Turkish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Biochemical and Biophysical Research Communications 2019-Nov

Establishment of a novel method for the identification of fertilization defective mutants in Arabidopsis thaliana.

Sadece kayıtlı kullanıcılar makaleleri çevirebilir
Giriş yapmak kayıt olmak
Bağlantı panoya kaydedilir
Xiaoyan Liu
Xiaoyan Wu
Prakash Adhikari
Shaowei Zhu
Ryushiro Kasahara

Anahtar kelimeler

Öz

Plant reproduction is an extremely important phenomenon, as it is strongly associated with plant genetics and early development. Additionally, foundations of the reproductive system have direct implications on plant breeding and agriculture. Investigation of the functions of male and female gametophytes is critical since their fusion is required for seed formation. Although a large number of mutants have been generated to understand the functions of male and female gametophytes, only a small number of genes required for plant fertilization have been identified to date. This is because the screening method used previously required the dissection of siliques, and fertilization-specific mutants exhibiting semi-fertility (or ∼50% fertility) were difficult to identify. Here, we report a new efficient screening method for the identification of fertilization defective mutants in Arabidopsis thaliana using vanillin staining. This method is based on the pollen tube-dependent ovule enlargement morphology (POEM) phenomenon, which generates a partial seed coat within the ovule without fertilization. Using this method, we successfully identified 23 putative fertilization defective mutants in Arabidopsis.

Facebook sayfamıza katılın

Bilim tarafından desteklenen en eksiksiz şifalı otlar veritabanı

  • 55 dilde çalışır
  • Bilim destekli bitkisel kürler
  • Görüntüye göre bitki tanıma
  • Etkileşimli GPS haritası - bölgedeki bitkileri etiketleyin (yakında)
  • Aramanızla ilgili bilimsel yayınları okuyun
  • Şifalı bitkileri etkilerine göre arayın
  • İlgi alanlarınızı düzenleyin ve haber araştırmaları, klinik denemeler ve patentlerle güncel kalın

Bir belirti veya hastalık yazın ve yardımcı olabilecek bitkiler hakkında bilgi edinin, bir bitki yazın ve karşı kullanıldığı hastalıkları ve semptomları görün.
* Tüm bilgiler yayınlanmış bilimsel araştırmalara dayanmaktadır

Google Play badgeApp Store badge