Cotton is one of the most economically important crop plants worldwide. Its fiber, commonly known as cotton lint, is the principal natural source for the textile industry. Approximately 33 million ha (5% of the world's arable land) is used for cotton planting 1 , with an annual global market value of textile mills of approximately $630.6 billion in 2011 (MarketPublishers; see URLs). Apart from its economic value, cotton is also an excellent model system for studying polyploidization, cell elongation and cell wall biosynthesis 2-5 .The Gossypium genus contains 5 tetraploid (AD 1 to AD 5 , 2n = 4×) and over 45 diploid (2n = 2×) species (where n is the number of chromosomes in the gamete of an individual), which are believed to have originated from a common ancestor approximately 5-10 million years ago 6 . Eight diploid subgenomes, designated as A to G and K, have been found across North America, Africa, Asia and Australia. The haploid genome size of diploid cottons (2n = 2× = 26) varies from about 880 Mb (G. raimondii Ulbrich) in the D genome to 2,500 Mb in the K genome 7,8 . Diploid cotton species share a common chromosome number (n = 13), and high levels of synteny or colinearity are observed among them 9-12 . The tetraploid cotton species (2n = 4× = 52), such as G. hirsutum L. and Gossypium barbadense L., are thought to have formed by an allopolyploidization event that occurred approximately 1-2 million years ago, which involved a D-genome species as the pollen-providing parent and an A-genome species as the maternal parent 13,14 . To gain insights into the cultivated polyploid genomes-how they have evolved and how their subgenomes interact-it is first necessary to have a basic knowledge of the structure of the component genomes. Therefore, we have created a draft sequence of the putative D-genome parent, G. raimondii, using DNA samples prepared from Cotton Microsatellite Database (CMD) 10 (refs. 15,16), a genetic standard originated from a single seed (accession D 5 -3) in 2004 and brought to near homozygosity by six successive generations of self-fertilization. We believe that sequencing of the G. raimondii genome will not only provide a major source of candidate genes important for the genetic improvement of cotton quality and productivity, but it may also serve as a reference for the assembly of the tetraploid G. hirsutum genome. RESULTS Sequencing and assemblyA whole-genome shotgun strategy was used to sequence and assemble the G. raimondii genome. A total of 78.7 Gb of next-generation Illumina paired-end 50-bp, 100-bp and 150-bp reads was generated by sequencing genome shotgun libraries of different fragment lengths (170 bp, 250 bp, 500 bp, 800 bp, 2 kb, 5 kb, 10 kb, 20 kb and 40 kb) that covered 103.6-fold of the 775.2-Mb assembled G. raimondii genome (Supplementary Table 1). The resulting assembly appeared to cover a very large proportion of the euchromatin of the G. raimondii genome. The unassembled genomic regions are likely to contain heterochromatic satellites, large repetitive sequences or ribosoma...
Watermelon, Citrullus lanatus, is an important cucurbit crop grown throughout the world. Here we report a high-quality draft genome sequence of the east Asia watermelon cultivar 97103 (2n = 2x = 22) containing 23,440 predicted protein-coding genes. Comparative genomics analysis provided an evolutionary scenario for the origin of the 11 watermelon chromosomes derived from a 7-chromosome paleohexaploid eudicot ancestor. Resequencing of 20 watermelon accessions representing three different C. lanatus subspecies produced numerous haplotypes and identified the extent of genetic diversity and population structure of watermelon germplasm. Genomic regions that were preferentially selected during domestication were identified. Many disease-resistance genes were also found to be lost during domestication. In addition, integrative genomic and transcriptomic analyses yielded important insights into aspects of phloem-based vascular signaling in common between watermelon and cucumber and identified genes crucial to valuable fruit-quality traits, including sugar accumulation and citrulline metabolism
Prunus mume (mei), which was domesticated in China more than 3,000 years ago as ornamental plant and fruit, is one of the first genomes among Prunus subfamilies of Rosaceae been sequenced. Here, we assemble a 280M genome by combining 101-fold next-generation sequencing and optical mapping data. We further anchor 83.9% of scaffolds to eight chromosomes with genetic map constructed by restriction-site-associated DNA sequencing. Combining P. mume genome with available data, we succeed in reconstructing nine ancestral chromosomes of Rosaceae family, as well as depicting chromosome fusion, fission and duplication history in three major subfamilies. We sequence the transcriptome of various tissues and perform genome-wide analysis to reveal the characteristics of P. mume, including its regulation of early blooming in endodormancy, immune response against bacterial infection and biosynthesis of flower scent. The P. mume genome sequence adds to our understanding of Rosaceae evolution and provides important data for improvement of fruit trees.
Lupin (Lupinus angustifolius L.) is the most recently domesticated crop in major agricultural cultivation. Its seeds are high in protein and dietary fibre, but low in oil and starch. Medical and dietetic studies have shown that consuming lupin-enriched food has significant health benefits. We report the draft assembly from a whole genome shotgun sequencing dataset for this legume species with 26.9x coverage of the genome, which is predicted to contain 57,807 genes. Analysis of the annotated genes with metabolic pathways provided a partial understanding of some key features of lupin, such as the amino acid profile of storage proteins in seeds. Furthermore, we applied the NGS-based RAD-sequencing technology to obtain 8,244 sequence-defined markers for anchoring the genomic sequences. A total of 4,214 scaffolds from the genome sequence assembly were aligned into the genetic map. The combination of the draft assembly and a sequence-defined genetic map made it possible to locate and study functional genes of agronomic interest. The identification of co-segregating SNP markers, scaffold sequences and gene annotation facilitated the identification of a candidate R gene associated with resistance to the major lupin disease anthracnose. We demonstrated that the combination of medium-depth genome sequencing and a high-density genetic linkage map by application of NGS technology is a cost-effective approach to generating genome sequence data and a large number of molecular markers to study the genomics, genetics and functional genes of lupin, and to apply them to molecular plant breeding. This strategy does not require prior genome knowledge, which potentiates its application to a wide range of non-model species.
BackgroundIn the last 30 years, a number of DNA fingerprinting methods such as RFLP, RAPD, AFLP, SSR, DArT, have been extensively used in marker development for molecular plant breeding. However, it remains a daunting task to identify highly polymorphic and closely linked molecular markers for a target trait for molecular marker-assisted selection. The next-generation sequencing (NGS) technology is far more powerful than any existing generic DNA fingerprinting methods in generating DNA markers. In this study, we employed a grain legume crop Lupinus angustifolius (lupin) as a test case, and examined the utility of an NGS-based method of RAD (restriction-site associated DNA) sequencing as DNA fingerprinting for rapid, cost-effective marker development tagging a disease resistance gene for molecular breeding.ResultsTwenty informative plants from a cross of RxS (disease resistant x susceptible) in lupin were subjected to RAD single-end sequencing by multiplex identifiers. The entire RAD sequencing products were resolved in two lanes of the 16-lanes per run sequencing platform Solexa HiSeq2000. A total of 185 million raw reads, approximately 17 Gb of sequencing data, were collected. Sequence comparison among the 20 test plants discovered 8207 SNP markers. Filtration of DNA sequencing data with marker identification parameters resulted in the discovery of 38 molecular markers linked to the disease resistance gene Lanr1. Five randomly selected markers were converted into cost-effective, simple PCR-based markers. Linkage analysis using marker genotyping data and disease resistance phenotyping data on a F8 population consisting of 186 individual plants confirmed that all these five markers were linked to the R gene. Two of these newly developed sequence-specific PCR markers, AnSeq3 and AnSeq4, flanked the target R gene at a genetic distance of 0.9 centiMorgan (cM), and are now replacing the markers previously developed by a traditional DNA fingerprinting method for marker-assisted selection in the Australian national lupin breeding program.ConclusionsWe demonstrated that more than 30 molecular markers linked to a target gene of agronomic trait of interest can be identified from a small portion (1/8) of one sequencing run on HiSeq2000 by applying NGS based RAD sequencing in marker development. The markers developed by the strategy described in this study are all co-dominant SNP markers, which can readily be converted into high throughput multiplex format or low-cost, simple PCR-based markers desirable for large scale marker implementation in plant breeding programs. The high density and closely linked molecular markers associated with a target trait help to overcome a major bottleneck for implementation of molecular markers on a wide range of germplasm in breeding programs. We conclude that application of NGS based RAD sequencing as DNA fingerprinting is a very rapid and cost-effective strategy for marker development in molecular plant breeding. The strategy does not require any prior genome knowledge or molecular informat...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.