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Genome-Wide Analyses of the Soybean F-Box Gene Family in Response to Salt Stress.


ABSTRACT: The F-box family is one of the largest gene families in plants that regulate diverse life processes, including salt responses. However, the knowledge of the soybean F-box genes and their roles in salt tolerance remains limited. Here, we conducted a genome-wide survey of the soybean F-box family, and their expression analysis in response to salinity via in silico analysis of online RNA-sequencing (RNA-seq) data and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) to predict their potential functions. A total of 725 potential F-box proteins encoded by 509 genes were identified and classified into 9 subfamilies. The gene structures, conserved domains and chromosomal distributions were characterized. There are 76 pairs of duplicate genes identified, including genome-wide segmental and tandem duplication events, which lead to the expansion of the number of F-box genes. The in silico expression analysis showed that these genes would be involved in diverse developmental functions and play an important role in salt response. Our qRT-PCR analysis confirmed 12 salt-responding F-box genes. Overall, our results provide useful information on soybean F-box genes, especially their potential roles in salt tolerance.

SUBMITTER: Jia Q 

PROVIDER: S-EPMC5412402 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Genome-Wide Analyses of the Soybean F-Box Gene Family in Response to Salt Stress.

Jia Qi Q   Xiao Zhi-Xia ZX   Wong Fuk-Ling FL   Sun Song S   Liang Kang-Jing KJ   Lam Hon-Ming HM  

International journal of molecular sciences 20170412 4


The F-box family is one of the largest gene families in plants that regulate diverse life processes, including salt responses. However, the knowledge of the soybean F-box genes and their roles in salt tolerance remains limited. Here, we conducted a genome-wide survey of the soybean F-box family, and their expression analysis in response to salinity via in silico analysis of online RNA-sequencing (RNA-seq) data and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) to predict  ...[more]

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