Dataset Information

SSR identification and marker development for sago palm based on NGS genome data.

ABSTRACT: Sago palm (Metroxylon sagu Rottb.) is one of the most productive carbohydrate-producing crops. Unfortunately, only limited information regarding sago palm genetics is available. This study aimed to develop simple sequence repeat (SSR) markers using sago palm NGS genomic data and use these markers to evaluate the genetic diversity of sago palm from Indonesia. De novo assembly of partial sago palm genomic data and subsequent SSR mining identified 29,953 contigs containing 31,659 perfect SSR loci and 31,578 contigs with 33,576 imperfect SSR loci. The perfect SSR loci density was 132.57/Mb, and AG, AAG and AAAT were the most frequent SSR motifs. Five hundred perfect SSR loci were randomly selected and used for designing SSR primers; 93 SSR primer pairs were identified. After synteny analysis using rice genome sequences, 20 primer pairs were validated using 11 sago palm accessions, and seven primers generated polymorphic alleles. Genetic diversity analysis of 41 sago palm accessions from across Indonesia using polymorphic SSR loci indicated the presence of three clusters. These results demonstrated the success of SSR identification and marker development for sago palm based on NGS genome data, which can be further used for assisting sago palm breeding in the future.

SUBMITTER: Purwoko D

PROVIDER: S-EPMC6507712 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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SSR identification and marker development for sago palm based on NGS genome data.

Purwoko Devit D Cartealy Imam Civi IC Tajuddin Teuku T Dinarti Diny D Sudarsono Sudarsono S

Breeding science 20190316 1

Sago palm (<i>Metroxylon sagu</i> Rottb.) is one of the most productive carbohydrate-producing crops. Unfortunately, only limited information regarding sago palm genetics is available. This study aimed to develop simple sequence repeat (SSR) markers using sago palm NGS genomic data and use these markers to evaluate the genetic diversity of sago palm from Indonesia. <i>De novo</i> assembly of partial sago palm genomic data and subsequent SSR mining identified 29,953 contigs containing 31,659 perf ...[more]

PMID: 31086478

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Project description:BackgroundSimple sequence repeats (SSRs) have become widely used as molecular markers in plant genetic studies due to their abundance, high allelic variation at each locus and simplicity to analyze using conventional PCR amplification. To study plants with unknown genome sequence, SSR markers from Expressed Sequence Tags (ESTs), which can be obtained from the plant mRNA (converted to cDNA), must be utilized. With the advent of high-throughput sequencing technology, huge EST sequence data have been generated and are now accessible from many public databases. However, SSR marker identification from a large in-house or public EST collection requires a computational pipeline that makes use of several standard bioinformatic tools to design high quality EST-SSR primers. Some of these computational tools are not users friendly and must be tightly integrated with reference genomic databases.ResultsA web-based bioinformatic pipeline, called EST Analysis Pipeline Plus (ESAP Plus), was constructed for assisting researchers to develop SSR markers from a large EST collection. ESAP Plus incorporates several bioinformatic scripts and some useful standard software tools necessary for the four main procedures of EST-SSR marker development, namely 1) pre-processing, 2) clustering and assembly, 3) SSR mining and 4) SSR primer design. The proposed pipeline also provides two alternative steps for reducing EST redundancy and identifying SSR loci. Using public sugarcane ESTs, ESAP Plus automatically executed the aforementioned computational pipeline via a simple web user interface, which was implemented using standard PHP, HTML, CSS and Java scripts. With ESAP Plus, users can upload raw EST data and choose various filtering options and parameters to analyze each of the four main procedures through this web interface. All input EST data and their predicted SSR results will be stored in the ESAP Plus MySQL database. Users will be notified via e-mail when the automatic process is completed and they can download all the results through the web interface.ConclusionsESAP Plus is a comprehensive and convenient web-based bioinformatic tool for SSR marker development. ESAP Plus offers all necessary EST-SSR development processes with various adjustable options that users can easily use to identify SSR markers from a large EST collection. With familiar web interface, users can upload the raw EST using the data submission page and visualize/download the corresponding EST-SSR information from within ESAP Plus. ESAP Plus can handle considerably large EST datasets. This EST-SSR discovery tool can be accessed directly from: http://gbp.kku.ac.th/esap_plus/ .

Project description:BackgroundThe oil palm (Elaeis guineensis, 2n = 32) has the highest oil yield of any crop species, as well as comprising the richest dietary source of provitamin A. For the tropical species, the best mean growth temperature is about 27°C, with a minimal growth temperature of 15°C. Hence, the plantation area is limited into the geographical ranges of 10°N to 10°S. Enhancing cold tolerance capability will increase the total cultivation area and subsequently oil productivity of this tropical species. Developing molecular markers related to cold tolerance would be helpful for molecular breeding of cold tolerant Elaeis guineensis.ResultsIn total, 5791 gene-based SSRs were identified in 51,452 expressed sequences from Elaeis guineensis transcriptome data: approximately one SSR was detected per 10 expressed sequences. Of these 5791 gene-based SSRs, 916 were derived from expressed sequences up- or down-regulated at least two-fold in response to cold stress. A total of 182 polymorphic markers were developed and characterized from 442 primer pairs flanking these cold-responsive SSR repeats. The polymorphic information content (PIC) of these polymorphic SSR markers across 24 lines of Elaeis guineensis varied from 0.08 to 0.65 (mean = 0.31 ± 0.12). Using in-silico mapping, 137 (75.3%) of the 182 polymorphic SSR markers were located onto the 16 Elaeis guineensis chromosomes. Total coverage of 473 Mbp was achieved, with an average physical distance of 3.4 Mbp between adjacent markers (range 96 bp - 20.8 Mbp). Meanwhile, Comparative analysis of transcriptome under cold stress revealed that one ICE1 putative ortholog, five CBF putative orthologs, 19 NAC transcription factors and four cold-induced orhologs were up-regulated at least two fold in response to cold stress. Interestingly, 5' untranslated region of both Unigene21287 (ICE1) and CL2628.Contig1 (NAC) both contained an SSR markers.ConclusionsIn the present study, a series of SSR markers were developed based on sequences differentially expressed in response to cold stress. These EST-SSR markers would be particularly useful for gene mapping and population structure analysis in Elaeis guineensis. Meanwhile, the EST-SSR loci were inducible expressed in response to low temperature, which may have potential application in identifying trait-associated markers in oil palm in the future.

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SSR identification and marker development for sago palm based on NGS genome data.

Publications

SSR identification and marker development for sago palm based on NGS genome data.

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