Thursday, March 28, 2024


Scientists discover how Diadem butterfly mimics African Queen



UNIVERSITY OF EXETER
Diadem and African Queen butterflies 

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THE DIADEM (BOTTOM BUTTERFLY OF EACH PAIR) TASTES GOOD TO BIRDS AND THEREFORE MIMICS THE AFRICAN QUEEN (TOP BUTTERFLY OF EACH PAIR) WHICH IS DISTASTEFUL AS IT FEEDS ON MILKWEEDS. AS THE AFRICAN QUEEN DIFFERS IN EACH PART OF AFRICA, THE DIADEM ALSO HAS COLOUR MORPHS THAT CAN MIMIC EACH FORM OF THE QUEEN, THUS LOCALLY REINFORCING THE CORRECT LOCAL WARNING COLOURATION.

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CREDIT: UNIVERSITY OF EXETER




Scientists have discovered how female Diadem butterflies have evolved to look like African Queen butterflies to repel predators.

African Queens are toxic, making them poor food for predators such as birds.

Diadems are actually good prey for birds – but they have evolved colours and patterns that closely match those of African Queens, making them appear toxic.

The new study – by a team including the universities of Exeter, Edinburgh and Cambridge, and Mpala Research Centre in Kenya – found that, surprisingly, different genes control these patterns in the two species.

“Since the time of Darwin, Wallace and Bates, people have wondered how different butterflies have evolved to appear the same – and now we know,” said Professor Richard ffrench-Constant, from the Centre for Ecology and Conservation on Exeter’s Penryn Campus in Cornwall.

“Our findings present a compelling instance of convergent evolution, whereby species independently evolve similar traits.

“We also find evidence of adaptive atavism in the Diadem – when a species reverts to a state found in its ancestors.

“In this case, Diadem butterflies have re-evolved an ancestral wing pattern and repurposed it to mimic the Africa Queen, providing a major advance in our understanding of how tasty species mimic those that are toxic.”

Different patterns are found on African Queen butterflies in north, east, south and west Africa – and the patterns on female Diadem butterflies in each area match these.

In contrast, male Diadems have distinctive dark wings with large white patches – possibly because the need to be recognised by the female outweighs the need to hide.

“This is amazing, as the males and females look like totally different butterflies, even though they share the same genome,” said Dr Dino Martins, who was the director of Mpala at the time all the butterflies were collected.

The study used “haplotagging”, a linked-read sequencing technology, and a new analytical tool called Wrath to study the genomes of multiple butterflies from the two different species.

“These new techniques can give us unique insights into the molecular population genetics of this fascinating example of Batesian mimicry,” said Dr Simon Martin, from the University of Edinburgh, one of the coauthors on the study.

Among the different funders was a Discovery Grant from the National Geographic Society, showing how blue skies research into butterflies can fundamentally change our understanding of evolution.

The paper, published in the journal Molecular Biology and Evolution, is entitled: “Transposable element insertions are associated with Batesian mimicry in the pantropical butterfly Hypolimnas misippus.”

 

Occurrence of antibiotic resistance genes in the western Qinghai Lake basin



KEAI COMMUNICATIONS CO., LTD.
Nitrate increased the diversity and abundances of microbial community in water ecosystem of the western Qinghai Lake basin 

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NITRATE INCREASED THE DIVERSITY AND ABUNDANCES OF MICROBIAL COMMUNITY IN WATER ECOSYSTEM OF THE WESTERN QINGHAI LAKE BASIN, BUT HAS NO EFFECT ON THE DISTRIBUTION OF ARGS. IN CONTRAST TO MICROBIOLOGY, INTI1 PROMOTED THE SPREAD OF ARGS IN THAT WATER ECOSYSTEM.

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CREDIT: CHENXI WU, ET AL.




Antibiotic resistance genes (ARGs) have been widely detected in water, sediment, gut and even the phycosphere of algae. In strong anthropogenic activity areas, antibiotic resistance caused by ARGs can pose a significant threat to human health. Despite the numerous published studies on the occurrence and distribution of ARGs in these areas, there is a dearth of literature on the presence and dispersal of ARGs in remote and pristine environments with limited antibiotic usage.

Qinghai Lake, located in the northeastern part of the Qinghai-Tibet Plateau, is the largest saltwater lake in mainland China. Notably, it is an important water body for maintaining ecological security. The typical geographical and humanistic features of the Qinghai Lake basin, especially in the northern region, are high altitude (more than 3,000 m), oxygen-deficient environment, low temperature, and sparse human population. Due to governmental protection and national nature reserve policies, the Qinghai Lake basin is less affected by anthropogenic activity. Nevertheless, it must be acknowledged that the Qinghai Lake basin is a closed watershed with no river outflow. As such, the lake can easily become a sink of ARGs from the watershed and surrounding rivers. In light of this unique geographical background, no prior investigations have explored the occurrence and transmission of ARGs under varied nutrient conditions within the Qinghai Lake basin.

To that end, a team of researchers in China investigated the microbial community and ARGs in two typical rivers of the western Qinghai Lake basin.

“We found that the microbial community was unique in the western Qinghai Lake basin,” shares Chenxi Wu, corresponding author of the study.“Specifically, cold-resistant Planomicrobium sp. was the predominant genus due to the low temperature.”

Furthermore, the team noted that although ARGs in the western Qinghai Lake basin were significantly lower than that in strong anthropogenic activity areas, a strong correlation between ARGs and intI1 indicated the potential rapid proliferation and spread of ARGs through cross- or co-selection if antibiotic pollution occurs in that area.

The team's findings, published in the KeAi journal Water Biology and Security, emphasized the adaptation of bacteria to the environment and the facilitation of anthropogenic activity in the propagation of ARGs in natural environments.

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Contact the author: Jia Jia & Chenxi Wu, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China, jia263319@ihb.ac.cn; chenxi.wu@ihb.ac.cn

The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).

 Case Western Reserve University researchers report rise in global fungal drug-resistant infections


Researchers issue call to action to address and prevent growing problem



CASE WESTERN RESERVE UNIVERSITY


CLEVELAND—A global wave of infections caused by fungi growing drug-resistant has the medical community issuing precautions on how to protect yourself.

Skin contact with microorganisms found in soil or on hard surfaces, such as common shower facilities, or exposure to infected pets, can result in fungal infections known as dermatomycoses. Rashes, itching, burning and skin irritation are among the symptoms. 

Epidemiological data published in Microbial Cell indicates that a rise in severe fungal infections has resulted in over 150 million cases annually and almost 1.7 million fatalities globally.

In a recent study published in Pathogens and Immunity, Thomas McCormick and Mahmoud Ghannoum, professors of dermatology at the Case Western Reserve University School of Medicine and affiliated with University Hospitals Cleveland Medical Center, explain how rising antifungal resistance is worsening the problem of invasive fungal infections.

“This is not just an issue that affects individual patients,” McCormick said. “The World Health Organization has recognized it as a widespread threat that has the potential to impact entire healthcare systems if left unchecked.”

Based on their findings, the researchers issued precautions and a “call to action” for the medical community to help protect people from multidrug-resistant fungi—starting with awareness and education.

“Healthcare providers must prioritize the use of diagnostic tests when faced with an unknown fungal infection,” Ghannoum said. “Early detection can make all the difference in improving patient outcomes.”

Patients treated with medications to protect the immune system after cancer and transplant procedures are more vulnerable to fungal infections—making them especially more vulnerable to infections from drug-resistant fungi, the researchers said. 

The emergence of multidrug-resistant fungal species, such as Candida auris and Trichophyton indotineae, is especially troubling and requires urgent attention, they reported. 

In a study recently published in Emerging Infectious Diseases, Ghannoum’s research team and the Centers for Disease Control and Prevention (CDC), detailed a case that demonstrated Trichophyton indotineae, in addition to becoming drug-resistant, was also sexually transmissible.  

To address the growing health concern, McCormick and Ghannoum suggest several measures:

  • Increased awareness and education: Raising awareness in the general healthcare setting to obtain a more accurate understanding of the rise of antifungal-resistant infections.
  • Diagnostic Testing:  Routine use of diagnostic tests can guide appropriate treatment strategies.
  • Antifungal Susceptibility Testing (AST): Improving insurance reimbursement rates for AST and increasing the number of qualified laboratories with the capacity to perform these tests.
  • Call to Action: Addressing the emerging challenge of antifungal resistance involves concerted efforts from healthcare professionals, researchers, policymakers and the pharmaceutical industry to develop and implement strategies for managing and preventing antifungal resistance.

“The ultimate goal of these measures,” Ghannoum said, “is to improve the quality of patient care by ensuring effective treatment and preventing further escalation of the problem.” 

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About Case Western Reserve University

Case Western Reserve University is one of the country's leading private research institutions. Located in Cleveland, we offer a unique combination of forward-thinking educational opportunities in an inspiring cultural setting. Our leading-edge faculty engage in teaching and research in a collaborative, hands-on environment. Our nationally recognized programs include arts and sciences, dental medicine, engineering, law, management, medicine, nursing, and social work. About 6,200 undergraduate and 6,100 graduate students comprise our student body. Visit case.edu to see how Case Western Reserve thinks beyond the possible.

About University Hospitals / Cleveland, Ohio
Founded in 1866, University Hospitals serves the needs of patients through an integrated network of 21 hospitals (including five joint ventures), more than 50 health centers and outpatient facilities, and over 200 physician offices in 16 counties throughout northern Ohio. The system’s flagship quaternary care, academic medical center, University Hospitals Cleveland Medical Center, is affiliated with Case Western Reserve University School of Medicine, Northeast Ohio Medical University, Oxford University, the Technion Israel Institute of Technology and National Taiwan University College of Medicine. The main campus also includes the UH Rainbow Babies & Children's Hospital, ranked among the top children’s hospitals in the nation; UH MacDonald Women's Hospital, Ohio's only hospital for women; and UH Seidman Cancer Center, part of the NCI-designated Case Comprehensive Cancer Center. UH is home to some of the most prestigious clinical and research programs in the nation, with more than 3,000 active clinical trials and research studies underway. UH Cleveland Medical Center is perennially among the highest performers in national ranking surveys, including “America’s Best Hospitals” from U.S. News & World Report. UH is also home to 19 Clinical Care Delivery and Research Institutes. UH is one of the largest employers in Northeast Ohio with more than 30,000 employees. Follow UH on LinkedIn
Facebook and Twitter. For more information, visit UHhospitals.org.

 

AS ABOVE, SO BELOW

Harnessing computational intelligence for 3D modeling of maize canopies



NANJING AGRICULTURAL UNIVERSITY THE ACADEMY OF SCIENCE
Fig. 1. 

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THE COMPLETE METHODOLOGICAL PROCESS.

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CREDIT: PLANT PHENOMICS




Understanding the structure of crop canopies is essential for optimizing crop production as it significantly influences resource utilization efficiency, yield and stress resistance. While research has integrated canopy studies into various agricultural practices, the construction of  accurate 3D models remains challenging due to complex spatial distributions and technological limitations. Current methods struggle to capture detailed morphological data due to issues such as resolution and cost. To address these issues, there is an emerging interest in applying Computational Intelligence (CI) techniques. These techniques have shown promise in various agricultural applications but haven’t  yet been  explored for constructing  3D models of maize canopies.

In March 2024, Plant Phenomics published a research article entitled by “Three-dimensional modelling of maize canopies based on computational intelligence”. This research aims to integrate CI into 3D plant canopy modeling, particularly focusing on overcoming the challenges of internal occlusion and resource competition among densely planted crops.

The study presents a computational intelligence-based 3D modeling method for maize canopies, focusing on visualizing and validating the structure of maize canopies across different planting densities and varieties. Using this method, 3D models for the JNK728 and JK968 maize varieties were constructed at densities of 3, 6, and 9×10^4 plants per hectare. The mothed demonstrated the method's ability to capture the effects of planting density on canopy structure, including increased shading and adjustments in leaf azimuth angles to optimize light capture. The  models were validated and showed significant improvements in simulating the distribution of leaf azimuth angles, The R2 values indicated a high degree of consistency with measured data, especially after optimization through a reflective approach.

 The study also validated the models' accuracy in representing canopy coverage, showing a correlation with actual canopy conditions and highlighting the models' limitations in capturing elements like fallen leaves and weeds. The distribution of leaf azimuth angles close to 90° increases with planting density, suggesting an adaptive response of maize leaves to environmental stress by aligning more perpendicular to the row direction. This trend was further validated through the construction of 3D models across a gradient of planting densities.

The computational process, though time-intensive, highlights the efficiency and potential of computational intelligence in 3D canopy modeling. The iterative optimization of sunlit leaf area ratios and the intelligent adjustment of 3D phytomers' azimuth angles reflect the application of swarm intelligence principles to crop canopy modeling. The study highlights the significance of  precise crop  canopy modeling to comprehend plant competition for light resources. It suggests further enhancements and future work to improve the models' accuracy and practicality by considering a broader range of environmental factors and incorporating more detailed phenotypic and growth information.

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References

Authors

Yandong  Wu1,2 ,  Weiliang  Wen2,3,4 ,  Shenghao  Gu2,3,  Guanmin  Huang2,3,4,  Chuanyu Wang2,3, Xianju Lu2,3,4, Pengliang Xiao1,2, Xinyu Guo2,3*, Linsheng Huang1*

†  These authors contributed equally to the article.

Affiliations

1National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China.

2Information  Technology  Research  Center,  Beijing  Academy  of  Agriculture  and  Forestry  Sciences,  Beijing  100097, China.

3Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.

4Nongxin Science & Technology (Beijing) Co., Ltd, Beijing 100097, China

About Linsheng Huang

He is currently a Professor and the Deputy Director of the National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University. His research interests include quantitative remote sensing applications in crop diseases and insect pests.