Lingfei Shangguan

Identification of microRNAs from Amur grape (vitis amurensis Rupr.) by deep sequencing and analysis of microRNA variations with bioinformatics

BackgroundMicroRNA (miRNA) is a class of functional non-coding small RNA with 19-25 nucleotides in length while Amur grape (Vitis amurensis Rupr.) is an important wild fruit crop with the strongest cold resistance among the Vitis species, is used as an excellent breeding parent for grapevine, and has elicited growing interest in wine production. To date, there is a relatively large number of grapevine miRNAs (vv-miRNAs) from cultivated grapevine varieties such as Vitis vinifera L. and hybrids of V. vinifera and V. labrusca, but there is no report on miRNAs from Vitis amurensis Rupr, a wild grapevine species.ResultsA small RNA library from Amur grape was constructed and Solexa technology used to perform deep sequencing of the library followed by subsequent bioinformatics analysis to identify new miRNAs. In total, 126 conserved miRNAs belonging to 27 miRNA families were identified, and 34 known but non-conserved miRNAs were also found. Significantly, 72 new potential Amur grape-specific miRNAs were discovered. The sequences of these new potential va-miRNAs were further validated through miR-RACE, and accumulation of 18 new va-miRNAs in seven tissues of grapevines confirmed by real time RT-PCR (qRT-PCR) analysis. The expression levels of va-miRNAs in flowers and berries were found to be basically consistent in identity to those from deep sequenced sRNAs libraries of combined corresponding tissues. We also describe the conservation and variation of va-miRNAs using miR-SNPs and miR-LDs during plant evolution based on comparison of orthologous sequences, and further reveal that the number and sites of miR-SNP in diverse miRNA families exhibit distinct divergence. Finally, 346 target genes for the new miRNAs were predicted and they include a number of Amur grape stress tolerance genes and many genes regulating anthocyanin synthesis and sugar metabolism.ConclusionsDeep sequencing of short RNAs from Amur grape flowers and berries identified 72 new potential miRNAs and 34 known but non-conserved miRNAs, indicating that specific miRNAs exist in Amur grape. These results show that a number of regulatory miRNAs exist in Amur grape and play an important role in Amur grape growth, development, and response to abiotic or biotic stress.

Genome-wide Analysis of the AP2/ERF Superfamily in Peach (Prunus persica)

We identified 131 AP2/ERF (APETALA2/ethylene-responsive factor) genes in material from peach using the gene sequences of AP2/ERF amino acids of Arabidopsis thaliana (Brassicaceae) as probes. Based on the number of AP2/ERF domains and individual gene characteristics, the AP2/ERF superfamily gene in peach can be classified broadly into three families, ERF (ethylene-responsive factor), RAV (related to ABI3/VP1), and AP2 (APETALA2), containing 104, 5, and 21 members, respectively, along with a solo gene (ppa005376m). The 104 genes in the ERF family were further divided into 11 groups based on the group classification made for Arabidopsis. The scaffold localizations of the AP2/ERF genes indicated that 129 AP2/ERF genes were all located on scaffolds 1 to 8, except for two genes, which were on scaffolds 17 and 10. Although the primary structure varied among AP2/ERF superfamily proteins, their tertiary structures were similar. Most ERF family genes have no introns, while members of the AP2 family have more introns than genes in the ERF and RAV families. All sequences of AP2 family genes were disrupted by introns into several segments of varying sizes. The expression of the AP2/ERF superfamily genes was highest in the mesocarp; it was far higher than in the other seven tissues that we examined, implying that AP2/ERF superfamily genes play an important role in fruit growth and development in the peach. These results will be useful for selecting candidate genes from specific subgroups for functional analysis.

Characterization of microRNAs Identified in a Table Grapevine Cultivar with Validation of Computationally Predicted Grapevine miRNAs by miR-RACE

Background Alignment analysis of the Vv-miRNAs identified from various grapevine cultivars indicates that over 30% orthologous Vv-miRNAs exhibit a 1–3 nucleotide discrepancy only at their ends, suggesting that this sequence discrepancy is not a random event, but might mainly derive from divergence of cultivars. With advantages of miR-RACE technology in determining precise sequences of potential miRNAs from bioinformatics prediction, the precise sequences of vv-miRNAs predicted computationally can be verified with miR-RACE in a different grapevine cultivar. This presents itself as a new approach for large scale discovery of precise miRNAs in different grapevine varieties. Methodology/Principal Findings Among 88 unique sequences of Vv-miRNAs from bioinformatics prediction, 83 (96.3%) were successfully validated with MiR-RACE in grapevine cv. ‘Summer Black’. All the validated sequences were identical to their corresponding ones obtained from deep sequencing of the small RNA library of ‘Summer Black’. Quantitative RT-PCR analysis of the expressions levels of 10 Vv-miRNA/target gene pairs in grapevine tissues showed some negative correlation trends. Finally, comparison of Vv-miRNA sequences with their orthologs in Arabidopsis and study on the influence of divergent bases of the orthologous miRNAs on their targeting patterns in grapevine were also done. Conclusion The validation of precise sequences of potential Vv-miRNAs from computational prediction in a different grapevine cultivar can be a new way to identify the orthologous Vv-miRNAs. Nucleotide discrepancy of orthologous Vv-miRNAs from different grapevine cultivars normally does not change their target genes. However, sequence variations of some orthologous miRNAs in grapevine and Arabidopsis can change their targeting patterns. These precise Vv-miRNAs sequences validated in our study could benefit some further study on grapevine functional genomics.

Plant variety and cultivar identification: advances and prospects

Plant variety and cultivar identification is one of the most important aspects in agricultural systems. The large number of varieties or landraces among crop plants has made it difficult to identify and characterize varieties solely on the basis of morphological characters because they are non stable and originate due to environmental and climatic conditions, and therefore phenotypic plasticity is an outcome of adaptation. To mitigate this, scientists have developed and employed molecular markers, statistical tests and software to identify and characterize the required plant cultivars or varieties for cultivation, breeding programs as well as for cultivar-right-protection. The establishment of genome and transcriptome sequencing projects for many crops has led to generation of a huge wealth of sequence information that could find much use in identification of plants and their varieties. We review the current status of plant variety and cultivar identification, where an attempt has been made to describe the different strategies available for plant identification. We have found that despite the availability of methods and suitable markers for a wide range of crops, there is dearth of simple ways of making both morphological descriptors and molecular markers easy, referable and practical to use although there are ongoing attempts at making this possible. Certain limitations present a number of challenges for the development and utilization of modern scientific methods in variety or cultivar identification in many important crops.

Deep sequencing discovery of novel and conserved microRNAs in strawberry (Fragaria×ananassa)

In plants, microRNAs (miRNAs) play a critical role in post-transcriptional gene regulation and have been shown to control many genes involved in various biological and metabolic processes. There have been extensive studies to discover miRNAs and analyze their functions in model plant species, such as Arabidopsis and rice. Deep sequencing technologies have facilitated identification of species-specific or lowly expressed as well as conserved or highly expressed miRNAs in plants. In this research, we used Solexa sequencing to discover new miRNAs in cultivated strawberry (Fragaria×ananassa). A total of 23,282 ,309 reads representing 22,500 ,402 distinct sequences were obtained from a short RNA library generated from small RNAs extracted from strawberry fruit tissues. On the basis of sequence similarity and hairpin structure prediction, we found that 156,639 reads representing 153 sequences have good matches to known miRNAs. We also identified 37 novel miRNA candidates. These sequences had not been previously described in other plant species. Potential target genes were predicted for the majority of and novel miRNAs. These results show that regulatory miRNAs exist in the agriculturally important cultivated strawberry and may play an important role in its growth, development and response to disease.

Characterization of grapevine microR164 and its target genes.

MicroRNAs (miRNAs) are an extensive class of newly identified small RNAs that regulate gene expression at post-transcription level by mRNA cleavage or translation. In our study, we used qRT-PCR and found that Vv-miR164 is expression in grapevine leaves, stems, tendrils, inflorescences, flowers and fruits. In addition, two potential target genes for Vv-miR164 were also found and verified by PPM-RACE and RLM-RACE. The results not only maps the cleavage site of the target mRNA but allowed for detection the expression pattern of cleaved fragments that can indicate the regulatory function of this miRNA on its target genes. These target genes were explored by qRT-PCR where some exhibited different expression patterns from their corresponding miRNA, indicating the cleavage mode of the miRNA on its target genes. The efficient and powerful approach used in this study can help in further understanding of how miRNAs cleaved their target mRNAs. Results from this study prove the importance of Vv-miR164 in regulating development and growth of grapes, and adds to the existing knowledge of small RNA-mediated regulation in grapes.

Comparative transcriptome analysis of grapevine in response to copper stress

Grapevine is one of the most economically important and widely cultivated fruit crop worldwide. With the industrialization and the popular application of cupric fungicides in grape industry, copper stress and copper pollution are also the factors affecting grape production and berry and wine quality. Here, 3,843 transcripts were significantly differently expressed genes in response to Cu stress by RNA-seq, which included 1,892 up-regulated and 1,951 down-regulated transcripts. During this study we found many known and novel Cu-induced and -repressed genes. Biological analysis of grape samples were indicated that exogenous Cu can influence chlorophylls metabolism and photosynthetic activities of grapevine. Most ROS detoxification systems, including antioxidant enzyme, stress-related proteins and secondary metabolites were strongly induced. Concomitantly, abscisic acid functioned as a negative regulator in Cu stress, in opposite action to ethylene, auxin, jasmonic acid, and brassinolide. This study also identified a set of Cu stress specifically activated genes coding copper transporter, P1B-type ATPase, multidrug transporters. Overall, this work was carried out to gain insights into the copper-regulated and stress-responsive mechanisms in grapevine at transcriptome level. This research can also provide some genetic information that can help us in better vinery management and breeding Cu-resistant grape cultivars.

Analysis of expressed sequence tags from Prunus mume flower and fruit and development of simple sequence repeat markers

BackgroundExpressed Sequence Tag (EST) has been a cost-effective tool in molecular biology and represents an abundant valuable resource for genome annotation, gene expression, and comparative genomics in plants.ResultsIn this study, we constructed a cDNA library of Prunus mume flower and fruit, sequenced 10,123 clones of the library, and obtained 8,656 expressed sequence tag (EST) sequences with high quality. The ESTs were assembled into 4,473 unigenes composed of 1,492 contigs and 2,981 singletons and that have been deposited in NCBI (accession IDs: GW868575 - GW873047), among which 1,294 unique ESTs were with known or putative functions. Furthermore, we found 1,233 putative simple sequence repeats (SSRs) in the P. mume unigene dataset. We randomly tested 42 pairs of PCR primers flanking potential SSRs, and 14 pairs were identified as true-to-type SSR loci and could amplify polymorphic bands from 20 individual plants of P. mume. We further used the 14 EST-SSR primer pairs to test the transferability on peach and plum. The result showed that nearly 89% of the primer pairs produced target PCR bands in the two species. A high level of marker polymorphism was observed in the plum species (65%) and low in the peach (46%), and the clustering analysis of the three species indicated that these SSR markers were useful in the evaluation of genetic relationships and diversity between and within the Prunus species.ConclusionsWe have constructed the first cDNA library of P. mume flower and fruit, and our data provide sets of molecular biology resources for P. mume and other Prunus species. These resources will be useful for further study such as genome annotation, new gene discovery, gene functional analysis, molecular breeding, evolution and comparative genomics between Prunus species.

Evaluation of Genome Sequencing Quality in Selected Plant Species Using Expressed Sequence Tags

Background With the completion of genome sequencing projects for more than 30 plant species, large volumes of genome sequences have been produced and stored in online databases. Advancements in sequencing technologies have reduced the cost and time of whole genome sequencing enabling more and more plants to be subjected to genome sequencing. Despite this, genome sequence qualities of multiple plants have not been evaluated. Methodology/Principal Finding Integrity and accuracy were calculated to evaluate the genome sequence quality of 32 plants. The integrity of a genome sequence is presented by the ratio of chromosome size and genome size (or between scaffold size and genome size), which ranged from 55.31% to nearly 100%. The accuracy of genome sequence was presented by the ratio between matched EST and selected ESTs where 52.93% ∼ 98.28% and 89.02% ∼ 98.85% of the randomly selected clean ESTs could be mapped to chromosome and scaffold sequences, respectively. According to the integrity, accuracy and other analysis of each plant species, thirteen plant species were divided into four levels. Arabidopsis thaliana, Oryza sativa and Zea mays had the highest quality, followed by Brachypodium distachyon, Populus trichocarpa, Vitis vinifera and Glycine max, Sorghum bicolor, Solanum lycopersicum and Fragaria vesca, and Lotus japonicus, Medicago truncatula and Malus × domestica in that order. Assembling the scaffold sequences into chromosome sequences should be the primary task for the remaining nineteen species. Low GC content and repeat DNA influences genome sequence assembly. Conclusion The quality of plant genome sequences was found to be lower than envisaged and thus the rapid development of genome sequencing projects as well as research on bioinformatics tools and the algorithms of genome sequence assembly should provide increased processing and correction of genome sequences that have already been published.

Analysis of expressed sequence tags from grapevine flower and fruit and development of simple sequence repeat markers

A total of 6,230 EST sequences were produced from 7,561 clones in a cDNA library generated from grapevine (Vitis vinifera cv. ‘Summer Black’) flower and fruit tissues in this study. After cluster and assembly analysis of the datasets, 3,582 unigenes (GenBank accession numbers GW836604–GW840185) were established, among which 381 were new grapevine EST sequences. Out of the 381 new ESTs, 289 could be mapped on the 19 grapevine chromosomes. 913 unique ESTs with known or putative functions were assigned to 11 putative cellular roles. 540 potentially workable grapevine EST-SSRs were developed from 3,582 unigenes and about 42.6% of these unigenes were identified as true-to-type SSR loci and could amplify polymorphic bands from 22 individual plants of V. vinifera L, indicating that grapevine EST datasets are a valuable source for the development of functional simple sequence repeat (SSR) markers.