Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers

Abstract Background Sugar apple (Annona squamosa L.), a popular fruit with high medicinal and nutritional properties, is widely cultivated in tropical South Asia and America. The malformed flower is a major cause for a reduction in production of sugar apple. However, little information is available...

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Main Authors: Kaidong Liu, Haili Li, Weijin Li, Jundi Zhong, Yan Chen, Chenjia Shen, Changchun Yuan
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Plant Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12870-017-1135-y
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spelling doaj-4e3e70cce28f41a395ea3f4d56152b282020-11-24T20:42:45ZengBMCBMC Plant Biology1471-22292017-10-0117111310.1186/s12870-017-1135-yComparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowersKaidong Liu0Haili Li1Weijin Li2Jundi Zhong3Yan Chen4Chenjia Shen5Changchun Yuan6Life Science and Technology School, Lingnan Normal UniversityLife Science and Technology School, Lingnan Normal UniversityLife Science and Technology School, Lingnan Normal UniversityLife Science and Technology School, Lingnan Normal UniversityLife Science and Technology School, Lingnan Normal UniversityCollege of Life and Environmental Sciences, Hangzhou Normal UniversityLife Science and Technology School, Lingnan Normal UniversityAbstract Background Sugar apple (Annona squamosa L.), a popular fruit with high medicinal and nutritional properties, is widely cultivated in tropical South Asia and America. The malformed flower is a major cause for a reduction in production of sugar apple. However, little information is available on the differences between normal and malformed flowers of sugar apple. Results To gain a comprehensive perspective on the differences between normal and malformed flowers of sugar apple, cDNA libraries from normal and malformation flowers were prepared independently for Illumina sequencing. The data generated a total of 70,189,896 reads that were integrated and assembled into 55,097 unigenes with a mean length of 783 bp. A large number of differentially expressed genes (DEGs) were identified. Among these DEGs, 701 flower development-associated transcript factor encoding genes were included. Furthermore, a large number of flowering- and hormone-related DEGs were also identified, and most of these genes were down-regulated expressed in the malformation flowers. The expression levels of 15 selected genes were validated using quantitative-PCR. The contents of several endogenous hormones were measured. The malformed flowers displayed lower endogenous hormone levels compared to the normal flowers. Conclusions The expression data as well as hormone levels in our study will serve as a comprehensive resource for investigating the regulation mechanism involved in floral organ development in sugar apple.http://link.springer.com/article/10.1186/s12870-017-1135-yA. squamosaNormal flowerMalformed flowerTranscriptomeDigital gene expressionPhytohormone
collection DOAJ
language English
format Article
sources DOAJ
author Kaidong Liu
Haili Li
Weijin Li
Jundi Zhong
Yan Chen
Chenjia Shen
Changchun Yuan
spellingShingle Kaidong Liu
Haili Li
Weijin Li
Jundi Zhong
Yan Chen
Chenjia Shen
Changchun Yuan
Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
BMC Plant Biology
A. squamosa
Normal flower
Malformed flower
Transcriptome
Digital gene expression
Phytohormone
author_facet Kaidong Liu
Haili Li
Weijin Li
Jundi Zhong
Yan Chen
Chenjia Shen
Changchun Yuan
author_sort Kaidong Liu
title Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
title_short Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
title_full Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
title_fullStr Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
title_full_unstemmed Comparative transcriptomic analyses of normal and malformed flowers in sugar apple (Annona squamosa L.) to identify the differential expressed genes between normal and malformed flowers
title_sort comparative transcriptomic analyses of normal and malformed flowers in sugar apple (annona squamosa l.) to identify the differential expressed genes between normal and malformed flowers
publisher BMC
series BMC Plant Biology
issn 1471-2229
publishDate 2017-10-01
description Abstract Background Sugar apple (Annona squamosa L.), a popular fruit with high medicinal and nutritional properties, is widely cultivated in tropical South Asia and America. The malformed flower is a major cause for a reduction in production of sugar apple. However, little information is available on the differences between normal and malformed flowers of sugar apple. Results To gain a comprehensive perspective on the differences between normal and malformed flowers of sugar apple, cDNA libraries from normal and malformation flowers were prepared independently for Illumina sequencing. The data generated a total of 70,189,896 reads that were integrated and assembled into 55,097 unigenes with a mean length of 783 bp. A large number of differentially expressed genes (DEGs) were identified. Among these DEGs, 701 flower development-associated transcript factor encoding genes were included. Furthermore, a large number of flowering- and hormone-related DEGs were also identified, and most of these genes were down-regulated expressed in the malformation flowers. The expression levels of 15 selected genes were validated using quantitative-PCR. The contents of several endogenous hormones were measured. The malformed flowers displayed lower endogenous hormone levels compared to the normal flowers. Conclusions The expression data as well as hormone levels in our study will serve as a comprehensive resource for investigating the regulation mechanism involved in floral organ development in sugar apple.
topic A. squamosa
Normal flower
Malformed flower
Transcriptome
Digital gene expression
Phytohormone
url http://link.springer.com/article/10.1186/s12870-017-1135-y
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