHLs to identify genes with candidate mutations, and then re-sequenced tumour and matched normal DNA from these cases to confirm 109 genes with multiple somatic mutations. Genes with roles in histone modification were frequent targets of somatic mutation. For example, 32% of DLBCL and 89% of FL cases had somatic mutations in MLL2, which encodes a histone methyltransferase, and 11.4% and 13.4% of DLBCL and FL cases, respectively, had mutations in MEF2B, a calcium-regulated gene that cooperates with CREBBP and EP300 in acetylating histones. Our analysis suggests a previously unappreciated disruption of chromatin biology in lymphomagenesis. Despite being a focus of research activity for many years, the mutations driving the two most common non-Hodgkin lymphomas — follicular lymphoma and diffuse large B-cell lymphoma — have remained cryptic. Whole genome sequencing, combined with transcriptome analysis and further resequencing of candidate genes in additional tumours, now show that histone methyltransferases and acetylases are frequently affected by mutations in these tumours. This study suggests a previously unappreciated importance of chromatin biology in lymphomagenesis.

Four distinct Plasmodium species are known to regularly infect humans: Plasmodium falciparum, P. vivax, P. malariae and P. ovale. The genome sequence of P. falciparum, the cause of the most severe type of human malaria, was completed in 2002 at the same time as the mosquito vector, Anopheles gambiae. In this week's Nature, which focuses on the malaria parasite, two further malaria genome sequences are described. First that of P. vivax, which contributes significant numbers to malaria incidence in humans, though in contrast to P. falciparum, the resulting disease is usually not fatal. The genome of this rather neglected species is presented together with a comparative analysis with the genomes of other Plasmodium species. Second, we publish the genome sequence of Plasmodium knowlesi. For long regarded as a monkey malaria parasite, it is increasingly becoming recognized as the fifth human-infecting Plasmodium species. In particular, it is prevalent in South East Asia where it is often misdiagnosed as another human malaria parasite P. malariae. As a model organism P. knowlesi stands out: not only is it a primate system, useful for work on vaccines, but it can be cultured in vitro and subjected to efficient transfection and gene knockouts. In a Review Article, Elizabeth Winzeler considers the progress made towards using the genome sequence to understand basic malaria parasite biology, and in particular the work on developing rational therapeutic approaches to combat P. falciparum infections. See also the Editorial. For a comprehensive collection of resources visit Nature's past malaria specials: Malaria killer blow ; Outlook on malaria ; Malaria web focus ; Malaria Insight ; Nature Medicine focus on malaria ; Focus on malaria Plasmodium knowlesi is an intracellular malaria parasite whose natural vertebrate host is Macaca fascicularis (the ‘kra’ monkey); however, it is now increasingly recognized as a significant cause of human malaria, particularly in southeast Asia1,2. Plasmodium knowlesi was the first malaria parasite species in which antigenic variation was demonstrated3, and it has a close phylogenetic relationship to Plasmodium vivax4, the second most important species of human malaria parasite (reviewed in ref. 4). Despite their relatedness, there are important phenotypic differences between them, such as host blood cell preference, absence of a dormant liver stage or ‘hypnozoite’ in P. knowlesi, and length of the asexual cycle (reviewed in ref. 4). Here we present an analysis of the P. knowlesi (H strain, Pk1(A+) clone5) nuclear genome sequence. This is the first monkey malaria parasite genome to be described, and it provides an opportunity for comparison with the recently completed P. vivax genome4 and other sequenced Plasmodium genomes6,7,8. In contrast to other Plasmodium genomes, putative variant antigen families are dispersed throughout the genome and are associated with intrachromosomal telomere repeats. One of these families, the KIRs9, contains sequences that collectively match over one-half of the host CD99 extracellular domain, which may represent an unusual form of molecular mimicry.

The Arabidopsis RNA-binding protein AtGRP8 undergoes negative autoregulation at the post-transcriptional level. An elevated AtGRP8 protein level promotes the use of a cryptic 5' splice site to generate an alternatively spliced transcript, as_AtGRP8, retaining the 5' half of the intron with a premature termination codon. In mutants defective in nonsense-mediated decay (NMD) abundance of as_AtGRP8 but not its pre-mRNA is elevated, indicating that as_AtGRP8 is a direct NMD target, thus limiting the production of functional AtGRP8 protein. In addition to its own pre-mRNA, AtGRP8 negatively regulates the AtGRP7 transcript through promoting the formation of the equivalent alternatively spliced as_AtGRP7 transcript, leading to a decrease in AtGRP7 abundance. Recombinant AtGRP8 binds to its own and the AtGRP7 pre-mRNA, suggesting that this interaction is relevant for the splicing decision in vivo. AtGRP7 itself is part of a negative autoregulatory circuit that influences circadian oscillations of its own and the AtGRP8 transcript through alternative splicing linked to NMD. Thus, we identify an interlocked feedback loop through which two RNA-binding proteins autoregulate and reciprocally crossregulate by coupling unproductive splicing to NMD. A high degree of evolutionary sequence conservation in the introns retained in as_AtGRP8 or as_AtGRP7 points to an important function of these sequences.

The expression of genes, both coding and noncoding, can be significantly influenced by RNA structural features of their corresponding transcripts. There is by now mounting experimental and some theoretical evidence that structure formation in vivo starts during transcription and that this cotranscriptional folding determines the functional RNA structural features that are being formed. Several decades of research in bioinformatics have resulted in a wide range of computational methods for predicting RNA secondary structures. Almost all state-of-the-art methods in terms of prediction accuracy, however, completely ignore the process of structure formation and focus exclusively on the final RNA structure. This review hopes to bridge this gap. We summarize the existing evidence for cotranscriptional folding and then review the different, currently used strategies for RNA secondary-structure prediction. Finally, we propose a range of ideas on how state-of-the-art methods could be potentially improved by explicitly capturing the process of cotranscriptional structure formation.