Welcome To Website IAS

Hot news
Achievement

Independence Award

- First Rank - Second Rank - Third Rank

Labour Award

- First Rank - Second Rank -Third Rank

National Award

 - Study on food stuff for animal(2005)

 - Study on rice breeding for export and domestic consumption(2005)

VIFOTEC Award

- Hybrid Maize by Single Cross V2002 (2003)

- Tomato Grafting to Manage Ralstonia Disease(2005)

- Cassava variety KM140(2010)

Centres
Website links
Vietnamese calendar
Library
Visitors summary
 Curently online :  16
 Total visitors :  7456538

Deep learning for plant genomics and crop improvement
Sunday, 2020/09/20 | 06:02:42

Hai WangEmre CimenNisha SinghEdward Buckler

Curr. Opin. Plant Biol. 2020 Apr; 54:34-41.

Abstract

Our era has witnessed tremendous advances in plant genomics, characterized by an explosion of high-throughput techniques to identify multi-dimensional genome-wide molecular phenotypes at low costs. More importantly, genomics is not merely acquiring molecular phenotypes, but also leveraging powerful data mining tools to predict and explain them. In recent years, deep learning has been found extremely effective in these tasks. This review highlights two prominent questions at the intersection of genomics and deep learning: 1) how can the flow of information from genomic DNA sequences to molecular phenotypes be modeled; 2) how can we identify functional variants in natural populations using deep learning models? Additionally, we discuss the possibility of unleashing the power of deep learning in synthetic biology to create novel genomic elements with desirable functions. Taken together, we propose a central role of deep learning in future plant genomics research and crop genetic improvement.

 

See https://pubmed.ncbi.nlm.nih.gov/31986354/

 

Figure 2: Application of deep learning models on sequence variants.

Back      Print      View: 263

[ Other News ]___________________________________________________
  • Genome-wide analysis of autophagy-associated genes in foxtail millet (Setaria italica L.) and characterization of the function of SiATG8a in conferring tolerance to nitrogen starvation in rice.
  • Arabidopsis small nucleolar RNA monitors the efficient pre-rRNA processing during ribosome biogenesis
  • XA21-specific induction of stress-related genes following Xanthomonas infection of detached rice leaves.
  • Reducing the Use of Pesticides with Site-Specific Application: The Chemical Control of Rhizoctonia solani as a Case of Study for the Management of Soil-Borne Diseases
  • OsJRL, a rice jacalin-related mannose-binding lectin gene, enhances Escherichia coli viability under high-salinity stress and improves salinity tolerance of rice.
  • Production of lipopeptide biosurfactants by Bacillus atrophaeus 5-2a and their potential use in microbial enhanced oil recovery.
  • GhABF2, a bZIP transcription factor, confers drought and salinity tolerance in cotton (Gossypium hirsutum L.).
  • Resilience of cassava (Manihot esculenta Crantz) to salinity: implications for food security in low-lying regions.
  • Cellulose synthase complexes act in a concerted fashion to synthesize highly aggregated cellulose in secondary cell walls of plants
  • No adverse effects of transgenic maize on population dynamics of endophytic Bacillus subtilis strain B916-gfp
  • Identification and expression analysis of OsLPR family revealed the potential roles of OsLPR3 and 5 in maintaining phosphate homeostasis in rice
  • Functional analysis of molecular interactions in synthetic auxin response circuits
  • Titanium dioxide nanoparticles strongly impact soil microbial function by affecting archaeal nitrifiers.
  • Inducible Expression of the De-Novo Designed Antimicrobial Peptide SP1-1 in Tomato Confers Resistance to Xanthomonas campestris pv. vesicatoria.
  • Toward combined delignification and saccharification of wheat straw by a laccase-containing designer cellulosome
  • SNP-based discovery of salinity-tolerant QTLs in a bi-parental population of rice (Oryza sativa)
  • Pinpointing genes underlying the quantitative trait loci for root-knot nematode resistance in palaeopolyploid soybean by whole genome resequencing.
  • Transcriptome- Assisted Label-Free Quantitative Proteomics Analysis Reveals Novel Insights into Piper nigrum -Phytophthora capsici Phytopathosystem.
  • Brassinosteroids participate in the control of basal and acquired freezing tolerance of plants
  • Rapid hyperosmotic-induced Ca2+ responses in Arabidopsis thaliana exhibit sensory potentiation and involvement of plastidial KEA transporters

 

Designed & Powered by WEBSO CO.,LTD