| Title |
Slow darkening of pinto bean seed coat is associated with significant metabolite and transcript differences related to proanthocyanidin biosynthesis
|
|---|---|
| Published in |
BMC Genomics, April 2018
|
| DOI | 10.1186/s12864-018-4550-z |
| Pubmed ID | |
| Authors |
Kishor Duwadi, Ryan S. Austin, Hemanta R. Mainali, Kirstin Bett, Frédéric Marsolais, Sangeeta Dhaubhadel |
| Abstract |
Postharvest seed coat darkening in pinto bean is an undesirable trait resulting in a loss in the economic value of the crop. The extent of darkening varies between the bean cultivars and their storage conditions. Metabolite analysis revealed that the majority of flavonoids including proanthocyanidin monomer catechin accumulated at higher level in a regular darkening (RD) pinto line CDC Pintium than in a slow darkening (SD) line 1533-15. A transcriptome analysis was conducted to compare gene expression between CDC Pintium and 1533-15 and identify the gene (s) that may play a role in slow darkening processes in 1533-15 pinto. RNAseq against total RNA from RD and SD cultivars found several phenylpropanoid genes, metabolite transporter genes and genes involved in gene regulation or modification to be differentially expressed between CDC Pintium and 1533-15. RNAseq analysis and metabolite data of seed coat tissue from CDC Pintium and 1533-15 revealed that the whole proanthocyanidin biosynthetic pathway was downregulated in 1533-15. Additionally, genes that encode for putative transporter proteins were also downregulated in 1533-15 suggesting both synthesis and accumulation of proanthocyanidin is reduced in SD pintos. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 5 | 16% |
| Other | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 31% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Mathematics | 1 | 3% |
| Chemistry | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2020.
All research outputs
#17,945,904
of 23,043,346 outputs
Outputs from BMC Genomics
#7,612
of 10,697 outputs
Outputs of similar age
#216,111
of 296,868 outputs
Outputs of similar age from BMC Genomics
#165
of 234 outputs
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