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Floral transcriptomes reveal gene networks in pineapple floral growth and fruit development.


ABSTRACT: Proper flower development is essential for sexual reproductive success and the setting of fruits and seeds. The availability of a high quality genome sequence for pineapple makes it an excellent model for studying fruit and floral organ development. In this study, we sequenced 27 different pineapple floral samples and integrated nine published RNA-seq datasets to generate tissue- and stage-specific transcriptomic profiles. Pairwise comparisons and weighted gene co-expression network analysis successfully identified ovule-, stamen-, petal- and fruit-specific modules as well as hub genes involved in ovule, fruit and petal development. In situ hybridization confirmed the enriched expression of six genes in developing ovules and stamens. Mutant characterization and complementation analysis revealed the important role of the subtilase gene AcSBT1.8 in petal development. This work provides an important genomic resource for functional analysis of pineapple floral organ growth and fruit development and sheds light on molecular networks underlying pineapple reproductive organ growth.

SUBMITTER: Wang L 

PROVIDER: S-EPMC7483743 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Floral transcriptomes reveal gene networks in pineapple floral growth and fruit development.

Wang Lulu L   Li Yi Y   Jin Xingyue X   Liu Liping L   Dai Xiaozhuan X   Liu Yanhui Y   Zhao Lihua L   Zheng Ping P   Wang Xiaomei X   Liu Yeqiang Y   Lin Deshu D   Qin Yuan Y  

Communications biology 20200910 1


Proper flower development is essential for sexual reproductive success and the setting of fruits and seeds. The availability of a high quality genome sequence for pineapple makes it an excellent model for studying fruit and floral organ development. In this study, we sequenced 27 different pineapple floral samples and integrated nine published RNA-seq datasets to generate tissue- and stage-specific transcriptomic profiles. Pairwise comparisons and weighted gene co-expression network analysis suc  ...[more]

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