Thursday, September 21, 2023

 

Study shows simulator, combined with app, helps teachers correct mistakes before entering classroom


Results show with data, future educators improve practices before leading students on own


Peer-Reviewed Publication

UNIVERSITY OF KANSAS





LAWRENCE — When pilots, surgeons or others with high-stakes professions are learning their craft, they have simulators with which to practice. Now, a new study shows that a simulator, when combined with software to provide data on performance, can help teachers learn what mistakes to avoid before working with working in a real classroom.

A new study co-written by a researcher from the University of Kansas examined TeachLivE, or TLE, a simulator that allows pre-service teachers to deliver lessons in front of a virtual classroom of avatars. The avatars represent a diverse background of students with various personalities and academic skill levels. The simulator was combined with SeeMeTeach, or SMT, a recently developed web-based teacher observation app that provides real-time data on teacher performance. The results showed the simulation experience combined with personalized feedback data can support teachers’ practice of skills of their profession free of judgment while improving their performance.

The study, co-written with researchers Craig Berg and Raymond Scolavino from the University of Wisconsin-Milwaukee, was published in the journal Education Sciences. Co-author Lisa Dieker, Williamson Family Distinguished Professor in Special Education at KU, said the use of a teaching simulator can help future educators learn from their mistakes before leading a classroom of their own.

“We humans make mistakes, especially the first time we do things, and unfortunately for teachers, those mistakes are made on children,” Dieker said. “We want to ask, ‘How can we use this combined technology for developing targeted skills and helping teachers make the changes necessary?’ If you’re going to have a crash landing, let’s have it in front of an avatar.”

The mixed-reality technology features avatars that operate via AI combined with a human-in-the-loop as a user practices delivering lessons, calling on students, detecting inappropriate behavior and more. That is combined with a human user who can provide responses from students, based on the nuance of the situation and the users’ performance. SMT gathers real-time data on the teacher such as how many times they call on a certain student, how long they provide wait time for an answer and what section of the classroom draws the most attention.

Study results showed that users of the combined simulator and teaching data app used the data and feedback they gained to avoid repeating mistakes and even showed “teaching fingerprints,” or bodies of data on what they did right, and their strengths that indicated a unique teaching style.

Teacher training has traditionally relied on observation and written and verbal feedback. That method has stood the test of time, but the authors said it can be supplemented with technology that provides specific data about their performance.

“When teachers get specific information in the simulator, it not only helps them change their behaviors but to understand why they should,” Dieker said. “This work allows a lot of empowerment of the individual without being judgmental.”

The study found that teachers offering even a 15-minute lesson to avatars in TLE showed enough variation in how they interacted with student avatars to provide practice opportunities in a low-risk setting. And the data provided by the SMT app showed to be effective in helping them avoid repeating mistakes and taking lessons learned into practice. That can help all teacher educators achieve their goal of preparing great teachers who can provide students their best possible experiences from the beginnings of their careers, researchers said.

Dieker plans to continue researching ways teaching simulators and technology can help educators hone their craft before entering classrooms. That can prove especially important to students with novice teachers.

“A teacher can make or break your future,” Dieker said. “All other simulators take a logical, linear pathway. This simulator can do things you can’t through methods like role play or classroom observation. I want to help make a first-year teacher look like a third-year. Our most vulnerable students often have new teachers. I am confident emerging technology in simulation, artificial intelligence, biometrics and neurophysiological data collection can help us understand the differences between expert and novice teachers to better prepare and support all teachers.”

 

AI helps bring clarity to LASIK patients facing cataract surgery


Scientists develop computer models of patients’ eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them

Peer-Reviewed Publication

UNIVERSITY OF ROCHESTER

Susana Marcos Lab 

IMAGE: SUSANA MARCOS, THE DAVID R. WILLIAMS DIRECTOR OF THE CENTER FOR VISUAL SCIENCE AND THE NICHOLAS GEORGE PROFESSOR OF OPTICS AND OF OPHTHALMOLOGY, SAYS THE COMPUTATIONAL SIMULATIONS DEVELOPED BY ROCHESTER RESEARCHERS PROVIDE SURGEONS WITH IMPORTANT GUIDANCE ON THE EXPECTED OPTICAL QUALITY FOR LASIK PATIENTS AFTER CATARACT SURGERY. view more 

CREDIT: UNIVERSITY OF ROCHESTER PHOTO / J. ADAM FENSTER




While millions of people have undergone LASIK eye surgery since it became commercially available in 1989, patients sometimes develop cataracts later in life and require new corrective lenses to be implanted in their eyes. With an increasing number of intraocular lens options becoming available, scientists have developed computational simulations to help patients and surgeons see the best options.

In a study in the Journal of Cataracts & Refractive Surgery, researchers from the University of Rochester created computational eye models that included the corneas of post-LASIK surgery patients and studied how standard intraocular lenses and lenses designed to increase depth of focus performed in operated eyes. Susana Marcos, the David R. Williams Director of the Center for Visual Science and the Nicholas George Professor of Optics and of Ophthalmology at Rochester, says the computational models that use anatomical information of the patient’s eye provide surgeons with important guidance on the expected optical quality post-operatively.

“Currently the only pre-operative data used to select the lens is essentially the length and curvature of the cornea,” says Marcos, a coauthor of the study. “This new technology allows us to reconstruct the eye in three dimensions, providing us the entire topography of the cornea and crystalline lens, where the intraocular lens is implanted. When you have all this three-dimensional information, you’re in a much better position to select the lens that will produce the best image at the retinal plane.”

The future of optical coherence tomography

Marcos and her collaborators from the Center for Visual Science, as well as Rochester’s Flaum Eye Institute and Goergen Institute for Data Science, are conducting a larger study to quantify in three dimensions the eye images using the optical coherence tomography quantification tools they’ve developed to find broader trends. They are using machine-learning algorithms to find relationships between pre- and post-operation data, providing parameters that can inform the best outcomes.

Additionally, they have developed technology that can help patients see for themselves what different lens options will look like.

“What we see is not strictly the image that is project on the retina,” says Marcos. “There is all the visual processing and perception that comes in. When surgeons are planning the surgery, it is very difficult for them to convey to the patients how they are going to see. A computational, personalized eye model tells which lens is the best fit for the patient’s eye anatomy, but patients want to see for themselves.”

With an optical bench, the researchers use technology originally developed for astronomy, such as adaptive optics mirrors and spatial light modulators, to manipulate the optics of the eye as an intraocular lens would. The approach allows Marcos and her collaborators to perform fundamental experiments and collaborate with industry partners to test new products. Marcos also helped develop a commercial headset version of the instrumentation called SimVis Gekko that allows patients to see the world around them as if they had had the surgery.

In addition to studying techniques to help treat cataracts, the researchers are applying their methods to study other major eye conditions, including presbyopia and myopia.

AFTER TURING

The Tong test: a new approach to evaluating artificial general intelligence


Peer-Reviewed Publication

ENGINEERING

An illustration of the architecture of the Tong test platform. 

IMAGE: THE ARCHITECTURE CONSISTS OF THREE MAIN PARTS: INFRASTRUCTURE, DEPSI ENVIRONMENTS, AND EVALUATION TOOLS. WITH THE SUPPORT OF PHYSICALLY AND SOCIALLY REALISTIC TASK GENERATION, THE TONG TEST PLATFORM PROVIDES A STANDARDIZED TEST PIPELINE FOR EVALUATING AND BENCHMARKING AGI MODELS. PC: PERSONAL COMPUTER. view more 

CREDIT: YUJIA PENG ET AL.



We are pleased to announce a breakthrough in the evaluation of artificial general intelligence (AGI) with the introduction of the Tong test (where “Tong” corresponds to the pronunciation of the Chinese character of “general,” as in “artificial general intelligence”), as proposed by a recent perspective article published in Engineering. This innovative approach aims to provide a standardized, quantitative, and objective evaluation system for AGI by focusing on dynamic embodied physical and social interactions (DEPSI).

The rapid advancement of the generative pre-trained transformer (GPT) series has brought AGI to the forefront of the artificial intelligence (AI) field. However, defining and evaluating AGI remained a challenge. The Tong test offers a fresh perspective on AGI evaluation by emphasizing the importance of DEPSI as a framework.

Traditionally, AI benchmarks have been task-oriented, but the Tong test shifts the focus towards ability- and value-oriented evaluations. The virtual platform proposed in the Tong test supports embodied AI in training and testing, enabling AI agents to acquire information, learn, and fine-tune their values and abilities interactively.

The Tong test proposes five critical characteristics that can serve as AGI benchmarks: infinite tasks, self-driven task generation, value alignment, causal understanding, and embodiment. These characteristics form the basis for a systemic evaluation system that allows for the delineation of AGI milestones through a virtual environment with DEPSI.

Unlike classical AI testing systems, the Tong test provides a more comprehensive and inclusive evaluation approach. It combines a general algorithmic testing paradigm with a human–AI interaction-based testing paradigm, taking inspiration from the philosophy of the Turing test. The Tong test’s virtual platform generates unlimited tasks with dynamic embodied interaction scenarios, covering various dimensions of abilities and values.

The Tong test platform incorporates essential components such as infrastructure, DEPSI environments, and evaluation tools. This combination provides a practical pathway for building an embodied platform with infinite tasks, where AI algorithms can be evaluated onsite with human interactions.

By introducing the Tong test, this perspective article paves the way for a standardized and objective evaluation system for AGI. It offers theoretical guidance for the development of AI algorithms while emphasizing the importance of DEPSI in evaluating AGI.

The authors of the perspective article believe that the Tong test has the potential to drive the field of AGI evaluation forward by promoting standardized, quantitative, and objective benchmarks. This will not only contribute to the further development of AGI but also foster greater transparency and understanding in the AI community.

The paper “The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions” has been published in Engineering, authored by Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu. Full text of the open access paper: https://doi.org/10.1016/j.eng.2023.07.006. For more information about the Engineering, follow us on Twitter (https://twitter.com/EngineeringJrnl) & Like us on Facebook (https://www.facebook.com/EngineeringPortfolio).

 

Using satellite data to enhance global food security


Peer-Reviewed Publication

INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS




Accurate estimates and forecasts of crop area and yield play an important role in guiding policy decisions related to food security, especially in light of the growing impacts of climate change. IIASA researchers and colleagues highlight the value of integrating remote sensing and data sharing for timely agricultural information critical for food security and sustainability planning in a new paper.    

Real-time crop monitoring has become increasingly important, particularly for addressing climate-induced losses and damages, as discussed during the last United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (CoP27). Initiatives like GEOGLAM and the Agricultural Market Information System (AMIS) have traditionally contributed to monitoring global food security by relying on existing data about crop locations and agricultural productivity. However, these systems often provide static information based on past data at a coarse resolution.

To address current limitations and advance real-time, global-scale crop monitoring, the WorldCereal project, funded by the European Space Agency (ESA), has created an open-source, highly scalable system. This system utilizes openly available Sentinel-1 and 2 satellite data provided by the EU Copernicus program, which offer high spatial and temporal resolution (10 m resolution with revisit times of five days or less). In 2021, the system demonstrated its capability to provide seasonal cropland information, crop-specific maps for maize and cereals, and irrigation maps.

In their paper published in Nature Food, IIASA researcher Linda See and colleagues from ESA, the Flemish Institute for Technological Research’s VITO Remote Sensing, Stellenbosch University, and the Food and Agriculture Organization of the United Nations (FAO), highlight the potential for the system to incorporate greater crop-specific data, thereby boosting the accuracy of subnational and national agricultural statistics. According to the authors, this enhancement in data quality and gap-filling techniques would significantly improve capacity to monitor domestic situations and contribute to established international protocols, including FAO questionnaires concerning production and land use statistics, UNFCCC initiatives, and the Sustainable Development Goals (SDGs).

A key innovation of the project is its community-based, open, and harmonized global reference database, which contains 75 million samples from 2017 onwards, which was contributed by many different organizations and individual projects worldwide. To fully realize its potential, the researchers say, steps should be taken to evolve the project into a cloud-based, sustainable platform with diverse operational models.

“ESA’s WorldCereal project leverages high-resolution satellite imagery to generate near real-time information about crop types and irrigation. This advancement is just the beginning, as it opens doors for continual improvement and global collaboration,” explains See, lead author and a senior researcher in the Novel Data Ecosystems for Sustainability Research Group of the IIASA Advancing Systems Analysis Program. “The system can be used in a demand-driven manner to cater to the needs of various user communities, potentially encouraging countries to not only provide on-site data, but also enhance cropland maps through the incorporation of local knowledge and data.”

The WorldCereal system demonstrates the power of integrating remote sensing, machine learning, and shared reference data, offering critical agricultural production and yield estimates for food security and sustainability planning. While it demands significant investment, the benefits of having high-resolution, data-rich agricultural information, supported by an engaged global community, far outweigh the costs.

“In collaboration with international organizations like the FAO, national agencies can leverage this technology to enhance their agricultural statistics and reporting capabilities to support global initiatives like the UNFCCC and the SDGs,” says study author Sven Gilliams, WorldCereal project manager at VITO.

The authors point out that, while the community-based nature of the WorldCereal system offers many benefits, there are still gaps that need to be filled with data from various regions and sources. There is however great scope for improvement through contributions from public and private organizations, as well as emerging data types like street view imagery and citizen science.

Reference
See, L., Gilliams, S., Conchedda, G., Degerickx, J., Van Tricht, K., Fritz, S., Lesiv, M., Laso Bayas, J.C., Rosero, J., Tubiello, F.N., and Szantoi, Z. (2023). Dynamic global-scale crop and irrigation monitoring. Nature Food DOI: 10.1038/s43016-023-00841-7

 

About IIASA:
The International Institute for Applied Systems Analysis (IIASA) is an international scientific institute that conducts research into the critical issues of global environmental, economic, technological, and social change that we face in the twenty-first century. Our findings provide valuable options to policymakers to shape the future of our changing world. IIASA is independent and funded by prestigious research funding agencies in Africa, the Americas, Asia, and Europe. www.iiasa.ac.at

 

We could sequester CO2 by “re-greening” arid lands, plant scientists say


Peer-Reviewed Publication

CELL PRESS

The agricultural carbon cycle 

IMAGE: ANNUAL GROWTH RATE OF ATMOSPHERIC C POOLS (BLUE ARROW) IS THE DIFFERENTIAL OF EMISSIONS FROM FOSSIL FUELS (9.6 GT C), LAND USE CHANGE (1.2 GT C), AND UPTAKE OF C INTO TERRESTRIAL (3.1 GT C) AND OCEANIC (2.9 GT C) C POOLS. ONLY LAND-BASED C FLUXES ARE SHOWN HERE view more 

CREDIT: TRENDS IN PLANT SCIENCE, HIRT ET AL.




Reducing CO2 levels in the atmosphere will take more than cutting emissions—we will also need to capture and store the excessive volumes of already-emitted carbon. In an opinion paper publishing in the journal Trends in Plant Science on September 21, a team of plant scientists argue that arid lands such as deserts could be one answer to the carbon-capture problem.

The authors argue that we could transform arid ecosystems into efficient carbon-capture systems with improved soil health, enhanced photosynthetic efficiency, and larger root biomass by engineering ideal combinations of plants, soil microbes, and soil type to facilitate a naturally occurring biogeochemical process called the oxalate-carbonate pathway to create below-ground carbon sinks.

“Re-greening deserts by restoration of ecosystem functions, including carbon sequestration, should be the preferential approach,” writes the research team, led by senior author and plant scientist Heribert Hirt of King Abdullah University of Science and Technology. “The advantage of reclaiming arid regions for re-greening and carbon sequestration is that they do not compete with lands used in agriculture and food production.”

The method takes advantage of arid-adapted plants that produce oxalates—ions containing carbon and oxygen that might ring a bell if you’re unlucky enough to suffer from kidney stones or gout. Some soil microbes use oxalates as their sole carbon source, and in doing so, they excrete carbonate molecules into the soil. Carbonate usually breaks down quickly, but if these plant-microbe systems are grown in alkaline- and calcium-rich soils, the carbonate reacts with calcium to form stable deposits of calcium carbonate.

Carbon naturally cycles between the atmosphere, oceans, and terrestrial ecosystems, but human actions have resulted in the accumulation of excess CO2 in the atmosphere. Even if we can reduce CO2 emissions, the researchers write that the “...climate effects of elevated CO2 will remain irreversible for at least 1,000 years unless CO2 can be sequestered from the atmosphere.”  

Trees are considered an ideal system for carbon capture, but reforestation competes directly with agriculture for arable land. In contrast, arid lands, which constitute approximately one-third of terrestrial surfaces, are not utilized for agriculture.

Currently, arid ecosystems support very little plant life, with the lack of water being the biggest limiting factor. However, some plants have adapted to arid life by evolving different mechanisms for coping with the lack of water and extreme temperatures. Some arid-adapted plants have special root systems for reaching deep into the soil to tap hidden water sources while others use different forms of photosynthesis that allow them to minimize water loss during the hottest parts of the day. Yet others, so-called “oxalogenic” plants, produce large amounts of oxalates that they can convert into water during times of drought. Some of the carbon from these oxalates is deposited below-ground as carbon deposits when oxalogenic plants are grown under certain conditions, and it’s this mechanism that the authors want to exploit for carbon sequestration.

“Overall, in this form of carbon sequestration, one out of every sixteen photosynthetically fixed carbon atoms might be sequestered into carbonates,” the authors write.

Amplifying this naturally occurring biogeochemical process in arid lands could convert these currently unproductive and degraded ecosystems into carbon sinks with healthier soil and plants, the authors say.  They suggest beginning with “fertility islands”—small pockets of re-greened habitat from which the plants and microbes can spread to form a carpet of vegetation.

The authors estimate that these approaches could result in significant increases in both plant and soil carbon sequestration in less than ten years. However, they note that the success and speed of the proposed method will depend on the rate of plant growth (which tends to be slow under water-scarce conditions) and “...will also depend on the financial and political means to apply this technology in various arid countries."

###

This work was supported by grants from the King Abdullah University of Science and Technology.

Trends in Plant Science, Hirt et al., “Engineering carbon sequestration on arid lands” https://www.cell.com/trends/plant-science/fulltext/S1360-1385(23)00271-6

Trends in Plant Science (@TrendsPlantSci), published by Cell Press, is a monthly review journal that features broad coverage of basic plant science, from molecular biology through to ecology. Aimed at researchers, students, and teachers, its articles are authoritative and written by both leaders in the field and rising stars. Visit: http://www.cell.com/trends/plant-science. To receive Cell Press media alerts, please contact press@cell.com.

 

Greenwashing a threat to a ‘nature positive’ world


Peer-Reviewed Publication

UNIVERSITY OF QUEENSLAND




Researchers have identified the threat greenwashing poses to a ‘nature positive’ world, one where environmental decline halts and biodiversity outcomes improve.

The concept of nature positive – often seen as the biodiversity version of a ‘net zero’ climate goal – depicts a planet where nature genuinely improves globally, going beyond current efforts that largely focus on mitigating harm.

The University of Queensland’s Professor Martine Maron, who led the work, said nature positive is essential to stopping the world’s current mass extinction event.

“Countries around the world are starting to back the concept – more than 90 world leaders have signed on to the Leaders’ Pledge for Nature calling for a nature positive future by 2030.

“And 11 of the global Fortune 100 companies already aspire to contribute to nature positive.

“This is fantastic news, but these laudable ambitions mustn’t be sidelined by a well-known enemy of the environmental movement: greenwash.”

Greenwash refers to misleading or deceptive publicity disseminated by an organisation to present an environmentally responsible public image.

Professor E.J. Milner-Gulland from the University of Oxford said they hope the public don’t get the proverbial wool pulled over their eyes.

“Our message to the public is that it’s incredibly important to scrutinise these claims,” Professor Milner-Gulland said.

“As with the term ‘net zero’, you’ll soon start to see the businesses you buy from, and the governments you vote for, making claims that they are being, doing, or contributing to nature positive.

“But to be clear, such an achievement is only possible if we fundamentally change how we run our society and economy.

“What we really need are standards, so that it’s clear what constitutes misleading information, and transparency, so that consumers and voters can tell the greenwash from the genuine efforts for change.”

Australia is currently framing its national environmental law reforms around the concept of nature positive.

“For these initiatives to truly achieve that goal, they’ll need to be substantial and far-reaching, preventing the accumulation of further impacts, especially on our threatened biodiversity,” Professor Maron said.

“Hundreds of thousands of hectares of habitat are still being cleared in Australia every year, so we still have a long way to go before we can say we’re nature positive.”

The research is published in Nature Ecology & Evolution.

 

Disparities in emergency medicine residents’ performance assessments by race, ethnicity, and sex


Peer-Reviewed Publication

JAMA NETWORK



About The Study: This analysis of assessments of 2,708 emergency medicine residents found evidence of sex-specific ethnoracial disparities in ratings on the Milestones assessments. These disparities increased over time across multiple Milestones assessments and were most severe for female residents of ethnoracial groups that are underrepresented in medicine. 

Authors: Elle Lett, Ph.D., M.A., M.Biostat., of the University of Washington School of Public Health in Seattle, is the corresponding author. 

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/ 

(doi:10.1001/jamanetworkopen.2023.30847)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Embed this link to provide your readers free access to the full-text article 

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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication. 

 

This parasitic plant convinces hosts to grow into its own flesh—it’s also an extreme example of genome shrinkage


Peer-Reviewed Publication

UNIVERSITY OF BRITISH COLUMBIA

Balanophora_1.jpg 

IMAGE: BALANOPHORA SHED ONE THIRD OF ITS GENES AS IT EVOLVED INTO AN UBER-STREAMLINED PARASITIC PLANT, ACCORDING TO NEW RESEARCH BY A TEAM LED BY SCIENTISTS AT BGI RESEARCH, AND INCLUDING BOTANISTS FROM THE UNIVERSITY OF BRITISH COLUMBIA. view more 

CREDIT: ZE WEI, PLANT PHOTO BANK OF CHINA, NATURE PLANTS




If you happen to come across plants of the Balanophoraceae family in a corner of a forest, you might easily mistake them for fungi growing around tree roots. Their mushroom-like structures are actually inflorescences, composed of minute flowers.

But unlike some other parasitic plants that extend an haustorium into host tissue to steal nutrients, Balanophora induces the vascular system of their host plant to grow into a tuber, forming a unique underground organ with mixed host-parasite tissue. This chimeric tuber is the interface where Balanophora steals nutrients from its host plant.

But how these subtropical extreme parasitic plants evolved into their current form piqued the interest of Dr. Xiaoli Chen, a scientist with BGI Research and lead author of a new study published this week in Nature Plants.

Dr. Chen and colleagues—including University of British Columbia botanist Dr. Sean Graham—compared the genomes of Balanophora and Sapria, another extreme parasitic plant in the family Rafflesiaceae that has a very different vegetative body.

The study revealed Sapria and Balanophora have lost 38 per cent and 28 per cent of their genomes respectively, while evolving to become holoparasitic—record shrinkages for flowering plants.

“The extent of similar, but independent gene losses observed in Balanophora and Sapria is striking,” said Dr. Chen. “It points to a very strong convergence in the genetic evolution of holoparasitic lineages, despite their outwardly distinct life histories and appearances, and despite their having evolved from different groups of photosynthetic plants.”

The researchers found a near-total loss of genes associated with photosynthesis in both Balanophora and Sapria, as would be expected with the loss of photosynthestic capability. 

But the study also revealed a loss of genes involved in other key biological processes—root development, nitrogen absorption, and regulation of flowering development. The parasites have shed or compacted a large fraction of the gene families normally found in green plants—the large sets of duplicated gene plants that tend to perform related biological functions. This supports the idea that the parasites retain only those genes or gene copies that are essential.

Most astonishingly, genes related to the synthesis of a major plant hormone, abscisic acid (ABA), which is responsible for plant stress responses and signaling, have been lost in parallel in Balanophora and Sapria. Despite this, the researchers still recorded accumulation of the ABA hormone in flowering stems of Balanophora, and found that genes involved in the response to ABA signaling are still retained in the parasites. 

"The majority of the lost genes in Balanophora are probably related to functions essential in green plants, which have become functionally unnecessary in the parasites,” said Dr. Graham. 

“That said, there are probably instances where the gene loss was actually beneficial, rather than reflecting a simply loss of function. The loss of their entire ABA biosynthesis pathway may be a good example. It may help them to maintain physiological synchronization with the host plants. This needs to be tested in the future."

Dr. Huan Liu, a researcher at BGI Research, emphasized the significance of the study in the context of 10KP—a project to sequence the genomes of 10,000 plant species. 

"The study of parasitic plants deepens our understanding of dramatic genomic alterations and the complex interactions between parasitic plants and their hosts. The genomic data provides valuable insights into the evolution and genetic mechanisms behind the dependency of parasitic plants on their hosts, and how they manipulate host plants to survive."

Balanophora shed one third of its genes as it evolved into an uber-streamlined parasitic plant, according to new research by a team led by scientists at BGI Research, and including botanists from the University of British Columbia.

CREDIT

Xiaoli Chen, BGI Research, Nature Plants