24 New Species Including a New Family of Amphipods Identified in Deep Sea Survey

Collage of the 24 new Amphipod species identified in Clarion-Clipperton Zone – credit, National Oceanographic Center, Southampton

A recent international survey of a deep sea zone near Mexico turned up 24 species of shrimp-like animals called amphipods, including a whole new taxonomic family, called Mirabestiidae.

The survey took place in the Clarion-Clipperton Zone (CCZ) between Hawaii and Mexico, where a fractious seabed can range in depth from 10,000 to 20,000 feet.

Over 10,000 species of amphipods have been described by science, yet they’re such a diverse order of animals, an expedition such as this can still scoop out handfuls of new ones—and in all different colors too.

“To find a new superfamily is incredibly exciting, and very rarely happens so this is a discovery we will all remember,” said Dr. Tammy Horton of the UK’s National Oceanographic Center (NOC) in Southampton.

“With more than 90% of species in the CCZ still unnamed, each species described is a vital step towards improving our understanding of this fascinating ecosystem.”

The NOC was joined by partners and aspiring scientists from all across Europe, as well as New Zealand and Canada, for a weeks-long taxonomy workshop organized at the University of Lodz, Poland, led by Dr. Anna Jażdżewska.

Location of the Clarion Clipperton Zone – credit USGS

The expedition and workshop were organized under the International Seabed Authority’s Sustainable Seabed Knowledge Initiative (SSKI) which aims to describe 1,000 new species by the end of the decade in order to possess a better understanding of deep-seabed biodiversity when making decisions about deep-sea mining.

“The team’s findings provide information that is crucial for future conservation and policy decisions, and it highlights how important it is for this work to continue,” Dr. Jażdżewska said in a statement.

Stretching 1.7 million square miles across the eastern Pacific Ocean, the CCZ was discovered by the Scripps Institution of Oceanography in 1954. It’s been an extremely well-surveyed area of the deep seabed, though that in itself isn’t saying much, and indeed 42% of all known deep sea species were first described in the CCZ.

The expedition uncovered a new family, called Mirabestiidae, and even a new superfamily Mirabestioidea, revealing completely new evolutionary branches. Two new genera were also discovered: Mirabestia and Pseudolepechinella.

For readers who lack a mental flowchart of taxonomy hierarchies, one famous family from above sea level is Felidae, containing all cats wild and domestic. Felidae is nested inside of the superorder Feliformia, which in addition to all the cats, contains civets, hyena, mongoose, and the curious fossa of Madagascar.

Two genera nested inside the family Felidae are Panthera, containing the tiger and the lion, and Lynx.

In the CCZ, students and professors alike reveled in pulling up one new species after another, before taking them back to a frigid Poland for analysis.Creatures were named in honor of both Horton and Jażdżewska, the organizers of the expedition and workshop, while others named species after relatives, impressions from the experience, and even a video game character that one of the amphipods resembled. 24 New Species Including a New Family of Amphipods Identified in Deep Sea Survey
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AI-powered digital stethoscopes show promise in bridging screening gaps

(Photo: Eko Health, US) IANS

New Delhi, As tuberculosis (TB) continues as the deadliest infectious cause of deaths globally, a new study has shown that artificial intelligence (AI)-enabled digital stethoscopes can help fill critical screening gaps, especially in hard-to-reach areas.

In a commentary published in the journal Med (Cell Press), global experts contended that stethoscopes combined with digital technology and AI can be a better option against the challenges faced in screening programmes, such as under-detection, high cost, and inequitable access.

“AI-enabled digital stethoscopes have demonstrated promising accuracy and feasibility for detecting lung and cardiovascular abnormalities, with promising results in early TB studies. Training and validation in diverse, high-burden settings are essential to explore the potential of this tool further,” said corresponding author Madhukar Pai from McGill University, Canada, along with researchers from the UAE, Germany, and Switzerland.

Despite advancements in screening and diagnostic tools, an estimated 2.7 million people with TB were missed by current screening programmes, as per data from the World Health Organization (WHO). Routine symptom screening is also likely to miss people with asymptomatic or subclinical TB.

While the WHO recently recommended several AI-powered computer-aided detection (CAD) software, as well as ultra-portable radiography hardware, higher operating costs and upfront hardware act as a deterrent.

This particularly appeared difficult in primary care settings and or among pregnant women due to radiation concerns.

At the same time, AI showed significant potential for screening, including applications beyond CAD of TB from radiographs, said the researchers.

“One application of AI for disease screening is to interpret acoustic (sound) biomarkers of disease, with potential to identify sounds that appear nonspecific or are inaudible to the human ear,” they added, while highlighting the potential of AI in detecting and interpreting cough biomarkers and lung auscultation to analyse breath sounds.

Studies from high-TB burden countries, including India, Peru, South Africa, Uganda, and Vietnam, highlighted that AI-enabled auscultation could hold promise as a TB screening and triage tool.

"AI digital stethoscopes may become useful alternatives to imaging-based approaches for TB screening, with the potential to democratise access to care for populations underserved by radiography," the researchers said."Importantly, AI digital stethoscopes offer a scalable, low-cost, and person-centered tool that could bring us closer to reaching TB case finding goals," they added. AI-powered digital stethoscopes show promise in bridging screening gaps | MorungExpress | morungexpress.com
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