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A Developmental Transcriptome Map for Allotetraploid Arachis hypogaea.


ABSTRACT: The advent of the genome sequences of Arachis duranensis and Arachis ipaensis has ushered in a new era for peanut genomics. With the goal of producing a gene atlas for cultivated peanut (Arachis hypogaea), 22 different tissue types and ontogenies that represent the full development of peanut were sequenced, including a complete reproductive series from flower to peg elongation and peg tip immersion in the soil to fully mature seed. Using a genome-guided assembly pipeline, a homeolog-specific transcriptome assembly for Arachis hypogaea was assembled and its accuracy was validated. The assembly was used to annotate 21 developmental co-expression networks as tools for gene discovery. Using a set of 8816 putative homeologous gene pairs, homeolog expression bias was documented, and although bias was mostly balanced, there were striking differences in expression bias in a tissue-specific context. Over 9000 alterative splicing events and over 6000 non-coding RNAs were further identified and profiled in a developmental context. Together, this work represents a major new resource for cultivated peanut and will be integrated into peanutbase.org as an available resource for all peanut researchers.

SUBMITTER: Clevenger J 

PROVIDER: S-EPMC5043296 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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A Developmental Transcriptome Map for Allotetraploid <i>Arachis hypogaea</i>.

Clevenger Josh J   Chu Ye Y   Scheffler Brian B   Ozias-Akins Peggy P  

Frontiers in plant science 20160930


The advent of the genome sequences of <i>Arachis duranensis</i> and <i>Arachis ipaensis</i> has ushered in a new era for peanut genomics. With the goal of producing a gene atlas for cultivated peanut (<i>Arachis hypogaea</i>), 22 different tissue types and ontogenies that represent the full development of peanut were sequenced, including a complete reproductive series from flower to peg elongation and peg tip immersion in the soil to fully mature seed. Using a genome-guided assembly pipeline, a  ...[more]

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