Biology subjects

Huang, J.-f.

Publications and source records attributed to Huang, J.-f..

3 recordsLinked to original sources

bioRxiv2021

Explicit expression of mesophyll conductance in the traditional leaf photosynthesis-transpiration coupled model and its physiological significances

O_LIAlmost all terrestrial biosphere models (TBMs) still assume infinite mesophyll conductance (gm) to estimate photosynthesis and transpiration. This assumption has caused low accuracy of TBMs to predict leaf gas exchange under certain conditions. C_LIO_LIIn this study, we developed a photosynthesis-transpiration coupled model that explicitly considers gm and designed an optimized parameterization solution through evaluating four different gm estimation methods in 19 C3 species at 31 experimental treatments. C_LIO_LIResults indicated that temperature responses of the maximum carboxylation rate (Fcmax) and the electron transport rate (Jmax) estimated by fusing the Bayesian retrieval algorithm and the Sharkey online calculator together with gm temperature response estimated by fusing the chlorophyll fluorescence-gas exchange method and anatomy method predicted leaf gas exchange more accurately. The gm temperature response exhibited activation energy ({Delta}Ha) of 63.13 {+/-} 36.89 kJ mol-1 and entropy ({Delta}S) of 654.49 {+/-} 11.36 J K-1 mol-1. The gm optimal temperature (Topt_gm) explained 58% of variations in photosynthesis optimal temperature (ToptA). The gm explicit expression has equally important effects on photosynthesis and transpiration estimations. C_LIO_LIResults advanced understandings of better representation of plant photosynthesis and transpiration in TBMs. C_LI

ecology↗

bioRxiv2020

Distinct natural syllable-selective neuronal ensembles in the primary auditory cortex of awake marmosets

Marmosets are highly social non-human primates living in families. They exhibit rich vocalization, but neural basis underlying complex vocal communication is largely unknown. Here we report the existence of specific neuronal ensembles in marmoset A1 that respond selectively to distinct monosyllable or disyllable calls made by conspecific marmosets. These neurons were spatially dispersed within A1 but distinct from those responsive to pure tones. Syllable-selective responses were markedly diminished when individual domains of the syllable were deleted or the domain sequence was altered, indicating the importance of global rather than local spectral-temporal properties of the sound. Disyllable-selective responses also disappeared when the sequence of the two monosyllable components was reversed or their interval was extended beyond 1 second. Light anesthesia largely abolished disyllable-selective responses. Our findings demonstrate extensive inhibitory and facilitory interactions among syllable-evoked responses, and provide the basis for further study of circuit mechanisms underlying vocal communication in awake non-human primates.

neuroscience↗

bioRxiv2018

Local Homogeneity of Tonotopic Organization in the Primary Auditory Cortex of Marmosets

Marmoset has emerged as a useful non-human primate species for studying the brain structure and function. Previous studies on the mouse primary auditory cortex (A1) showed that neurons with preferential frequency tuning responses are mixed within local cortical regions, despite a large-scale tonotopic organization. Here we found that frequency tuning properties of marmoset A1 neurons are highly uniform within local cortical regions. We first defined tonotopic map of A1 using intrinsic optical imaging, and then used in vivo two-photon calcium imaging of large neuronal populations to examine the tonotopic preference at the single-cell level. We found that tuning preferences of layer 2/3 neurons were highly homogeneous over hundreds of micrometers in both horizontal and vertical directions. Thus, marmoset A1 neurons are distributed in a tonotopic manner at both macro- and microscopic levels. Such organization is likely to be important for the organization of auditory circuits in the primate brain.

neuroscience↗