Eukaryotic noncoding DNA sequences provide genes with an additional protection against chemical mutagens

A quantitative model was developed that identified a new function of noncoding sequences in the eukaryotic genome, namely, the protection of coding sequences against chemical (mainly endogenous) mutagens. It was shown that, under common ecological conditions, the number of nucleotides damaged by endogenous and exogenous reactive species in coding sequences of the genome is inversely proportional to the size of their noncoding parts. Noncoding sequences can differently protect single genetic loci from chemical modification by the formation of specific spatial structures of the protected loci in the interphase nuclei. The significant differences in genome sizes between species (C-value paradox) can be explained by different contributions of noncoding sequences to the total effect of genome protection from endogenous chemical mutagens.     

Plant genome size research: a field in focus

This Special Issue contains 18 papers arising from presentations at the Second Plant Genome Size Workshop and Discussion Meeting (hosted by the Royal Botanic Gardens, Kew, 8-12 September, 2003). This preface provides an overview of these papers, setting their key contents in the broad framework of this highly active field. It also highlights a few overarching issues with wide biological impact or interest, including (1) the need to unify terminology relating to C-value and genome size, (2) the ongoing quest for accurate gold standards for accurate plant genome size estimation, (3) how knowledge of species' DNA amounts has increased in recent years, (4) the existence, causes and significance of intraspecific variation, (5) recent progress in understanding the mechanisms and evolutionary patterns of genome size change, and (6) the impact of genome size knowledge on related biological activities such as genetic fingerprinting and quantitative genetics. The paper offers a vision of how increased knowledge and understanding of genome size will contribute to holisitic genomic studies in both plants and animals in the next decade.     

Horizontal gene transfer in microbial genome evolution

Horizontal gene transfer is the collective name for processes that permit the exchange of DNA among organisms of different species. Only recently has it been recognized as a significant contribution to inter-organismal gene exchange. Traditionally, it was thought that microorganisms evolved clonally, passing genes from mother to daughter cells with little or no exchange of DNA among diverse species. Studies of microbial genomes, however, have shown that genomes contain genes that are closely related to a number of different prokaryotes, sometimes to phylogenetically very distantly related ones. (Doolittle et al., 1990, J. Mol. Evol. 31, 383-388; Karlin et al., 1997, J. Bacteriol. 179, 3899-3913; Karlin et al., 1998, Annu. Rev. Genet. 32, 185-225; Lawrence and Ochman, 1998, Proc. Natl. Acad. Sci. USA 95, 9413-9417; Rivera et al., 1998, Proc. Natl. Acad. Sci. USA 95, 6239-6244; Campbell, 2000, Theor. Popul. Biol. 57 71-77; Doolittle, 2000, Sci. Am. 282, 90-95; Ochman and Jones, 2000, Embo. J. 19, 6637-6643; Boucher et al. 2001, Curr. Opin., Microbiol. 4, 285-289; Wang et al., 2001, Mol. Biol. Evol. 18, 792-800). Whereas prokaryotic and eukaryotic evolution was once reconstructed from a single 16S ribosomal RNA (rRNA) gene, the analysis of complete genomes is beginning to yield a different picture of microbial evolution, one that is wrought with the lateral movement of genes across vast phylogenetic distances. (Lane et al., 1988, Methods Enzymol. 167, 138-144; Lake and Rivera, 1996, Proc. Natl. Acad. Sci. USA 91, 2880-2881; Lake et al., 1999, Science 283, 2027-2028).     

禾本科植物基因组大小与种子特性的相关性分析

在检索植物C值数据库和种子数据信息库的基础上,对禾本科282种植物的基因组参数（倍性、染色体数、C值、GS值和平均每条染色体DNA含量）和种子特性（千粒重、含油量和蛋白含量）进行了统计分析。分析结果表明,禾本科植物C值在0.35～19.7 pg,大多位于1.6～3.2 pg之间,呈偏正态分布,种子千粒重在0.05～252 g,绝大多数位于0.05～20.0 g,呈偏态分布,二者平均值分别为4.14 pg和7.1 g。随着染色体倍性增加,C值在二倍体到八倍体之间显著增加,而GS值和平均每染色体DNA含量在二倍体到六倍体之间显著下降（p<0.05)。雀麦属和羊茅属随着倍性增加,C值显著增加,表现与禾本科相似的变化规律,GS值下降却不明显。相关性分析表明,禾本科植物C值与倍性、染色体数、GS值及平均每条染色体DNA含量均呈极显著正相关（p<0.01),与种子千粒重无相关性。GS值与染色体数、倍性呈极显著负相关,而与千粒重呈极显著正相关。C值与种子含油量呈显著负相关,但与种子蛋白含量之间无相关性。以上结果表明,禾本科植物在系统演化和进化过程中,主要通过倍性和染色体的增加来增大C值,可能通过某种删除或丢失机制来降低GS值,从而保持较高的适应环境能力和进化速率。     

The C-value enigma in plants and animals: a review of parallels and an appeal for partnership

• Aims Plants and animals represent the first two kingdomsrecognized, and remain the two best-studied groups in termsof nuclear DNA content variation. Unfortunately, the traditionalchasm between botanists and zoologists has done much to preventan integrated approach to resolving the C-value enigma, thelong-standing puzzle surrounding the evolution of genome size.This grand division is both unnecessary and counterproductive,and the present review aims to illustrate the numerous linksbetween the patterns and processes found in plants and animalsso that a stronger unity can be developed in the future. • Scope This review discusses the numerous parallels thatexist in genome size evolution between plants and animals, including(i) the construction of large databases, (ii) the patterns ofDNA content variation among taxa, (iii) the cytological, morphological,physiological and evolutionary impacts of genome size, (iv)the mechanisms by which genomes change in size, and (v) thedevelopment of new methodologies for estimating DNA contents. • Conclusions The fundamental questions of the C-valueenigma clearly transcend taxonomic boundaries, and increasedcommunication is therefore urged among those who study genomesize evolution, whether in plants, animals or other organisms.     

稻属植物的基因组进化

水稻所在的稻属(Oryza)共有24个左右的物种。由于野生稻含有大量的优良农艺性状基因, 在水稻遗传学研究中日益受到重视。随着国际稻属基因组计划的开展, 越来越多的稻属基因组序列被测定, 稻属成为进行比较、功能和进化基因组学研究的模式系统。近期开展的一系列研究对稻属不同基因组区段以及全基因组序列的比较分析, 揭示了稻属在基因组大小、基因移动、多倍体进化、常染色质到异染色质的转化以及着丝粒区域的进化等方面的分子机制。转座子的活性以及转座子因非均等重组或非法重组而造成的删除, 对稻属基因组的扩增和收缩具有重要作用。DNA双链断裂修复介导的基因移动, 特别是非同源末端连接, 是稻属基因组非共线性基因形成的主要来源。稻属基因组从常染色质到异染色质的转换过程, 伴随着转座子的大量扩增、基因片段的区段性和串联重复以及从基因组其他位置不断捕获异染色质基因。对稻属不同物种间基因拷贝数、特异基因和重要农艺性状基因的进化等研究, 可揭示稻属不同物种间表型和适应性差异的分子基础, 将加速水稻的育种和改良。     

Selective Whole Genome Amplification for Resequencing Target Microbial Species from Complex Natural Samples

Population genomic analyses have demonstrated power to address major questions in evolutionary and molecular microbiology. Collecting populations of genomes is hindered in many microbial species by the absence of a cost effective and practical method to collect ample quantities of sufficiently pure genomic DNA for next-generation sequencing. Here we present a simple method to amplify genomes of a target microbial species present in a complex, natural sample. The selective whole genome amplification (SWGA) technique amplifies target genomes using nucleotide sequence motifs that are common in the target microbe genome, but rare in the background genomes, to prime the highly processive phi29 polymerase. SWGA thus selectively amplifies the target genome from samples in which it originally represented a minor fraction of the total DNA. The post-SWGA samples are enriched in target genomic DNA, which are ideal for population resequencing. We demonstrate the efficacy of SWGA using both laboratory-prepared mixtures of cultured microbes as well as a natural host–microbe association. Targeted amplification of Borrelia burgdorferi mixed with Escherichia coli at genome ratios of 1:2000 resulted in >10⁵-fold amplification of the target genomes with <6.7-fold amplification of the background. SWGA-treated genomic extracts from Wolbachia pipientis-infected Drosophila melanogaster resulted in up to 70% of high-throughput resequencing reads mapping to the W. pipientis genome. By contrast, 2–9% of sequencing reads were derived from W. pipientis without prior amplification. The SWGA technique results in high sequencing coverage at a fraction of the sequencing effort, thus allowing population genomic studies at affordable costs.     

Coincidence,coevolution, or causation? DNA content,cellsize, and the C‐value enigma

Variation in DNA content has been largely ignored as a factor in evolution, particularly following the advent of sequence-based approaches to genomic analysis. The significant genome size diversity among organisms (more than 200000-fold among eukaryotes) bears no relationship to organismal complexity and both the origins and reasons for the clearly non-random distribution of this variation remain unclear. Several theories have been proposed to explain this 'C-value enigma' (heretofore known as the 'C-value paradox'), each of which can be described as either a mutation pressure' or 'optimal DNA' theory. Mutation pressure theories consider the large portion of non-coding DNA in eukaryotic genomes as either 'junk' or 'selfish' DNA and are important primarily in considerations of the origin of secondary DNA. Optimal DNA theories differ from mutation pressure theories by emphasizing the strong link between DNA content and cell and nuclear volumes. While mutation pressure theories generally explain this association with cell size as coincidental, the nucleoskeletal theory proposes a coevolutionary interaction between nuclear and cell volume, with DNA content adjusted adaptively following shifts in cell size. Each of these approaches to the C-value enigma is problematic for a variety of reasons and the preponderance of the available evidence instead favours the nucleotypic theory which postulates a causal link between bulk DNA amount and cell volume. Under this view, variation in DNA content is under direct selection via its impacts on cellular and organismal parameters. Until now, no satisfactory mechanism has been presented to explain this nucleotypic effect. However, recent advances in the study of cell cycle regulation suggest a possible 'gene nucleus interaction model' which may account for it. The present article provides a detailed review of the debate surrounding the C-value enigma, the various theories proposed to explain it, and the evidence in favour of a causal connection between DNA content and cell size. In addition, a new model of nucleotypic influence is developed, along with suggestions for further empirical investigation. Finally, some evolutionary implications of genome size diversity are considered, and a broadening of the traditional 'biological hierarchy' is recommended.