scholarly journals Phylogenetic analysis by SNP and development of SSR marker in Passiflora

2020 ◽  
Author(s):  
Yanyan Wu ◽  
Qinglan Tian ◽  
Weihua Huang ◽  
Jieyun Liu ◽  
Xiuzhong Xia ◽  
...  
Keyword(s):  
Phylogenetic Tree ◽  
Reference Genome ◽  
Evolutionary Relationship ◽  
Principal Component ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Single Nucleotide ◽  
Marker Transferability ◽  
High Quality Snps ◽  
Simple Sequence

AbstractInformation of the Passiflora genome is still very limited. Understand the evolutionary relationship between different species of Passiflora, and develop a large number of SSR markers to provide a basis for the genetic improvement of Passiflora. Applying restriction site associated DNA sequencing (RAD-Seq) technology, we studied the phylogeny, simple sequence repeat (SSR) and marker transferability of 10 accessions of 6 species of Passiflora. Taking the partial assembly sequence of accessions P4 as the reference genome, we constructed the phylogenetic tree using the detected 46,451 high-quality single nucleotide polymorphisms (SNPs), showing that P6, P7, P8 and P9 were a single one while P5 and P10 were clustered together, and P1, P2, P3 and P4 were closer in genetic relationship. Using P8 as the reference genome, a total of 12,452 high-quality SNPs were used to construct phylogenetic tree. P3, P4, P7, P8, P9 and P10 were all single branch while P1 and P2 were clustered together, and P5 and P6 were clustered into one branch. A principal component analysis (PCA) revealed a similar population structure, which four cultivated passion fruits forming a tight cluster. A total of 2,614 SSRs were identified in the genome of 10 Passiflora accessions. The core motifs were AT, GA, AAG etc., 2-6 bases, 4-16 repeats, and 2,515 pairs of SSR primer were successfully developed. Tthe SSR transferability in cultivated passion fruits is the best. These results will contribute to the study of genomics and molecular genetics in passion fruit.

scholarly journals Whole genome sequence and genome-wide distributed single nucleotide polymorphisms (SNPs) of the Black Bengal goat

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 318
Author(s):  
Md. Bazlur Rahman Mollah ◽  
Md. Shamsul Alam Bhuiyan ◽  
M.A.M. Yahia Khandoker ◽  
Md. Abdul Jalil ◽  
Gautam Kumar Deb ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Single Nucleotide ◽  
Genome Wide ◽  
High Quality Snps ◽  
Black Goat ◽  
Black Bengal Goat

The Black Bengal goat (BBG) is a dwarf sized heritage goat (Capra hircus) breed from Bangladesh, and is well known for its high fertility, excellent meat and skin quality. Here we present the first whole genome sequence and genome-wide distributed single nucleotide polymorphisms (SNPs) of the BBG. A total of 833,469,900 raw reads consisting of 125,020,485,000 bases were obtained by sequencing one male BBG sample. The reads were aligned to the San Clemente and the Yunnan black goat genome which resulted in 98.65% (properly paired, 94.81%) and 98.50% (properly paired, 97.10%) of the reads aligning, respectively. Notably, the estimated sequencing coverages were 48.22X and 44.28X compared to published San Clemente and the Yunnan black goat genomes respectively. On the other hand, a total of 9,497,875 high quality SNPs (Q ≥ 20) along with 1,023,359 indels, and 8,746,849 high quality SNPs along with 842,706 indels were identified in BBG against the San Clemente and Yunnan black goat genomes respectively. The dataset is publicly available from NCBI BioSample (SAMN10391846), Sequence Read Archive (SRR8182317, SRR8549413 and SRR8549904), with BioProject ID PRJNA504436. These data might be useful genomic resources in conducting genome wide association studies, identification of quantitative trait loci (QTLs) and functional genomic analysis of the Black Bengal goat.

Genotyping by sequencing for SNP marker development in onion

Genome ◽  
2020 ◽  
Vol 63 (12) ◽  
pp. 607-613
Author(s):  
Joanne A. Labate ◽  
Jeffrey C. Glaubitz ◽  
Michael J. Havey
Keyword(s):  
Reference Genome ◽  
Nuclear Genome ◽  
Genotyping By Sequencing ◽  
Nucleotide Polymorphisms ◽  
Bioinformatics Pipeline ◽  
High Quality ◽  
Bioinformatics Analyses ◽  
High Quality Snps ◽  
Quality Markers ◽  
Dh Lines

Onion (Allium cepa) is not highly tractable for development of molecular markers due to its large (16 gigabases per 1C) nuclear genome. Single nucleotide polymorphisms (SNPs) are useful for genetic characterization and marker-aided selection of onion because of codominance and common occurrence in elite germplasm. We completed genotyping by sequencing (GBS) to identify SNPs in onion using 46 F2 plants, parents of the F2 plants (Ailsa Craig 43 and Brigham Yellow Globe 15-23), two doubled haploid (DH) lines (DH2107 and DH2110), and plants from 94 accessions in the USDA National Plant Germplasm System (NPGS). SNPs were called using the TASSEL 3.0 Universal Network Enabled Analysis (UNEAK) bioinformatics pipeline. Sequences from the F2 and DH plants were used to construct a pseudo-reference genome against which genotypes from all accessions were scored. Quality filters were used to identify a set of 284 high quality SNPs, which were placed onto an existing genetic map for the F2 family. Accessions showed a moderate level of diversity (mean He = 0.341) and evidence of inbreeding (mean F = 0.592). GBS is promising for SNP discovery in onion, although lack of a reference genome required extensive custom scripts for bioinformatics analyses to identify high quality markers.

scholarly journals Development of Molecular Markers for Predicting Radish (Raphanus sativus) Flesh Color Based on Polymorphisms in the RsTT8 Gene

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1386
Author(s):  
Soyun Kim ◽  
Keunho Yun ◽  
Han Yong Park ◽  
Ju Young Ahn ◽  
Ju Yeon Yang ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Raphanus Sativus ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cosmetic Industry ◽  
Natural Colorants ◽  
Health Promoting ◽  
Primer Sets ◽  
Red Radish ◽  
Simple Sequence

Red radish (Raphanus sativus L.) cultivars are a rich source of health-promoting anthocyanins and are considered a potential source of natural colorants used in the cosmetic industry. However, the development of red radish cultivars via conventional breeding is very difficult, given the unusual inheritance of the anthocyanin accumulation trait in radishes. Therefore, molecular markers linked with radish color are needed to facilitate radish breeding. Here, we characterized the RsTT8 gene isolated from four radish genotypes with different skin and flesh colors. Sequence analysis of RsTT8 revealed a large number of polymorphisms, including insertion/deletions (InDels), single nucleotide polymorphisms (SNPs), and simple sequence repeats (SSRs), between the red-fleshed and white-fleshed radish cultivars. To develop molecular markers on the basis of these polymorphisms for discriminating between radish genotypes with different colored flesh tissues, we designed four primer sets specific to the RsTT8 promoter, InDel, SSR, and WD40/acidic domain (WD/AD), and tested these primers on a diverse collection of radish lines. Except for the SSR-specific primer set, all primer sets successfully discriminated between red-fleshed and white-fleshed radish lines. Thus, we developed three molecular markers that can be efficiently used for breeding red-fleshed radish cultivars.

scholarly journals De Novo SNP Discovery and Genotyping of Iranian Pimpinella Species Using ddRAD Sequencing

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1342
Author(s):  
Shaghayegh Mehravi ◽  
Gholam Ali Ranjbar ◽  
Ghader Mirzaghaderi ◽  
Anita Alice Severn-Ellis ◽  
Armin Scheben ◽  
...  
Keyword(s):  
De Novo ◽  
Genetic Relationships ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Genomic Resources ◽  
High Quality Snps ◽  
The Family ◽  
Double Digestion ◽  
Flanking Sequences ◽  
Downstream Analysis

The species of Pimpinella, one of the largest genera of the family Apiaceae, are traditionally cultivated for medicinal purposes. In this study, high-throughput double digest restriction-site associated DNA sequencing technology (ddRAD-seq) was used to identify single nucleotide polymorphisms (SNPs) in eight Pimpinella species from Iran. After double-digestion with the enzymes HpyCH4IV and HinfI, a total of 334,702,966 paired-end reads were de novo assembled into 1,270,791 loci with an average of 28.8 reads per locus. After stringent filtering, 2440 high-quality SNPs were identified for downstream analysis. Analysis of genetic relationships and population structure, based on these retained SNPs, indicated the presence of three major groups. Gene ontology and pathway analysis were determined by using comparison SNP-associated flanking sequences with a public non-redundant database. Due to the lack of genomic resources in this genus, our present study is the first report to provide high-quality SNPs in Pimpinella based on a de novo analysis pipeline using ddRAD-seq. This data will enhance the molecular knowledge of the genus Pimpinella and will provide an important source of information for breeders and the research community to enhance breeding programs and support the management of Pimpinella genomic resources.

scholarly journals Authentication of Aspergillus parasiticus strains in the genome database of the National Center for Biotechnology Information

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Perng-Kuang Chang
Keyword(s):  
Aspergillus Parasiticus ◽  
Evolutionary Relationship ◽  
Cyclopiazonic Acid ◽  
Equivalent Strain ◽  
Nucleotide Polymorphisms ◽  
Genome Database ◽  
Single Nucleotide ◽  
Clonal Strain ◽  
Genome Wide ◽  
Genetic Features

Abstract Objective The use of genome sequences from strains authenticated to correct species level is a prerequisite for confidently exploring the evolutionary relationship among related species. Aspergillus strains erroneously curated as Aspergillus oryzae and Aspergillus fumigatus have been noticed in the National Center for Biotechnology Information (NCBI) genome database. Aspergillus parasiticus is one of several aspergilli that produce aflatoxin, the most potent carcinogenic mycotoxin known up to now. To ensure that valid conclusions are drawn by researchers from their genomics-related studies, molecular analyses were carried out to authenticate identities of A. parasiticus strains in the NCBI genome database. Results Two of the nine supposedly A. parasiticus strains, E1365 and NRRL2999, were found to be misidentified. They turned out to be Aspergillus flavus based on genome-wide single nucleotide polymorphisms (SNPs) and genetic features associated with production of aflatoxin and cyclopiazonic acid. NRRL2999 lacked the additional partial aflatoxin gene cluster known to be present in its equivalent strain, designated as SU-1, and shared a very low total SNPs count specifically with A. flavus NRRL3357 but not with other A. flavus isolates. Therefore, the mislabeled NRRL2999 strain actually is a clonal strain of A. flavus NRRL3357, whose genome was first sequenced in 2005.

scholarly journals Population Structure and Genetic Diversity in Korean Cowpea Germplasm Based on SNP Markers

Plants ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1190 ◽  
Author(s):  
Eunju Seo ◽  
Kipoong Kim ◽  
Tae-Hwan Jun ◽  
Jinsil Choi ◽  
Seong-Hoon Kim ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Principal Component ◽  
Snp Markers ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Useful Knowledge ◽  
Population Structure Analysis ◽  
Group 3 ◽  
Genetic Diversity Study

Cowpea is one of the most essential legume crops providing inexpensive dietary protein and nutrients. The aim of this study was to understand the genetic diversity and population structure of global and Korean cowpea germplasms. A total of 384 cowpea accessions from 21 countries were genotyped with the Cowpea iSelect Consortium Array containing 51,128 single-nucleotide polymorphisms (SNPs). After SNP filtering, a genetic diversity study was carried out using 35,116 SNPs within 376 cowpea accessions, including 229 Korean accessions. Based on structure and principal component analysis, a total of 376 global accessions were divided into four major populations. Accessions in group 1 were from Asia and Europe, those in groups 2 and 4 were from Korea, and those in group 3 were from West Africa. In addition, 229 Korean accessions were divided into three major populations (Q1, Jeonra province; Q2, Gangwon province; Q3, a mixture of provinces). Additionally, the neighbor-joining tree indicated similar results. Further genetic diversity analysis within the global and Korean population groups indicated low heterozygosity, a low polymorphism information content, and a high inbreeding coefficient in the Korean cowpea accessions. The population structure analysis will provide useful knowledge to support the genetic potential of the cowpea breeding program, especially in Korea.

scholarly journals Animal-ImputeDB: a comprehensive database with multiple animal reference panels for genotype imputation

2019 ◽  
Vol 48 (D1) ◽  
pp. D659-D667 ◽  
Author(s):  
Wenqian Yang ◽  
Yanbo Yang ◽  
Cecheng Zhao ◽  
Kun Yang ◽  
Dongyang Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Association Studies ◽  
Genotype Imputation ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Whole Genome Resequencing ◽  
Missing Genotypes

Abstract Animal-ImputeDB (http://gong_lab.hzau.edu.cn/Animal_ImputeDB/) is a public database with genomic reference panels of 13 animal species for online genotype imputation, genetic variant search, and free download. Genotype imputation is a process of estimating missing genotypes in terms of the haplotypes and genotypes in a reference panel. It can effectively increase the density of single nucleotide polymorphisms (SNPs) and thus can be widely used in large-scale genome-wide association studies (GWASs) using relatively inexpensive and low-density SNP arrays. However, most animals except humans lack high-quality reference panels, which greatly limits the application of genotype imputation in animals. To overcome this limitation, we developed Animal-ImputeDB, which is dedicated to collecting genotype data and whole-genome resequencing data of nonhuman animals from various studies and databases. A computational pipeline was developed to process different types of raw data to construct reference panels. Finally, 13 high-quality reference panels including ∼400 million SNPs from 2265 samples were constructed. In Animal-ImputeDB, an easy-to-use online tool consisting of two popular imputation tools was designed for the purpose of genotype imputation. Collectively, Animal-ImputeDB serves as an important resource for animal genotype imputation and will greatly facilitate research on animal genomic selection and genetic improvement.

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