Genomic resources in fruit plants: an assessment of current status

The availability of many genomic resources such as genome sequences, functional genomics resources including microarrays and RNA-seq, sufficient numbers of molecular markers, express sequence tags (ESTs) and high-density genetic maps is causing a rapid acceleration of genetics and genomic research of many fruit plants. This is leading to an increase in our knowledge of the genes that are linked to many horticultural and agronomically important traits. Recently, some progress has also been made on the identification and functional analysis of miRNAs in some fruit plants. This is one of the most active research fields in plant sciences. The last decade has witnessed development of genomic resources in many fruit plants such as apple, banana, citrus, grapes, papaya, pears, strawberry etc.; however, many of them are still not being exploited. Furthermore, owing to lack of resources, infrastructure and research facilities in many lesser-developed countries, development of genomic resources in many underutilized or less-studied fruit crops, which grow in these countries, is limited. Thus, research emphasis should be given to those fruit crops for which genomic resources are relatively scarce. The development of genomic databases of these less-studied fruit crops will enable biotechnologists to identify target genes that underlie key horticultural and agronomical traits. This review presents an overview of the current status of the development of genomic resources in fruit plants with the main emphasis being on genome sequencing, EST resources, functional genomics resources including microarray and RNA-seq, identification of quantitative trait loci and construction of genetic maps as well as efforts made on the identification and functional analysis of miRNAs in fruit plants.     

Resistance Gene Analogues as a Tool for Rapid Identification and Cloning of Disease Resistance Genes in Plants 3 A Review

Most of the disease resistance genes (R-genes) discovered in plants have conserved functional domains, predominantly among them are nucleotide binding sites (NBS) and leucine rich repeats (LRR). The sequence information of the conserved domains can be invariably used to mine similar sequences from other plant species, using degenerate and specific primers for their amplification in a polymerase chain reaction. Such derived sequences, known as Resistance Gene Analogues (RGAs), can serve as molecular markers for rapid identification and isolation of R-genes. Besides, they can also provide clues about the evolutionary mechanism of resistance genes and the interaction involved in pathogen recognition. In the recent years, this sequence-homology based approach has been used extensively for the cloning and mapping of RGAs in cereals, pulses, oilseeds, coffee, spices, forest trees and horticultural crops. In this article, the current status of cloning of RGAs from different crops has been reviewed. A general method of RGA cloning and its modifications like NBS-profiling and AFLP-NBS have also been discussed along with examples. Further, it has been suggested that the RGAs cloned in various crops would be a useful genomic resource for developing cultivars with durable resistance to diseases in different crop breeding programmes.     

A physical map of important QTLs,functional markers and genes available for sesame breeding programs

Sesame is one of the oldest oilseed crops grown mainly in Africa and Asia. Although genetic and genomic studies on sesame have started late, the past 5 years have witnessed extensive progresses in these areas on this crop. Important genomic sequence resources such as functional markers, genes and QTLs linked to agronomically important traits, have been generated through linkage mapping and association analysis to assist sesame improvement programs. However, most of these data are scattered in different maps making them hard to be exploited efficiently in breeding programs. In this study, we report a comprehensive physical map gathering 151 published genomic sequence resources which highlighted some hotspot functional regions in the sesame genome. Moreover, 83,135 non-redundant SSRs have been supplied along with their physical position and motif composition. This will assist future research in fine mapping or pinpointing more functional genes based on the already published QTLs and functional markers. This physical map represents a good landmark for further non-overlapping genetic and genomic studies working towards sesame improvement.     

分子标记在绿豆遗传连锁图谱构建和基因定位研究中的应用

绿豆(Vigna radiata(L.)Wilczek)作为一种医食两用作物,不仅是重要的食物资源,在改善土壤环境、提高农民收入等方面也发挥着重要作用。然而,相对于大宗作物而言,绿豆基础研究薄弱,基因组研究更是落后。近年来,分子标记技术迅速发展,在绿豆基因组学研究中发挥了重要的作用。国内外利用分子标记技术已构建了超过20张绿豆遗传连锁图谱。一些优良基因尤其是与抗性相关的基因被鉴定或精细定位,为绿豆分子标记辅助选择打下基础,加快了抗性新品种的培育进程。本研究通过对分子标记技术在绿豆遗传连锁图谱构建、重要功能基因的定位等方面的应用进行综述,以期为绿豆遗传育种研究及功能基因组学分析提供参考。     

A review of catfish genomics: progress and perspectives

Catfish is one of the lower teleosts whose genome research is important for evolutionary genomics. As the major aquaculture species in the USA, its genome research also has practical and economical implications. Much progress has been made in recent years, including the development of large numbers of molecular markers, the construction of framework genetic linkage maps, the identification of putative markers involved in performance traits, and the development of genomic resources. Repetitive elements have been identified and characterized in the catfish genome that should facilitate physical analysis of the catfish genome. A large number of genes or full-length cDNAs have been analysed using genomic approaches, providing information on gene structure, gene evolution and gene expression in relation to functions. Catfish genome research has come to a stage when physical mapping through BAC contig construction is greatly demanded, in order to develop regional markers for QTL analysis and for large-scale comparative mapping. The current effort in large-scale EST analysis and type I marker mapping should further enhance research efficiency through comparative mapping. Candidate gene identification is being accelerated through the use of cDNA microarrays.     

In silico mapping of important genes and markers available in the public domain for efficient sorghum breeding

Crop genome sequencing projects generate massive amounts of genomic sequence information, and the utilization of this information in applied crop improvement programs has been augmented by the availability of sophisticated bioinformatics tools. Here, we present the possible direct utilization of sequence data from a sorghum genome sequencing project in applied crop breeding programs. Based on sequence homology, we aligned all publicly available simple sequence repeat markers on a sequence-based physical map for sorghum. Linking this physical map with already existing linkage map(s) provides better options for applied molecular breeding programs. When a new set of markers is made available, the new markers can be first aligned on a sequence-based physical map, and those located near the quantitative trait locus (QTL) can be identified from this map, thereby reducing the number of markers to be tested in order to identify polymorphic flanking markers for the QTL for any given donor × recurrent parent combination. Polymorphic markers that are expected (on the basis of their position on the sequence-based physical map) to be closely linked to the target can be used for foreground selection in marker-assisted breeding. This map facilitates the identification of a set of markers representing the entire genome, which would provide better resolution in diversity analyses and further linkage disequilibrium mapping. Filling the gaps in existing linkage maps and fine mapping can be achieved more efficiently by targeting the specific genomic regions of interest. It also opens up new exciting opportunities for comparative mapping and for the development of new genomic resources in related crops, both of which are lagging behind in the current genomic revolution. This paper also presents a number of examples of potential applications of sequence-based physical map for sorghum.     

植物外源基因组成分鉴定方法的研究进展

具外源基因组成分(外源染色体/染色体片段/基因)植株是目前进行基因组学研究以及作物改良的重要材料。迄今为止,已建立了基于性状观测、染色体分析、特异蛋白、DNA序列4种鉴定外源基因组成分的策略。其中,基于DNA序列的分子标记技术是当前鉴定外源基因组成分的主要手段,文中归纳了用于小麦、甘蓝等重要作物外源基因组成分的分子标记,且对简单重复序列(Simple sequence repeat, SSR)、插入缺失(Insertion-deletion,InDel)、单核苷酸多态性(Single nucleotide polymorphism,SNP)等9种标记进行了系统的比较。相比单一的鉴定方法,组合法更全面精准,文中对各组合法的应用情况进行统计和分析,提供了小麦族、芸薹族等作物的最佳鉴定组合。新一代分子标记InDel、SNP易实现高通量检测,对于外源渗入基因的精细定位展现了一定的优越性。此外,可以考虑一些新鉴定方法的加入,如微阵列比较基因组杂交(Microarray-based comparative genomic hybridization,array-CGH)、抑制差减杂交(Suppression subtractive hybridization,SSH)。     

Approaches to lipid metabolism gene identification and characterization in the postgenomic era

The availability of genomic resources has already had a tremendous impact on biomedical research. In this review, we describe how whole genome sequence and high-throughput functional genomics projects have facilitated the identification and characterization of important genes in lipid metabolism and disease. We review key approaches and lipid genes identified in the first years of this century and discuss how genomic resources are likely to streamline gene identification and functional characterization in the future.     

From genomics to functional markers in the era of next-generation sequencing

The availability of complete genome sequences, along with other genomic resources for Arabidopsis, rice, pigeon pea, soybean and other crops, has revolutionized our understanding of the genetic make-up of plants. Next-generation DNA sequencing (NGS) has facilitated single nucleotide polymorphism discovery in plants. Functionally-characterized sequences can be identified and functional markers (FMs) for important traits can be developed at an ever-increasing ease. FMs are derived from sequence polymorphisms found in allelic variants of a functional gene. Linkage disequilibrium-based association mapping and homologous recombinants have been developed for identification of “perfect” markers for their use in crop improvement practices. Compared with many other molecular markers, FMs derived from the functionally characterized sequence genes using NGS techniques and their use provide opportunities to develop high-yielding plant genotypes resistant to various stresses at a fast pace.     

Bioinformatic Mining of Type I Microsatellites from Expressed Sequence Tags of Channel Catfish (<Emphasis Type="Italic">Ictalurus punctatus</Emphasis>)

Gene-derived markers are pivotal to the analysis of genome structure, organization, and evolution and necessary for comparative genomics. However, gene-derived markers are relatively difficult to develop. This project utilized the genomic resources of channel catfish expressed sequence tags (ESTs) to identify simple sequence repeats (SSRs), or microsatellites. It took the advantage of ESTs for the establishment of gene identities, and of microsatellites for the acquisition of high polymorphism. When microsatellites are tagged to genes, the microsatellites can then be used as gene markers. A bioinformatic analysis of 43,033 ESTs identified 4855 ESTs containing microsatellites. Cluster analysis indicated that 1312 of these ESTs fell into 569 contigs, and the remaining 3534 ESTs were singletons. A total of 4103 unique microsatellite-containing genes were identified. The dinucleotide CA/TG and GA/TC pairs were the most abundant microsatellites. AT-rich microsatellite types were predominant among trinucleotide and tetranucleotide microsatellites, consistent with our earlier estimation that the catfish genome is highly AT-rich. Our preliminary results indicated that the majority of the identified microsatellites were polymorphic and, therefore, useful for genetic linkage mapping of catfish. Mapping of these gene-derived markers is under way, which will set the foundation for comparative genome analysis in catfish.     

RAD-seq技术在基因组研究中的现状及展望

Restriction-site associated DNA sequencing(RAD-seq)技术是在二代测序基础上发展起来的一项基于全基因组酶切位点的简化基因组测序技术。该方法技术流程简单, 不受有无参考基因组的限制, 可大大简化基因组的复杂性, 减少实验费用, 通过一次测序就可以获得数以万计的多态性标记。目前, RAD-seq技术已成功应用于超高密度遗传图谱的构建、重要性状的精细定位、辅助基因组序列组装、群体基因组学以及系统发生学等基因组研究热点领域。文章主要介绍了RAD-seq的技术原理、技术发展及其在基因组研究中的广泛应用。鉴于RAD-seq方法的独特性, 该技术必将在复杂基因组研究领域具有广泛的应用前景。     

Preliminary Genomic Characterization of Ten Hardwood Tree Species from Multiplexed Low Coverage Whole Genome Sequencing

Forest health issues are on the rise in the United States, resulting from introduction of alien pests and diseases, coupled with abiotic stresses related to climate change. Increasingly, forest scientists are finding genetic/genomic resources valuable in addressing forest health issues. For a set of ten ecologically and economically important native hardwood tree species representing a broad phylogenetic spectrum, we used low coverage whole genome sequencing from multiplex Illumina paired ends to economically profile their genomic content. For six species, the genome content was further analyzed by flow cytometry in order to determine the nuclear genome size. Sequencing yielded a depth of 0.8X to 7.5X, from which in silico analysis yielded preliminary estimates of gene and repetitive sequence content in the genome for each species. Thousands of genomic SSRs were identified, with a clear predisposition toward dinucleotide repeats and AT-rich repeat motifs. Flanking primers were designed for SSR loci for all ten species, ranging from 891 loci in sugar maple to 18,167 in redbay. In summary, we have demonstrated that useful preliminary genome information including repeat content, gene content and useful SSR markers can be obtained at low cost and time input from a single lane of Illumina multiplex sequence.     

Sequence Analysis of the Genome of an Oil-Bearing Tree, Jatropha curcas L.

The whole genome of Jatropha curcas was sequenced, using a combination of the conventional Sanger method and new-generation multiplex sequencing methods. Total length of the non-redundant sequences thus obtained was 285 858 490 bp consisting of 120 586 contigs and 29 831 singlets. They accounted for ∼95% of the gene-containing regions with the average G + C content was 34.3%. A total of 40 929 complete and partial structures of protein encoding genes have been deduced. Comparison with genes of other plant species indicated that 1529 (4%) of the putative protein-encoding genes are specific to the Euphorbiaceae family. A high degree of microsynteny was observed with the genome of castor bean and, to a lesser extent, with those of soybean and Arabidopsis thaliana. In parallel with genome sequencing, cDNAs derived from leaf and callus tissues were subjected to pyrosequencing, and a total of 21 225 unigene data have been generated. Polymorphism analysis using microsatellite markers developed from the genomic sequence data obtained was performed with 12 J. curcas lines collected from various parts of the world to estimate their genetic diversity. The genomic sequence and accompanying information presented here are expected to serve as valuable resources for the acceleration of fundamental and applied research with J. curcas, especially in the fields of environment-related research such as biofuel production. Further information on the genomic sequences and DNA markers is available at http://www.kazusa.or.jp/jatropha/.     

园艺作物花青素合成调控研究进展

花青素是一类保护植物免受生物和非生物胁迫的重要次生代谢产物,因其赋予植物丰富的色彩和对人体的保健功能而受到广泛关注。花青素合成调控机理的相关研究是目前园艺作物分子生物学研究的前沿课题,对于园艺作物花青素含量的提高、种质品质的提升等具有重要的意义。结合国内外园艺作物中花青素生物合成调控方面的最新研究进展,介绍了环境因素、酶与激素、DNA甲基化与泛素化和调控基因等对花青素生物合成的作用,以及花青素抵御外界胁迫的功能机制,综述了近年来园艺作物中花青素生物合成调控的研究成果,以期利用基因工程为提升园艺作物的色彩丰富度提供理论参考。