Biology subjects

Paudel, D.

Publications and source records attributed to Paudel, D..

3 recordsLinked to original sources

bioRxiv2023

A chromosome-scale and haplotype-resolved genome assembly of tetraploid blackberry (Rubus L. subgenus Rubus Watson)

BackgroundBlackberries (Rubus subgenus Rubus) are a major berry crop consumed globally for being a rich source of anthocyanins and antioxidants, and their unique flavor. However, breeding for fruit improvement in blackberry has been significantly hindered by the scarcity of genomic resources and the genetic complexity of traits. The blackberry genome has been particularly challenging to assemble, largely due to its polyploid nature. FindingsWe present the first chromosome-scale and haplotype-phased genome assembly for the cultivated primocane-fruiting, thornless tetraploid blackberry selection BL1 (Rubus L. subgenus Rubus Watson). The tetraploid genome assembly was generated using the Oxford Nanopore Technology (ONT) and Hi-C scaffolding, comprising 919 Mb placed on 27 pseudochromosomes with an N50 of 35.73 Mb. The assembly covers >92% of the genome length and contains over 98% of complete BUSCOs. Repetitive sequences constitute 57% of the assembly, with the long terminal repeats (LTR) being the most abundant class. A total of 87,968 protein-coding genes were predicted, of which, 82% were functionally annotated. Gene expression analyses identified candidate genes and transcription factors related to thornlessness in blackberries, including MYB16, lysine histidine transporters, PDR1, Caffeoyl-CoA, glycosylphosphatidylinositol-anchored lipid protein transfer 1, DRN, beta-ketoacyl reductase, and homocysteine S-methyltransferase 3. ConclusionsThe utility of this genome has been demonstrated in this study by identifying candidate genes related to thornlessness in blackberry. Resequencing of tetraploid blackberry cultivars/selections with different horticultural characteristics revealed genes that could impact fruiting habit and disease resistance/susceptibility. This tetraploid reference genome will serve as a valuable resource to accelerate genetic analysis and breeding of this important berry crop, enabling the development of improved varieties with enhanced traits.

plant biology↗

bioRxiv2022

AT-hook DNA-binding motif-containing protein one knockdown downregulates EWS-FLI1 transcriptional activity in Ewings sarcoma cells

Ewings sarcoma is the second most common bone malignancy in children or young adults and is caused by an oncogenic transcription factor by a chromosomal translocation between the EWSR1 gene and the ETS transcription factor family. However, the transcriptional mechanism of EWS-ETS fusion proteins is still unclear. To identify the transcriptional complexes of EWS-ETS fusion transcription factors, we applied a proximal labeling system called BioID in Ewings sarcoma cells. We identified AHDC1 as a proximal protein of EWS-ETS fusion proteins. AHDC1 knockdown showed a reduced cell growth and transcriptional activity of EWS-FLI1. AHDC1 knockdown also reduced BRD4 and BRG1 protein levels, both known as interacting proteins of EWS-FLI1. In addition, AHDC1 co-localized with BRD4. Our results suggest that AHDC1 supports cell growth through EWS-FLI1.

cancer biology↗

bioRxiv2021

Genome-wide association study reveals candidate genes for flowering time in cowpea (Vigna unguiculata Walp)

Cowpea (Vigna unguiculata [L.] Walp., diploid, 2n = 22) is a major crop used as a protein source for human consumption as well as a quality feed for livestock. It is drought and heat tolerant and has been bred to develop varieties that are resilient to changing climates. Plant adaptation to new climates and their yield are strongly affected by flowering time. Therefore, understanding the genetic basis of flowering time is critical to advance cowpea breeding. The aim of this study was to perform genome-wide association studies (GWAS) to identify marker trait associations for flowering time in cowpea using single nucleotide polymorphism (SNP) markers. A total of 367 accessions from a cowpea minicore collection were evaluated in Ft. Collins, CO in 2019 and 2020, and 292 accessions were evaluated in Citra, FL in 2018. These accessions were genotyped using the Cowpea iSelect Consortium Array that contained 51,128 SNPs. GWAS revealed seven reliable SNPs for flowering time that explained 8-12% of the phenotypic variance. Candidate genes including FT, GI, CRY2, LSH3, UGT87A2, LIF2, and HTA9 that are associated with flowering time were identified for the significant SNP markers. Further efforts to validate these loci will help to understand their role in flowering time in cowpea, and it could facilitate the transfer of some of this knowledge to other closely related legume species.

genetics↗