Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.

Blueberry is a kind of new rising popular perennial fruit with high healthful quality. It is of utmost importance to develop new blueberry varieties for different climatic zones to satisfy the demand of people in the world. Molecular marker assisted breeding is believed to be an ideal method for the...

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Main Authors: Yunsheng Wang, Muhammad Qasim Shahid, Fozia Ghouri, Sezai Ercişli, Faheem Shehzad Baloch, Fei Nie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0216299
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spelling doaj-3c326a4566c742b1909081a4dbb6513d2021-03-03T20:42:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01144e021629910.1371/journal.pone.0216299Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.Yunsheng WangMuhammad Qasim ShahidFozia GhouriSezai ErcişliFaheem Shehzad BalochFei NieBlueberry is a kind of new rising popular perennial fruit with high healthful quality. It is of utmost importance to develop new blueberry varieties for different climatic zones to satisfy the demand of people in the world. Molecular marker assisted breeding is believed to be an ideal method for the development of new blueberry varieties for its shorter breeding cycle than the conventional breeding. Simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs) markers are widely used molecular tools for marker assisted breeding, which could be detected at large scale by the transcriptome sequencing. Here, we sequenced the leaves transcriptome of 19 rabbiteye (Vaccinium ashei Reade), 13 southern highbush (Vaccinium. corymbosum L × native southern Vaccinium Spp) and 22 cultivars of northern highbush blueberry (Vaccinium corymbosum L) by using next generation sequencing technologies. A total of 80.825 Gb clean data with an average of about 12.525 million reads per cultivar were obtained. We assembled 58,968, 55,973 and 53,887 unigenes by using the clean data from rabbiteye, southern highbush and northern highbush blueberry cultivars, respectively. Among these unigenes, 3599, 3495 and 3513 unigenes were detected as candidate resistance genes in three blueberry crops. Moreover, we identified more than 8756, 9020, and 9198 SSR markers from these unigenes, and 7665, 4861, 13,063 SNPs from the annotated single copy unigenes, respectively. The results will be helpful for the molecular genetics and association analysis of blueberry and the basic molecular information of pest and disease resistance of blueberry, and would also offer huge number of molecular tools for the marker assisted breeding to produce blueberry cultivars with different adaptive characteristics.https://doi.org/10.1371/journal.pone.0216299
collection DOAJ
language English
format Article
sources DOAJ
author Yunsheng Wang
Muhammad Qasim Shahid
Fozia Ghouri
Sezai Ercişli
Faheem Shehzad Baloch
Fei Nie
spellingShingle Yunsheng Wang
Muhammad Qasim Shahid
Fozia Ghouri
Sezai Ercişli
Faheem Shehzad Baloch
Fei Nie
Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
PLoS ONE
author_facet Yunsheng Wang
Muhammad Qasim Shahid
Fozia Ghouri
Sezai Ercişli
Faheem Shehzad Baloch
Fei Nie
author_sort Yunsheng Wang
title Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
title_short Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
title_full Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
title_fullStr Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
title_full_unstemmed Transcriptome analysis and annotation: SNPs identified from single copy annotated unigenes of three polyploid blueberry crops.
title_sort transcriptome analysis and annotation: snps identified from single copy annotated unigenes of three polyploid blueberry crops.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Blueberry is a kind of new rising popular perennial fruit with high healthful quality. It is of utmost importance to develop new blueberry varieties for different climatic zones to satisfy the demand of people in the world. Molecular marker assisted breeding is believed to be an ideal method for the development of new blueberry varieties for its shorter breeding cycle than the conventional breeding. Simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs) markers are widely used molecular tools for marker assisted breeding, which could be detected at large scale by the transcriptome sequencing. Here, we sequenced the leaves transcriptome of 19 rabbiteye (Vaccinium ashei Reade), 13 southern highbush (Vaccinium. corymbosum L × native southern Vaccinium Spp) and 22 cultivars of northern highbush blueberry (Vaccinium corymbosum L) by using next generation sequencing technologies. A total of 80.825 Gb clean data with an average of about 12.525 million reads per cultivar were obtained. We assembled 58,968, 55,973 and 53,887 unigenes by using the clean data from rabbiteye, southern highbush and northern highbush blueberry cultivars, respectively. Among these unigenes, 3599, 3495 and 3513 unigenes were detected as candidate resistance genes in three blueberry crops. Moreover, we identified more than 8756, 9020, and 9198 SSR markers from these unigenes, and 7665, 4861, 13,063 SNPs from the annotated single copy unigenes, respectively. The results will be helpful for the molecular genetics and association analysis of blueberry and the basic molecular information of pest and disease resistance of blueberry, and would also offer huge number of molecular tools for the marker assisted breeding to produce blueberry cultivars with different adaptive characteristics.
url https://doi.org/10.1371/journal.pone.0216299
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