Literature DB >> 35684207

Phylogeny and Expression Atlas of the NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY in Agave.

Shibei Tan1, Yanqiong Liang1, Yanlei Huang2, Jingen Xi1, Xing Huang1, Xiaohan Yang3, Kexian Yi1,4,5.   

Abstract

Agave species are widely cultivated crassulacean acid metabolism (CAM) plants for alcoholic beverages, food and fiber production. Among these, the Agave hybrid H11648 ((A. amaniensis × A. angustifolia) × A. amaniensis) is the main cultivar for sisal fiber in the tropical areas of Brazil, China, and African countries. The plants of Agave hybrid H11648 have a long life cycle and large leaves, which require a huge amount of nitrogen nutrient. However, the molecular basis of nitrogen transport and allocation has not been well understood in agave. In this study, we identified 19 NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY(NPF) genes (called AhNPFs) with full-length coding sequences in Agave hybrid H11648. Our analysis of gene expression in various types of tissues revealed the tissue-specific expression pattern of AhNPFs. We further examined their expression patterns at different leaf developmental stages, under abiotic/biotic stresses and nutrient deficiency. The results reveal several candidate regulators in the agave NPF family, including AhNPF4.3/5.2/7.1. We first characterized the NPF genes in agave based on published leaf transcriptome datasets and emphasized their potential functions. The study will benefit future studies related to nitrogen nutrient in agave.

Entities:  

Keywords:  NPF; agave; gene expression; nitrate transporter; phylogeny

Year:  2022        PMID: 35684207      PMCID: PMC9182991          DOI: 10.3390/plants11111434

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


1. Introduction

Nitrate is one of the major nitrogen resources for plant growth and development [1]. As one of the most important nitrate transporters, NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY (NPF) has been well functionally characterized well in arabidopsis (Arabidopsis thaliana L.) [2]. The arabidopsis genome contains 53 NPF genes, which are clustered into eight clades. Among these, AtNPF1.1 (NRT1.12) and AtNPF1.2 (NRT1.11) mediate nitrate allocation to young leaves [3]. AtNPF2.3 contributes to nitrate translocation to shoots under salt stress [4]. AtNPF2.7 regulates nitrate efflux in roots under acidic conditions [5]. AtNPF2.9 (NRT1.9) plays important roles in the phloem loading of nitrate in roots [6]. AtNPF2.12 (NRT1.6) modulates nitrate transport to the embryo [7]. The phloem-expressed AtNPF2.13 (NRT1.7) is responsible for source-to-sink remobilization of nitrate [8]. AtNPF3.1 modulates nitrite accumulation in leaves [9]. AtNPF4.6 (NRT1.2/AIT1) controls nitrite uptake in roots [10]. AtNPF5.5 affects nitrogen accumulation in the embryo [11]. AtNPF5.11, together with AtNPF5.12 and AtNPF5.16, is involved in vacuolar nitrate efflux and reallocation [12]. AtNPF6.2 (NRT1.4) alters leaf development by nitrate storage in the petiole [13]. AtNPF6.3 (NRT1.1) regulates lateral root growth by nitrate-regulated auxin transport [14]. AtNPF7.2 (NRT1.8) functions in nitrate removal from the xylem sap [15]. AtNPF7.3 (NRT1.5) is related to root-to-shoot nitrate transport [16]. AtNPF8.1 (PTR1) and AtNPF8.2 (PTR5) transport dipeptides in root and pollen [17]. Additionally, several AtNPFs have the functions of transporting plant hormones, including auxin, abscisic acid and gibberellin [18]. In contrast, there are 93 NPF genes in the rice (Oryza sativa L.) genome with 7 of them having functions related to nitrate transport and allocation, including OsNPF2.2 (OsPTR2), OsNPF2.4, OsNPF6.5 (OsNRT1.3/NRT1.1B), OsNPF7.2, OsNPF7.3 (OsPTR6), OsNPF8.9 (OsNRT1) and OsNPF8.20 (OsPTR9) [2]. Agave species, which perform crassulacean acid metabolism (CAM) photosynthesis, are widely used for the production of alcoholic beverages, food and fiber [19]. Agave plants have great potential for producing bioenergy in arid and semi-arid regions, with a large nitrogen demand during the life cycle [20,21]. However, the molecular basis of nitrogen transport and allocation has not been well studied in agave [22]. In China, the most widely cultivated Agave species is Agave hybrid H11648 ((A. amaniensis × A. angustifolia) × A. amaniensis), with a main purpose of sisal fiber production [23]. It is of great importance to reveal the mechanism of nitrogen transport and allocation in the leaf, which is both a vegetative and harvestable organ. It is very challenging to sequence and assemble the large agave genomes [24]. Agave hybrid H11648 has been proved to have a high tolerance to heavy metals such as copper (Cu) and lead (Pb) [23]. Additionally, there are two main abiotic/biotic stresses during agave cultivation, including chill and zebra disease caused by Phytophthora nicotianae Breda [19]. Based on the published leaf transcriptome data of Agave H11648, we identified NPF genes in this agave species [25]. We also examined the expression profiles of AhNPFs at different leaf developmental stages, under abiotic/biotic stresses, and after nutrient deficiency treatments. Our findings will provide a guideline for characterizing the candidate functions of AhNPFs in leaf development and multi stress responses [26,27].

2. Results

2.1. Identification and Subcellular Localization of Agave NPF Genes

All arabidopsis and rice NPF genes were selected as query to search against asparagus (Asparagus officinalis L.) genome and agave transcriptome datasets [25,28,29]. Asparagus was selected as a reference due to its close phylogenetic relationship with Agave species [28]. As a result, 53 and 19 NPF genes were identified in asparagus and agave, respectively (Table 1, Table S1). In agave, the lengths of the coding sequences ranged from 1377-2400 bp, with predicted proteins of 458-799 aa. The molecular weights were from 50,193.55 to 89,795.73 and theoretical isoelectric points (pI) were from 5.77 to 9.29. All the agave NPF genes were predicted to be localized at the plasma membrane (Table 1). Additionally, these proteins contained at least six transmembrane helices at the N- or C-termini (Figure S1).
Table 1

Gene ID, accession, coding sequence length, molecular weight, theoretical isoelectric point (pI) and subcellular localization of agave NPFs.

IDAccessionCoding Sequence (bp)Predicted Protein (aa)Molecular WeightpISubcellular Localization
AhNPF2.1 DN41135_c0_g1_i1176758865,558.83 8.91 PlasmaMembrane (4.946)
AhNPF2.2 DN48816_c0_g1_i2240079989,795.73 9.29 PlasmaMembrane (3.655)
AhNPF2.3 DN50815_c0_g2_i3186662168,836.88 8.57 PlasmaMembrane (4.952)
AhNPF3.1 DN41985_c0_g1_i1179759866,083.81 8.58 PlasmaMembrane (4.828)
AhNPF3.2 DN49643_c0_g1_i2178859565,163.86 9.11 PlasmaMembrane (4.727)
AhNPF4.1 DN35785_c0_g1_i1176158664,956.66 8.90 PlasmaMembrane (4.906)
AhNPF4.2 DN44495_c0_g1_i3174358063,224.67 8.98 PlasmaMembrane (4.860)
AhNPF4.3 DN46864_c0_g1_i1178259366,186.76 8.21 PlasmaMembrane (4.872)
AhNPF5.1 DN41592_c0_g1_i2166855561,626.22 5.80 PlasmaMembrane (4.911)
AhNPF5.2 DN44315_c0_g1_i1161153659,762.91 6.47 PlasmaMembrane (4.969)
AhNPF5.3 DN46789_c0_g1_i1160253359,330.15 8.77 PlasmaMembrane (4.937)
AhNPF5.4 DN47034_c0_g2_i1173457763,963.40 8.70 PlasmaMembrane (4.971)
AhNPF5.5 DN48393_c3_g3_i2176158665,431.38 9.05 PlasmaMembrane (4.836)
AhNPF6.1 DN42911_c0_g2_i1173757862,801.28 9.00 PlasmaMembrane (4.919)
AhNPF7.1 DN45587_c0_g2_i1185461768,530.90 5.77 PlasmaMembrane (4.917)
AhNPF8.1 DN41583_c0_g1_i1137745850,193.55 6.82 PlasmaMembrane (4.782)
AhNPF8.2 DN43232_c0_g2_i2177359065,292.70 5.87 PlasmaMembrane (4.876)
AhNPF8.3 DN50692_c0_g1_i8170156662,878.70 7.09 PlasmaMembrane (4.754)
AhNPF8.4 DN51386_c0_g1_i1175858564,615.74 6.18 PlasmaMembrane (4.838)

2.2. Phylogenetic Analysis of Agave NPF Genes

The NPF protein sequences of arabidopsis (53), rice (93), asparagus (53) and agave (19) were selected for phylogenetic analysis. These proteins were clustered into four groups (Figure 1). Group I was further divided into four subgroups, including one NPF1 subgroup, one NPF3 subgroup and two NPF2 subgroups. Group II was divided into two subgroups, containing NPF4 and NPF6 proteins, respectively. There were five subgroups in group III, including one NPF7 subgroup and four NPF8 groups. All NPF5 proteins were clustered into group IV except AtNPF5.5. There were also four subgroups containing only rice NPF proteins, including subgroups IIIb, IIIc, IIId and IVa.
Figure 1

Phylogenetic analysis of NPF family. The protein names of arabidopsis, rice, asparagus and agave are labeled in blue, green, red and pink, respectively.

2.3. Expression Profiles of AhNPFs in Different Agave Tissues

The expression of NPF genes was examined in five agave tissues, including the flower, shoot, leaf, fruit and root (Figure 2). Most AhNPFs showed high expression in at least one tissues (Figure 3). There were eight AhNPFs showing high expression in flower and leaf tissues, including AhNPF2.3/3.2/4.1/5.3/5.4/7.1/8.2/8.4. We found that AhNPF2.2/6.1, AhNPF4.2/5.5/8.1/8.3 and AhNPF5.2 were highly expressed in the flower, leaf and root, respectively. Also, we found high expression of AhNPF2.1 in the leaf/fruit and AhNPF3.1 in the flower/fruit. AhNPF4.3 and AhNPF5.1 showed high expression in most tissues except the shoot.
Figure 2

Photographs of agave plants (A, bar = 10 cm), flower (B, bar = 1 cm), fruit (C, bar = 1 cm), nutrient deficiency-induced biomass (D) and morphological features (E, bar = 5 cm) of agave seedlings. L0, L1 and L2 represent shoot, unexpanded leaf and expanded leaf in potted agave plants, respectively. CK, N(-), P(-), K(-) and W in D and E represent that the agave seedlings were cultured with full-, nitrogen free-, phosphorus free-, potassium free-Hoagland nutrient solutions and water, respectively. Shoot (S) and root (R) of agave seedlings are shown in (E).

Figure 3

Expression pattern of agave NPF genes in different tissues by qRT-PCR. FL, S, L, FR and R represent flower, shoot, leaf, fruit and root, respectively. The genes and tissues were clustered by hierarchical clustering method [30].

2.4. Expression Profiles of AhNPFs during Leaf Development

We have also examined the expression patterns of AhNPFs at different developmental stages of the agave leaf (Figure 2). The results revealed that most AhNPFs were significantly up-regulated at least in the unexpanded (L1) or expanded (L2) leaf except AhNPF8.2, when compared with the shoot stage (L0) (Figure 4). Among these, there were eight and nine AhNPFs with expression levels increased by more than 3- and 10-fold at the L1 stage, respectively. The expressions of 16 AhNPFs were increased more than 3-fold and eight were over 10-fold when comparing L2 with L0. Additionally, only the AhNPF7.1 changed expression levels more than 3-fold when comparing L2 with L1.
Figure 4

Expression pattern of agave NPF genes at leaf developmental stages by qRT-PCR. Y-axis represents relative expression level. L0, L1 and L2 of x-axis represent shoot, unexpanded leaf and expanded leaf, respectively. The error bar represents the standard error. * and ** represent that expression level was increased or decreased by more than 3-fold and 10-fold compared with L0, respectively. The expression values of L0 stages were normalized as 1.

2.5. Expression Profiles of AhNPFs under Abiotic/Biotic Stresses

We also evaluated the expression of AhNPFs in response to five abiotic/biotic stress treatments, including treatments of copper salt, lead salt, chill and Phytophthora nicotianae Breda inoculation (Figure 5). As a result, 12 AhNPFs showed moderate expressions under different stresses. AhNPF8.3 was the only gene with a changed expression level over 3-fold under copper stress. The expression of AhNPF6.1 and AhNPF8.3 were increased and decreased over 3-fold under lead stress, respectively. There were three AhNPFs up-regulated over 3-fold under chill stress, including AhNPF2.1/2.3/4.3. Additionally, AhNPF2.1/AhNPF8.2 and AhNPF7.1 were up- and down-regulated over 3-fold under the biotic stress, respectively.
Figure 5

Expression pattern of agave NPF genes under abiotic/biotic stresses by qRT-PCR. Y-axis represents relative expression level. The labels of x-axis represent control, CuSO4 treatment, Pb(NO3)2 treatment, chill treatment and Phytophthora nicotianae Breda inoculation, respectively. The error bar represents the standard error. * and ** represent that expression level was increased or decreased by more than 3-fold and 10-fold compared with control, respectively. The expression values of control were normalized as 1.

2.6. Expression Profiles of AhNPFs under Nutrient Deficiency

We further carried out nutrient deficiency treatments to evaluate the expression patterns of AhNPFs. The full Hoagland nutrient solution was selected as control (CK). Hoagland nutrient solutions without nitrogen (N-), phosphorus (P-), potassium (K-) and water (W) were set as treatments. The biomass and growth were significantly restricted by the four treatments (Figure 2). The result indicated that 12 AhNPFs were less sensitive to nutrient deficiency (Figure 6). AhNPF4.3 and AhNPF5.2 increased their expressions over 3-fold under N-, P-, K- and W. AhNPF7.1 was up-regulated over 3-fold under N-, K- and W. The expressions of three AhNPFs (AhNPF2.1/3.1/4.1) decreased over 3-fold under P-. Additionally, there were another two AhNPFs (AhNPF3.1/6.1) that showed up-regulated expressions over 3-fold in W.
Figure 6

Expression pattern of agave NPF genes under nutrient deficiency by qRT-PCR. Y-axis represents relative expression level. CK, N(-), P(-), K(-) and W of x-axis represent that the agave seedlings were cultured with full-, nitrogen free-, phosphorus free-, potassium free-Hoagland nutrient solutions and water, respectively. The error bar represents the standard error. * and ** represent that expression level was increased or decreased by more than 3-fold and 10-fold compared with CK, respectively. The expression values of control were normalized as 1.

3. Discussion

3.1. Identification of Agave NPF Genes

In the present study, we have successfully identified 19 NPF genes according to a previous transcriptome dataset, which was a relatively small number compared with asparagus and other species (Table 2). This might be caused by tissue-specific expression because the leaf was the only tissue used for transcriptome assembly in the previous study [25]. It is possible that more agave NPF genes will be identified based on the agave genome sequence which is not available yet. The other agave NPF genes might have an extremely low expression in the leaf, which made it hard to assemble the full-length transcript sequence from Illumina sequencing data [31]. The PacBio SMRT (single molecule real-time) sequencing technology is very powerful for detecting genes with low expressions [32]. There was a similar expression pattern of NPF genes in maize (Zea mays L.) and more than a half of 79 NPF genes showed no expressions in the leaf [29,33]. Most agave NPF genes in this study did not show obvious specific expression in single tissues (Figure 3). Most AhNPFs showed relatively high expressions in no less than two tissues. This might be related to the widely spread transport system of nitrogen, which is important for all of the growth and development processes in plants [2]. There are other factors that might affect gene function and expression, such as nucleotide sequence changes by chromosome recombination [34]. The large amount of 60 chromosomes in A. H11648 has significantly improved the frequency of chromosome recombination compared with the 10 chromosomes in asparagus [24,28]. Insertion or deletion in the promoter and coding region may be introduced, which would directly alter the function and expression of genes [35,36]. The species-specific expansion of NPF genes also exists in subgroup IIIe and IVa in rice (Figure 1). Further studies are still needed to reveal the evolution patterns of NPF genes in plants.
Table 2

Primers used for qRT-PCR analysis.

IDForward PrimerReverse PrimerProduct Size (bp)
AhNPF2.1 GCGCAGACCAATTCAATCCTCGTGCCGATGAAGAAGAAGG206
AhNPF2.2 TCTCCTTCTTCCAAGCCCTGAGCTCACCTGATAGACACCG160
AhNPF2.3 GCTTCCAAATTCCTCCTGCCCACAATCATGGACAGAGCCG182
AhNPF3.1 CCTCGTTGCTGGATTCATCGCTCCCCGCTGATATCACCAT240
AhNPF3.2 TGCTCTAATCGCCGACTCATACCAATGCAAGTCAGGAGGA208
AhNPF4.1 ATCTGCCCGTCAAACTCTGACTTGCTCAACCTGTGTCACC181
AhNPF4.2 TCATCCCTGAAGCCTCCATCGTGTCTTCGTCGAACTGCTC173
AhNPF4.3 TGGTGGAGAGCAAGAGAAGGACCCGAATGAGTACGAGCAA201
AhNPF5.1 ATCCTCCATTTTGCCAAGCGGACCAGAACCGAGACCATCA223
AhNPF5.2 TGGCTGGTGTGGAGAGATTTCAAGTCCCGCAACATAGAGC222
AhNPF5.3 ACCAACACCTGCGACAAATCCTCCACTACAGAGGCCACAA199
AhNPF5.4 ATTGCGAGCGAGACCAAAAGTCTCAGCAACCTCAACACCT187
AhNPF5.5 AGATAACGTGGGGTGGACTGAGCTCCTTGGGGTCATTAGG195
AhNPF6.1 CAATTCGACGACAAGGACCCAGGACCATCGATATGCAGCA170
AhNPF7.1 ACCTGGGCTCTCTCTTTTCCTTGACCGTCCATTTCCTCGA214
AhNPF8.1 ATCAAACGCCTCCAGATTGCCGTCGTCACAAGAGCAAGAG204
AhNPF8.2 GCAAGATAACTGCGGATGGGAGAGAACTGTCAAGAGGGGC195
AhNPF8.3 GCATAATCTTCGCCACGGTTCTCATGTCCGGTGAACTTGC200
AhNPF8.4 CCGCAGTCTACAGCCAAATCAAGCCTCTCTCTTTGCCAGT193
PP2A CCTCCTCCTCCTTCGGTTTGGCCATGAATGTCACCGCAGA235

3.2. Regulation of Agave NPF Genes Associated with Leaf Development, Abiotic/Biotic Stresses and Nutrient Deficiency

We examined the expression patterns of AhNPFs in different tissues, during the process of leaf development and under abiotic/biotic stresses and nutrient deficiency. The results indicate their diverse functions in the growth and development of agave. Each AhNPF gene was dominantly expressed in one or more agave tissues, which indicates their tissue-specific expression patterns. Additionally, the relatively high expression patterns of AhNPF2.3/3.2/5.4/8.4 reveal their importance in the basic nitrogen transport system in agave tissues [2]. Most Agave NPF genes were significantly up-regulated during leaf development, which is consistent with the expression pattern of their orthologous genes in maize [33]. The tiny young shoot is much smaller than the large leaf and its total demand of nitrogen is also much less than the leaf [37]. Additionally, more than half of the NPF genes (47) showed no or extremely low expression levels in the shoot and leaf tissues of maize, which also provided a possible reason for the relatively small amount of NPF genes identified in the agave leaf transcriptome [33]. The expression analysis has also revealed the numbers of candidate AhNPFs under copper, lead, chill and fungus stress. There are one, two, three and three AhNPFs significantly up- or down-regulated under the four stresses, respectively (Figure 5). The results indicate that AhNPFs had different responsesto abiotic/biotic stresses. This might be caused by different sensing and regulating networks upstream of various antioxidant enzymes, which are commonly produced to scavenge reactive oxygen species triggered by stresses in plants [38]. The transport and allocation of nitrate is necessary for the synthesis of these enzymes [26]. Moreover, the expression analysis also indicated the candidate nitrate transporters in agave, including AhNPF4.3/5.2/7.1 (Figure 6). Interestingly, they are also involved in P and K responses. Besides, AhNPF2.1/3.1/4.1 are only involved in the P response and do not have obvious responses to N and K. We infer the existence of crosstalk among the three nutrients, which was also reported in Brassica napus [27,39]. However, more evidence is still needed to reveal the interactions among N, P and K nutrients, which will contribute to the rational application of fertilizers in agave.

4. Materials and Methods

4.1. Sequence Retrieval and Phylogenetic Analysis

The NPF proteins of arabidopsis (53) and rice (93) were selected as the query for homologous sequence identification by the TBlastn method [29,40]. The transcriptome of Agave. hybrid H11648 was selected for sequence retrieval and asparagus was selected as a closely related reference [25,28]. The ORF-FINDER software was used to identify agave NPF genes with full coding sequences, which were further selected for subcellular localization prediction using the CELLO software [41,42]. The protein sequences of arabidopsis, rice, asparagus and agave were selected for phylogenetic analysis. The phylogenetic tree was constructed with the neighbor-joining method and bootstrap values tested for 1000 trials by the MEGA 5.0 software [43].

4.2. Plant Materials and RNA Extraction

The samples of the leaf, flower and fruit were collected from a flowering plant of Agave hybrid H11648at the germplasm garden of Guangxi Subtropical Crops Research Institute (22.90° N, 108.33° E). Fruit samples were collected one month after flowering. The other tissue samples were collected at the Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences (19.99° N, 110.33° E). Shoot and root samples were collected from seedlings after one month of being cultured in Hoagland nutrient solution [44]. The samples of leaf development, abiotic and biotic stresses were collected according to a previous study [23]. The details were as follows. The shoot, unexpanded leaf and fully expanded leaf were separately collected as different developmental stages from 2-year-old plants. The stress treatments were carried out with agave seedlings planted in pots. The leaf samples were collected at 2 weeks after watering with solutions of CuSO4 (1 g/Kg) and Pb(NO3)2 (1.3 g/Kg), and 5 days after the inoculation of Phytophthora nicotianae Breda. The potted seedlings were placed in an incubator at 6 °C as chill treatment and sampled at 24 h. Untreated leaves were also sampled as control. The agave seedlings were cultured in water for rooting and then utilized for nutrient deficiency treatments after one week. The full Hoagland nutrient solution was selected as control [44]. The solutions without N, P and K nutrients were selected as treatments [45]. Water was selected as a nutrient-free treatment. The leaves were sampled after the seedlings were cultured for 6 months. Each sample or treatment was repeated three times as biological replicates. All the samples were ground into powder after immediate freezing in liquid nitrogen. Total RNA was extracted with the Tiangen RNA prep Pure Plant Kit (Tiangen Biomart, Beijing, China) and stored at −80 °C.

4.3. Analysis of Gene Expression Using Quantitative Reverse Transcription PCR (qRT-PCR)

The total RNA was reverse transcribed into cDNA for qRT-PCR analysis by the GoScript Reverse Transcription System (Promega, Madison, WI, USA). Each qRT-PCR reaction solution was mixed to a final volume of 20 μL, including 10 μL of TransStart Tip Green qPCR Supermix (Transgen Biotech, Beijing, China), 0.4 μL of Passive Reference Dye (50×) (Transgen Biotech, Beijing, China), 1 μL of cDNA template, 0.5 μL of 2 gene-specific primers (10 μM) and 7.6 μL ddH2O. The QuantStudio 6 Flex Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA) was used for qRT-PCR reaction with a program including 94 °C for 30 s, 40 cycles of 94 °C for 5 s and 60 °C for 30 s, and a final dissociation stage. The reaction was carried out in each sample 3 times as the technical repeat. Gene specific primers of AhNPFs were designed by the Primer 3 software (Table 2) [46]. The protein phosphatase 2A (PP2A) gene was used as the endogenous control [23]. We selected the ΔΔCt method to calculate relative expression levels, as reported in a previous study [47].

5. Conclusions

In this study, we identified 19 NPF genes on the leaf transcriptome of Agave hybrid H11648. Our analysis of gene expression in various types of tissues revealed the tissue-specific expression pattern of AhNPFs. We further examined their expression patterns at different leaf developmental stages, under abiotic/biotic stresses and nutrient deficiency. The results reveal several candidate regulators in the agave NPF family, including AhNPF4.3/5.2/7.1. Our results provide a guideline to reveal the complex genetic dissection of the agave NPF family, which will benefit future studies related to the mechanism of nitrate nutrients in agave.
  45 in total

1.  ORF-FINDER: a vector for high-throughput gene identification.

Authors:  Irene T Rombel; Kathryn F Sykes; Simon Rayner; Stephen Albert Johnston
Journal:  Gene       Date:  2002-01-09       Impact factor: 3.688

Review 2.  Nitrate: nutrient and signal for plant growth.

Authors:  N M Crawford
Journal:  Plant Cell       Date:  1995-07       Impact factor: 11.277

3.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

4.  Improving nitrogen use efficiency: from cells to plant systems.

Authors:  Guohua Xu; Hideki Takahashi
Journal:  J Exp Bot       Date:  2020-07-25       Impact factor: 6.992

5.  Genome-wide transcript analysis of early maize leaf development reveals gene cohorts associated with the differentiation of C4 Kranz anatomy.

Authors:  Peng Wang; Steven Kelly; Jim P Fouracre; Jane A Langdale
Journal:  Plant J       Date:  2013-06-08       Impact factor: 6.417

Review 6.  Nitrate Transport, Signaling, and Use Efficiency.

Authors:  Ya-Yun Wang; Yu-Hsuan Cheng; Kuo-En Chen; Yi-Fang Tsay
Journal:  Annu Rev Plant Biol       Date:  2018-03-23       Impact factor: 26.379

7.  Mutation of the Arabidopsis NRT1.5 nitrate transporter causes defective root-to-shoot nitrate transport.

Authors:  Shan-Hua Lin; Hui-Fen Kuo; Geneviève Canivenc; Choun-Sea Lin; Marc Lepetit; Po-Kai Hsu; Pascal Tillard; Huey-Ling Lin; Ya-Yun Wang; Chyn-Bey Tsai; Alain Gojon; Yi-Fang Tsay
Journal:  Plant Cell       Date:  2008-09-09       Impact factor: 11.277

8.  Nitrogen acquisition in Agave tequilana from degradation of endophytic bacteria.

Authors:  Miguel J Beltran-Garcia; James F White; Fernanda M Prado; Katia R Prieto; Lydia F Yamaguchi; Monica S Torres; Massuo J Kato; Marisa H G Medeiros; Paolo Di Mascio
Journal:  Sci Rep       Date:  2014-11-06       Impact factor: 4.379

Review 9.  The Expected and Unexpected Roles of Nitrate Transporters in Plant Abiotic Stress Resistance and Their Regulation.

Authors:  Guo-Bin Zhang; Shuan Meng; Ji-Ming Gong
Journal:  Int J Mol Sci       Date:  2018-11-09       Impact factor: 5.923

10.  Genome-wide characterization, expression analyses, and functional prediction of the NPF family in Brassica napus.

Authors:  Jing Wen; Peng-Feng Li; Feng Ran; Peng-Cheng Guo; Jia-Tian Zhu; Jin Yang; Lan-Lan Zhang; Ping Chen; Jia-Na Li; Hai Du
Journal:  BMC Genomics       Date:  2020-12-07       Impact factor: 3.969

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