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<title cf:type="text"><![CDATA[Editorial Office of Journal of Environmental Entomology -->Insect Behavior and Cognition]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research progress on cognitive behavior of social bees and wasps]]></title>
<link><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501012&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Research on animal cognition has primarily focused on vertebrates with relatively large brains, such as primates and birds. This paper reviews on the individual and collective cognition of social bees and wasps. Studies suggest that bees and wasps possess flexible cognitive abilities, including associative learning, self-recognition, tool use, and spatial navigation. Bees and wasps exhibit dopamine-based emotional states, which are influenced by food desires and individual experiences. Moreover, they demonstrate complex social cognitive behaviors, such as individual recognition, which is crucial for social interactions within colony. In addition, some bee species have been demonstrated to possess the ability to solve some non-natural tasks though training. These behaviors can spread through social learning, and retained within the population. Finally, the neural basis of cognitive behaviors in bees was reviewed, and the evidence points to the complex neuronal connections as the foundation for their cognitive abilities. This paper reviews recent advancements in the cognitive behaviors of bees and wasps, providing a new perspective on the evolution of animal cognition and behavior.]]></description>
<pubDate>2025/3/11 14:22:08</pubDate>
<category><![CDATA[Insect Behavior and Cognition]]></category>
<author><![CDATA[WEN Chao, ZHANG Jin-Qiu, ZHANG Cheng-Yang, GUO Yu-Hao, WANG Cai, GE Jing, WEN Jun-Bao]]></author>
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<atom:name>WEN Chao, ZHANG Jin-Qiu, ZHANG Cheng-Yang, GUO Yu-Hao, WANG Cai, GE Jing, WEN Jun-Bao</atom:name>
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<guid><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501012&flag=1]]></guid><cfi:id>5</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Secrets of ant colonies: “Computations” behind their collective behaviors]]></title>
<link><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501013&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This review explores the collective behaviors of ant colonies to understand how decentralized, self-organized systems achieve complex coordination, adaptability, and stability, which makes ant one of the most successful and widespread species globally. It highlights three key features of collective behavior behind the success of ant species that contribute to colony effectiveness: (1) individual heterogeneity, where varied traits support specialized roles within the colony; (2) task-oriented cooperation among individuals, allowing them to accomplish objectives beyond individual capacity; and (3) distributed decision-making and information flow, which optimize responses and resilience under changing conditions. Classic examples, including task allocation, cooperative transport, and quorum-based decision-making, illustrate how these three features enable ants to adapt flexibly to their environments. This review emphasizes the effect of mathematical modeling as a research framework, providing precise insights for these complex behaviors by quantitative analysis. Quantifying and modeling ant colony behaviors is of great significance for translating natural intelligence into scalable, adaptable solutions to human social problems.]]></description>
<pubDate>2025/3/11 14:22:08</pubDate>
<category><![CDATA[Insect Behavior and Cognition]]></category>
<author><![CDATA[GUO Xiao-Hui]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>GUO Xiao-Hui</atom:name>
</atom:author>
<guid><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501013&flag=1]]></guid><cfi:id>4</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[The differential regulation of octopamine and dopamine on olfactory learning and memory in Bactrocera dorsalis]]></title>
<link><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501014&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Octopamine (OA) and Dopamine (DA) are biological amines commonly found in insects and are involved in regulating learning and memory behaviors. OA and DA regulate insect physiological processes by binding specifically to their corresponding receptors, Octopamine receptors (OARs) and Dopamine receptors (DARs), respectively. The purpose of this study was to explore the differential regulatory effects of OA and DA on olfactory learning and memory retrieval in Bactrocera dorsalis through pharmacological intervention. The results showed that the injection of two OAR antagonists, phentolamine and yohimbine, significantly reduced reward-based olfactory learning in B. dorsalis but did not affect punishment-based olfactory learning. The effects of these antagonists were influenced by both injection concentration and time. In contrast, the injection of two DAR antagonists, SCH23390 and spiperone, significantly reduced punishment-based olfactory learning but had no effect on reward-based olfactory learning. The effects of these DAR antagonists were primarily influenced by injection concentration. In memory retrieval experiments, the injection of OAR antagonists significantly impaired the retrieval of reward-based memories but did not affect punishment-based memories. The effect of phentolamine was dependent on injection time, while the effect of yohimbine was dependent on injection concentration. On the other hand, the injection of DAR antagonists impaired the retrieval of both reward and punishment memories. Specifically, SCH23390 mainly reduced the retrieval of punishment-based olfactory memories, while spiperone primarily reduced the retrieval of reward-based olfactory memories. These results indicate that OA and DA play distinct roles in regulating olfactory learning and memory retrieval in B. dorsalis. The findings provide a theoretical foundation for developing behavior regulators targeting insect learning processes.]]></description>
<pubDate>2025/3/11 14:22:08</pubDate>
<category><![CDATA[Insect Behavior and Cognition]]></category>
<author><![CDATA[ZHANG Xue-Feng, LIN Tao, LIN Xiao-Jun, QU Jia-Bao, XIANG Qian, ZENG Xin-Nian, LIU Jia-Li]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHANG Xue-Feng, LIN Tao, LIN Xiao-Jun, QU Jia-Bao, XIANG Qian, ZENG Xin-Nian, LIU Jia-Li</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Acoustic simulation between assassin bug (Biasticus ventralis) and its prey, the stingless bee (Tetragonilla collina)]]></title>
<link><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501015&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Mimicry is a very common ecological adaptation phenomenon in nature and is also one of the most typical research cases to understand natural selection. However, most reported cases of mimicry are concentrated in the visual modality, and there are still few reports on the acoustic modality. This study reports a sound simulation case between Tetragonilla collina and Biasticus ventralis based on predator-prey relationships. We collected audio recordings of Homing T.collina, Outbound T. collina, and B. ventralis flying at the entrance of the T. collina stingless bee hive, and extracted and analyzed their audio recordings. Subsequently, multivariate statistical analysis was conducted on seven sound frequency parameters, including fundamental frequency, first harmonic, second harmonic, first frequency quartile, second frequency quartile, third frequency quartile, and spectral standard deviation, to compare their similarities. The results indicated that the partial least squares discriminant analysis based on 7 sound frequency parameters could effectively distinguish the sounds emitted by Homing and Outbound T. collina and the B. ventralis. According to the likelihood ratio chi square test, it was found that there was no significant difference (P>0.05) in the seven sound frequency parameters between the Homing T. collina and B. ventralis. Comparative analysis revealed that the simulation degree between T. collina and B. ventralis was high among two mimetic systems associated with T. collina. The discovery of this mimetic system provides a new research case for sound modality, and thus provides a certain reference basis for understanding the origin and evolution of mimicry from a multimodal perspective.]]></description>
<pubDate>2025/3/11 14:22:08</pubDate>
<category><![CDATA[Insect Behavior and Cognition]]></category>
<author><![CDATA[WEI Yu-Xin, WANG Zheng-Wei]]></author>
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<atom:name>WEI Yu-Xin, WANG Zheng-Wei</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Effects of different kinds of oils and antioxidants on the bait-transport behavior of Solenopsis invicta]]></title>
<link><![CDATA[http://hjkcxb.alljournals.net/hjkcxben/ch/reader/view_abstract.aspx?file_no=202501016&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[The red imported fire ant, Solenopsis invicta, is a significant health, agricultural and forest pest. Baiting is one of the main methods to control S. invicta. The fire ant bait is usually composed of three compounds, which are active ingredient (pesticide), carrier and oil. Previous studies showed that the type and concentration of pesticides, as well as size and color of carrier, significantly affected bait transport by S. invicta. However, few studies focused on the potential impact of kinds of oil on the foraging behavior of S. invicta. In this study, we conducted field studies to evaluate the effect of different liposoluble antioxidants (butylated hydroxyanisole, butylated hydroxytoluene, tert-butylhydroquinone, or propyl gallate) and oil (soybean oil, corn oil, coconut oil, palm oil, peanut oil, butter, or lard) on bait transport under field conditions. Results showed that adding antioxidants did not significantly affect bait transport. In addition, S. invicta transported significantly more corn-oil bait (0.73 ± 0.16 g) than that of coconut-oil bait (0.08 ± 0.03 g). We then conducted a laboratory experiment to compare the searching and transport behavior of S. invicta in response to bait containing corn or coconut oil. There was no significant difference in search duration between the two kinds of oils. However, the first particle of corn-oil bait was transported earlier than that of coconut-oil bait. Also, the transport amount was larger and the transport speed was higher. Our study provides insight for improving S. invicta bait.]]></description>
<pubDate>2025/3/11 14:22:08</pubDate>
<category><![CDATA[Insect Behavior and Cognition]]></category>
<author><![CDATA[WANG Lan-Feng, LI Xiao-Mei, MAO Lei, LIU Di, CHAI Zhen-Jie, YE Xiao-Li, LIN Wei-Qiang, LIANG Zi-Hao, WANG Cai, DU Cheng-Ju]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>WANG Lan-Feng, LI Xiao-Mei, MAO Lei, LIU Di, CHAI Zhen-Jie, YE Xiao-Li, LIN Wei-Qiang, LIANG Zi-Hao, WANG Cai, DU Cheng-Ju</atom:name>
</atom:author>
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