Researchers in Pakistan are deploying DNA barcoding, bioinformatics, and artificial intelligence to map the country’s diverse insect populations.
Pakistan’s insect ecosystems range from the grasshoppers of arid plains to agricultural aphids and forest butterflies. Traditionally, studying these organisms required examining physical traits under a microscope. When physical characteristics reach their diagnostic limits due to damaged specimens, immaturity, or shared visual traits, bioinformatics reads the unalterable ledger coded inside cellular DNA.
National DNA Barcode Survey Reveals Hidden Biodiversity Gaps
A national survey conducted between 2010 and 2019 examined insect material collected from 1,858 sites across Pakistan. The effort generated 50,592 barcode records. Of those records, 49,363 were assigned to 6,590 Barcode Index Numbers within the global Barcode of Life Data System database.
A Barcode Index Number serves as a practical working proxy name for a species. When researchers analyze a short fragment of insect DNA, the database compares it with existing records and clusters similar specimens into groups under a specific BIN code. This allows scientists to group insects belonging to the same species even if their formal scientific name remains unknown.
The resulting dataset provided Pakistan with its first comprehensive DNA barcode profile and marked the first survey of its kind in South Asia. However, the analysis highlighted significant knowledge gaps: only 21 percent of the recorded BINs matched species with existing names in global databases. Furthermore, 59 percent of the BINs had been recorded in the database solely from Pakistan at the time of the analysis, underscoring how much of the local insect landscape remains unmapped.
Decoding Whitefly Complexes and Insecticide Resistance in Punjab and Sindh
Bioinformatics plays a critical role when researchers investigate agricultural pests that look identical to the naked eye. For instance, the whitefly Bemisia tabaci
appears as a single small white insect, but scientists recognize it as a complex of closely related species that differ in how they transmit plant viruses and react to chemical insecticides.
In a study examining whitefly specimens collected from 255 locations across Punjab and Sindh, researchers added 173 records to genetic databases. The analysis divided the material into 15 BINs, identified several putative species, and isolated a previously unknown genetic group labeled Pakistan
.
Subsequent research went beyond short barcode fragments by comparing the whole genome of the Asia II 1 whitefly against a reference genome of MEAM1, a highly invasive biotype of the sweetpotato whitefly recognized globally as a destructive agricultural pest capable of transmitting crop viruses and rapidly evolving chemical resistance.
The genomic comparison identified approximately 2.33 million single-letter DNA differences, known as SNPs, alongside 202,479 insertions and deletions. Researchers also found variants across 14 genes previously linked to potential insecticide resistance, demonstrating the practical value of bioinformatics in tracking pest evolution.
По теме
