菌根真菌与兰科植物互作的组学研究进展

兰科植物因其具有丰富的物种多样性和重要的社会经济价值,多年来一直是植物学及生态学界的重点研究对象。菌根真菌对兰科植物的种子萌发、营养吸收和种群动态等多个方面都具有十分重要的作用,因而近年来受到越来越多的关注。探究菌根真菌与兰科植物互作的内在机制是目前兰科菌根研究的一大热点领域,同时也为兰科植物野生资源保护和种群恢复提供了许多新方法与新思路。随着新一代测序技术以及多种组学数据库的发展与建立,菌根真菌与兰科植物互作机制研究已然进入了一个全新的时代。纵观近年来的研究,通过基因组学、转录组学、蛋白质组学和代谢组学等相关技术,人们对兰科菌根共生过程中的种子萌发、营养物质转运、信号转导、宿主免疫和逆境抗性等方面的内在机制有了一定的了解。本文对近十年来国内外采用组学技术研究菌根真菌与兰科植物互作机制方面的研究成果进行了总结和梳理,并对未来该领域的研究进行了展望。     

A comprehensive landscape genomics approach for seed sourcing strategies in landscapes under varying degrees of habitat disturbance

As most ecosystems around the world are threatened by anthropogenic degradation and climate change, there is an increasing urgency to implement restoration strategies aiming at ensuring ecosystem self‐sustainability and resilience. An initial step towards that goal relies on selecting the most suitable seed sources for a successful revegetation, which can be extremely challenging in highly degraded landscapes. The most common seed sourcing strategy is to select local seeds because it is assumed that plants experience strong adaptations to their natal sites. An alternative strategy is the selection of climate‐adapted genotypes to future conditions. While considering future climatic projections is important to account for spatial shifts in climate to inform assisted gene flow and translocations, to restore highly degraded landscapes we need a comprehensive approach that first accounts for species adaptations to current at‐site environmental conditions. In this issue of Molecular Ecology Resources, Carvalho et al. present a novel landscape genomics framework to identify the most appropriate seed sourcing strategy for moderately and highly degraded sites by integrating genotype, phenotype and environmental data in a spatially explicit context for two native plant species with potential to help restore iron‐rich Amazonian savannas. This framework is amenable to be applicable and adapted to a broad range of restoration initiatives, as the dichotomy between focusing on the current or future climatic conditions should depend on the goals and environmental circumstances of each restoration site.     

Single cell human genomic analyses: a way to refine the knowledge of cellular heterogeneity origins in individual subject

Single cell genomics performed on individual human subjects' tumors, neural tissues, and sperm samples revealed the existence of genetic heterogeneity arising through either mutations in exomes, deletions, recombinations, and duplications of DNA sequences, as well as aneuploidy. These genetic changes happen during cell cycles followed by cell division. The aim of this review is to strictly focus on single cell human genomics and intends to deliver information that can help to refine fundamental knowledge relating to genetic causes of cellular heterogeneity origins in both healthy and disease states. Allogenic heterogeneity as well as heterogeneity origins of cells possessing the same genome with different gene expression patterns is not the subject of this review. Future research still requires: a) improvement for complete and errorless DNA acquisition and sequencing of not only selected parts of the genome, and b) analyses of more samples that contain millions of cells. These data will deliver a more precise comparative representation of genetic diversity among single cells in an individual human subject. Consequently, we will be able to better distinguish between the role of genetic, versus epigenetic, and stochastic factors in the cellular diversity of over 30 trillion cells present in a human body.     

Proteome-Scale Analysis of Biochemical Activity

ABSTRACT

During the last 10 years, there has been a large increase in the number of genome sequences available for study, altering the way that the biology of organisms is studied. In particular, scientific attention has increasingly focused on the proteome, and specifically on the role of all the proteins encoded by the genome. We focus here on several aspects of this problem. We describe several technologies in widespread use to clone genes on a genome-wide scale, and to express and purify the proteins encoded by these genes. We also describe a number of methods that have been developed to analyze various biochemical properties of the proteins, with attention to the methodology and the limitations of the approaches, followed by a look at possible developments in the next decade.     

Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective

Proteomics is the study of the protein complement of a genome and employs a number of newly emerging tools. One such tool is chemical proteomics, which is a branch of proteomics devoted to the exploration of protein function using both in vitro and in vivo chemical probes. Chemical proteomics aims to define protein function and mechanism at the level of directly observed protein–ligand interactions, whereas chemical genomics aims to define the biological role of a protein using chemical knockouts and observing phenotypic changes. Chemical proteomics is therefore traditional mechanistic biochemistry performed in a systems-based manner, using either activity- or affinity-based probes that target proteins related by chemical reactivities or by binding site shape/properties, respectively. Systems are groups of proteins related by metabolic pathway, regulatory pathway or binding to the same ligand. Studies can be based on two main types of proteome samples: pooled proteins (1 mixture of N proteins) or isolated proteins in a given system and studied in parallel (N single protein samples). Although the field of chemical proteomics originated with the use of covalent labeling strategies such as isotope-coded affinity tagging, it is expanding to include chemical probes that bind proteins noncovalently, and to include more methods for observing protein–ligand interactions. This review presents an emerging role for nuclear magnetic resonance spectroscopy in chemical proteomics, both in vitro and in vivo. Applications include: functional proteomics using cofactor fingerprinting to assign proteins to gene families; gene family-based structural characterizations of protein–ligand complexes; gene family-focused design of drug leads; and chemical proteomic probes using nuclear magnetic resonance SOLVE and studies of protein–ligand interactions in vivo.     

Sequencing of the Dutch Elm Disease Fungus Genome Using the Roche/454 GS-FLX Titanium System in a Comparison of Multiple Genomics Core Facilities

As part of the DNA Sequencing Research Group of the Association of Biomolecular Resource Facilities, we have tested the reproducibility of the Roche/454 GS-FLX Titanium System at five core facilities. Experience with the Roche/454 system ranged from <10 to >340 sequencing runs performed. All participating sites were supplied with an aliquot of a common DNA preparation and were requested to conduct sequencing at a common loading condition. The evaluation of sequencing yield and accuracy metrics was assessed at a single site. The study was conducted using a laboratory strain of the Dutch elm disease fungus Ophiostoma novo-ulmi strain H327, an ascomycete, vegetatively haploid fungus with an estimated genome size of 30–50 Mb. We show that the Titanium System is reproducible, with some variation detected in loading conditions, sequencing yield, and homopolymer length accuracy. We demonstrate that reads shorter than the theoretical minimum length are of lower overall quality and not simply truncated reads. The O. novo-ulmi H327 genome assembly is 31.8 Mb and is comprised of eight chromosome-length linear scaffolds, a circular mitochondrial conti of 66.4 kb, and a putative 4.2-kb linear plasmid. We estimate that the nuclear genome encodes 8613 protein coding genes, and the mitochondrion encodes 15 genes and 26 tRNAs.     

Fosmid library construction and end sequences analysis of the Pacific oyster,Crassostrea gigas

The Pacific oyster (Crassostrea gigas) is globally distributed and is one of the most commercially and ecologically important marine organisms. However, little is known about the genome of this species. In this study, a C. gigas fosmid library was constructed that contains 459,936 clones with an average insert size of approximately 40 kb, representing 22.34-fold haploid genome equivalents. End sequencing generated 90,240 fosmid end sequences (FESs) with an average length of 384.27 base pairs (bp), covering approximately 2.58% of the Pacific oyster genome. The FESs were subsequently assembled and annotated, resulting in 6332 sequences with predicted open reading frames≥300 and 1,189,100 bp repeats. Furthermore, a total of 3200 microsatellite repeats were identified, and dinucleotide repeats were found to occur most abundantly, with AG and AAT being the most abundant repeat class of dinucleotides and trinucleotides. We also found that the repeat number was generally negatively proportional to the repeat element length. Microsatellites composition between the transcribed sequences and genomic sequences was shown to be different. Point mutations of microsatellite were non-random and underwent strong selection stress. Overall, a comprehensive sequence resource for the Pacific oyster was created, including annotated transposable elements, tandem repeats, protein coding sequences and microsatellites. These initial findings will serve as resources for further in-depth studies of physical mapping, gene discovery, microsatellite marker developing and evolution studies.