Evidence map›Paper›PMID 26162601›Full record

ArticleBMC genomics2015

Soybean (Glycine max) SWEET gene family: insights through comparative genomics, transcriptome profiling and whole genome re-sequence analysis.

Gunvant Patil, Babu Valliyodan, Rupesh Deshmukh, Silvas Prince, Bjorn Nicander, Mingzhe Zhao, Humira Sonah, Li Song, Li Lin, Juhi Chaudhary and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
22.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

127 citing papers in PubMed, 232 citations in OpenAlex.

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  12. GmSop20 Functions as a Key Coordinator of the Oil-To-Protein Ratio in Soybean Seeds.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  13. Identification and Expression Pattern Analysis ofInternational journal of molecular sciences · 2025
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67 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 3 countries.

Gunvant PatilNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. patilg@missouri.edu.
Babu ValliyodanNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. valliyodanb@missouri.edu.
Rupesh DeshmukhNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. rupesh0deshmukh@gmail.com.
Silvas PrinceNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. princesj@missouri.edu.
Bjorn NicanderDepartment of Plant Biology and Forest Genetics and Linnean Center for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden. Bjorn.Nicander@slu.se.
Mingzhe ZhaoNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. soyshen@126.com.
Humira SonahNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. biohuma@gmail.com.
Li SongNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. songli@missouri.edu.
Li LinNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. linl@missouri.edu.
Juhi ChaudharyNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. chaudharyj@missouri.edu.
Yang LiuDepartment of Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. ylmk2@mail.missouri.edu.
Trupti JoshiDepartment of Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. joshitr@missouri.edu.
Dong XuDepartment of Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. xudong@missouri.edu.
Henry T NguyenNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. nguyenhenry@missouri.edu.
University of Missouri · USSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSWEET (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.

resultsIn 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.

conclusionPresent 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.

Indexed as

Amino Acid MotifsAmino Acid SequenceArabidopsisChromosome MappingChromosomes, PlantComputational BiologyConserved SequenceGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenome, PlantGlycine maxMolecular Sequence DataMultigene FamilyOryzaPhylogenyPlant Proteins

Identifiers

PMID26162601
PMCPMC4499210
OpenAlexW1790303836

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.