nicotiana alata
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Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1976
Author(s):  
Yalin Zheng ◽  
Yudong Chen ◽  
Zhiguo Liu ◽  
Hui Wu ◽  
Fangchan Jiao ◽  
...  

Nicotiana alata is an ornamental horticultural plant with a variety of flower colors and a long flowering period. The genes in four different colored N. alata (white, purple, red, and lemon green) were analyzed to explain the differences in flower color using transcriptomes. A total of 32 differential expression genes in the chlorophyll biosynthesis pathway and 41 in the anthocyanin biosynthesis pathway were identified. The enrichment analysis showed that the chlorophyll biosynthesis pathway and anthocyanin biosynthesis pathway play critical roles in the color differences of N. alata. The HEMA of the chlorophyll biosynthesis pathway was up-regulated in lemon green flowers. Compared with white flowers, in the red and purple flowers, F3H, F3′5′H and DFR were significantly up-regulated, while FLS was significantly down-regulated. Seventeen differential expression genes homologous to transcription factor coding genes were obtained, and the homologues of HY5, MYB12, AN1 and AN4 were also involved in flower color differences. The discovery of these candidate genes related to flower color differences is significant for further research on the flower colors formation mechanism and color improvements of N. alata.


2021 ◽  
Vol 289 ◽  
pp. 112488
Author(s):  
Mariana Guadalupe Abrile ◽  
María Laura Fiasconaro ◽  
Daiana Soledad Orecchia ◽  
Ricardo Martín Manzo ◽  
María Eugenia Lovato

2020 ◽  
Vol 212 (1) ◽  
pp. 107578
Author(s):  
María Daniela Torres-Rodríguez ◽  
Lilian González-Segura ◽  
Rogelio Rodríguez-Sotres ◽  
Javier Andrés Juárez-DíaZ ◽  
Yuridia Cruz-Zamora ◽  
...  

Euphytica ◽  
2020 ◽  
Vol 216 (9) ◽  
Author(s):  
Jugou Liao ◽  
Xuemei Wei ◽  
Zhiyun Chen ◽  
Xiaojun Qin ◽  
Zihui Pan ◽  
...  

Chemosphere ◽  
2020 ◽  
Vol 241 ◽  
pp. 125006 ◽  
Author(s):  
Aqib Hassan Ali Khan ◽  
Ismat Nawaz ◽  
Zhiguo Qu ◽  
Tayyab Ashfaq Butt ◽  
Sohail Yousaf ◽  
...  

2019 ◽  
Vol 242 ◽  
pp. 46-55 ◽  
Author(s):  
Aqib Hassan Ali Khan ◽  
Ismat Nawaz ◽  
Sohail Yousaf ◽  
Ammar Sabir Cheema ◽  
Mazhar Iqbal

2019 ◽  
Author(s):  
Brynn Cook ◽  
Alexander Haverkamp ◽  
Bill S. Hansson ◽  
T’ai Roulston ◽  
Manuel Lerdau ◽  
...  

AbstractPollination strongly contributes to food production, and often relies on pollinating insects. However, atmospheric pollution may interfere with pollination by disrupting floral plumes that pollinators use to navigate to flowers.In this study, we examine the impacts of pollution-induced elevated ozone levels on the composition of a floral blend of Nicotiana alata and examine the response of innate and trained Manduca sexta to the ozone-altered blend.Ozone exposure altered the floral blend of N. alata, and disrupted the innate attraction of naïve M. sexta to the altered blend. However, associative learning can offset this disruption in attraction. Moths that were enticed with visual cues to an artificial flower emitting an ozonated blend learned to associate this blend with a nectar reward after just one rewarded experience. More importantly, moths that were rewarded while experiencing the unozonated floral blend of their host subsequently found the ozonated floral blend of the same host attractive, most likely due to experience-based reinforcement of ozone-insensitive cues in the blend.The attraction of moths to both unaltered and ozonated plumes is critical for tolerating polluted landscapes. At the host plant, where moths feed, floral emissions are relatively pure. As floral odors travel away from the host, however, they become degraded by pollution. Therefore, targeting the flower requires recognizing both conditions of the odor. The ability to generalize between the pure and ozone-altered scents may enable pollinators like M. sexta to maintain communication with their flowers and reduce the impact anthropogenic oxidants may have on plant-pollinator systems.


2018 ◽  
Vol 62 (2) ◽  
pp. 261-268 ◽  
Author(s):  
H. J. Rojas ◽  
C. Caspani ◽  
E. G. Escobar ◽  
R. Quiroga ◽  
A. Goldraij

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