Exploration of NCBI Nucleotide Database and Sequence Retrieval. PB Kale (Molecular Biology and Biotechnology), Mahatma Phule Krushi Vidyapeeth, Rahuri

 Students' Self-Open-Learning Bioinformatics Lab

Exploration of NCBI Nucleotide Database and Sequence Retrieval

PB Kale (Molecular Biology and Biotechnology), Mahatma Phule Krushi Vidyapeeth, Rahuri

 

Aim: To explore the NCBI Nucleotide database, retrieve nucleotide sequences using accession numbers, examine their annotation, and download sequences in FASTA and GenBank formats.

Sequence Dataset: Use the following accession numbers; reference PP948896.1, PP948895.1, PP948894.1, PP948893.1, PP948892.1, PP948891.1

Requirements:

  1. Internet-enabled computer
  2. Web browser
  3. NCBI account (optional)

Procedure:

1. Open NCBI Nucleotide

Go to NCBI Nucleotide.

Image 1: Screenshot of the NCBI Nucleotide homepage with the search box highlighted.

2. Search the accession number-

Enter PP948896.1 in the search box and click Search.

Note: Repeat the procedure for all six accession numbers.

See image 1, showing PP948896.1 entered in the NCBI search box.

3. Examine the sequence record.

Open the record and note:

  • Accession and version
  • Definition/title
  • Organism
  • Sequence length
  • Molecule type
  • References
  • FEATURES: viz., gene, CDS, mRNA, etc. (learn for recording the data)

Image 2: Annotated GenBank format record with ACCESSION, VERSION, SOURCE/ORGANISM, FEATURES, and ORIGIN labelled.

4. View the GenBank format

Select GenBank from the display-format options.

Understand the difference:

  • GenBank: sequence + biological annotation
  • FASTA: sequence + identifier/header

5. Retrieve the FASTA sequence

Select FASTA and observe the sequence.

Use Send to → File → FASTA to save the sequence.

Save the six records as:

PP948896.1.fasta

PP948895.1.fasta

PP948894.1.fasta

PP948893.1.fasta

PP948892.1.fasta

PP948891.1.fasta

Image 3: Screenshot of the FASTA record and send to → File → FASTA option.

6. Record the observations: Complete the table and elaborate in the results section

Accession

Organism

Length (bp)

Gene/Feature

CDS

Sequence downloaded

Any other Feature/ Remark

PP948896.1

 

 

 

 

 

 

PP948895.1

 

 

 

 

 

 

PP948894.1

 

 

 

 

 

 

PP948893.1

 

 

 

 

 

 

PP948892.1

 

 

 

 

 

 

PP948891.1

 

 

 

 

 

 

 

7. Explore related information

For one record, examine available links to Gene, Protein, Taxonomy, BioProject, BioSample, or PubMed, as applicable.

Expected Learning

Students should be able to:

  • Search NCBI using an accession number.
  • Interpret a nucleotide/GenBank record.
  • Identify sequence versus annotation.
  • Retrieve and save FASTA sequences.
  • Understand accession number and version.
  • Record sequence information systematically for subsequent BLAST, MSA, phylogenetic, and primer-design exercises (further experiments).

Result/ interpretation:

The nucleotide sequences corresponding to PP948896.1, PP948895.1, PP948894.1, PP948893.1, PP948892.1 and PP948891.1 were successfully retrieved and documented from the NCBI Nucleotide database.

Do you know?

You can retrieve all the targeted sequences from NCBI

Refer to the link and select all accessions to view/retrieve the data in different file formats:

Link: https://www.ncbi.nlm.nih.gov/nuccore/?term=Kale+PB+AND+Bactrocera

You can try the same way we used in the experiment to download the data and use it for further analysis and documentation.

Reference:

1.       Collection of the nucleotide sequences: https://www.ncbi.nlm.nih.gov/nuccore/?term=Kale+PB+AND+Bactrocera

2.       NCBI Handbook & Tutorials (https://www.ncbi.nlm.nih.gov/guide/training-tutorials/).

Understanding Drought in Sorghum: What Science Reveals (PB Kale and Prachi Mahajan, Mahatma Phule Krishi Vidyapeeth, Rahuri)

Understanding Drought in Sorghum: What Science Reveals

(PB Kale and Prachi Mahajan, Mahatma Phule Krishi Vidyapeeth, Rahuri)

🌾 Why Sorghum Matters

Sorghum (Sorghum bicolor) is a lifeline crop for millions of farmers living in semi-arid and arid regions across Asia and Africa. In countries like India, where agriculture often depends on unpredictable rainfall, sorghum provides:

  • Food security (as a staple grain)
  • Fodder for livestock
  • Raw material for industries

Its natural ability to survive under harsh conditions makes it a “climate-resilient crop.” However, even sorghum is not immune to drought stress, which remains one of the biggest challenges to its productivity.

 

🌦️ The Problem: Drought Stress

Drought affects plants at multiple levels:

Development of Trait-Specific SSR Primers: A Step-by-Step Guide [PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth Rahuri]

 Development of Trait-Specific SSR Primers: A Step-by-Step Guide 

(A practical guide for research students)

PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth Rahuri

Simple Sequence Repeats (SSRs), also known as microsatellites, are short tandem repeats of 1–6 nucleotides widely distributed across genomes. Because of their high polymorphism, co-dominant inheritance, and reproducibility, SSR markers remain valuable tools in genetic diversity studies, QTL mapping, and marker-assisted selection. In many postgraduate research projects, particularly in plant biotechnology and molecular breeding, students develop trait-specific SSR primers based on genes associated with target traits such as drought tolerance, heat stress, disease resistance, or nutritional quality.


The following step-by-step guide outlines the general workflow used in research laboratories to develop gene-based SSR markers using sequence databases and bioinformatics tools.

1. Identify Candidate Genes Associated with the Trait

Guide to Download, Analyse Gene Expression at NCBI GEO [PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth Rahuri]

 Steps and Guide to Download and Analyze Gene Expression Data from NCBI GEO 

PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth Rahuri


Protocol 1: To Download Datasets

1. Open Web Browser:

   - Launch your preferred web browser (e.g., Chrome, Firefox, Safari).

   - In the address bar, type in the URL: [https://www.ncbi.nlm.nih.gov/geo/](https://www.ncbi.nlm.nih.gov/geo/) and press Enter. This will direct you to the Gene Expression Omnibus (GEO) homepage, a public repository for gene expression data.

2. Search for Datasets:

   - On the GEO homepage, locate the search bar.

   - Enter the keyword(s) relevant to your research or the specific GEO accession number (a unique identifier for a dataset) into the search box.

   - Click the 'Search' button to initiate the search. The website will display a list of search results matching your query.

3. View Search Results:

   - Browse through the search results. Each result will typically include a brief description and a hyperlink.

Evolution of microRNAs [PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth Rahuri]

Important Theories of MicroRNA (miRNA) Evolution

(PB Kale, Molecular Biology and Biotechnology, Mahatma Phule Krishi Vidyapeeth,  Rahuri)

MicroRNAs (miRNAs) are small non-coding RNA molecules that play critical roles in regulating gene expression. Their evolution has been a topic of significant research and several theories have been proposed to explain how miRNAs have evolved. Here are some of the important theories:

AI-generated image 

1. **The Origination from Hairpin Structures:**

   - **Theory:** miRNAs likely originated from simple hairpin structures within the genome.

   - **Details:** These hairpin structures could have initially formed accidentally but later were co-opted by the organism for regulatory purposes due to their ability to bind to mRNA targets and inhibit their translation.

2. **Duplication and Divergence:**

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