BMC Genomics | |
Soybean (Glycine max) SWEET gene family: insights through comparative genomics, transcriptome profiling and whole genome re-sequence analysis | |
Henry T. Nguyen4  Dong Xu2  Trupti Joshi2  Yang Liu2  Juhi Chaudhary4  Li Lin4  Li Song4  Humira Sonah4  Mingzhe Zhao1  Bjorn Nicander3  Silvas Prince4  Rupesh Deshmukh4  Babu Valliyodan4  Gunvant Patil4  | |
[1] Current address: Agronomy College of Shenyang Agricultural University, Shenyang, China;Department of Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia 65211, MO, USA;Department of Plant Biology and Forest Genetics and Linnean Center for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden;National Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia 65211, MO, USA | |
关键词: Soybean; Whole genome re-sequencing; Sink; Sugar transport; Effluxer; SWEET; | |
Others : 1222466 DOI : 10.1186/s12864-015-1730-y |
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received in 2014-12-29, accepted in 2015-06-26, 发布年份 2015 |
【 摘 要 】
Background
SWEET (MtN3_saliva) domain proteins, a recently identified group of efflux transporters, play an indispensable role in sugar efflux, phloem loading, plant-pathogen interaction and reproductive tissue development. The SWEET gene family is predominantly studied in Arabidopsis and members of the family are being investigated in rice. To date, no transcriptome or genomics analysis of soybean SWEET genes has been reported.
Results
In the present investigation, we explored the evolutionary aspect of the SWEET gene family in diverse plant species including primitive single cell algae to angiosperms with a major emphasis on Glycine max. Evolutionary features showed expansion and duplication of the SWEET gene family in land plants. Homology searches with BLAST tools and Hidden Markov Model-directed sequence alignments identified 52 SWEET genes that were mapped to 15 chromosomes in the soybean genome as tandem duplication events. Soybean SWEET (GmSWEET) genes showed a wide range of expression profiles in different tissues and developmental stages. Analysis of public transcriptome data and expression profiling using quantitative real time PCR (qRT-PCR) showed that a majority of the GmSWEET genes were confined to reproductive tissue development. Several natural genetic variants (non-synonymous SNPs, premature stop codons and haplotype) were identified in the GmSWEET genes using whole genome re-sequencing data analysis of 106 soybean genotypes. A significant association was observed between SNP-haplogroup and seed sucrose content in three gene clusters on chromosome 6.
Conclusion
Present investigation utilized comparative genomics, transcriptome profiling and whole genome re-sequencing approaches and provided a systematic description of soybean SWEET genes and identified putative candidates with probable roles in the reproductive tissue development. Gene expression profiling at different developmental stages and genomic variation data will aid as an important resource for the soybean research community and can be extremely valuable for understanding sink unloading and enhancing carbohydrate delivery to developing seeds for improving yield.
【 授权许可】
2015 Patil et al.
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